shyam-incedoinc
commited on
Commit
β’
5bf2a6b
1
Parent(s):
bbf6baf
Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +23 -0
- adapter_model.bin +3 -0
- checkpoint-117/README.md +34 -0
- checkpoint-117/adapter_config.json +23 -0
- checkpoint-117/adapter_model.bin +3 -0
- checkpoint-117/optimizer.pt +3 -0
- checkpoint-117/rng_state.pth +3 -0
- checkpoint-117/scheduler.pt +3 -0
- checkpoint-117/special_tokens_map.json +12 -0
- checkpoint-117/tokenizer.json +0 -0
- checkpoint-117/tokenizer.model +3 -0
- checkpoint-117/tokenizer_config.json +81 -0
- checkpoint-117/trainer_state.json +793 -0
- checkpoint-117/training_args.bin +3 -0
- runs/Sep25_12-31-14_3025c0ae9f03/events.out.tfevents.1695645074.3025c0ae9f03.5818.0 +3 -0
- special_tokens_map.json +12 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +81 -0
- training_args.bin +3 -0
- training_params.json +40 -0
README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- autotrain
|
4 |
+
- text-generation
|
5 |
+
widget:
|
6 |
+
- text: "I love AutoTrain because "
|
7 |
+
---
|
8 |
+
|
9 |
+
# Model Trained Using AutoTrain
|
adapter_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"lora_alpha": 32,
|
12 |
+
"lora_dropout": 0.05,
|
13 |
+
"modules_to_save": null,
|
14 |
+
"peft_type": "LORA",
|
15 |
+
"r": 16,
|
16 |
+
"rank_pattern": {},
|
17 |
+
"revision": null,
|
18 |
+
"target_modules": [
|
19 |
+
"q_proj",
|
20 |
+
"v_proj"
|
21 |
+
],
|
22 |
+
"task_type": "CAUSAL_LM"
|
23 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e54bff4c14de5c8cef76a7dc50e0325c7a366d63df92745948914a4e9972a5e1
|
3 |
+
size 33600461
|
checkpoint-117/README.md
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- quant_method: bitsandbytes
|
9 |
+
- load_in_8bit: False
|
10 |
+
- load_in_4bit: True
|
11 |
+
- llm_int8_threshold: 6.0
|
12 |
+
- llm_int8_skip_modules: None
|
13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
14 |
+
- llm_int8_has_fp16_weight: False
|
15 |
+
- bnb_4bit_quant_type: nf4
|
16 |
+
- bnb_4bit_use_double_quant: False
|
17 |
+
- bnb_4bit_compute_dtype: float16
|
18 |
+
|
19 |
+
The following `bitsandbytes` quantization config was used during training:
|
20 |
+
- quant_method: bitsandbytes
|
21 |
+
- load_in_8bit: False
|
22 |
+
- load_in_4bit: True
|
23 |
+
- llm_int8_threshold: 6.0
|
24 |
+
- llm_int8_skip_modules: None
|
25 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
26 |
+
- llm_int8_has_fp16_weight: False
|
27 |
+
- bnb_4bit_quant_type: nf4
|
28 |
+
- bnb_4bit_use_double_quant: False
|
29 |
+
- bnb_4bit_compute_dtype: float16
|
30 |
+
### Framework versions
|
31 |
+
|
32 |
+
- PEFT 0.6.0.dev0
|
33 |
+
|
34 |
+
- PEFT 0.6.0.dev0
|
checkpoint-117/adapter_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"lora_alpha": 32,
|
12 |
+
"lora_dropout": 0.05,
|
13 |
+
"modules_to_save": null,
|
14 |
+
"peft_type": "LORA",
|
15 |
+
"r": 16,
|
16 |
+
"rank_pattern": {},
|
17 |
+
"revision": null,
|
18 |
+
"target_modules": [
|
19 |
+
"q_proj",
|
20 |
+
"v_proj"
|
21 |
+
],
|
22 |
+
"task_type": "CAUSAL_LM"
|
23 |
+
}
|
checkpoint-117/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e54bff4c14de5c8cef76a7dc50e0325c7a366d63df92745948914a4e9972a5e1
|
3 |
+
size 33600461
|
checkpoint-117/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:645555772ba4f2c02b8a8af9eec10ae9498a56ee6ebad17ba6d85da623e2a110
|
3 |
+
size 67216581
|
checkpoint-117/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:21046b2023a31da0b79ee90b6ad8df74299bd9c91f0391f3e0e718fda8bfb402
|
3 |
+
size 14575
|
checkpoint-117/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fcac1b0ef8ad437f69c356f1b22102241bc4f17ea0b68d237b474fb253daec41
|
3 |
+
size 627
|
checkpoint-117/special_tokens_map.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"β<PRE>",
|
4 |
+
"β<MID>",
|
5 |
+
"β<SUF>",
|
6 |
+
"β<EOT>"
|
7 |
+
],
|
8 |
+
"bos_token": "<s>",
|
9 |
+
"eos_token": "</s>",
|
10 |
+
"pad_token": "</s>",
|
11 |
+
"unk_token": "<unk>"
|
12 |
+
}
|
checkpoint-117/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-117/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
|
3 |
+
size 500058
|
checkpoint-117/tokenizer_config.json
ADDED
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": true,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": true,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": true,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"32007": {
|
28 |
+
"content": "β<PRE>",
|
29 |
+
"lstrip": true,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": true,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"32008": {
|
36 |
+
"content": "β<SUF>",
|
37 |
+
"lstrip": true,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": true,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"32009": {
|
44 |
+
"content": "β<MID>",
|
45 |
+
"lstrip": true,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": true,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"32010": {
|
52 |
+
"content": "β<EOT>",
|
53 |
+
"lstrip": true,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": true,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
}
|
59 |
+
},
|
60 |
+
"additional_special_tokens": [
|
61 |
+
"β<PRE>",
|
62 |
+
"β<MID>",
|
63 |
+
"β<SUF>",
|
64 |
+
"β<EOT>"
|
65 |
+
],
|
66 |
+
"bos_token": "<s>",
|
67 |
+
"clean_up_tokenization_spaces": false,
|
68 |
+
"eos_token": "</s>",
|
69 |
+
"eot_token": "β<EOT>",
|
70 |
+
"fill_token": "<FILL_ME>",
|
71 |
+
"legacy": null,
|
72 |
+
"middle_token": "β<MID>",
|
73 |
+
"model_max_length": 1024,
|
74 |
+
"pad_token": null,
|
75 |
+
"prefix_token": "β<PRE>",
|
76 |
+
"sp_model_kwargs": {},
|
77 |
+
"suffix_token": "β<SUF>",
|
78 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
79 |
+
"unk_token": "<unk>",
|
80 |
+
"use_default_system_prompt": false
|
81 |
+
}
|
checkpoint-117/trainer_state.json
ADDED
@@ -0,0 +1,793 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.23757965862751007,
|
3 |
+
"best_model_checkpoint": "qa-model-finetune/checkpoint-117",
|
4 |
+
"epoch": 8.26,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 117,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02,
|
13 |
+
"learning_rate": 4.000000000000001e-06,
|
14 |
+
"loss": 1.1156,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 8.000000000000001e-06,
|
20 |
+
"loss": 1.225,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.06,
|
25 |
+
"learning_rate": 1.2e-05,
|
26 |
+
"loss": 1.0757,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.08,
|
31 |
+
"learning_rate": 1.6000000000000003e-05,
|
32 |
+
"loss": 0.8098,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.1,
|
37 |
+
"learning_rate": 2e-05,
|
38 |
+
"loss": 1.2561,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.12,
|
43 |
+
"learning_rate": 2.4e-05,
|
44 |
+
"loss": 1.2355,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.14,
|
49 |
+
"learning_rate": 2.8000000000000003e-05,
|
50 |
+
"loss": 1.0707,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.16,
|
55 |
+
"learning_rate": 3.2000000000000005e-05,
|
56 |
+
"loss": 1.3054,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.18,
|
61 |
+
"learning_rate": 3.6e-05,
|
62 |
+
"loss": 1.2546,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.2,
|
67 |
+
"learning_rate": 4e-05,
|
68 |
+
"loss": 1.2499,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.22,
|
73 |
+
"learning_rate": 4.4000000000000006e-05,
|
74 |
+
"loss": 1.0749,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.24,
|
79 |
+
"learning_rate": 4.8e-05,
|
80 |
+
"loss": 1.1383,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.26,
|
85 |
+
"learning_rate": 5.2000000000000004e-05,
|
86 |
+
"loss": 1.15,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.26,
|
91 |
+
"eval_loss": 0.841742217540741,
|
92 |
+
"eval_runtime": 24.118,
|
93 |
+
"eval_samples_per_second": 0.788,
|
94 |
+
"eval_steps_per_second": 0.207,
|
95 |
+
"step": 13
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 1.02,
|
99 |
+
"learning_rate": 5.6000000000000006e-05,
|
100 |
+
"loss": 0.9705,
|
101 |
+
"step": 14
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.04,
|
105 |
+
"learning_rate": 6e-05,
|
106 |
+
"loss": 1.2398,
|
107 |
+
"step": 15
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.06,
|
111 |
+
"learning_rate": 6.400000000000001e-05,
|
112 |
+
"loss": 0.9997,
|
113 |
+
"step": 16
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.08,
|
117 |
+
"learning_rate": 6.800000000000001e-05,
|
118 |
+
"loss": 1.2356,
|
119 |
+
"step": 17
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.1,
|
123 |
+
"learning_rate": 7.2e-05,
|
124 |
+
"loss": 0.8312,
|
125 |
+
"step": 18
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.12,
|
129 |
+
"learning_rate": 7.6e-05,
|
130 |
+
"loss": 1.0169,
|
131 |
+
"step": 19
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.14,
|
135 |
+
"learning_rate": 8e-05,
|
136 |
+
"loss": 0.8709,
|
137 |
+
"step": 20
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.16,
|
141 |
+
"learning_rate": 8.4e-05,
|
142 |
+
"loss": 1.121,
|
143 |
+
"step": 21
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.18,
|
147 |
+
"learning_rate": 8.800000000000001e-05,
|
148 |
+
"loss": 0.9481,
|
149 |
+
"step": 22
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.2,
|
153 |
+
"learning_rate": 9.200000000000001e-05,
|
154 |
+
"loss": 0.8888,
|
155 |
+
"step": 23
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.22,
|
159 |
+
"learning_rate": 9.6e-05,
|
160 |
+
"loss": 1.0233,
|
161 |
+
"step": 24
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.24,
|
165 |
+
"learning_rate": 0.0001,
|
166 |
+
"loss": 0.8382,
|
167 |
+
"step": 25
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.26,
|
171 |
+
"learning_rate": 0.00010400000000000001,
|
172 |
+
"loss": 0.8734,
|
173 |
+
"step": 26
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.26,
|
177 |
+
"eval_loss": 0.7118059992790222,
|
178 |
+
"eval_runtime": 24.0715,
|
179 |
+
"eval_samples_per_second": 0.789,
|
180 |
+
"eval_steps_per_second": 0.208,
|
181 |
+
"step": 26
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 2.02,
|
185 |
+
"learning_rate": 0.00010800000000000001,
|
186 |
+
"loss": 0.9912,
|
187 |
+
"step": 27
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 2.04,
|
191 |
+
"learning_rate": 0.00011200000000000001,
|
192 |
+
"loss": 1.0997,
|
193 |
+
"step": 28
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 2.06,
|
197 |
+
"learning_rate": 0.000116,
|
198 |
+
"loss": 0.7957,
|
199 |
+
"step": 29
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 2.08,
|
203 |
+
"learning_rate": 0.00012,
|
204 |
+
"loss": 0.9109,
|
205 |
+
"step": 30
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 2.1,
|
209 |
+
"learning_rate": 0.000124,
|
210 |
+
"loss": 0.9713,
|
211 |
+
"step": 31
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 2.12,
|
215 |
+
"learning_rate": 0.00012800000000000002,
|
216 |
+
"loss": 0.7388,
|
217 |
+
"step": 32
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 2.14,
|
221 |
+
"learning_rate": 0.000132,
|
222 |
+
"loss": 0.481,
|
223 |
+
"step": 33
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 2.16,
|
227 |
+
"learning_rate": 0.00013600000000000003,
|
228 |
+
"loss": 0.9344,
|
229 |
+
"step": 34
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 2.18,
|
233 |
+
"learning_rate": 0.00014,
|
234 |
+
"loss": 0.8717,
|
235 |
+
"step": 35
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 2.2,
|
239 |
+
"learning_rate": 0.000144,
|
240 |
+
"loss": 0.7509,
|
241 |
+
"step": 36
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 2.22,
|
245 |
+
"learning_rate": 0.000148,
|
246 |
+
"loss": 0.8116,
|
247 |
+
"step": 37
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 2.24,
|
251 |
+
"learning_rate": 0.000152,
|
252 |
+
"loss": 0.7251,
|
253 |
+
"step": 38
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 2.26,
|
257 |
+
"learning_rate": 0.00015600000000000002,
|
258 |
+
"loss": 0.7168,
|
259 |
+
"step": 39
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 2.26,
|
263 |
+
"eval_loss": 0.5603676438331604,
|
264 |
+
"eval_runtime": 23.997,
|
265 |
+
"eval_samples_per_second": 0.792,
|
266 |
+
"eval_steps_per_second": 0.208,
|
267 |
+
"step": 39
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 3.02,
|
271 |
+
"learning_rate": 0.00016,
|
272 |
+
"loss": 0.7851,
|
273 |
+
"step": 40
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 3.04,
|
277 |
+
"learning_rate": 0.000164,
|
278 |
+
"loss": 0.7412,
|
279 |
+
"step": 41
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 3.06,
|
283 |
+
"learning_rate": 0.000168,
|
284 |
+
"loss": 0.674,
|
285 |
+
"step": 42
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 3.08,
|
289 |
+
"learning_rate": 0.000172,
|
290 |
+
"loss": 0.7634,
|
291 |
+
"step": 43
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 3.1,
|
295 |
+
"learning_rate": 0.00017600000000000002,
|
296 |
+
"loss": 0.6933,
|
297 |
+
"step": 44
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3.12,
|
301 |
+
"learning_rate": 0.00018,
|
302 |
+
"loss": 0.5634,
|
303 |
+
"step": 45
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 3.14,
|
307 |
+
"learning_rate": 0.00018400000000000003,
|
308 |
+
"loss": 0.6571,
|
309 |
+
"step": 46
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 3.16,
|
313 |
+
"learning_rate": 0.000188,
|
314 |
+
"loss": 0.5984,
|
315 |
+
"step": 47
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 3.18,
|
319 |
+
"learning_rate": 0.000192,
|
320 |
+
"loss": 0.674,
|
321 |
+
"step": 48
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 3.2,
|
325 |
+
"learning_rate": 0.000196,
|
326 |
+
"loss": 0.6171,
|
327 |
+
"step": 49
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 3.22,
|
331 |
+
"learning_rate": 0.0002,
|
332 |
+
"loss": 0.6129,
|
333 |
+
"step": 50
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 3.24,
|
337 |
+
"learning_rate": 0.00019955555555555558,
|
338 |
+
"loss": 0.5328,
|
339 |
+
"step": 51
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 3.26,
|
343 |
+
"learning_rate": 0.00019911111111111111,
|
344 |
+
"loss": 0.479,
|
345 |
+
"step": 52
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 3.26,
|
349 |
+
"eval_loss": 0.41886183619499207,
|
350 |
+
"eval_runtime": 23.9197,
|
351 |
+
"eval_samples_per_second": 0.794,
|
352 |
+
"eval_steps_per_second": 0.209,
|
353 |
+
"step": 52
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 4.02,
|
357 |
+
"learning_rate": 0.00019866666666666668,
|
358 |
+
"loss": 0.5089,
|
359 |
+
"step": 53
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 4.04,
|
363 |
+
"learning_rate": 0.00019822222222222225,
|
364 |
+
"loss": 0.5049,
|
365 |
+
"step": 54
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 4.06,
|
369 |
+
"learning_rate": 0.00019777777777777778,
|
370 |
+
"loss": 0.5407,
|
371 |
+
"step": 55
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 4.08,
|
375 |
+
"learning_rate": 0.00019733333333333335,
|
376 |
+
"loss": 0.3821,
|
377 |
+
"step": 56
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 4.1,
|
381 |
+
"learning_rate": 0.0001968888888888889,
|
382 |
+
"loss": 0.484,
|
383 |
+
"step": 57
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 4.12,
|
387 |
+
"learning_rate": 0.00019644444444444445,
|
388 |
+
"loss": 0.5705,
|
389 |
+
"step": 58
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 4.14,
|
393 |
+
"learning_rate": 0.000196,
|
394 |
+
"loss": 0.5301,
|
395 |
+
"step": 59
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 4.16,
|
399 |
+
"learning_rate": 0.00019555555555555556,
|
400 |
+
"loss": 0.6168,
|
401 |
+
"step": 60
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 4.18,
|
405 |
+
"learning_rate": 0.0001951111111111111,
|
406 |
+
"loss": 0.4745,
|
407 |
+
"step": 61
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 4.2,
|
411 |
+
"learning_rate": 0.0001946666666666667,
|
412 |
+
"loss": 0.6383,
|
413 |
+
"step": 62
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 4.22,
|
417 |
+
"learning_rate": 0.00019422222222222223,
|
418 |
+
"loss": 0.3682,
|
419 |
+
"step": 63
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 4.24,
|
423 |
+
"learning_rate": 0.0001937777777777778,
|
424 |
+
"loss": 0.5654,
|
425 |
+
"step": 64
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 4.26,
|
429 |
+
"learning_rate": 0.00019333333333333333,
|
430 |
+
"loss": 0.451,
|
431 |
+
"step": 65
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 4.26,
|
435 |
+
"eval_loss": 0.3399796783924103,
|
436 |
+
"eval_runtime": 24.1635,
|
437 |
+
"eval_samples_per_second": 0.786,
|
438 |
+
"eval_steps_per_second": 0.207,
|
439 |
+
"step": 65
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 5.02,
|
443 |
+
"learning_rate": 0.0001928888888888889,
|
444 |
+
"loss": 0.4663,
|
445 |
+
"step": 66
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 5.04,
|
449 |
+
"learning_rate": 0.00019244444444444444,
|
450 |
+
"loss": 0.4582,
|
451 |
+
"step": 67
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 5.06,
|
455 |
+
"learning_rate": 0.000192,
|
456 |
+
"loss": 0.3941,
|
457 |
+
"step": 68
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 5.08,
|
461 |
+
"learning_rate": 0.00019155555555555554,
|
462 |
+
"loss": 0.401,
|
463 |
+
"step": 69
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 5.1,
|
467 |
+
"learning_rate": 0.00019111111111111114,
|
468 |
+
"loss": 0.5281,
|
469 |
+
"step": 70
|
470 |
+
},
|
471 |
+
{
|
472 |
+
"epoch": 5.12,
|
473 |
+
"learning_rate": 0.00019066666666666668,
|
474 |
+
"loss": 0.4658,
|
475 |
+
"step": 71
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 5.14,
|
479 |
+
"learning_rate": 0.00019022222222222224,
|
480 |
+
"loss": 0.4215,
|
481 |
+
"step": 72
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 5.16,
|
485 |
+
"learning_rate": 0.00018977777777777778,
|
486 |
+
"loss": 0.33,
|
487 |
+
"step": 73
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 5.18,
|
491 |
+
"learning_rate": 0.00018933333333333335,
|
492 |
+
"loss": 0.5385,
|
493 |
+
"step": 74
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 5.2,
|
497 |
+
"learning_rate": 0.00018888888888888888,
|
498 |
+
"loss": 0.3539,
|
499 |
+
"step": 75
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 5.22,
|
503 |
+
"learning_rate": 0.00018844444444444445,
|
504 |
+
"loss": 0.4084,
|
505 |
+
"step": 76
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 5.24,
|
509 |
+
"learning_rate": 0.000188,
|
510 |
+
"loss": 0.2773,
|
511 |
+
"step": 77
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 5.26,
|
515 |
+
"learning_rate": 0.00018755555555555558,
|
516 |
+
"loss": 0.3543,
|
517 |
+
"step": 78
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 5.26,
|
521 |
+
"eval_loss": 0.29384246468544006,
|
522 |
+
"eval_runtime": 24.1775,
|
523 |
+
"eval_samples_per_second": 0.786,
|
524 |
+
"eval_steps_per_second": 0.207,
|
525 |
+
"step": 78
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 6.02,
|
529 |
+
"learning_rate": 0.00018711111111111112,
|
530 |
+
"loss": 0.4595,
|
531 |
+
"step": 79
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 6.04,
|
535 |
+
"learning_rate": 0.0001866666666666667,
|
536 |
+
"loss": 0.4364,
|
537 |
+
"step": 80
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 6.06,
|
541 |
+
"learning_rate": 0.00018622222222222223,
|
542 |
+
"loss": 0.2679,
|
543 |
+
"step": 81
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 6.08,
|
547 |
+
"learning_rate": 0.0001857777777777778,
|
548 |
+
"loss": 0.3882,
|
549 |
+
"step": 82
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 6.1,
|
553 |
+
"learning_rate": 0.00018533333333333333,
|
554 |
+
"loss": 0.3004,
|
555 |
+
"step": 83
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 6.12,
|
559 |
+
"learning_rate": 0.0001848888888888889,
|
560 |
+
"loss": 0.3132,
|
561 |
+
"step": 84
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 6.14,
|
565 |
+
"learning_rate": 0.00018444444444444446,
|
566 |
+
"loss": 0.4519,
|
567 |
+
"step": 85
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 6.16,
|
571 |
+
"learning_rate": 0.00018400000000000003,
|
572 |
+
"loss": 0.2922,
|
573 |
+
"step": 86
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 6.18,
|
577 |
+
"learning_rate": 0.00018355555555555557,
|
578 |
+
"loss": 0.3561,
|
579 |
+
"step": 87
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 6.2,
|
583 |
+
"learning_rate": 0.00018311111111111113,
|
584 |
+
"loss": 0.3193,
|
585 |
+
"step": 88
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 6.22,
|
589 |
+
"learning_rate": 0.00018266666666666667,
|
590 |
+
"loss": 0.3153,
|
591 |
+
"step": 89
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 6.24,
|
595 |
+
"learning_rate": 0.00018222222222222224,
|
596 |
+
"loss": 0.2202,
|
597 |
+
"step": 90
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 6.26,
|
601 |
+
"learning_rate": 0.00018177777777777778,
|
602 |
+
"loss": 0.2222,
|
603 |
+
"step": 91
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 6.26,
|
607 |
+
"eval_loss": 0.2629795968532562,
|
608 |
+
"eval_runtime": 24.1398,
|
609 |
+
"eval_samples_per_second": 0.787,
|
610 |
+
"eval_steps_per_second": 0.207,
|
611 |
+
"step": 91
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 7.02,
|
615 |
+
"learning_rate": 0.00018133333333333334,
|
616 |
+
"loss": 0.1878,
|
617 |
+
"step": 92
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 7.04,
|
621 |
+
"learning_rate": 0.0001808888888888889,
|
622 |
+
"loss": 0.2644,
|
623 |
+
"step": 93
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 7.06,
|
627 |
+
"learning_rate": 0.00018044444444444447,
|
628 |
+
"loss": 0.2501,
|
629 |
+
"step": 94
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 7.08,
|
633 |
+
"learning_rate": 0.00018,
|
634 |
+
"loss": 0.2801,
|
635 |
+
"step": 95
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 7.1,
|
639 |
+
"learning_rate": 0.00017955555555555558,
|
640 |
+
"loss": 0.3479,
|
641 |
+
"step": 96
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 7.12,
|
645 |
+
"learning_rate": 0.00017911111111111112,
|
646 |
+
"loss": 0.3556,
|
647 |
+
"step": 97
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 7.14,
|
651 |
+
"learning_rate": 0.00017866666666666668,
|
652 |
+
"loss": 0.2206,
|
653 |
+
"step": 98
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 7.16,
|
657 |
+
"learning_rate": 0.00017822222222222222,
|
658 |
+
"loss": 0.2939,
|
659 |
+
"step": 99
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 7.18,
|
663 |
+
"learning_rate": 0.00017777777777777779,
|
664 |
+
"loss": 0.2029,
|
665 |
+
"step": 100
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 7.2,
|
669 |
+
"learning_rate": 0.00017733333333333335,
|
670 |
+
"loss": 0.2979,
|
671 |
+
"step": 101
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 7.22,
|
675 |
+
"learning_rate": 0.0001768888888888889,
|
676 |
+
"loss": 0.2793,
|
677 |
+
"step": 102
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 7.24,
|
681 |
+
"learning_rate": 0.00017644444444444446,
|
682 |
+
"loss": 0.2809,
|
683 |
+
"step": 103
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 7.26,
|
687 |
+
"learning_rate": 0.00017600000000000002,
|
688 |
+
"loss": 0.2748,
|
689 |
+
"step": 104
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 7.26,
|
693 |
+
"eval_loss": 0.25376519560813904,
|
694 |
+
"eval_runtime": 24.0872,
|
695 |
+
"eval_samples_per_second": 0.789,
|
696 |
+
"eval_steps_per_second": 0.208,
|
697 |
+
"step": 104
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 8.02,
|
701 |
+
"learning_rate": 0.00017555555555555556,
|
702 |
+
"loss": 0.116,
|
703 |
+
"step": 105
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 8.04,
|
707 |
+
"learning_rate": 0.00017511111111111113,
|
708 |
+
"loss": 0.2272,
|
709 |
+
"step": 106
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 8.06,
|
713 |
+
"learning_rate": 0.00017466666666666667,
|
714 |
+
"loss": 0.1273,
|
715 |
+
"step": 107
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 8.08,
|
719 |
+
"learning_rate": 0.00017422222222222223,
|
720 |
+
"loss": 0.1605,
|
721 |
+
"step": 108
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 8.1,
|
725 |
+
"learning_rate": 0.0001737777777777778,
|
726 |
+
"loss": 0.2263,
|
727 |
+
"step": 109
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 8.12,
|
731 |
+
"learning_rate": 0.00017333333333333334,
|
732 |
+
"loss": 0.2452,
|
733 |
+
"step": 110
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 8.14,
|
737 |
+
"learning_rate": 0.0001728888888888889,
|
738 |
+
"loss": 0.2009,
|
739 |
+
"step": 111
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 8.16,
|
743 |
+
"learning_rate": 0.00017244444444444444,
|
744 |
+
"loss": 0.2372,
|
745 |
+
"step": 112
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 8.18,
|
749 |
+
"learning_rate": 0.000172,
|
750 |
+
"loss": 0.2736,
|
751 |
+
"step": 113
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 8.2,
|
755 |
+
"learning_rate": 0.00017155555555555555,
|
756 |
+
"loss": 0.3009,
|
757 |
+
"step": 114
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 8.22,
|
761 |
+
"learning_rate": 0.0001711111111111111,
|
762 |
+
"loss": 0.2619,
|
763 |
+
"step": 115
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 8.24,
|
767 |
+
"learning_rate": 0.00017066666666666668,
|
768 |
+
"loss": 0.2698,
|
769 |
+
"step": 116
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 8.26,
|
773 |
+
"learning_rate": 0.00017022222222222224,
|
774 |
+
"loss": 0.1716,
|
775 |
+
"step": 117
|
776 |
+
},
|
777 |
+
{
|
778 |
+
"epoch": 8.26,
|
779 |
+
"eval_loss": 0.23757965862751007,
|
780 |
+
"eval_runtime": 24.2556,
|
781 |
+
"eval_samples_per_second": 0.783,
|
782 |
+
"eval_steps_per_second": 0.206,
|
783 |
+
"step": 117
|
784 |
+
}
|
785 |
+
],
|
786 |
+
"logging_steps": 1,
|
787 |
+
"max_steps": 500,
|
788 |
+
"num_train_epochs": 10,
|
789 |
+
"save_steps": 500,
|
790 |
+
"total_flos": 1.8291357646848e+16,
|
791 |
+
"trial_name": null,
|
792 |
+
"trial_params": null
|
793 |
+
}
|
checkpoint-117/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07edd43c395cc41361c3f2c11b487d986844b6c8297be64ac6f42b2fb6d25642
|
3 |
+
size 4091
|
runs/Sep25_12-31-14_3025c0ae9f03/events.out.tfevents.1695645074.3025c0ae9f03.5818.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:815f05a7ad7002f88647cb7ffd1783874f71ca21570583ca73834bcac6b14432
|
3 |
+
size 27574
|
special_tokens_map.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"β<PRE>",
|
4 |
+
"β<MID>",
|
5 |
+
"β<SUF>",
|
6 |
+
"β<EOT>"
|
7 |
+
],
|
8 |
+
"bos_token": "<s>",
|
9 |
+
"eos_token": "</s>",
|
10 |
+
"pad_token": "</s>",
|
11 |
+
"unk_token": "<unk>"
|
12 |
+
}
|
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 sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
|
3 |
+
size 500058
|
tokenizer_config.json
ADDED
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": true,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": true,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": true,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"32007": {
|
28 |
+
"content": "β<PRE>",
|
29 |
+
"lstrip": true,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": true,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"32008": {
|
36 |
+
"content": "β<SUF>",
|
37 |
+
"lstrip": true,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": true,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"32009": {
|
44 |
+
"content": "β<MID>",
|
45 |
+
"lstrip": true,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": true,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"32010": {
|
52 |
+
"content": "β<EOT>",
|
53 |
+
"lstrip": true,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": true,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
}
|
59 |
+
},
|
60 |
+
"additional_special_tokens": [
|
61 |
+
"β<PRE>",
|
62 |
+
"β<MID>",
|
63 |
+
"β<SUF>",
|
64 |
+
"β<EOT>"
|
65 |
+
],
|
66 |
+
"bos_token": "<s>",
|
67 |
+
"clean_up_tokenization_spaces": false,
|
68 |
+
"eos_token": "</s>",
|
69 |
+
"eot_token": "β<EOT>",
|
70 |
+
"fill_token": "<FILL_ME>",
|
71 |
+
"legacy": null,
|
72 |
+
"middle_token": "β<MID>",
|
73 |
+
"model_max_length": 1024,
|
74 |
+
"pad_token": null,
|
75 |
+
"prefix_token": "β<PRE>",
|
76 |
+
"sp_model_kwargs": {},
|
77 |
+
"suffix_token": "β<SUF>",
|
78 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
79 |
+
"unk_token": "<unk>",
|
80 |
+
"use_default_system_prompt": false
|
81 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07edd43c395cc41361c3f2c11b487d986844b6c8297be64ac6f42b2fb6d25642
|
3 |
+
size 4091
|
training_params.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"model": "codellama/CodeLlama-7b-Instruct-hf",
|
3 |
+
"data_path": ".",
|
4 |
+
"project_name": "qa-model-finetune",
|
5 |
+
"train_split": "train",
|
6 |
+
"valid_split": "valid",
|
7 |
+
"text_column": "text",
|
8 |
+
"token": null,
|
9 |
+
"lr": 0.0002,
|
10 |
+
"epochs": 10,
|
11 |
+
"batch_size": 4,
|
12 |
+
"warmup_ratio": 0.1,
|
13 |
+
"gradient_accumulation": 1,
|
14 |
+
"optimizer": "adamw_torch",
|
15 |
+
"scheduler": "linear",
|
16 |
+
"weight_decay": 0.0,
|
17 |
+
"max_grad_norm": 1.0,
|
18 |
+
"seed": 42,
|
19 |
+
"add_eos_token": false,
|
20 |
+
"block_size": -1,
|
21 |
+
"use_peft": true,
|
22 |
+
"lora_r": 16,
|
23 |
+
"lora_alpha": 32,
|
24 |
+
"lora_dropout": 0.05,
|
25 |
+
"logging_steps": -1,
|
26 |
+
"evaluation_strategy": "epoch",
|
27 |
+
"save_total_limit": 1,
|
28 |
+
"save_strategy": "epoch",
|
29 |
+
"auto_find_batch_size": false,
|
30 |
+
"fp16": false,
|
31 |
+
"push_to_hub": true,
|
32 |
+
"use_int8": false,
|
33 |
+
"model_max_length": 1024,
|
34 |
+
"repo_id": "shyam-incedoinc/codellama-7b-instruct-hf-finetuned-qa-1-3",
|
35 |
+
"use_int4": true,
|
36 |
+
"trainer": "sft",
|
37 |
+
"target_modules": null,
|
38 |
+
"merge_adapter": true,
|
39 |
+
"username": null
|
40 |
+
}
|