first commit
Browse files- README.md +81 -3
- added_tokens.json +10 -0
- all_results.json +21 -0
- config.json +26 -0
- eval_results.json +16 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- runs/Apr13_21-08-49_pt-4rcsf1vl-worker-0/events.out.tfevents.1713013930.pt-4rcsf1vl-worker-0.38.0 +3 -0
- runs/Apr13_21-08-49_pt-4rcsf1vl-worker-0/events.out.tfevents.1713028337.pt-4rcsf1vl-worker-0.38.1 +3 -0
- special_tokens_map.json +40 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +116 -0
- train_results.json +8 -0
- trainer_state.json +1584 -0
- training_args.bin +3 -0
README.md
CHANGED
@@ -1,3 +1,81 @@
|
|
1 |
-
---
|
2 |
-
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: /mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce
|
3 |
+
tags:
|
4 |
+
- alignment-handbook
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- /mnt/cache/luzimu/rlhf_math/data/controled_steps_math_gsm8k_lce_dpo_ascend_lim2_lim3_add_dpo1x1
|
8 |
+
model-index:
|
9 |
+
- name: Mistral-7B-v0.1-lce_controled_steps_dpo_ascend_lim2_lim3_add_dpo1x1
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# Mistral-7B-v0.1-lce_controled_steps_dpo_ascend_lim2_lim3_add_dpo1x1
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [/mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce](https://huggingface.co//mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce) on the /mnt/cache/luzimu/rlhf_math/data/controled_steps_math_gsm8k_lce_dpo_ascend_lim2_lim3_add_dpo1x1 dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.1793
|
21 |
+
- Rewards/chosen: 0.2587
|
22 |
+
- Rewards/rejected: -7.0301
|
23 |
+
- Rewards/accuracies: 0.8947
|
24 |
+
- Rewards/margins: 7.2889
|
25 |
+
- Logps/rejected: -253.7773
|
26 |
+
- Logps/chosen: -80.3105
|
27 |
+
- Logits/rejected: -2.3417
|
28 |
+
- Logits/chosen: -2.3846
|
29 |
+
|
30 |
+
## Model description
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Intended uses & limitations
|
35 |
+
|
36 |
+
More information needed
|
37 |
+
|
38 |
+
## Training and evaluation data
|
39 |
+
|
40 |
+
More information needed
|
41 |
+
|
42 |
+
## Training procedure
|
43 |
+
|
44 |
+
### Training hyperparameters
|
45 |
+
|
46 |
+
The following hyperparameters were used during training:
|
47 |
+
- learning_rate: 1e-07
|
48 |
+
- train_batch_size: 2
|
49 |
+
- eval_batch_size: 4
|
50 |
+
- seed: 42
|
51 |
+
- distributed_type: multi-GPU
|
52 |
+
- num_devices: 4
|
53 |
+
- gradient_accumulation_steps: 8
|
54 |
+
- total_train_batch_size: 64
|
55 |
+
- total_eval_batch_size: 16
|
56 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
57 |
+
- lr_scheduler_type: cosine
|
58 |
+
- lr_scheduler_warmup_ratio: 0.1
|
59 |
+
- num_epochs: 2
|
60 |
+
|
61 |
+
### Training results
|
62 |
+
|
63 |
+
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
64 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
65 |
+
| 0.3963 | 0.21 | 100 | 0.3636 | 1.8634 | -0.1518 | 0.8816 | 2.0152 | -184.9944 | -64.2644 | -2.7112 | -2.7505 |
|
66 |
+
| 0.2849 | 0.43 | 200 | 0.2598 | 0.7706 | -3.7221 | 0.8816 | 4.4927 | -220.6974 | -75.1921 | -2.5067 | -2.5475 |
|
67 |
+
| 0.2496 | 0.64 | 300 | 0.2295 | 0.9323 | -4.2717 | 0.8684 | 5.2040 | -226.1934 | -73.5753 | -2.5080 | -2.5494 |
|
68 |
+
| 0.2331 | 0.86 | 400 | 0.2089 | 0.7871 | -4.8912 | 0.8684 | 5.6783 | -232.3884 | -75.0269 | -2.4967 | -2.5382 |
|
69 |
+
| 0.0874 | 1.07 | 500 | 0.1872 | 0.6345 | -5.7444 | 0.8816 | 6.3789 | -240.9202 | -76.5527 | -2.4323 | -2.4761 |
|
70 |
+
| 0.1217 | 1.28 | 600 | 0.1832 | 0.2282 | -6.6907 | 0.8684 | 6.9188 | -250.3827 | -80.6161 | -2.3741 | -2.4172 |
|
71 |
+
| 0.0966 | 1.5 | 700 | 0.1807 | 0.1849 | -7.0125 | 0.8816 | 7.1975 | -253.6012 | -81.0485 | -2.3503 | -2.3940 |
|
72 |
+
| 0.0755 | 1.71 | 800 | 0.1802 | 0.3224 | -6.9539 | 0.8947 | 7.2763 | -253.0150 | -79.6739 | -2.3437 | -2.3867 |
|
73 |
+
| 0.1177 | 1.93 | 900 | 0.1793 | 0.2587 | -7.0301 | 0.8947 | 7.2889 | -253.7773 | -80.3105 | -2.3417 | -2.3846 |
|
74 |
+
|
75 |
+
|
76 |
+
### Framework versions
|
77 |
+
|
78 |
+
- Transformers 4.38.2
|
79 |
+
- Pytorch 2.1.2
|
80 |
+
- Datasets 2.14.6
|
81 |
+
- Tokenizers 0.15.2
|
added_tokens.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 32002,
|
3 |
+
"<|code|>": 32004,
|
4 |
+
"<|endofblock|>": 32006,
|
5 |
+
"<|endofmessage|>": 32007,
|
6 |
+
"<|execution|>": 32005,
|
7 |
+
"<|system|>": 32001,
|
8 |
+
"<|text|>": 32003,
|
9 |
+
"<|user|>": 32000
|
10 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"eval_logits/chosen": -2.3846213817596436,
|
4 |
+
"eval_logits/rejected": -2.3414511680603027,
|
5 |
+
"eval_logps/chosen": -80.37240600585938,
|
6 |
+
"eval_logps/rejected": -253.9702911376953,
|
7 |
+
"eval_loss": 0.17943651974201202,
|
8 |
+
"eval_rewards/accuracies": 0.8947368264198303,
|
9 |
+
"eval_rewards/chosen": 0.25255322456359863,
|
10 |
+
"eval_rewards/margins": 7.301982879638672,
|
11 |
+
"eval_rewards/rejected": -7.049429416656494,
|
12 |
+
"eval_runtime": 27.9087,
|
13 |
+
"eval_samples": 301,
|
14 |
+
"eval_samples_per_second": 10.785,
|
15 |
+
"eval_steps_per_second": 0.681,
|
16 |
+
"train_loss": 0.21607095603003493,
|
17 |
+
"train_runtime": 14362.1771,
|
18 |
+
"train_samples": 29893,
|
19 |
+
"train_samples_per_second": 4.163,
|
20 |
+
"train_steps_per_second": 0.065
|
21 |
+
}
|
config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce",
|
3 |
+
"architectures": [
|
4 |
+
"MistralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 1,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 14336,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"model_type": "mistral",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"rms_norm_eps": 1e-05,
|
19 |
+
"rope_theta": 10000.0,
|
20 |
+
"sliding_window": 4096,
|
21 |
+
"tie_word_embeddings": false,
|
22 |
+
"torch_dtype": "bfloat16",
|
23 |
+
"transformers_version": "4.38.2",
|
24 |
+
"use_cache": true,
|
25 |
+
"vocab_size": 32128
|
26 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"eval_logits/chosen": -2.3846213817596436,
|
4 |
+
"eval_logits/rejected": -2.3414511680603027,
|
5 |
+
"eval_logps/chosen": -80.37240600585938,
|
6 |
+
"eval_logps/rejected": -253.9702911376953,
|
7 |
+
"eval_loss": 0.17943651974201202,
|
8 |
+
"eval_rewards/accuracies": 0.8947368264198303,
|
9 |
+
"eval_rewards/chosen": 0.25255322456359863,
|
10 |
+
"eval_rewards/margins": 7.301982879638672,
|
11 |
+
"eval_rewards/rejected": -7.049429416656494,
|
12 |
+
"eval_runtime": 27.9087,
|
13 |
+
"eval_samples": 301,
|
14 |
+
"eval_samples_per_second": 10.785,
|
15 |
+
"eval_steps_per_second": 0.681
|
16 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.38.2"
|
6 |
+
}
|
model-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:069598f45d8fd3590f09b131ccc53f5e465fcad0e0fa0311e573059bc11981dc
|
3 |
+
size 4944210912
|
model-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41642eb1352d6e8c6223d417778bbe985f677e0528884a6847c79e32de850e97
|
3 |
+
size 4999819336
|
model-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a65eeb14cb3c2bd4bd2460f5f56989d6d02df8b51446409f430afcfb4b042bda
|
3 |
+
size 4541564920
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 14485561344
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00003-of-00003.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
296 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
297 |
+
}
|
298 |
+
}
|
runs/Apr13_21-08-49_pt-4rcsf1vl-worker-0/events.out.tfevents.1713013930.pt-4rcsf1vl-worker-0.38.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f3889c86e1e64be477579961cb4a6af53bfa372d24eec5019ffff3f30a33a9f0
|
3 |
+
size 76575
|
runs/Apr13_21-08-49_pt-4rcsf1vl-worker-0/events.out.tfevents.1713028337.pt-4rcsf1vl-worker-0.38.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c1c008b168faa818b02fe2fed64b827c767cf28e925a7a453187472ff8bb45d
|
3 |
+
size 828
|
special_tokens_map.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|user|>",
|
4 |
+
"<|system|>",
|
5 |
+
"<|assistant|>",
|
6 |
+
"<|text|>",
|
7 |
+
"<|code|>",
|
8 |
+
"<|execution|>",
|
9 |
+
"<|endofblock|>",
|
10 |
+
"<|endofmessage|>"
|
11 |
+
],
|
12 |
+
"bos_token": {
|
13 |
+
"content": "<s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"eos_token": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": true,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false
|
25 |
+
},
|
26 |
+
"pad_token": {
|
27 |
+
"content": "</s>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": true,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
},
|
33 |
+
"unk_token": {
|
34 |
+
"content": "<unk>",
|
35 |
+
"lstrip": false,
|
36 |
+
"normalized": true,
|
37 |
+
"rstrip": false,
|
38 |
+
"single_word": false
|
39 |
+
}
|
40 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,116 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": true,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32000": {
|
30 |
+
"content": "<|user|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32001": {
|
38 |
+
"content": "<|system|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"32002": {
|
46 |
+
"content": "<|assistant|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"32003": {
|
54 |
+
"content": "<|text|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"32004": {
|
62 |
+
"content": "<|code|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"32005": {
|
70 |
+
"content": "<|execution|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"32006": {
|
78 |
+
"content": "<|endofblock|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"32007": {
|
86 |
+
"content": "<|endofmessage|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
}
|
93 |
+
},
|
94 |
+
"additional_special_tokens": [
|
95 |
+
"<|user|>",
|
96 |
+
"<|system|>",
|
97 |
+
"<|assistant|>",
|
98 |
+
"<|text|>",
|
99 |
+
"<|code|>",
|
100 |
+
"<|execution|>",
|
101 |
+
"<|endofblock|>",
|
102 |
+
"<|endofmessage|>"
|
103 |
+
],
|
104 |
+
"bos_token": "<s>",
|
105 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>' }}{% elif message['role'] == 'system' %}\n{{ '<|system|>' }}{% elif message['role'] == 'assistant_correct' %}\n{{ '<|assistant|>' }}{% endif %}\n{% for block in message['content'] %}\n{% if block['type'] == 'text' %}\n{{ '<|text|>' }}{% elif block['type'] == 'code' %}\n{{ '<|code|>' }}{% elif block['type'] == 'execution' %}\n{{ '<|execution|>' }}{% endif %}\n{{ block['content'] + '<|endofblock|>' }}{% endfor %}\n{% if message['role'] != 'assistant_correct' %}\n{{ '<|endofmessage|>' }}{% endif %}{% endfor %}",
|
106 |
+
"clean_up_tokenization_spaces": false,
|
107 |
+
"eos_token": "</s>",
|
108 |
+
"legacy": true,
|
109 |
+
"model_max_length": 2048,
|
110 |
+
"pad_token": "</s>",
|
111 |
+
"sp_model_kwargs": {},
|
112 |
+
"spaces_between_special_tokens": false,
|
113 |
+
"tokenizer_class": "LlamaTokenizer",
|
114 |
+
"unk_token": "<unk>",
|
115 |
+
"use_default_system_prompt": true
|
116 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"train_loss": 0.21607095603003493,
|
4 |
+
"train_runtime": 14362.1771,
|
5 |
+
"train_samples": 29893,
|
6 |
+
"train_samples_per_second": 4.163,
|
7 |
+
"train_steps_per_second": 0.065
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1584 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9994648113459994,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 934,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"grad_norm": 233.47004915999355,
|
14 |
+
"learning_rate": 1.0638297872340424e-09,
|
15 |
+
"logits/chosen": -2.9313061237335205,
|
16 |
+
"logits/rejected": -2.9551453590393066,
|
17 |
+
"logps/chosen": -84.83019256591797,
|
18 |
+
"logps/rejected": -122.72698974609375,
|
19 |
+
"loss": 0.6931,
|
20 |
+
"rewards/accuracies": 0.0,
|
21 |
+
"rewards/chosen": 0.0,
|
22 |
+
"rewards/margins": 0.0,
|
23 |
+
"rewards/rejected": 0.0,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.02,
|
28 |
+
"grad_norm": 260.5751075825045,
|
29 |
+
"learning_rate": 1.0638297872340425e-08,
|
30 |
+
"logits/chosen": -2.9027864933013916,
|
31 |
+
"logits/rejected": -2.9143683910369873,
|
32 |
+
"logps/chosen": -89.16300964355469,
|
33 |
+
"logps/rejected": -185.06263732910156,
|
34 |
+
"loss": 0.6955,
|
35 |
+
"rewards/accuracies": 0.4236111044883728,
|
36 |
+
"rewards/chosen": 0.003953192848712206,
|
37 |
+
"rewards/margins": -6.558249151566997e-05,
|
38 |
+
"rewards/rejected": 0.004018775187432766,
|
39 |
+
"step": 10
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.04,
|
43 |
+
"grad_norm": 208.3552637601932,
|
44 |
+
"learning_rate": 2.127659574468085e-08,
|
45 |
+
"logits/chosen": -2.913933038711548,
|
46 |
+
"logits/rejected": -2.928837537765503,
|
47 |
+
"logps/chosen": -80.42648315429688,
|
48 |
+
"logps/rejected": -182.06158447265625,
|
49 |
+
"loss": 0.6916,
|
50 |
+
"rewards/accuracies": 0.5625,
|
51 |
+
"rewards/chosen": 0.014185728505253792,
|
52 |
+
"rewards/margins": 0.009901548735797405,
|
53 |
+
"rewards/rejected": 0.004284179303795099,
|
54 |
+
"step": 20
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.06,
|
58 |
+
"grad_norm": 230.6593263920013,
|
59 |
+
"learning_rate": 3.191489361702128e-08,
|
60 |
+
"logits/chosen": -2.9638733863830566,
|
61 |
+
"logits/rejected": -2.947378396987915,
|
62 |
+
"logps/chosen": -98.21806335449219,
|
63 |
+
"logps/rejected": -209.5995635986328,
|
64 |
+
"loss": 0.6746,
|
65 |
+
"rewards/accuracies": 0.6187499761581421,
|
66 |
+
"rewards/chosen": 0.06607931107282639,
|
67 |
+
"rewards/margins": 0.030630504712462425,
|
68 |
+
"rewards/rejected": 0.03544881194829941,
|
69 |
+
"step": 30
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.09,
|
73 |
+
"grad_norm": 229.5001403960732,
|
74 |
+
"learning_rate": 4.25531914893617e-08,
|
75 |
+
"logits/chosen": -2.8966455459594727,
|
76 |
+
"logits/rejected": -2.928231716156006,
|
77 |
+
"logps/chosen": -89.00160217285156,
|
78 |
+
"logps/rejected": -181.76254272460938,
|
79 |
+
"loss": 0.6351,
|
80 |
+
"rewards/accuracies": 0.737500011920929,
|
81 |
+
"rewards/chosen": 0.2816316783428192,
|
82 |
+
"rewards/margins": 0.13491405546665192,
|
83 |
+
"rewards/rejected": 0.1467176377773285,
|
84 |
+
"step": 40
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.11,
|
88 |
+
"grad_norm": 156.2561754732514,
|
89 |
+
"learning_rate": 5.3191489361702123e-08,
|
90 |
+
"logits/chosen": -2.900092601776123,
|
91 |
+
"logits/rejected": -2.8932037353515625,
|
92 |
+
"logps/chosen": -83.15284729003906,
|
93 |
+
"logps/rejected": -171.3411102294922,
|
94 |
+
"loss": 0.5936,
|
95 |
+
"rewards/accuracies": 0.7437499761581421,
|
96 |
+
"rewards/chosen": 0.5719220638275146,
|
97 |
+
"rewards/margins": 0.29314228892326355,
|
98 |
+
"rewards/rejected": 0.2787797451019287,
|
99 |
+
"step": 50
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.13,
|
103 |
+
"grad_norm": 132.07680968174566,
|
104 |
+
"learning_rate": 6.382978723404255e-08,
|
105 |
+
"logits/chosen": -2.891676425933838,
|
106 |
+
"logits/rejected": -2.9195587635040283,
|
107 |
+
"logps/chosen": -74.60004425048828,
|
108 |
+
"logps/rejected": -182.98202514648438,
|
109 |
+
"loss": 0.5168,
|
110 |
+
"rewards/accuracies": 0.824999988079071,
|
111 |
+
"rewards/chosen": 1.0686428546905518,
|
112 |
+
"rewards/margins": 0.6195236444473267,
|
113 |
+
"rewards/rejected": 0.4491192400455475,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.15,
|
118 |
+
"grad_norm": 151.5773318247949,
|
119 |
+
"learning_rate": 7.446808510638298e-08,
|
120 |
+
"logits/chosen": -2.9197444915771484,
|
121 |
+
"logits/rejected": -2.9284892082214355,
|
122 |
+
"logps/chosen": -74.910888671875,
|
123 |
+
"logps/rejected": -172.590087890625,
|
124 |
+
"loss": 0.5056,
|
125 |
+
"rewards/accuracies": 0.824999988079071,
|
126 |
+
"rewards/chosen": 1.4046766757965088,
|
127 |
+
"rewards/margins": 0.7043676376342773,
|
128 |
+
"rewards/rejected": 0.7003089189529419,
|
129 |
+
"step": 70
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.17,
|
133 |
+
"grad_norm": 130.65989464011713,
|
134 |
+
"learning_rate": 8.51063829787234e-08,
|
135 |
+
"logits/chosen": -2.9318323135375977,
|
136 |
+
"logits/rejected": -2.897862195968628,
|
137 |
+
"logps/chosen": -67.76197052001953,
|
138 |
+
"logps/rejected": -189.8668670654297,
|
139 |
+
"loss": 0.4526,
|
140 |
+
"rewards/accuracies": 0.84375,
|
141 |
+
"rewards/chosen": 1.649476408958435,
|
142 |
+
"rewards/margins": 1.2739518880844116,
|
143 |
+
"rewards/rejected": 0.3755245506763458,
|
144 |
+
"step": 80
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.19,
|
148 |
+
"grad_norm": 135.89857787297694,
|
149 |
+
"learning_rate": 9.574468085106384e-08,
|
150 |
+
"logits/chosen": -2.870614528656006,
|
151 |
+
"logits/rejected": -2.8664841651916504,
|
152 |
+
"logps/chosen": -72.87008666992188,
|
153 |
+
"logps/rejected": -173.2789764404297,
|
154 |
+
"loss": 0.4347,
|
155 |
+
"rewards/accuracies": 0.8125,
|
156 |
+
"rewards/chosen": 1.8745962381362915,
|
157 |
+
"rewards/margins": 1.2003813982009888,
|
158 |
+
"rewards/rejected": 0.674214780330658,
|
159 |
+
"step": 90
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.21,
|
163 |
+
"grad_norm": 147.9607240979239,
|
164 |
+
"learning_rate": 9.998741174712532e-08,
|
165 |
+
"logits/chosen": -2.8332231044769287,
|
166 |
+
"logits/rejected": -2.846297264099121,
|
167 |
+
"logps/chosen": -74.4647445678711,
|
168 |
+
"logps/rejected": -185.64999389648438,
|
169 |
+
"loss": 0.3963,
|
170 |
+
"rewards/accuracies": 0.856249988079071,
|
171 |
+
"rewards/chosen": 1.7484337091445923,
|
172 |
+
"rewards/margins": 1.455592393875122,
|
173 |
+
"rewards/rejected": 0.29284122586250305,
|
174 |
+
"step": 100
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.21,
|
178 |
+
"eval_logits/chosen": -2.750455856323242,
|
179 |
+
"eval_logits/rejected": -2.711240530014038,
|
180 |
+
"eval_logps/chosen": -64.26441192626953,
|
181 |
+
"eval_logps/rejected": -184.994384765625,
|
182 |
+
"eval_loss": 0.36364680528640747,
|
183 |
+
"eval_rewards/accuracies": 0.8815789222717285,
|
184 |
+
"eval_rewards/chosen": 1.8633519411087036,
|
185 |
+
"eval_rewards/margins": 2.015190839767456,
|
186 |
+
"eval_rewards/rejected": -0.15183834731578827,
|
187 |
+
"eval_runtime": 27.7804,
|
188 |
+
"eval_samples_per_second": 10.835,
|
189 |
+
"eval_steps_per_second": 0.684,
|
190 |
+
"step": 100
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 0.24,
|
194 |
+
"grad_norm": 144.1908317487022,
|
195 |
+
"learning_rate": 9.991050648838675e-08,
|
196 |
+
"logits/chosen": -2.8495163917541504,
|
197 |
+
"logits/rejected": -2.819291353225708,
|
198 |
+
"logps/chosen": -62.78534698486328,
|
199 |
+
"logps/rejected": -203.07852172851562,
|
200 |
+
"loss": 0.3763,
|
201 |
+
"rewards/accuracies": 0.918749988079071,
|
202 |
+
"rewards/chosen": 1.7807117700576782,
|
203 |
+
"rewards/margins": 2.012101888656616,
|
204 |
+
"rewards/rejected": -0.231390118598938,
|
205 |
+
"step": 110
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.26,
|
209 |
+
"grad_norm": 126.7835721201166,
|
210 |
+
"learning_rate": 9.976379687325631e-08,
|
211 |
+
"logits/chosen": -2.7876718044281006,
|
212 |
+
"logits/rejected": -2.7896816730499268,
|
213 |
+
"logps/chosen": -63.9537353515625,
|
214 |
+
"logps/rejected": -183.58328247070312,
|
215 |
+
"loss": 0.3381,
|
216 |
+
"rewards/accuracies": 0.893750011920929,
|
217 |
+
"rewards/chosen": 1.7092759609222412,
|
218 |
+
"rewards/margins": 2.222316265106201,
|
219 |
+
"rewards/rejected": -0.5130404233932495,
|
220 |
+
"step": 120
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.28,
|
224 |
+
"grad_norm": 224.70875384146225,
|
225 |
+
"learning_rate": 9.954748808839674e-08,
|
226 |
+
"logits/chosen": -2.799767017364502,
|
227 |
+
"logits/rejected": -2.79805064201355,
|
228 |
+
"logps/chosen": -81.58202362060547,
|
229 |
+
"logps/rejected": -194.84872436523438,
|
230 |
+
"loss": 0.3302,
|
231 |
+
"rewards/accuracies": 0.84375,
|
232 |
+
"rewards/chosen": 1.278132438659668,
|
233 |
+
"rewards/margins": 2.2866179943084717,
|
234 |
+
"rewards/rejected": -1.0084853172302246,
|
235 |
+
"step": 130
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.3,
|
239 |
+
"grad_norm": 152.12671314001338,
|
240 |
+
"learning_rate": 9.926188266120296e-08,
|
241 |
+
"logits/chosen": -2.763793706893921,
|
242 |
+
"logits/rejected": -2.727785348892212,
|
243 |
+
"logps/chosen": -75.18443298339844,
|
244 |
+
"logps/rejected": -176.11270141601562,
|
245 |
+
"loss": 0.3357,
|
246 |
+
"rewards/accuracies": 0.8500000238418579,
|
247 |
+
"rewards/chosen": 1.239394187927246,
|
248 |
+
"rewards/margins": 2.4168992042541504,
|
249 |
+
"rewards/rejected": -1.1775051355361938,
|
250 |
+
"step": 140
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.32,
|
254 |
+
"grad_norm": 175.5036541136684,
|
255 |
+
"learning_rate": 9.890738003669028e-08,
|
256 |
+
"logits/chosen": -2.7513179779052734,
|
257 |
+
"logits/rejected": -2.7361416816711426,
|
258 |
+
"logps/chosen": -81.78472900390625,
|
259 |
+
"logps/rejected": -219.29556274414062,
|
260 |
+
"loss": 0.2906,
|
261 |
+
"rewards/accuracies": 0.8812500238418579,
|
262 |
+
"rewards/chosen": 0.717334508895874,
|
263 |
+
"rewards/margins": 3.1458559036254883,
|
264 |
+
"rewards/rejected": -2.4285213947296143,
|
265 |
+
"step": 150
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.34,
|
269 |
+
"grad_norm": 170.33413139097263,
|
270 |
+
"learning_rate": 9.848447601883434e-08,
|
271 |
+
"logits/chosen": -2.6835436820983887,
|
272 |
+
"logits/rejected": -2.68257737159729,
|
273 |
+
"logps/chosen": -84.51789855957031,
|
274 |
+
"logps/rejected": -208.9514923095703,
|
275 |
+
"loss": 0.3133,
|
276 |
+
"rewards/accuracies": 0.893750011920929,
|
277 |
+
"rewards/chosen": 0.4816192090511322,
|
278 |
+
"rewards/margins": 2.897939443588257,
|
279 |
+
"rewards/rejected": -2.416320323944092,
|
280 |
+
"step": 160
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 0.36,
|
284 |
+
"grad_norm": 162.15836168812638,
|
285 |
+
"learning_rate": 9.799376207714445e-08,
|
286 |
+
"logits/chosen": -2.645550489425659,
|
287 |
+
"logits/rejected": -2.6841909885406494,
|
288 |
+
"logps/chosen": -82.82842254638672,
|
289 |
+
"logps/rejected": -195.99717712402344,
|
290 |
+
"loss": 0.3403,
|
291 |
+
"rewards/accuracies": 0.893750011920929,
|
292 |
+
"rewards/chosen": 0.4788424074649811,
|
293 |
+
"rewards/margins": 2.944272518157959,
|
294 |
+
"rewards/rejected": -2.46543025970459,
|
295 |
+
"step": 170
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.39,
|
299 |
+
"grad_norm": 119.29724112251517,
|
300 |
+
"learning_rate": 9.743592451943998e-08,
|
301 |
+
"logits/chosen": -2.687215805053711,
|
302 |
+
"logits/rejected": -2.6954283714294434,
|
303 |
+
"logps/chosen": -82.87139129638672,
|
304 |
+
"logps/rejected": -229.29202270507812,
|
305 |
+
"loss": 0.2932,
|
306 |
+
"rewards/accuracies": 0.8812500238418579,
|
307 |
+
"rewards/chosen": 0.5700880289077759,
|
308 |
+
"rewards/margins": 3.488856792449951,
|
309 |
+
"rewards/rejected": -2.9187686443328857,
|
310 |
+
"step": 180
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.41,
|
314 |
+
"grad_norm": 141.87377453577582,
|
315 |
+
"learning_rate": 9.681174353198685e-08,
|
316 |
+
"logits/chosen": -2.6703782081604004,
|
317 |
+
"logits/rejected": -2.6757917404174805,
|
318 |
+
"logps/chosen": -82.6243667602539,
|
319 |
+
"logps/rejected": -188.33477783203125,
|
320 |
+
"loss": 0.2942,
|
321 |
+
"rewards/accuracies": 0.8374999761581421,
|
322 |
+
"rewards/chosen": 0.5440769791603088,
|
323 |
+
"rewards/margins": 2.693603515625,
|
324 |
+
"rewards/rejected": -2.149526834487915,
|
325 |
+
"step": 190
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.43,
|
329 |
+
"grad_norm": 222.8132498459904,
|
330 |
+
"learning_rate": 9.612209208833647e-08,
|
331 |
+
"logits/chosen": -2.649033784866333,
|
332 |
+
"logits/rejected": -2.6577847003936768,
|
333 |
+
"logps/chosen": -78.76862335205078,
|
334 |
+
"logps/rejected": -221.69357299804688,
|
335 |
+
"loss": 0.2849,
|
336 |
+
"rewards/accuracies": 0.925000011920929,
|
337 |
+
"rewards/chosen": 0.6831364631652832,
|
338 |
+
"rewards/margins": 3.6835713386535645,
|
339 |
+
"rewards/rejected": -3.000434398651123,
|
340 |
+
"step": 200
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.43,
|
344 |
+
"eval_logits/chosen": -2.5474884510040283,
|
345 |
+
"eval_logits/rejected": -2.5067243576049805,
|
346 |
+
"eval_logps/chosen": -75.19207763671875,
|
347 |
+
"eval_logps/rejected": -220.6973876953125,
|
348 |
+
"eval_loss": 0.2597656548023224,
|
349 |
+
"eval_rewards/accuracies": 0.8815789222717285,
|
350 |
+
"eval_rewards/chosen": 0.7705855369567871,
|
351 |
+
"eval_rewards/margins": 4.492726802825928,
|
352 |
+
"eval_rewards/rejected": -3.7221410274505615,
|
353 |
+
"eval_runtime": 27.7534,
|
354 |
+
"eval_samples_per_second": 10.846,
|
355 |
+
"eval_steps_per_second": 0.685,
|
356 |
+
"step": 200
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.45,
|
360 |
+
"grad_norm": 159.31516163900298,
|
361 |
+
"learning_rate": 9.536793472839323e-08,
|
362 |
+
"logits/chosen": -2.6742613315582275,
|
363 |
+
"logits/rejected": -2.6248650550842285,
|
364 |
+
"logps/chosen": -83.2725830078125,
|
365 |
+
"logps/rejected": -208.2786865234375,
|
366 |
+
"loss": 0.2658,
|
367 |
+
"rewards/accuracies": 0.8999999761581421,
|
368 |
+
"rewards/chosen": 0.7041572332382202,
|
369 |
+
"rewards/margins": 3.5826714038848877,
|
370 |
+
"rewards/rejected": -2.878513813018799,
|
371 |
+
"step": 210
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 0.47,
|
375 |
+
"grad_norm": 179.27000301013558,
|
376 |
+
"learning_rate": 9.455032620941839e-08,
|
377 |
+
"logits/chosen": -2.6498050689697266,
|
378 |
+
"logits/rejected": -2.676229953765869,
|
379 |
+
"logps/chosen": -89.39515686035156,
|
380 |
+
"logps/rejected": -219.5927276611328,
|
381 |
+
"loss": 0.3068,
|
382 |
+
"rewards/accuracies": 0.8687499761581421,
|
383 |
+
"rewards/chosen": 0.4539889395236969,
|
384 |
+
"rewards/margins": 3.6276097297668457,
|
385 |
+
"rewards/rejected": -3.1736209392547607,
|
386 |
+
"step": 220
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.49,
|
390 |
+
"grad_norm": 128.89336085629637,
|
391 |
+
"learning_rate": 9.367041003085648e-08,
|
392 |
+
"logits/chosen": -2.6379408836364746,
|
393 |
+
"logits/rejected": -2.672508716583252,
|
394 |
+
"logps/chosen": -81.60795593261719,
|
395 |
+
"logps/rejected": -219.58493041992188,
|
396 |
+
"loss": 0.247,
|
397 |
+
"rewards/accuracies": 0.8999999761581421,
|
398 |
+
"rewards/chosen": 0.5703738927841187,
|
399 |
+
"rewards/margins": 4.038177013397217,
|
400 |
+
"rewards/rejected": -3.4678032398223877,
|
401 |
+
"step": 230
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.51,
|
405 |
+
"grad_norm": 131.59397339189383,
|
406 |
+
"learning_rate": 9.272941683504808e-08,
|
407 |
+
"logits/chosen": -2.6790764331817627,
|
408 |
+
"logits/rejected": -2.6560444831848145,
|
409 |
+
"logps/chosen": -80.53921508789062,
|
410 |
+
"logps/rejected": -245.55868530273438,
|
411 |
+
"loss": 0.2733,
|
412 |
+
"rewards/accuracies": 0.8999999761581421,
|
413 |
+
"rewards/chosen": 0.6836718320846558,
|
414 |
+
"rewards/margins": 5.092911720275879,
|
415 |
+
"rewards/rejected": -4.409239768981934,
|
416 |
+
"step": 240
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.54,
|
420 |
+
"grad_norm": 172.8756884288556,
|
421 |
+
"learning_rate": 9.172866268606513e-08,
|
422 |
+
"logits/chosen": -2.6560401916503906,
|
423 |
+
"logits/rejected": -2.6558754444122314,
|
424 |
+
"logps/chosen": -83.98664855957031,
|
425 |
+
"logps/rejected": -211.24819946289062,
|
426 |
+
"loss": 0.2742,
|
427 |
+
"rewards/accuracies": 0.862500011920929,
|
428 |
+
"rewards/chosen": 0.5306154489517212,
|
429 |
+
"rewards/margins": 3.6272902488708496,
|
430 |
+
"rewards/rejected": -3.096675157546997,
|
431 |
+
"step": 250
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.56,
|
435 |
+
"grad_norm": 133.84123014944902,
|
436 |
+
"learning_rate": 9.066954722907638e-08,
|
437 |
+
"logits/chosen": -2.6467976570129395,
|
438 |
+
"logits/rejected": -2.6493191719055176,
|
439 |
+
"logps/chosen": -81.35044860839844,
|
440 |
+
"logps/rejected": -215.6734161376953,
|
441 |
+
"loss": 0.2596,
|
442 |
+
"rewards/accuracies": 0.862500011920929,
|
443 |
+
"rewards/chosen": 0.13885298371315002,
|
444 |
+
"rewards/margins": 3.929053783416748,
|
445 |
+
"rewards/rejected": -3.790201187133789,
|
446 |
+
"step": 260
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.58,
|
450 |
+
"grad_norm": 170.45984672890785,
|
451 |
+
"learning_rate": 8.955355173281707e-08,
|
452 |
+
"logits/chosen": -2.6520111560821533,
|
453 |
+
"logits/rejected": -2.662503719329834,
|
454 |
+
"logps/chosen": -92.13319396972656,
|
455 |
+
"logps/rejected": -233.948486328125,
|
456 |
+
"loss": 0.2782,
|
457 |
+
"rewards/accuracies": 0.8999999761581421,
|
458 |
+
"rewards/chosen": 0.021317768841981888,
|
459 |
+
"rewards/margins": 4.14536190032959,
|
460 |
+
"rewards/rejected": -4.124044418334961,
|
461 |
+
"step": 270
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.6,
|
465 |
+
"grad_norm": 229.80467359056394,
|
466 |
+
"learning_rate": 8.838223701790055e-08,
|
467 |
+
"logits/chosen": -2.6390814781188965,
|
468 |
+
"logits/rejected": -2.622087240219116,
|
469 |
+
"logps/chosen": -81.07563781738281,
|
470 |
+
"logps/rejected": -205.11767578125,
|
471 |
+
"loss": 0.2882,
|
472 |
+
"rewards/accuracies": 0.887499988079071,
|
473 |
+
"rewards/chosen": 0.6619526147842407,
|
474 |
+
"rewards/margins": 3.7605528831481934,
|
475 |
+
"rewards/rejected": -3.098600387573242,
|
476 |
+
"step": 280
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.62,
|
480 |
+
"grad_norm": 141.1175297189335,
|
481 |
+
"learning_rate": 8.715724127386971e-08,
|
482 |
+
"logits/chosen": -2.631877899169922,
|
483 |
+
"logits/rejected": -2.6188888549804688,
|
484 |
+
"logps/chosen": -77.27508544921875,
|
485 |
+
"logps/rejected": -202.60848999023438,
|
486 |
+
"loss": 0.2766,
|
487 |
+
"rewards/accuracies": 0.887499988079071,
|
488 |
+
"rewards/chosen": 0.7706214189529419,
|
489 |
+
"rewards/margins": 3.9430625438690186,
|
490 |
+
"rewards/rejected": -3.1724414825439453,
|
491 |
+
"step": 290
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.64,
|
495 |
+
"grad_norm": 128.57223622967007,
|
496 |
+
"learning_rate": 8.588027776804058e-08,
|
497 |
+
"logits/chosen": -2.659540891647339,
|
498 |
+
"logits/rejected": -2.6711039543151855,
|
499 |
+
"logps/chosen": -79.66828918457031,
|
500 |
+
"logps/rejected": -224.89675903320312,
|
501 |
+
"loss": 0.2496,
|
502 |
+
"rewards/accuracies": 0.9312499761581421,
|
503 |
+
"rewards/chosen": 0.8538252711296082,
|
504 |
+
"rewards/margins": 4.59223747253418,
|
505 |
+
"rewards/rejected": -3.7384121417999268,
|
506 |
+
"step": 300
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.64,
|
510 |
+
"eval_logits/chosen": -2.54941725730896,
|
511 |
+
"eval_logits/rejected": -2.507993698120117,
|
512 |
+
"eval_logps/chosen": -73.57530975341797,
|
513 |
+
"eval_logps/rejected": -226.1934356689453,
|
514 |
+
"eval_loss": 0.22951094806194305,
|
515 |
+
"eval_rewards/accuracies": 0.8684210777282715,
|
516 |
+
"eval_rewards/chosen": 0.9322623014450073,
|
517 |
+
"eval_rewards/margins": 5.204004287719727,
|
518 |
+
"eval_rewards/rejected": -4.271742343902588,
|
519 |
+
"eval_runtime": 27.7467,
|
520 |
+
"eval_samples_per_second": 10.848,
|
521 |
+
"eval_steps_per_second": 0.685,
|
522 |
+
"step": 300
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.66,
|
526 |
+
"grad_norm": 124.55913875585814,
|
527 |
+
"learning_rate": 8.455313244934323e-08,
|
528 |
+
"logits/chosen": -2.6776740550994873,
|
529 |
+
"logits/rejected": -2.6694130897521973,
|
530 |
+
"logps/chosen": -77.09771728515625,
|
531 |
+
"logps/rejected": -221.2405548095703,
|
532 |
+
"loss": 0.2385,
|
533 |
+
"rewards/accuracies": 0.887499988079071,
|
534 |
+
"rewards/chosen": 0.8464420437812805,
|
535 |
+
"rewards/margins": 4.465517520904541,
|
536 |
+
"rewards/rejected": -3.619075059890747,
|
537 |
+
"step": 310
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.69,
|
541 |
+
"grad_norm": 126.82250398979915,
|
542 |
+
"learning_rate": 8.317766145051056e-08,
|
543 |
+
"logits/chosen": -2.655475616455078,
|
544 |
+
"logits/rejected": -2.646566867828369,
|
545 |
+
"logps/chosen": -90.94697570800781,
|
546 |
+
"logps/rejected": -239.02603149414062,
|
547 |
+
"loss": 0.2527,
|
548 |
+
"rewards/accuracies": 0.856249988079071,
|
549 |
+
"rewards/chosen": 0.3390585482120514,
|
550 |
+
"rewards/margins": 4.169254302978516,
|
551 |
+
"rewards/rejected": -3.830195903778076,
|
552 |
+
"step": 320
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 0.71,
|
556 |
+
"grad_norm": 128.9818135312364,
|
557 |
+
"learning_rate": 8.175578849210893e-08,
|
558 |
+
"logits/chosen": -2.628675699234009,
|
559 |
+
"logits/rejected": -2.63059401512146,
|
560 |
+
"logps/chosen": -79.80452728271484,
|
561 |
+
"logps/rejected": -214.23886108398438,
|
562 |
+
"loss": 0.2346,
|
563 |
+
"rewards/accuracies": 0.8812500238418579,
|
564 |
+
"rewards/chosen": 0.7122211456298828,
|
565 |
+
"rewards/margins": 4.485437393188477,
|
566 |
+
"rewards/rejected": -3.7732162475585938,
|
567 |
+
"step": 330
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.73,
|
571 |
+
"grad_norm": 170.62278854131603,
|
572 |
+
"learning_rate": 8.0289502192041e-08,
|
573 |
+
"logits/chosen": -2.6830954551696777,
|
574 |
+
"logits/rejected": -2.639918804168701,
|
575 |
+
"logps/chosen": -84.37899780273438,
|
576 |
+
"logps/rejected": -245.4980926513672,
|
577 |
+
"loss": 0.2358,
|
578 |
+
"rewards/accuracies": 0.893750011920929,
|
579 |
+
"rewards/chosen": 0.7535432577133179,
|
580 |
+
"rewards/margins": 4.955996990203857,
|
581 |
+
"rewards/rejected": -4.20245361328125,
|
582 |
+
"step": 340
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 0.75,
|
586 |
+
"grad_norm": 208.2810878095979,
|
587 |
+
"learning_rate": 7.878085328428368e-08,
|
588 |
+
"logits/chosen": -2.6215579509735107,
|
589 |
+
"logits/rejected": -2.6440749168395996,
|
590 |
+
"logps/chosen": -88.97381591796875,
|
591 |
+
"logps/rejected": -217.13919067382812,
|
592 |
+
"loss": 0.239,
|
593 |
+
"rewards/accuracies": 0.84375,
|
594 |
+
"rewards/chosen": 0.4338725507259369,
|
595 |
+
"rewards/margins": 3.943838596343994,
|
596 |
+
"rewards/rejected": -3.5099663734436035,
|
597 |
+
"step": 350
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.77,
|
601 |
+
"grad_norm": 129.5194204672045,
|
602 |
+
"learning_rate": 7.723195175075135e-08,
|
603 |
+
"logits/chosen": -2.633841037750244,
|
604 |
+
"logits/rejected": -2.6651291847229004,
|
605 |
+
"logps/chosen": -85.39970397949219,
|
606 |
+
"logps/rejected": -230.7396240234375,
|
607 |
+
"loss": 0.2339,
|
608 |
+
"rewards/accuracies": 0.925000011920929,
|
609 |
+
"rewards/chosen": 0.3009163737297058,
|
610 |
+
"rewards/margins": 4.652897357940674,
|
611 |
+
"rewards/rejected": -4.351980686187744,
|
612 |
+
"step": 360
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.79,
|
616 |
+
"grad_norm": 164.1373245285756,
|
617 |
+
"learning_rate": 7.56449638702953e-08,
|
618 |
+
"logits/chosen": -2.614220142364502,
|
619 |
+
"logits/rejected": -2.6127521991729736,
|
620 |
+
"logps/chosen": -81.96704864501953,
|
621 |
+
"logps/rejected": -249.83847045898438,
|
622 |
+
"loss": 0.2353,
|
623 |
+
"rewards/accuracies": 0.893750011920929,
|
624 |
+
"rewards/chosen": 0.21380162239074707,
|
625 |
+
"rewards/margins": 4.993688106536865,
|
626 |
+
"rewards/rejected": -4.779886245727539,
|
627 |
+
"step": 370
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.81,
|
631 |
+
"grad_norm": 145.70422295065282,
|
632 |
+
"learning_rate": 7.402210918896688e-08,
|
633 |
+
"logits/chosen": -2.6128079891204834,
|
634 |
+
"logits/rejected": -2.6537294387817383,
|
635 |
+
"logps/chosen": -92.5042953491211,
|
636 |
+
"logps/rejected": -237.99649047851562,
|
637 |
+
"loss": 0.2447,
|
638 |
+
"rewards/accuracies": 0.9125000238418579,
|
639 |
+
"rewards/chosen": -0.36580491065979004,
|
640 |
+
"rewards/margins": 4.624101638793945,
|
641 |
+
"rewards/rejected": -4.9899067878723145,
|
642 |
+
"step": 380
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 0.83,
|
646 |
+
"grad_norm": 187.73130049718608,
|
647 |
+
"learning_rate": 7.236565741578162e-08,
|
648 |
+
"logits/chosen": -2.6431612968444824,
|
649 |
+
"logits/rejected": -2.640349864959717,
|
650 |
+
"logps/chosen": -100.9793472290039,
|
651 |
+
"logps/rejected": -250.1385498046875,
|
652 |
+
"loss": 0.2144,
|
653 |
+
"rewards/accuracies": 0.856249988079071,
|
654 |
+
"rewards/chosen": -0.3357706665992737,
|
655 |
+
"rewards/margins": 4.967101097106934,
|
656 |
+
"rewards/rejected": -5.3028717041015625,
|
657 |
+
"step": 390
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.86,
|
661 |
+
"grad_norm": 149.7762972401691,
|
662 |
+
"learning_rate": 7.067792524832604e-08,
|
663 |
+
"logits/chosen": -2.6969475746154785,
|
664 |
+
"logits/rejected": -2.7058839797973633,
|
665 |
+
"logps/chosen": -87.51020812988281,
|
666 |
+
"logps/rejected": -230.3865966796875,
|
667 |
+
"loss": 0.2331,
|
668 |
+
"rewards/accuracies": 0.9125000238418579,
|
669 |
+
"rewards/chosen": 0.4354115426540375,
|
670 |
+
"rewards/margins": 4.516859531402588,
|
671 |
+
"rewards/rejected": -4.081448554992676,
|
672 |
+
"step": 400
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 0.86,
|
676 |
+
"eval_logits/chosen": -2.538165807723999,
|
677 |
+
"eval_logits/rejected": -2.4967117309570312,
|
678 |
+
"eval_logps/chosen": -75.02692413330078,
|
679 |
+
"eval_logps/rejected": -232.38836669921875,
|
680 |
+
"eval_loss": 0.2088860273361206,
|
681 |
+
"eval_rewards/accuracies": 0.8684210777282715,
|
682 |
+
"eval_rewards/chosen": 0.7871010899543762,
|
683 |
+
"eval_rewards/margins": 5.678337574005127,
|
684 |
+
"eval_rewards/rejected": -4.891236782073975,
|
685 |
+
"eval_runtime": 27.7296,
|
686 |
+
"eval_samples_per_second": 10.855,
|
687 |
+
"eval_steps_per_second": 0.685,
|
688 |
+
"step": 400
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.88,
|
692 |
+
"grad_norm": 156.8019073660933,
|
693 |
+
"learning_rate": 6.896127313264642e-08,
|
694 |
+
"logits/chosen": -2.64673113822937,
|
695 |
+
"logits/rejected": -2.7038655281066895,
|
696 |
+
"logps/chosen": -80.8321533203125,
|
697 |
+
"logps/rejected": -215.33200073242188,
|
698 |
+
"loss": 0.2199,
|
699 |
+
"rewards/accuracies": 0.8999999761581421,
|
700 |
+
"rewards/chosen": 0.6177021861076355,
|
701 |
+
"rewards/margins": 4.641745090484619,
|
702 |
+
"rewards/rejected": -4.02404260635376,
|
703 |
+
"step": 410
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.9,
|
707 |
+
"grad_norm": 159.07138805831667,
|
708 |
+
"learning_rate": 6.721810196195174e-08,
|
709 |
+
"logits/chosen": -2.6594576835632324,
|
710 |
+
"logits/rejected": -2.6509957313537598,
|
711 |
+
"logps/chosen": -85.29691314697266,
|
712 |
+
"logps/rejected": -228.0242156982422,
|
713 |
+
"loss": 0.2228,
|
714 |
+
"rewards/accuracies": 0.9125000238418579,
|
715 |
+
"rewards/chosen": 0.5911294221878052,
|
716 |
+
"rewards/margins": 4.615528583526611,
|
717 |
+
"rewards/rejected": -4.024399280548096,
|
718 |
+
"step": 420
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.92,
|
722 |
+
"grad_norm": 168.14810806211554,
|
723 |
+
"learning_rate": 6.545084971874738e-08,
|
724 |
+
"logits/chosen": -2.6609866619110107,
|
725 |
+
"logits/rejected": -2.6674180030822754,
|
726 |
+
"logps/chosen": -82.54444885253906,
|
727 |
+
"logps/rejected": -218.54458618164062,
|
728 |
+
"loss": 0.242,
|
729 |
+
"rewards/accuracies": 0.90625,
|
730 |
+
"rewards/chosen": 0.23233623802661896,
|
731 |
+
"rewards/margins": 4.690705299377441,
|
732 |
+
"rewards/rejected": -4.458369255065918,
|
733 |
+
"step": 430
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 0.94,
|
737 |
+
"grad_norm": 168.9123818369519,
|
738 |
+
"learning_rate": 6.3661988065096e-08,
|
739 |
+
"logits/chosen": -2.653125286102295,
|
740 |
+
"logits/rejected": -2.6496918201446533,
|
741 |
+
"logps/chosen": -90.27217102050781,
|
742 |
+
"logps/rejected": -240.4198455810547,
|
743 |
+
"loss": 0.2216,
|
744 |
+
"rewards/accuracies": 0.918749988079071,
|
745 |
+
"rewards/chosen": 0.1593785583972931,
|
746 |
+
"rewards/margins": 4.545279502868652,
|
747 |
+
"rewards/rejected": -4.38590145111084,
|
748 |
+
"step": 440
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 0.96,
|
752 |
+
"grad_norm": 148.89537306570088,
|
753 |
+
"learning_rate": 6.185401888577488e-08,
|
754 |
+
"logits/chosen": -2.658726930618286,
|
755 |
+
"logits/rejected": -2.6689276695251465,
|
756 |
+
"logps/chosen": -80.66201782226562,
|
757 |
+
"logps/rejected": -221.6832733154297,
|
758 |
+
"loss": 0.2592,
|
759 |
+
"rewards/accuracies": 0.8500000238418579,
|
760 |
+
"rewards/chosen": 0.2890837788581848,
|
761 |
+
"rewards/margins": 4.448688507080078,
|
762 |
+
"rewards/rejected": -4.159604549407959,
|
763 |
+
"step": 450
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 0.98,
|
767 |
+
"grad_norm": 149.76478012255194,
|
768 |
+
"learning_rate": 6.002947078916364e-08,
|
769 |
+
"logits/chosen": -2.590343713760376,
|
770 |
+
"logits/rejected": -2.6157240867614746,
|
771 |
+
"logps/chosen": -88.16920471191406,
|
772 |
+
"logps/rejected": -197.1310577392578,
|
773 |
+
"loss": 0.2411,
|
774 |
+
"rewards/accuracies": 0.875,
|
775 |
+
"rewards/chosen": -0.010756964795291424,
|
776 |
+
"rewards/margins": 3.987351179122925,
|
777 |
+
"rewards/rejected": -3.998108386993408,
|
778 |
+
"step": 460
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 1.01,
|
782 |
+
"grad_norm": 69.73653024843325,
|
783 |
+
"learning_rate": 5.8190895570756884e-08,
|
784 |
+
"logits/chosen": -2.6571004390716553,
|
785 |
+
"logits/rejected": -2.6537766456604004,
|
786 |
+
"logps/chosen": -91.45221710205078,
|
787 |
+
"logps/rejected": -221.7407684326172,
|
788 |
+
"loss": 0.1735,
|
789 |
+
"rewards/accuracies": 0.8999999761581421,
|
790 |
+
"rewards/chosen": 0.4764205813407898,
|
791 |
+
"rewards/margins": 5.178285121917725,
|
792 |
+
"rewards/rejected": -4.701864242553711,
|
793 |
+
"step": 470
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.03,
|
797 |
+
"grad_norm": 74.69175649941268,
|
798 |
+
"learning_rate": 5.634086464424742e-08,
|
799 |
+
"logits/chosen": -2.629711866378784,
|
800 |
+
"logits/rejected": -2.628819227218628,
|
801 |
+
"logps/chosen": -81.51197052001953,
|
802 |
+
"logps/rejected": -247.3602294921875,
|
803 |
+
"loss": 0.1179,
|
804 |
+
"rewards/accuracies": 0.9937499761581421,
|
805 |
+
"rewards/chosen": 0.6573706865310669,
|
806 |
+
"rewards/margins": 5.840112209320068,
|
807 |
+
"rewards/rejected": -5.182741641998291,
|
808 |
+
"step": 480
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 1.05,
|
812 |
+
"grad_norm": 81.17366180243518,
|
813 |
+
"learning_rate": 5.4481965445171675e-08,
|
814 |
+
"logits/chosen": -2.6255042552948,
|
815 |
+
"logits/rejected": -2.6369516849517822,
|
816 |
+
"logps/chosen": -92.74832153320312,
|
817 |
+
"logps/rejected": -253.36770629882812,
|
818 |
+
"loss": 0.1127,
|
819 |
+
"rewards/accuracies": 0.987500011920929,
|
820 |
+
"rewards/chosen": 0.6330462098121643,
|
821 |
+
"rewards/margins": 5.925755500793457,
|
822 |
+
"rewards/rejected": -5.2927093505859375,
|
823 |
+
"step": 490
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 1.07,
|
827 |
+
"grad_norm": 42.75765323253819,
|
828 |
+
"learning_rate": 5.261679781214719e-08,
|
829 |
+
"logits/chosen": -2.615849018096924,
|
830 |
+
"logits/rejected": -2.583253860473633,
|
831 |
+
"logps/chosen": -81.4043197631836,
|
832 |
+
"logps/rejected": -224.62063598632812,
|
833 |
+
"loss": 0.0874,
|
834 |
+
"rewards/accuracies": 0.987500011920929,
|
835 |
+
"rewards/chosen": 0.7663254737854004,
|
836 |
+
"rewards/margins": 5.37575101852417,
|
837 |
+
"rewards/rejected": -4.6094255447387695,
|
838 |
+
"step": 500
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 1.07,
|
842 |
+
"eval_logits/chosen": -2.476076364517212,
|
843 |
+
"eval_logits/rejected": -2.4322872161865234,
|
844 |
+
"eval_logps/chosen": -76.55270385742188,
|
845 |
+
"eval_logps/rejected": -240.9202117919922,
|
846 |
+
"eval_loss": 0.1871984452009201,
|
847 |
+
"eval_rewards/accuracies": 0.8815789222717285,
|
848 |
+
"eval_rewards/chosen": 0.6345227956771851,
|
849 |
+
"eval_rewards/margins": 6.378945350646973,
|
850 |
+
"eval_rewards/rejected": -5.744422435760498,
|
851 |
+
"eval_runtime": 27.7245,
|
852 |
+
"eval_samples_per_second": 10.857,
|
853 |
+
"eval_steps_per_second": 0.685,
|
854 |
+
"step": 500
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 1.09,
|
858 |
+
"grad_norm": 80.40588664774708,
|
859 |
+
"learning_rate": 5.074797035076318e-08,
|
860 |
+
"logits/chosen": -2.600032091140747,
|
861 |
+
"logits/rejected": -2.6238975524902344,
|
862 |
+
"logps/chosen": -80.40613555908203,
|
863 |
+
"logps/rejected": -222.7124786376953,
|
864 |
+
"loss": 0.1237,
|
865 |
+
"rewards/accuracies": 0.9750000238418579,
|
866 |
+
"rewards/chosen": 0.6139314770698547,
|
867 |
+
"rewards/margins": 5.547031402587891,
|
868 |
+
"rewards/rejected": -4.93310022354126,
|
869 |
+
"step": 510
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 1.11,
|
873 |
+
"grad_norm": 144.58586359448068,
|
874 |
+
"learning_rate": 4.887809678520975e-08,
|
875 |
+
"logits/chosen": -2.5908000469207764,
|
876 |
+
"logits/rejected": -2.598961114883423,
|
877 |
+
"logps/chosen": -84.61862182617188,
|
878 |
+
"logps/rejected": -278.3133239746094,
|
879 |
+
"loss": 0.1324,
|
880 |
+
"rewards/accuracies": 0.9750000238418579,
|
881 |
+
"rewards/chosen": 0.5282140970230103,
|
882 |
+
"rewards/margins": 6.792176723480225,
|
883 |
+
"rewards/rejected": -6.263962745666504,
|
884 |
+
"step": 520
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.13,
|
888 |
+
"grad_norm": 93.29727808293761,
|
889 |
+
"learning_rate": 4.7009792302748285e-08,
|
890 |
+
"logits/chosen": -2.5732998847961426,
|
891 |
+
"logits/rejected": -2.5646510124206543,
|
892 |
+
"logps/chosen": -93.49433898925781,
|
893 |
+
"logps/rejected": -266.72454833984375,
|
894 |
+
"loss": 0.1078,
|
895 |
+
"rewards/accuracies": 0.9624999761581421,
|
896 |
+
"rewards/chosen": 0.5050237774848938,
|
897 |
+
"rewards/margins": 6.757340908050537,
|
898 |
+
"rewards/rejected": -6.252317428588867,
|
899 |
+
"step": 530
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 1.16,
|
903 |
+
"grad_norm": 100.11556094998792,
|
904 |
+
"learning_rate": 4.514566989613559e-08,
|
905 |
+
"logits/chosen": -2.5525121688842773,
|
906 |
+
"logits/rejected": -2.5795490741729736,
|
907 |
+
"logps/chosen": -82.06108856201172,
|
908 |
+
"logps/rejected": -232.47549438476562,
|
909 |
+
"loss": 0.0966,
|
910 |
+
"rewards/accuracies": 0.9750000238418579,
|
911 |
+
"rewards/chosen": 0.49808913469314575,
|
912 |
+
"rewards/margins": 5.77323579788208,
|
913 |
+
"rewards/rejected": -5.275146484375,
|
914 |
+
"step": 540
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.18,
|
918 |
+
"grad_norm": 42.560167765291645,
|
919 |
+
"learning_rate": 4.328833670911724e-08,
|
920 |
+
"logits/chosen": -2.6239736080169678,
|
921 |
+
"logits/rejected": -2.5731518268585205,
|
922 |
+
"logps/chosen": -87.47773742675781,
|
923 |
+
"logps/rejected": -260.68145751953125,
|
924 |
+
"loss": 0.1202,
|
925 |
+
"rewards/accuracies": 0.96875,
|
926 |
+
"rewards/chosen": 0.3656201958656311,
|
927 |
+
"rewards/margins": 6.3458123207092285,
|
928 |
+
"rewards/rejected": -5.980191707611084,
|
929 |
+
"step": 550
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 1.2,
|
933 |
+
"grad_norm": 93.5777273080985,
|
934 |
+
"learning_rate": 4.144039039010124e-08,
|
935 |
+
"logits/chosen": -2.5428924560546875,
|
936 |
+
"logits/rejected": -2.573913097381592,
|
937 |
+
"logps/chosen": -83.42646789550781,
|
938 |
+
"logps/rejected": -236.0640106201172,
|
939 |
+
"loss": 0.1036,
|
940 |
+
"rewards/accuracies": 0.9375,
|
941 |
+
"rewards/chosen": 0.4360501170158386,
|
942 |
+
"rewards/margins": 5.618575096130371,
|
943 |
+
"rewards/rejected": -5.182524681091309,
|
944 |
+
"step": 560
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 1.22,
|
948 |
+
"grad_norm": 131.2737748435812,
|
949 |
+
"learning_rate": 3.960441545911204e-08,
|
950 |
+
"logits/chosen": -2.494786024093628,
|
951 |
+
"logits/rejected": -2.546558380126953,
|
952 |
+
"logps/chosen": -83.13180541992188,
|
953 |
+
"logps/rejected": -227.36331176757812,
|
954 |
+
"loss": 0.0986,
|
955 |
+
"rewards/accuracies": 0.96875,
|
956 |
+
"rewards/chosen": 0.48235464096069336,
|
957 |
+
"rewards/margins": 5.769989013671875,
|
958 |
+
"rewards/rejected": -5.28763484954834,
|
959 |
+
"step": 570
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 1.24,
|
963 |
+
"grad_norm": 111.6736032390892,
|
964 |
+
"learning_rate": 3.778297969310529e-08,
|
965 |
+
"logits/chosen": -2.5785977840423584,
|
966 |
+
"logits/rejected": -2.6077938079833984,
|
967 |
+
"logps/chosen": -99.91156768798828,
|
968 |
+
"logps/rejected": -274.0140075683594,
|
969 |
+
"loss": 0.1194,
|
970 |
+
"rewards/accuracies": 0.96875,
|
971 |
+
"rewards/chosen": 0.2391074150800705,
|
972 |
+
"rewards/margins": 6.7299485206604,
|
973 |
+
"rewards/rejected": -6.490840911865234,
|
974 |
+
"step": 580
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.26,
|
978 |
+
"grad_norm": 85.48495941913924,
|
979 |
+
"learning_rate": 3.5978630534699866e-08,
|
980 |
+
"logits/chosen": -2.5449576377868652,
|
981 |
+
"logits/rejected": -2.5609145164489746,
|
982 |
+
"logps/chosen": -79.68949127197266,
|
983 |
+
"logps/rejected": -262.533203125,
|
984 |
+
"loss": 0.1049,
|
985 |
+
"rewards/accuracies": 0.9750000238418579,
|
986 |
+
"rewards/chosen": 0.3723651170730591,
|
987 |
+
"rewards/margins": 6.530053615570068,
|
988 |
+
"rewards/rejected": -6.157688617706299,
|
989 |
+
"step": 590
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 1.28,
|
993 |
+
"grad_norm": 113.71617513097341,
|
994 |
+
"learning_rate": 3.41938915293488e-08,
|
995 |
+
"logits/chosen": -2.5033059120178223,
|
996 |
+
"logits/rejected": -2.535037040710449,
|
997 |
+
"logps/chosen": -72.401123046875,
|
998 |
+
"logps/rejected": -242.56362915039062,
|
999 |
+
"loss": 0.1217,
|
1000 |
+
"rewards/accuracies": 0.9750000238418579,
|
1001 |
+
"rewards/chosen": 0.5488067865371704,
|
1002 |
+
"rewards/margins": 6.211435794830322,
|
1003 |
+
"rewards/rejected": -5.662629127502441,
|
1004 |
+
"step": 600
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 1.28,
|
1008 |
+
"eval_logits/chosen": -2.417189359664917,
|
1009 |
+
"eval_logits/rejected": -2.374096632003784,
|
1010 |
+
"eval_logps/chosen": -80.61611938476562,
|
1011 |
+
"eval_logps/rejected": -250.38265991210938,
|
1012 |
+
"eval_loss": 0.1832417994737625,
|
1013 |
+
"eval_rewards/accuracies": 0.8684210777282715,
|
1014 |
+
"eval_rewards/chosen": 0.22818052768707275,
|
1015 |
+
"eval_rewards/margins": 6.918849945068359,
|
1016 |
+
"eval_rewards/rejected": -6.690669536590576,
|
1017 |
+
"eval_runtime": 27.7688,
|
1018 |
+
"eval_samples_per_second": 10.84,
|
1019 |
+
"eval_steps_per_second": 0.684,
|
1020 |
+
"step": 600
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 1.31,
|
1024 |
+
"grad_norm": 72.12098063143571,
|
1025 |
+
"learning_rate": 3.2431258795932856e-08,
|
1026 |
+
"logits/chosen": -2.5755138397216797,
|
1027 |
+
"logits/rejected": -2.567202568054199,
|
1028 |
+
"logps/chosen": -85.8843002319336,
|
1029 |
+
"logps/rejected": -263.94622802734375,
|
1030 |
+
"loss": 0.0791,
|
1031 |
+
"rewards/accuracies": 0.987500011920929,
|
1032 |
+
"rewards/chosen": 0.24374854564666748,
|
1033 |
+
"rewards/margins": 6.808441162109375,
|
1034 |
+
"rewards/rejected": -6.564692497253418,
|
1035 |
+
"step": 610
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 1.33,
|
1039 |
+
"grad_norm": 84.30497343810121,
|
1040 |
+
"learning_rate": 3.0693197535712687e-08,
|
1041 |
+
"logits/chosen": -2.556939125061035,
|
1042 |
+
"logits/rejected": -2.553295373916626,
|
1043 |
+
"logps/chosen": -93.59156036376953,
|
1044 |
+
"logps/rejected": -255.7102813720703,
|
1045 |
+
"loss": 0.104,
|
1046 |
+
"rewards/accuracies": 0.9750000238418579,
|
1047 |
+
"rewards/chosen": -0.050883639603853226,
|
1048 |
+
"rewards/margins": 6.550814628601074,
|
1049 |
+
"rewards/rejected": -6.601698398590088,
|
1050 |
+
"step": 620
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 1.35,
|
1054 |
+
"grad_norm": 97.92510560815347,
|
1055 |
+
"learning_rate": 2.8982138584521732e-08,
|
1056 |
+
"logits/chosen": -2.523881435394287,
|
1057 |
+
"logits/rejected": -2.5281319618225098,
|
1058 |
+
"logps/chosen": -87.27870178222656,
|
1059 |
+
"logps/rejected": -281.7742919921875,
|
1060 |
+
"loss": 0.0988,
|
1061 |
+
"rewards/accuracies": 0.96875,
|
1062 |
+
"rewards/chosen": 0.02099490724503994,
|
1063 |
+
"rewards/margins": 6.995011329650879,
|
1064 |
+
"rewards/rejected": -6.974015712738037,
|
1065 |
+
"step": 630
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 1.37,
|
1069 |
+
"grad_norm": 144.6029547590291,
|
1070 |
+
"learning_rate": 2.730047501302266e-08,
|
1071 |
+
"logits/chosen": -2.511509656906128,
|
1072 |
+
"logits/rejected": -2.491812229156494,
|
1073 |
+
"logps/chosen": -80.01902770996094,
|
1074 |
+
"logps/rejected": -249.27377319335938,
|
1075 |
+
"loss": 0.1017,
|
1076 |
+
"rewards/accuracies": 0.9750000238418579,
|
1077 |
+
"rewards/chosen": 0.18679390847682953,
|
1078 |
+
"rewards/margins": 6.189632415771484,
|
1079 |
+
"rewards/rejected": -6.002839088439941,
|
1080 |
+
"step": 640
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 1.39,
|
1084 |
+
"grad_norm": 51.26390219844907,
|
1085 |
+
"learning_rate": 2.5650558779781632e-08,
|
1086 |
+
"logits/chosen": -2.468006134033203,
|
1087 |
+
"logits/rejected": -2.5272440910339355,
|
1088 |
+
"logps/chosen": -92.99039459228516,
|
1089 |
+
"logps/rejected": -263.6413269042969,
|
1090 |
+
"loss": 0.1057,
|
1091 |
+
"rewards/accuracies": 0.96875,
|
1092 |
+
"rewards/chosen": 0.007961297407746315,
|
1093 |
+
"rewards/margins": 6.804115295410156,
|
1094 |
+
"rewards/rejected": -6.7961530685424805,
|
1095 |
+
"step": 650
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 1.41,
|
1099 |
+
"grad_norm": 74.26596525719256,
|
1100 |
+
"learning_rate": 2.403469744184154e-08,
|
1101 |
+
"logits/chosen": -2.4938857555389404,
|
1102 |
+
"logits/rejected": -2.4678053855895996,
|
1103 |
+
"logps/chosen": -83.55183410644531,
|
1104 |
+
"logps/rejected": -240.530517578125,
|
1105 |
+
"loss": 0.0828,
|
1106 |
+
"rewards/accuracies": 0.987500011920929,
|
1107 |
+
"rewards/chosen": 0.22306349873542786,
|
1108 |
+
"rewards/margins": 7.2999396324157715,
|
1109 |
+
"rewards/rejected": -7.076876640319824,
|
1110 |
+
"step": 660
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 1.43,
|
1114 |
+
"grad_norm": 67.9457822191306,
|
1115 |
+
"learning_rate": 2.2455150927394877e-08,
|
1116 |
+
"logits/chosen": -2.5248875617980957,
|
1117 |
+
"logits/rejected": -2.524660587310791,
|
1118 |
+
"logps/chosen": -91.45790100097656,
|
1119 |
+
"logps/rejected": -274.40240478515625,
|
1120 |
+
"loss": 0.1147,
|
1121 |
+
"rewards/accuracies": 0.956250011920929,
|
1122 |
+
"rewards/chosen": -0.18505340814590454,
|
1123 |
+
"rewards/margins": 6.406013488769531,
|
1124 |
+
"rewards/rejected": -6.591066837310791,
|
1125 |
+
"step": 670
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 1.46,
|
1129 |
+
"grad_norm": 93.08918649012821,
|
1130 |
+
"learning_rate": 2.0914128375069722e-08,
|
1131 |
+
"logits/chosen": -2.503322124481201,
|
1132 |
+
"logits/rejected": -2.5299384593963623,
|
1133 |
+
"logps/chosen": -87.551025390625,
|
1134 |
+
"logps/rejected": -258.9871520996094,
|
1135 |
+
"loss": 0.0997,
|
1136 |
+
"rewards/accuracies": 0.96875,
|
1137 |
+
"rewards/chosen": 0.09187181293964386,
|
1138 |
+
"rewards/margins": 6.872333526611328,
|
1139 |
+
"rewards/rejected": -6.78046178817749,
|
1140 |
+
"step": 680
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 1.48,
|
1144 |
+
"grad_norm": 47.52507218664577,
|
1145 |
+
"learning_rate": 1.9413785044249675e-08,
|
1146 |
+
"logits/chosen": -2.4908030033111572,
|
1147 |
+
"logits/rejected": -2.4941422939300537,
|
1148 |
+
"logps/chosen": -92.09065246582031,
|
1149 |
+
"logps/rejected": -250.3391876220703,
|
1150 |
+
"loss": 0.0975,
|
1151 |
+
"rewards/accuracies": 0.987500011920929,
|
1152 |
+
"rewards/chosen": 0.06340374052524567,
|
1153 |
+
"rewards/margins": 6.6621413230896,
|
1154 |
+
"rewards/rejected": -6.598738193511963,
|
1155 |
+
"step": 690
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 1.5,
|
1159 |
+
"grad_norm": 165.96896499860316,
|
1160 |
+
"learning_rate": 1.795621930074879e-08,
|
1161 |
+
"logits/chosen": -2.4552981853485107,
|
1162 |
+
"logits/rejected": -2.4628846645355225,
|
1163 |
+
"logps/chosen": -87.13786315917969,
|
1164 |
+
"logps/rejected": -213.85501098632812,
|
1165 |
+
"loss": 0.0966,
|
1166 |
+
"rewards/accuracies": 0.9750000238418579,
|
1167 |
+
"rewards/chosen": 0.18398265540599823,
|
1168 |
+
"rewards/margins": 5.881737232208252,
|
1169 |
+
"rewards/rejected": -5.697754383087158,
|
1170 |
+
"step": 700
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 1.5,
|
1174 |
+
"eval_logits/chosen": -2.393958330154419,
|
1175 |
+
"eval_logits/rejected": -2.3503360748291016,
|
1176 |
+
"eval_logps/chosen": -81.04850006103516,
|
1177 |
+
"eval_logps/rejected": -253.6011962890625,
|
1178 |
+
"eval_loss": 0.18069878220558167,
|
1179 |
+
"eval_rewards/accuracies": 0.8815789222717285,
|
1180 |
+
"eval_rewards/chosen": 0.18494324386119843,
|
1181 |
+
"eval_rewards/margins": 7.197464942932129,
|
1182 |
+
"eval_rewards/rejected": -7.012521743774414,
|
1183 |
+
"eval_runtime": 27.7257,
|
1184 |
+
"eval_samples_per_second": 10.856,
|
1185 |
+
"eval_steps_per_second": 0.685,
|
1186 |
+
"step": 700
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 1.52,
|
1190 |
+
"grad_norm": 159.91079268011805,
|
1191 |
+
"learning_rate": 1.6543469682057103e-08,
|
1192 |
+
"logits/chosen": -2.5185043811798096,
|
1193 |
+
"logits/rejected": -2.4764022827148438,
|
1194 |
+
"logps/chosen": -84.46337890625,
|
1195 |
+
"logps/rejected": -264.3829345703125,
|
1196 |
+
"loss": 0.0926,
|
1197 |
+
"rewards/accuracies": 0.96875,
|
1198 |
+
"rewards/chosen": 0.18679778277873993,
|
1199 |
+
"rewards/margins": 7.148007392883301,
|
1200 |
+
"rewards/rejected": -6.961209297180176,
|
1201 |
+
"step": 710
|
1202 |
+
},
|
1203 |
+
{
|
1204 |
+
"epoch": 1.54,
|
1205 |
+
"grad_norm": 48.047361074216745,
|
1206 |
+
"learning_rate": 1.5177512046261666e-08,
|
1207 |
+
"logits/chosen": -2.484215259552002,
|
1208 |
+
"logits/rejected": -2.507033109664917,
|
1209 |
+
"logps/chosen": -84.62954711914062,
|
1210 |
+
"logps/rejected": -256.36737060546875,
|
1211 |
+
"loss": 0.0983,
|
1212 |
+
"rewards/accuracies": 0.9750000238418579,
|
1213 |
+
"rewards/chosen": 0.39748048782348633,
|
1214 |
+
"rewards/margins": 7.362854957580566,
|
1215 |
+
"rewards/rejected": -6.965374946594238,
|
1216 |
+
"step": 720
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 1.56,
|
1220 |
+
"grad_norm": 112.9192400527363,
|
1221 |
+
"learning_rate": 1.3860256808630427e-08,
|
1222 |
+
"logits/chosen": -2.555844783782959,
|
1223 |
+
"logits/rejected": -2.478036403656006,
|
1224 |
+
"logps/chosen": -88.8625259399414,
|
1225 |
+
"logps/rejected": -237.5943145751953,
|
1226 |
+
"loss": 0.107,
|
1227 |
+
"rewards/accuracies": 0.9750000238418579,
|
1228 |
+
"rewards/chosen": 0.22078856825828552,
|
1229 |
+
"rewards/margins": 6.411069393157959,
|
1230 |
+
"rewards/rejected": -6.190280914306641,
|
1231 |
+
"step": 730
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 1.58,
|
1235 |
+
"grad_norm": 80.75197492702765,
|
1236 |
+
"learning_rate": 1.2593546269723649e-08,
|
1237 |
+
"logits/chosen": -2.4870190620422363,
|
1238 |
+
"logits/rejected": -2.470374584197998,
|
1239 |
+
"logps/chosen": -87.91392517089844,
|
1240 |
+
"logps/rejected": -268.05450439453125,
|
1241 |
+
"loss": 0.103,
|
1242 |
+
"rewards/accuracies": 0.9624999761581421,
|
1243 |
+
"rewards/chosen": 0.023371051996946335,
|
1244 |
+
"rewards/margins": 7.2978057861328125,
|
1245 |
+
"rewards/rejected": -7.274435520172119,
|
1246 |
+
"step": 740
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 1.61,
|
1250 |
+
"grad_norm": 108.88349531511021,
|
1251 |
+
"learning_rate": 1.1379152038770029e-08,
|
1252 |
+
"logits/chosen": -2.498399019241333,
|
1253 |
+
"logits/rejected": -2.522373676300049,
|
1254 |
+
"logps/chosen": -79.47743225097656,
|
1255 |
+
"logps/rejected": -267.198486328125,
|
1256 |
+
"loss": 0.1003,
|
1257 |
+
"rewards/accuracies": 0.9624999761581421,
|
1258 |
+
"rewards/chosen": 0.3667542338371277,
|
1259 |
+
"rewards/margins": 7.25054931640625,
|
1260 |
+
"rewards/rejected": -6.883795261383057,
|
1261 |
+
"step": 750
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 1.63,
|
1265 |
+
"grad_norm": 106.04443890243027,
|
1266 |
+
"learning_rate": 1.0218772555910953e-08,
|
1267 |
+
"logits/chosen": -2.49924898147583,
|
1268 |
+
"logits/rejected": -2.533095121383667,
|
1269 |
+
"logps/chosen": -88.90888977050781,
|
1270 |
+
"logps/rejected": -216.93911743164062,
|
1271 |
+
"loss": 0.1093,
|
1272 |
+
"rewards/accuracies": 0.949999988079071,
|
1273 |
+
"rewards/chosen": 0.10971729457378387,
|
1274 |
+
"rewards/margins": 5.331303596496582,
|
1275 |
+
"rewards/rejected": -5.221585750579834,
|
1276 |
+
"step": 760
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 1.65,
|
1280 |
+
"grad_norm": 119.24007089314645,
|
1281 |
+
"learning_rate": 9.114030716778432e-09,
|
1282 |
+
"logits/chosen": -2.522010087966919,
|
1283 |
+
"logits/rejected": -2.510510206222534,
|
1284 |
+
"logps/chosen": -85.21174621582031,
|
1285 |
+
"logps/rejected": -258.8554992675781,
|
1286 |
+
"loss": 0.0854,
|
1287 |
+
"rewards/accuracies": 0.981249988079071,
|
1288 |
+
"rewards/chosen": 0.3466641306877136,
|
1289 |
+
"rewards/margins": 7.279857635498047,
|
1290 |
+
"rewards/rejected": -6.933194160461426,
|
1291 |
+
"step": 770
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 1.67,
|
1295 |
+
"grad_norm": 134.5502526352079,
|
1296 |
+
"learning_rate": 8.066471602728803e-09,
|
1297 |
+
"logits/chosen": -2.4917855262756348,
|
1298 |
+
"logits/rejected": -2.505199670791626,
|
1299 |
+
"logps/chosen": -90.26045989990234,
|
1300 |
+
"logps/rejected": -252.13491821289062,
|
1301 |
+
"loss": 0.085,
|
1302 |
+
"rewards/accuracies": 0.956250011920929,
|
1303 |
+
"rewards/chosen": 0.11037313938140869,
|
1304 |
+
"rewards/margins": 6.754474639892578,
|
1305 |
+
"rewards/rejected": -6.644102573394775,
|
1306 |
+
"step": 780
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 1.69,
|
1310 |
+
"grad_norm": 70.79957881261483,
|
1311 |
+
"learning_rate": 7.077560319906695e-09,
|
1312 |
+
"logits/chosen": -2.4431352615356445,
|
1313 |
+
"logits/rejected": -2.495988368988037,
|
1314 |
+
"logps/chosen": -79.27693176269531,
|
1315 |
+
"logps/rejected": -225.5204620361328,
|
1316 |
+
"loss": 0.0872,
|
1317 |
+
"rewards/accuracies": 0.96875,
|
1318 |
+
"rewards/chosen": 0.49195781350135803,
|
1319 |
+
"rewards/margins": 6.213925361633301,
|
1320 |
+
"rewards/rejected": -5.721967697143555,
|
1321 |
+
"step": 790
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 1.71,
|
1325 |
+
"grad_norm": 111.87130217318148,
|
1326 |
+
"learning_rate": 6.148679950161672e-09,
|
1327 |
+
"logits/chosen": -2.475398302078247,
|
1328 |
+
"logits/rejected": -2.5179803371429443,
|
1329 |
+
"logps/chosen": -89.04031372070312,
|
1330 |
+
"logps/rejected": -270.52117919921875,
|
1331 |
+
"loss": 0.0755,
|
1332 |
+
"rewards/accuracies": 0.981249988079071,
|
1333 |
+
"rewards/chosen": 0.1288180649280548,
|
1334 |
+
"rewards/margins": 7.451496124267578,
|
1335 |
+
"rewards/rejected": -7.322678565979004,
|
1336 |
+
"step": 800
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 1.71,
|
1340 |
+
"eval_logits/chosen": -2.3867335319519043,
|
1341 |
+
"eval_logits/rejected": -2.3436965942382812,
|
1342 |
+
"eval_logps/chosen": -79.67388153076172,
|
1343 |
+
"eval_logps/rejected": -253.01498413085938,
|
1344 |
+
"eval_loss": 0.18022477626800537,
|
1345 |
+
"eval_rewards/accuracies": 0.8947368264198303,
|
1346 |
+
"eval_rewards/chosen": 0.32240524888038635,
|
1347 |
+
"eval_rewards/margins": 7.276304721832275,
|
1348 |
+
"eval_rewards/rejected": -6.953899383544922,
|
1349 |
+
"eval_runtime": 27.7976,
|
1350 |
+
"eval_samples_per_second": 10.828,
|
1351 |
+
"eval_steps_per_second": 0.684,
|
1352 |
+
"step": 800
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 1.73,
|
1356 |
+
"grad_norm": 110.49991026961725,
|
1357 |
+
"learning_rate": 5.281129616683166e-09,
|
1358 |
+
"logits/chosen": -2.5127198696136475,
|
1359 |
+
"logits/rejected": -2.512899160385132,
|
1360 |
+
"logps/chosen": -86.99423217773438,
|
1361 |
+
"logps/rejected": -254.9462432861328,
|
1362 |
+
"loss": 0.0962,
|
1363 |
+
"rewards/accuracies": 0.9437500238418579,
|
1364 |
+
"rewards/chosen": 0.06987112015485764,
|
1365 |
+
"rewards/margins": 6.7237701416015625,
|
1366 |
+
"rewards/rejected": -6.6538987159729,
|
1367 |
+
"step": 810
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 1.76,
|
1371 |
+
"grad_norm": 108.21879194257498,
|
1372 |
+
"learning_rate": 4.476122667059206e-09,
|
1373 |
+
"logits/chosen": -2.4863157272338867,
|
1374 |
+
"logits/rejected": -2.4990665912628174,
|
1375 |
+
"logps/chosen": -86.436279296875,
|
1376 |
+
"logps/rejected": -256.197998046875,
|
1377 |
+
"loss": 0.1138,
|
1378 |
+
"rewards/accuracies": 0.981249988079071,
|
1379 |
+
"rewards/chosen": 0.21532371640205383,
|
1380 |
+
"rewards/margins": 6.994332313537598,
|
1381 |
+
"rewards/rejected": -6.779008388519287,
|
1382 |
+
"step": 820
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 1.78,
|
1386 |
+
"grad_norm": 76.19186603851071,
|
1387 |
+
"learning_rate": 3.734784976300165e-09,
|
1388 |
+
"logits/chosen": -2.4668314456939697,
|
1389 |
+
"logits/rejected": -2.4680819511413574,
|
1390 |
+
"logps/chosen": -89.12982940673828,
|
1391 |
+
"logps/rejected": -259.98974609375,
|
1392 |
+
"loss": 0.1034,
|
1393 |
+
"rewards/accuracies": 0.956250011920929,
|
1394 |
+
"rewards/chosen": 0.2635418772697449,
|
1395 |
+
"rewards/margins": 6.681604862213135,
|
1396 |
+
"rewards/rejected": -6.418063163757324,
|
1397 |
+
"step": 830
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 1.8,
|
1401 |
+
"grad_norm": 89.59280146601071,
|
1402 |
+
"learning_rate": 3.0581533722006947e-09,
|
1403 |
+
"logits/chosen": -2.521101236343384,
|
1404 |
+
"logits/rejected": -2.5018861293792725,
|
1405 |
+
"logps/chosen": -85.35905456542969,
|
1406 |
+
"logps/rejected": -227.835205078125,
|
1407 |
+
"loss": 0.082,
|
1408 |
+
"rewards/accuracies": 0.9937499761581421,
|
1409 |
+
"rewards/chosen": 0.3482588827610016,
|
1410 |
+
"rewards/margins": 6.087993144989014,
|
1411 |
+
"rewards/rejected": -5.739733695983887,
|
1412 |
+
"step": 840
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 1.82,
|
1416 |
+
"grad_norm": 132.74610726242307,
|
1417 |
+
"learning_rate": 2.4471741852423233e-09,
|
1418 |
+
"logits/chosen": -2.4352290630340576,
|
1419 |
+
"logits/rejected": -2.490058422088623,
|
1420 |
+
"logps/chosen": -89.67268371582031,
|
1421 |
+
"logps/rejected": -224.5243682861328,
|
1422 |
+
"loss": 0.1031,
|
1423 |
+
"rewards/accuracies": 0.9750000238418579,
|
1424 |
+
"rewards/chosen": 0.25209230184555054,
|
1425 |
+
"rewards/margins": 6.445871829986572,
|
1426 |
+
"rewards/rejected": -6.1937785148620605,
|
1427 |
+
"step": 850
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 1.84,
|
1431 |
+
"grad_norm": 95.32823058547511,
|
1432 |
+
"learning_rate": 1.9027019250647036e-09,
|
1433 |
+
"logits/chosen": -2.5332539081573486,
|
1434 |
+
"logits/rejected": -2.539168357849121,
|
1435 |
+
"logps/chosen": -89.87360382080078,
|
1436 |
+
"logps/rejected": -267.892822265625,
|
1437 |
+
"loss": 0.0952,
|
1438 |
+
"rewards/accuracies": 0.981249988079071,
|
1439 |
+
"rewards/chosen": 0.2068900316953659,
|
1440 |
+
"rewards/margins": 6.962863922119141,
|
1441 |
+
"rewards/rejected": -6.755973815917969,
|
1442 |
+
"step": 860
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 1.86,
|
1446 |
+
"grad_norm": 145.27755044968825,
|
1447 |
+
"learning_rate": 1.4254980853566246e-09,
|
1448 |
+
"logits/chosen": -2.4520225524902344,
|
1449 |
+
"logits/rejected": -2.4698426723480225,
|
1450 |
+
"logps/chosen": -85.50424194335938,
|
1451 |
+
"logps/rejected": -255.6893768310547,
|
1452 |
+
"loss": 0.0956,
|
1453 |
+
"rewards/accuracies": 0.9624999761581421,
|
1454 |
+
"rewards/chosen": 0.2579875588417053,
|
1455 |
+
"rewards/margins": 7.30988073348999,
|
1456 |
+
"rewards/rejected": -7.0518927574157715,
|
1457 |
+
"step": 870
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 1.88,
|
1461 |
+
"grad_norm": 87.4062367020671,
|
1462 |
+
"learning_rate": 1.0162300788382261e-09,
|
1463 |
+
"logits/chosen": -2.488208770751953,
|
1464 |
+
"logits/rejected": -2.515857458114624,
|
1465 |
+
"logps/chosen": -90.32164001464844,
|
1466 |
+
"logps/rejected": -226.85171508789062,
|
1467 |
+
"loss": 0.0942,
|
1468 |
+
"rewards/accuracies": 0.96875,
|
1469 |
+
"rewards/chosen": 0.23069357872009277,
|
1470 |
+
"rewards/margins": 6.096683502197266,
|
1471 |
+
"rewards/rejected": -5.865989685058594,
|
1472 |
+
"step": 880
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 1.91,
|
1476 |
+
"grad_norm": 129.60497880498312,
|
1477 |
+
"learning_rate": 6.754703038239329e-10,
|
1478 |
+
"logits/chosen": -2.4546942710876465,
|
1479 |
+
"logits/rejected": -2.498014450073242,
|
1480 |
+
"logps/chosen": -93.2281494140625,
|
1481 |
+
"logps/rejected": -241.6513671875,
|
1482 |
+
"loss": 0.0995,
|
1483 |
+
"rewards/accuracies": 0.987500011920929,
|
1484 |
+
"rewards/chosen": 0.2960784137248993,
|
1485 |
+
"rewards/margins": 6.222127914428711,
|
1486 |
+
"rewards/rejected": -5.926049709320068,
|
1487 |
+
"step": 890
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 1.93,
|
1491 |
+
"grad_norm": 189.4146678200498,
|
1492 |
+
"learning_rate": 4.0369534367168944e-10,
|
1493 |
+
"logits/chosen": -2.4957008361816406,
|
1494 |
+
"logits/rejected": -2.4675281047821045,
|
1495 |
+
"logps/chosen": -77.89246368408203,
|
1496 |
+
"logps/rejected": -257.5621643066406,
|
1497 |
+
"loss": 0.1177,
|
1498 |
+
"rewards/accuracies": 0.9624999761581421,
|
1499 |
+
"rewards/chosen": 0.49517494440078735,
|
1500 |
+
"rewards/margins": 7.060118198394775,
|
1501 |
+
"rewards/rejected": -6.564943790435791,
|
1502 |
+
"step": 900
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 1.93,
|
1506 |
+
"eval_logits/chosen": -2.384641647338867,
|
1507 |
+
"eval_logits/rejected": -2.3416695594787598,
|
1508 |
+
"eval_logps/chosen": -80.31053924560547,
|
1509 |
+
"eval_logps/rejected": -253.77731323242188,
|
1510 |
+
"eval_loss": 0.17933423817157745,
|
1511 |
+
"eval_rewards/accuracies": 0.8947368264198303,
|
1512 |
+
"eval_rewards/chosen": 0.25873973965644836,
|
1513 |
+
"eval_rewards/margins": 7.288874626159668,
|
1514 |
+
"eval_rewards/rejected": -7.030135154724121,
|
1515 |
+
"eval_runtime": 27.722,
|
1516 |
+
"eval_samples_per_second": 10.858,
|
1517 |
+
"eval_steps_per_second": 0.685,
|
1518 |
+
"step": 900
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 1.95,
|
1522 |
+
"grad_norm": 122.05899501763088,
|
1523 |
+
"learning_rate": 2.0128530023804656e-10,
|
1524 |
+
"logits/chosen": -2.496187448501587,
|
1525 |
+
"logits/rejected": -2.4914169311523438,
|
1526 |
+
"logps/chosen": -88.0294189453125,
|
1527 |
+
"logps/rejected": -257.91558837890625,
|
1528 |
+
"loss": 0.1067,
|
1529 |
+
"rewards/accuracies": 0.9624999761581421,
|
1530 |
+
"rewards/chosen": 0.12927184998989105,
|
1531 |
+
"rewards/margins": 6.56699275970459,
|
1532 |
+
"rewards/rejected": -6.437721252441406,
|
1533 |
+
"step": 910
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 1.97,
|
1537 |
+
"grad_norm": 65.9343080763714,
|
1538 |
+
"learning_rate": 6.852326227130833e-11,
|
1539 |
+
"logits/chosen": -2.521149158477783,
|
1540 |
+
"logits/rejected": -2.5130820274353027,
|
1541 |
+
"logps/chosen": -84.37642669677734,
|
1542 |
+
"logps/rejected": -246.3243865966797,
|
1543 |
+
"loss": 0.0899,
|
1544 |
+
"rewards/accuracies": 0.9937499761581421,
|
1545 |
+
"rewards/chosen": 0.4820326268672943,
|
1546 |
+
"rewards/margins": 6.372977256774902,
|
1547 |
+
"rewards/rejected": -5.890944957733154,
|
1548 |
+
"step": 920
|
1549 |
+
},
|
1550 |
+
{
|
1551 |
+
"epoch": 1.99,
|
1552 |
+
"grad_norm": 93.45308900990692,
|
1553 |
+
"learning_rate": 5.594909486328347e-12,
|
1554 |
+
"logits/chosen": -2.450763702392578,
|
1555 |
+
"logits/rejected": -2.467440128326416,
|
1556 |
+
"logps/chosen": -78.51066589355469,
|
1557 |
+
"logps/rejected": -229.6824188232422,
|
1558 |
+
"loss": 0.0926,
|
1559 |
+
"rewards/accuracies": 0.9624999761581421,
|
1560 |
+
"rewards/chosen": 0.3496243357658386,
|
1561 |
+
"rewards/margins": 5.816868305206299,
|
1562 |
+
"rewards/rejected": -5.4672441482543945,
|
1563 |
+
"step": 930
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 2.0,
|
1567 |
+
"step": 934,
|
1568 |
+
"total_flos": 0.0,
|
1569 |
+
"train_loss": 0.21607095603003493,
|
1570 |
+
"train_runtime": 14362.1771,
|
1571 |
+
"train_samples_per_second": 4.163,
|
1572 |
+
"train_steps_per_second": 0.065
|
1573 |
+
}
|
1574 |
+
],
|
1575 |
+
"logging_steps": 10,
|
1576 |
+
"max_steps": 934,
|
1577 |
+
"num_input_tokens_seen": 0,
|
1578 |
+
"num_train_epochs": 2,
|
1579 |
+
"save_steps": 50,
|
1580 |
+
"total_flos": 0.0,
|
1581 |
+
"train_batch_size": 2,
|
1582 |
+
"trial_name": null,
|
1583 |
+
"trial_params": null
|
1584 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:671b65610da39dbaa29fbb27313c65bc3ff72cb5c681dbc518d28d001dda8d40
|
3 |
+
size 6456
|