prateeky2806
commited on
Commit
•
e10a145
1
Parent(s):
44231af
Training in progress, step 1400
Browse files- adapter_model.bin +1 -1
- checkpoint-1200/adapter_model/adapter_model/README.md +20 -0
- checkpoint-1200/adapter_model/adapter_model/adapter_config.json +26 -0
- checkpoint-1200/adapter_model/adapter_model/adapter_model.bin +3 -0
- checkpoint-1400/README.md +20 -0
- checkpoint-1400/adapter_config.json +26 -0
- checkpoint-1400/adapter_model.bin +3 -0
- checkpoint-1400/added_tokens.json +3 -0
- checkpoint-1400/optimizer.pt +3 -0
- checkpoint-1400/rng_state.pth +3 -0
- checkpoint-1400/scheduler.pt +3 -0
- checkpoint-1400/special_tokens_map.json +6 -0
- checkpoint-1400/tokenizer.model +3 -0
- checkpoint-1400/tokenizer_config.json +35 -0
- checkpoint-1400/trainer_state.json +1353 -0
- checkpoint-1400/training_args.bin +3 -0
adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 319977229
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a5e6d9024685e626b6faf72a42cb9bdf0f54739c50a584ed83925dbb772bb32
|
3 |
size 319977229
|
checkpoint-1200/adapter_model/adapter_model/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: True
|
16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
checkpoint-1200/adapter_model/adapter_model/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Nous-Hermes-llama-2-7b",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16.0,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"v_proj",
|
18 |
+
"q_proj",
|
19 |
+
"down_proj",
|
20 |
+
"k_proj",
|
21 |
+
"gate_proj",
|
22 |
+
"o_proj",
|
23 |
+
"up_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
checkpoint-1200/adapter_model/adapter_model/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a0dab4c65d1ae0efac437023fb259db304328fa46c3ef955e43d5ea812ad5f29
|
3 |
+
size 319977229
|
checkpoint-1400/README.md
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: nf4
|
15 |
+
- bnb_4bit_use_double_quant: True
|
16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
checkpoint-1400/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "NousResearch/Nous-Hermes-llama-2-7b",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16.0,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"v_proj",
|
18 |
+
"q_proj",
|
19 |
+
"down_proj",
|
20 |
+
"k_proj",
|
21 |
+
"gate_proj",
|
22 |
+
"o_proj",
|
23 |
+
"up_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
checkpoint-1400/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a5e6d9024685e626b6faf72a42cb9bdf0f54739c50a584ed83925dbb772bb32
|
3 |
+
size 319977229
|
checkpoint-1400/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<pad>": 32000
|
3 |
+
}
|
checkpoint-1400/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6395be44c475015439c26a60d04b3063b640acda51c7a2d75ca184478363e59f
|
3 |
+
size 1279539973
|
checkpoint-1400/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:005a2c3390f84b2a9307ea572b1b6442779d6c8bd8841174dc68a7ad3de8c36a
|
3 |
+
size 14511
|
checkpoint-1400/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d1351871b6e069a7a4437616d40b913152ecc2cd046e996fcfeb300a3cf60638
|
3 |
+
size 627
|
checkpoint-1400/special_tokens_map.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"eos_token": "</s>",
|
4 |
+
"pad_token": "<unk>",
|
5 |
+
"unk_token": "<unk>"
|
6 |
+
}
|
checkpoint-1400/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-1400/tokenizer_config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"bos_token": {
|
5 |
+
"__type": "AddedToken",
|
6 |
+
"content": "<s>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"clean_up_tokenization_spaces": false,
|
13 |
+
"eos_token": {
|
14 |
+
"__type": "AddedToken",
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"legacy": false,
|
22 |
+
"model_max_length": 1000000000000000019884624838656,
|
23 |
+
"pad_token": null,
|
24 |
+
"padding_side": "right",
|
25 |
+
"sp_model_kwargs": {},
|
26 |
+
"tokenizer_class": "LlamaTokenizer",
|
27 |
+
"unk_token": {
|
28 |
+
"__type": "AddedToken",
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false
|
34 |
+
}
|
35 |
+
}
|
checkpoint-1400/trainer_state.json
ADDED
@@ -0,0 +1,1353 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.834297239780426,
|
3 |
+
"best_model_checkpoint": "./output_v2/7b_cluster031_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_031/checkpoint-1400",
|
4 |
+
"epoch": 0.9631922944616443,
|
5 |
+
"global_step": 1400,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 0.0002,
|
13 |
+
"loss": 0.9502,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 0.0002,
|
19 |
+
"loss": 0.9426,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 0.0002,
|
25 |
+
"loss": 0.9682,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.03,
|
30 |
+
"learning_rate": 0.0002,
|
31 |
+
"loss": 0.8517,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.03,
|
36 |
+
"learning_rate": 0.0002,
|
37 |
+
"loss": 0.8944,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.04,
|
42 |
+
"learning_rate": 0.0002,
|
43 |
+
"loss": 0.8608,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.05,
|
48 |
+
"learning_rate": 0.0002,
|
49 |
+
"loss": 0.915,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.06,
|
54 |
+
"learning_rate": 0.0002,
|
55 |
+
"loss": 0.8349,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.06,
|
60 |
+
"learning_rate": 0.0002,
|
61 |
+
"loss": 0.8912,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.07,
|
66 |
+
"learning_rate": 0.0002,
|
67 |
+
"loss": 0.876,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.08,
|
72 |
+
"learning_rate": 0.0002,
|
73 |
+
"loss": 0.8697,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.08,
|
78 |
+
"learning_rate": 0.0002,
|
79 |
+
"loss": 0.8604,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.09,
|
84 |
+
"learning_rate": 0.0002,
|
85 |
+
"loss": 0.8654,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.1,
|
90 |
+
"learning_rate": 0.0002,
|
91 |
+
"loss": 0.8804,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.1,
|
96 |
+
"learning_rate": 0.0002,
|
97 |
+
"loss": 0.8355,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.11,
|
102 |
+
"learning_rate": 0.0002,
|
103 |
+
"loss": 0.8704,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.12,
|
108 |
+
"learning_rate": 0.0002,
|
109 |
+
"loss": 0.8241,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.12,
|
114 |
+
"learning_rate": 0.0002,
|
115 |
+
"loss": 0.8523,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.13,
|
120 |
+
"learning_rate": 0.0002,
|
121 |
+
"loss": 0.845,
|
122 |
+
"step": 190
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.14,
|
126 |
+
"learning_rate": 0.0002,
|
127 |
+
"loss": 0.8681,
|
128 |
+
"step": 200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.14,
|
132 |
+
"eval_loss": 0.8539559245109558,
|
133 |
+
"eval_runtime": 189.7934,
|
134 |
+
"eval_samples_per_second": 5.269,
|
135 |
+
"eval_steps_per_second": 2.634,
|
136 |
+
"step": 200
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.14,
|
140 |
+
"mmlu_eval_accuracy": 0.47295530665862845,
|
141 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
142 |
+
"mmlu_eval_accuracy_anatomy": 0.5,
|
143 |
+
"mmlu_eval_accuracy_astronomy": 0.375,
|
144 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
145 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
146 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
147 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
148 |
+
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
|
149 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
150 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
151 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
152 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
153 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
154 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
155 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.5,
|
156 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
157 |
+
"mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
|
158 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
159 |
+
"mmlu_eval_accuracy_high_school_biology": 0.34375,
|
160 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
|
161 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778,
|
162 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222,
|
163 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
|
164 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
165 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488,
|
166 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
167 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615,
|
168 |
+
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
|
169 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
|
170 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
171 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
172 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769,
|
173 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
174 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
175 |
+
"mmlu_eval_accuracy_international_law": 0.6923076923076923,
|
176 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
177 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
178 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
179 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
180 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
181 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
182 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
183 |
+
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
|
184 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
185 |
+
"mmlu_eval_accuracy_nutrition": 0.5757575757575758,
|
186 |
+
"mmlu_eval_accuracy_philosophy": 0.4117647058823529,
|
187 |
+
"mmlu_eval_accuracy_prehistory": 0.42857142857142855,
|
188 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
189 |
+
"mmlu_eval_accuracy_professional_law": 0.32941176470588235,
|
190 |
+
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
|
191 |
+
"mmlu_eval_accuracy_professional_psychology": 0.391304347826087,
|
192 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
193 |
+
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
194 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
195 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
196 |
+
"mmlu_eval_accuracy_virology": 0.4444444444444444,
|
197 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
198 |
+
"mmlu_loss": 1.2187759077891358,
|
199 |
+
"step": 200
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.14,
|
203 |
+
"learning_rate": 0.0002,
|
204 |
+
"loss": 0.8902,
|
205 |
+
"step": 210
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.15,
|
209 |
+
"learning_rate": 0.0002,
|
210 |
+
"loss": 0.9119,
|
211 |
+
"step": 220
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.16,
|
215 |
+
"learning_rate": 0.0002,
|
216 |
+
"loss": 0.8849,
|
217 |
+
"step": 230
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.17,
|
221 |
+
"learning_rate": 0.0002,
|
222 |
+
"loss": 0.8345,
|
223 |
+
"step": 240
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 0.17,
|
227 |
+
"learning_rate": 0.0002,
|
228 |
+
"loss": 0.8418,
|
229 |
+
"step": 250
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 0.18,
|
233 |
+
"learning_rate": 0.0002,
|
234 |
+
"loss": 0.8305,
|
235 |
+
"step": 260
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.19,
|
239 |
+
"learning_rate": 0.0002,
|
240 |
+
"loss": 0.8525,
|
241 |
+
"step": 270
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.19,
|
245 |
+
"learning_rate": 0.0002,
|
246 |
+
"loss": 0.8523,
|
247 |
+
"step": 280
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.2,
|
251 |
+
"learning_rate": 0.0002,
|
252 |
+
"loss": 0.8511,
|
253 |
+
"step": 290
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.21,
|
257 |
+
"learning_rate": 0.0002,
|
258 |
+
"loss": 0.8297,
|
259 |
+
"step": 300
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 0.21,
|
263 |
+
"learning_rate": 0.0002,
|
264 |
+
"loss": 0.8213,
|
265 |
+
"step": 310
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.22,
|
269 |
+
"learning_rate": 0.0002,
|
270 |
+
"loss": 0.8225,
|
271 |
+
"step": 320
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.23,
|
275 |
+
"learning_rate": 0.0002,
|
276 |
+
"loss": 0.8359,
|
277 |
+
"step": 330
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 0.23,
|
281 |
+
"learning_rate": 0.0002,
|
282 |
+
"loss": 0.8326,
|
283 |
+
"step": 340
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.24,
|
287 |
+
"learning_rate": 0.0002,
|
288 |
+
"loss": 0.832,
|
289 |
+
"step": 350
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.25,
|
293 |
+
"learning_rate": 0.0002,
|
294 |
+
"loss": 0.8208,
|
295 |
+
"step": 360
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.25,
|
299 |
+
"learning_rate": 0.0002,
|
300 |
+
"loss": 0.8427,
|
301 |
+
"step": 370
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 0.26,
|
305 |
+
"learning_rate": 0.0002,
|
306 |
+
"loss": 0.8812,
|
307 |
+
"step": 380
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 0.27,
|
311 |
+
"learning_rate": 0.0002,
|
312 |
+
"loss": 0.9016,
|
313 |
+
"step": 390
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.28,
|
317 |
+
"learning_rate": 0.0002,
|
318 |
+
"loss": 0.8694,
|
319 |
+
"step": 400
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 0.28,
|
323 |
+
"eval_loss": 0.8468822240829468,
|
324 |
+
"eval_runtime": 189.8705,
|
325 |
+
"eval_samples_per_second": 5.267,
|
326 |
+
"eval_steps_per_second": 2.633,
|
327 |
+
"step": 400
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.28,
|
331 |
+
"mmlu_eval_accuracy": 0.45864815481629223,
|
332 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
333 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
334 |
+
"mmlu_eval_accuracy_astronomy": 0.375,
|
335 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
336 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
337 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
338 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
339 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
340 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
341 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
342 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
343 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
344 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
345 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
346 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.375,
|
347 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
348 |
+
"mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
|
349 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
350 |
+
"mmlu_eval_accuracy_high_school_biology": 0.34375,
|
351 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
|
352 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
353 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
354 |
+
"mmlu_eval_accuracy_high_school_geography": 0.6818181818181818,
|
355 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
356 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
|
357 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
|
358 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615,
|
359 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
360 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
|
361 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
|
362 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
363 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
|
364 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
365 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
366 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
367 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
368 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
369 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
370 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
371 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
372 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
373 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
374 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
375 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
376 |
+
"mmlu_eval_accuracy_nutrition": 0.5757575757575758,
|
377 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
378 |
+
"mmlu_eval_accuracy_prehistory": 0.42857142857142855,
|
379 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3870967741935484,
|
380 |
+
"mmlu_eval_accuracy_professional_law": 0.3588235294117647,
|
381 |
+
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
|
382 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
|
383 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
384 |
+
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
385 |
+
"mmlu_eval_accuracy_sociology": 0.5454545454545454,
|
386 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
|
387 |
+
"mmlu_eval_accuracy_virology": 0.4444444444444444,
|
388 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
389 |
+
"mmlu_loss": 0.9554785659084433,
|
390 |
+
"step": 400
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.28,
|
394 |
+
"learning_rate": 0.0002,
|
395 |
+
"loss": 0.8383,
|
396 |
+
"step": 410
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.29,
|
400 |
+
"learning_rate": 0.0002,
|
401 |
+
"loss": 0.8315,
|
402 |
+
"step": 420
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.3,
|
406 |
+
"learning_rate": 0.0002,
|
407 |
+
"loss": 0.8613,
|
408 |
+
"step": 430
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.3,
|
412 |
+
"learning_rate": 0.0002,
|
413 |
+
"loss": 0.865,
|
414 |
+
"step": 440
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.31,
|
418 |
+
"learning_rate": 0.0002,
|
419 |
+
"loss": 0.8028,
|
420 |
+
"step": 450
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 0.32,
|
424 |
+
"learning_rate": 0.0002,
|
425 |
+
"loss": 0.8557,
|
426 |
+
"step": 460
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.32,
|
430 |
+
"learning_rate": 0.0002,
|
431 |
+
"loss": 0.8834,
|
432 |
+
"step": 470
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.33,
|
436 |
+
"learning_rate": 0.0002,
|
437 |
+
"loss": 0.8468,
|
438 |
+
"step": 480
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.34,
|
442 |
+
"learning_rate": 0.0002,
|
443 |
+
"loss": 0.8556,
|
444 |
+
"step": 490
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.34,
|
448 |
+
"learning_rate": 0.0002,
|
449 |
+
"loss": 0.8591,
|
450 |
+
"step": 500
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.35,
|
454 |
+
"learning_rate": 0.0002,
|
455 |
+
"loss": 0.8683,
|
456 |
+
"step": 510
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.36,
|
460 |
+
"learning_rate": 0.0002,
|
461 |
+
"loss": 0.8278,
|
462 |
+
"step": 520
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 0.36,
|
466 |
+
"learning_rate": 0.0002,
|
467 |
+
"loss": 0.8208,
|
468 |
+
"step": 530
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.37,
|
472 |
+
"learning_rate": 0.0002,
|
473 |
+
"loss": 0.8372,
|
474 |
+
"step": 540
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.38,
|
478 |
+
"learning_rate": 0.0002,
|
479 |
+
"loss": 0.8144,
|
480 |
+
"step": 550
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.39,
|
484 |
+
"learning_rate": 0.0002,
|
485 |
+
"loss": 0.8783,
|
486 |
+
"step": 560
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.39,
|
490 |
+
"learning_rate": 0.0002,
|
491 |
+
"loss": 0.8337,
|
492 |
+
"step": 570
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.4,
|
496 |
+
"learning_rate": 0.0002,
|
497 |
+
"loss": 0.8572,
|
498 |
+
"step": 580
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.41,
|
502 |
+
"learning_rate": 0.0002,
|
503 |
+
"loss": 0.8275,
|
504 |
+
"step": 590
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.41,
|
508 |
+
"learning_rate": 0.0002,
|
509 |
+
"loss": 0.8599,
|
510 |
+
"step": 600
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 0.41,
|
514 |
+
"eval_loss": 0.84308922290802,
|
515 |
+
"eval_runtime": 189.8586,
|
516 |
+
"eval_samples_per_second": 5.267,
|
517 |
+
"eval_steps_per_second": 2.634,
|
518 |
+
"step": 600
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.41,
|
522 |
+
"mmlu_eval_accuracy": 0.45447446268908714,
|
523 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
524 |
+
"mmlu_eval_accuracy_anatomy": 0.5,
|
525 |
+
"mmlu_eval_accuracy_astronomy": 0.375,
|
526 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
527 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
528 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
529 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
530 |
+
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
|
531 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
532 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
533 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
534 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
535 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
|
536 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
537 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.375,
|
538 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
539 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
540 |
+
"mmlu_eval_accuracy_global_facts": 0.4,
|
541 |
+
"mmlu_eval_accuracy_high_school_biology": 0.3125,
|
542 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
|
543 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
|
544 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
545 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
|
546 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
547 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488,
|
548 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
|
549 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.23076923076923078,
|
550 |
+
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
|
551 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.6833333333333333,
|
552 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
553 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
|
554 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769,
|
555 |
+
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
556 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
557 |
+
"mmlu_eval_accuracy_international_law": 0.6923076923076923,
|
558 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
559 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
560 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
561 |
+
"mmlu_eval_accuracy_management": 0.45454545454545453,
|
562 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
563 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
564 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
565 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
566 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.22,
|
567 |
+
"mmlu_eval_accuracy_nutrition": 0.6363636363636364,
|
568 |
+
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
569 |
+
"mmlu_eval_accuracy_prehistory": 0.4,
|
570 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
571 |
+
"mmlu_eval_accuracy_professional_law": 0.3235294117647059,
|
572 |
+
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
|
573 |
+
"mmlu_eval_accuracy_professional_psychology": 0.43478260869565216,
|
574 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
575 |
+
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
576 |
+
"mmlu_eval_accuracy_sociology": 0.5454545454545454,
|
577 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
578 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
579 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
580 |
+
"mmlu_loss": 0.9984549878082449,
|
581 |
+
"step": 600
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 0.42,
|
585 |
+
"learning_rate": 0.0002,
|
586 |
+
"loss": 0.8279,
|
587 |
+
"step": 610
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.43,
|
591 |
+
"learning_rate": 0.0002,
|
592 |
+
"loss": 0.8363,
|
593 |
+
"step": 620
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.43,
|
597 |
+
"learning_rate": 0.0002,
|
598 |
+
"loss": 0.8698,
|
599 |
+
"step": 630
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.44,
|
603 |
+
"learning_rate": 0.0002,
|
604 |
+
"loss": 0.8407,
|
605 |
+
"step": 640
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.45,
|
609 |
+
"learning_rate": 0.0002,
|
610 |
+
"loss": 0.8555,
|
611 |
+
"step": 650
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.45,
|
615 |
+
"learning_rate": 0.0002,
|
616 |
+
"loss": 0.8393,
|
617 |
+
"step": 660
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.46,
|
621 |
+
"learning_rate": 0.0002,
|
622 |
+
"loss": 0.8527,
|
623 |
+
"step": 670
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 0.47,
|
627 |
+
"learning_rate": 0.0002,
|
628 |
+
"loss": 0.8666,
|
629 |
+
"step": 680
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.47,
|
633 |
+
"learning_rate": 0.0002,
|
634 |
+
"loss": 0.8584,
|
635 |
+
"step": 690
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 0.48,
|
639 |
+
"learning_rate": 0.0002,
|
640 |
+
"loss": 0.8583,
|
641 |
+
"step": 700
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.49,
|
645 |
+
"learning_rate": 0.0002,
|
646 |
+
"loss": 0.8524,
|
647 |
+
"step": 710
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.5,
|
651 |
+
"learning_rate": 0.0002,
|
652 |
+
"loss": 0.8543,
|
653 |
+
"step": 720
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.5,
|
657 |
+
"learning_rate": 0.0002,
|
658 |
+
"loss": 0.8687,
|
659 |
+
"step": 730
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 0.51,
|
663 |
+
"learning_rate": 0.0002,
|
664 |
+
"loss": 0.8593,
|
665 |
+
"step": 740
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.52,
|
669 |
+
"learning_rate": 0.0002,
|
670 |
+
"loss": 0.8365,
|
671 |
+
"step": 750
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.52,
|
675 |
+
"learning_rate": 0.0002,
|
676 |
+
"loss": 0.8718,
|
677 |
+
"step": 760
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 0.53,
|
681 |
+
"learning_rate": 0.0002,
|
682 |
+
"loss": 0.8362,
|
683 |
+
"step": 770
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.54,
|
687 |
+
"learning_rate": 0.0002,
|
688 |
+
"loss": 0.8114,
|
689 |
+
"step": 780
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.54,
|
693 |
+
"learning_rate": 0.0002,
|
694 |
+
"loss": 0.8611,
|
695 |
+
"step": 790
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.55,
|
699 |
+
"learning_rate": 0.0002,
|
700 |
+
"loss": 0.8521,
|
701 |
+
"step": 800
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 0.55,
|
705 |
+
"eval_loss": 0.8391241431236267,
|
706 |
+
"eval_runtime": 189.8022,
|
707 |
+
"eval_samples_per_second": 5.269,
|
708 |
+
"eval_steps_per_second": 2.634,
|
709 |
+
"step": 800
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.55,
|
713 |
+
"mmlu_eval_accuracy": 0.4694480562846655,
|
714 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
|
715 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
716 |
+
"mmlu_eval_accuracy_astronomy": 0.3125,
|
717 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
718 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
719 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
720 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
721 |
+
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
|
722 |
+
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
|
723 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
724 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
725 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
726 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
727 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
728 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
729 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
730 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
731 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
732 |
+
"mmlu_eval_accuracy_high_school_biology": 0.4375,
|
733 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
734 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
|
735 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444,
|
736 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
737 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
738 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
|
739 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
740 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
741 |
+
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
|
742 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
|
743 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
744 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
745 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
|
746 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
747 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
748 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
749 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
750 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
751 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
752 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
753 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
754 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
755 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
756 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
757 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
758 |
+
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
|
759 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
760 |
+
"mmlu_eval_accuracy_prehistory": 0.5428571428571428,
|
761 |
+
"mmlu_eval_accuracy_professional_accounting": 0.22580645161290322,
|
762 |
+
"mmlu_eval_accuracy_professional_law": 0.31176470588235294,
|
763 |
+
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
|
764 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
|
765 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
766 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
767 |
+
"mmlu_eval_accuracy_sociology": 0.7272727272727273,
|
768 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
769 |
+
"mmlu_eval_accuracy_virology": 0.3888888888888889,
|
770 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
771 |
+
"mmlu_loss": 1.0093606002337006,
|
772 |
+
"step": 800
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.56,
|
776 |
+
"learning_rate": 0.0002,
|
777 |
+
"loss": 0.838,
|
778 |
+
"step": 810
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 0.56,
|
782 |
+
"learning_rate": 0.0002,
|
783 |
+
"loss": 0.8401,
|
784 |
+
"step": 820
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 0.57,
|
788 |
+
"learning_rate": 0.0002,
|
789 |
+
"loss": 0.8401,
|
790 |
+
"step": 830
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 0.58,
|
794 |
+
"learning_rate": 0.0002,
|
795 |
+
"loss": 0.8148,
|
796 |
+
"step": 840
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 0.58,
|
800 |
+
"learning_rate": 0.0002,
|
801 |
+
"loss": 0.8555,
|
802 |
+
"step": 850
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 0.59,
|
806 |
+
"learning_rate": 0.0002,
|
807 |
+
"loss": 0.8392,
|
808 |
+
"step": 860
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.6,
|
812 |
+
"learning_rate": 0.0002,
|
813 |
+
"loss": 0.8361,
|
814 |
+
"step": 870
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.61,
|
818 |
+
"learning_rate": 0.0002,
|
819 |
+
"loss": 0.8647,
|
820 |
+
"step": 880
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 0.61,
|
824 |
+
"learning_rate": 0.0002,
|
825 |
+
"loss": 0.8365,
|
826 |
+
"step": 890
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 0.62,
|
830 |
+
"learning_rate": 0.0002,
|
831 |
+
"loss": 0.8224,
|
832 |
+
"step": 900
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 0.63,
|
836 |
+
"learning_rate": 0.0002,
|
837 |
+
"loss": 0.8661,
|
838 |
+
"step": 910
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 0.63,
|
842 |
+
"learning_rate": 0.0002,
|
843 |
+
"loss": 0.8654,
|
844 |
+
"step": 920
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 0.64,
|
848 |
+
"learning_rate": 0.0002,
|
849 |
+
"loss": 0.8116,
|
850 |
+
"step": 930
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 0.65,
|
854 |
+
"learning_rate": 0.0002,
|
855 |
+
"loss": 0.8467,
|
856 |
+
"step": 940
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.65,
|
860 |
+
"learning_rate": 0.0002,
|
861 |
+
"loss": 0.8295,
|
862 |
+
"step": 950
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 0.66,
|
866 |
+
"learning_rate": 0.0002,
|
867 |
+
"loss": 0.8249,
|
868 |
+
"step": 960
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 0.67,
|
872 |
+
"learning_rate": 0.0002,
|
873 |
+
"loss": 0.8384,
|
874 |
+
"step": 970
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 0.67,
|
878 |
+
"learning_rate": 0.0002,
|
879 |
+
"loss": 0.8545,
|
880 |
+
"step": 980
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"epoch": 0.68,
|
884 |
+
"learning_rate": 0.0002,
|
885 |
+
"loss": 0.8742,
|
886 |
+
"step": 990
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 0.69,
|
890 |
+
"learning_rate": 0.0002,
|
891 |
+
"loss": 0.8428,
|
892 |
+
"step": 1000
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 0.69,
|
896 |
+
"eval_loss": 0.8375168442726135,
|
897 |
+
"eval_runtime": 189.9373,
|
898 |
+
"eval_samples_per_second": 5.265,
|
899 |
+
"eval_steps_per_second": 2.632,
|
900 |
+
"step": 1000
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 0.69,
|
904 |
+
"mmlu_eval_accuracy": 0.4593129155936289,
|
905 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
906 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
907 |
+
"mmlu_eval_accuracy_astronomy": 0.3125,
|
908 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
909 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
910 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
911 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
912 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
913 |
+
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
|
914 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
915 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
916 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
917 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
918 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
919 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.375,
|
920 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
921 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
922 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
923 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
924 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
925 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
|
926 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
927 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
928 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
929 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
|
930 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
|
931 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077,
|
932 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
933 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
|
934 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
935 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
936 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
|
937 |
+
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
938 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
939 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
940 |
+
"mmlu_eval_accuracy_jurisprudence": 0.18181818181818182,
|
941 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
942 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
943 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
944 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
945 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
946 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
947 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
948 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
949 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
950 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
951 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
952 |
+
"mmlu_eval_accuracy_professional_accounting": 0.22580645161290322,
|
953 |
+
"mmlu_eval_accuracy_professional_law": 0.31176470588235294,
|
954 |
+
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
|
955 |
+
"mmlu_eval_accuracy_professional_psychology": 0.42028985507246375,
|
956 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
957 |
+
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
958 |
+
"mmlu_eval_accuracy_sociology": 0.5909090909090909,
|
959 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
|
960 |
+
"mmlu_eval_accuracy_virology": 0.4444444444444444,
|
961 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
962 |
+
"mmlu_loss": 0.9438855402152159,
|
963 |
+
"step": 1000
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.69,
|
967 |
+
"learning_rate": 0.0002,
|
968 |
+
"loss": 0.8748,
|
969 |
+
"step": 1010
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.7,
|
973 |
+
"learning_rate": 0.0002,
|
974 |
+
"loss": 0.8454,
|
975 |
+
"step": 1020
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.71,
|
979 |
+
"learning_rate": 0.0002,
|
980 |
+
"loss": 0.8076,
|
981 |
+
"step": 1030
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.72,
|
985 |
+
"learning_rate": 0.0002,
|
986 |
+
"loss": 0.8591,
|
987 |
+
"step": 1040
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.72,
|
991 |
+
"learning_rate": 0.0002,
|
992 |
+
"loss": 0.8583,
|
993 |
+
"step": 1050
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.73,
|
997 |
+
"learning_rate": 0.0002,
|
998 |
+
"loss": 0.8769,
|
999 |
+
"step": 1060
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.74,
|
1003 |
+
"learning_rate": 0.0002,
|
1004 |
+
"loss": 0.8433,
|
1005 |
+
"step": 1070
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.74,
|
1009 |
+
"learning_rate": 0.0002,
|
1010 |
+
"loss": 0.8534,
|
1011 |
+
"step": 1080
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.75,
|
1015 |
+
"learning_rate": 0.0002,
|
1016 |
+
"loss": 0.8332,
|
1017 |
+
"step": 1090
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.76,
|
1021 |
+
"learning_rate": 0.0002,
|
1022 |
+
"loss": 0.8177,
|
1023 |
+
"step": 1100
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.76,
|
1027 |
+
"learning_rate": 0.0002,
|
1028 |
+
"loss": 0.8254,
|
1029 |
+
"step": 1110
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.77,
|
1033 |
+
"learning_rate": 0.0002,
|
1034 |
+
"loss": 0.8064,
|
1035 |
+
"step": 1120
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.78,
|
1039 |
+
"learning_rate": 0.0002,
|
1040 |
+
"loss": 0.8945,
|
1041 |
+
"step": 1130
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.78,
|
1045 |
+
"learning_rate": 0.0002,
|
1046 |
+
"loss": 0.8316,
|
1047 |
+
"step": 1140
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.79,
|
1051 |
+
"learning_rate": 0.0002,
|
1052 |
+
"loss": 0.8611,
|
1053 |
+
"step": 1150
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.8,
|
1057 |
+
"learning_rate": 0.0002,
|
1058 |
+
"loss": 0.8823,
|
1059 |
+
"step": 1160
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.8,
|
1063 |
+
"learning_rate": 0.0002,
|
1064 |
+
"loss": 0.802,
|
1065 |
+
"step": 1170
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.81,
|
1069 |
+
"learning_rate": 0.0002,
|
1070 |
+
"loss": 0.8369,
|
1071 |
+
"step": 1180
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 0.82,
|
1075 |
+
"learning_rate": 0.0002,
|
1076 |
+
"loss": 0.8221,
|
1077 |
+
"step": 1190
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 0.83,
|
1081 |
+
"learning_rate": 0.0002,
|
1082 |
+
"loss": 0.8399,
|
1083 |
+
"step": 1200
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.83,
|
1087 |
+
"eval_loss": 0.8360938429832458,
|
1088 |
+
"eval_runtime": 189.9481,
|
1089 |
+
"eval_samples_per_second": 5.265,
|
1090 |
+
"eval_steps_per_second": 2.632,
|
1091 |
+
"step": 1200
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 0.83,
|
1095 |
+
"mmlu_eval_accuracy": 0.4603456641212963,
|
1096 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
1097 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
1098 |
+
"mmlu_eval_accuracy_astronomy": 0.3125,
|
1099 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
1100 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
1101 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
1102 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
1103 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
1104 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
1105 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
1106 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
1107 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
1108 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
1109 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
1110 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
1111 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683,
|
1112 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
1113 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
1114 |
+
"mmlu_eval_accuracy_high_school_biology": 0.4375,
|
1115 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
|
1116 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
|
1117 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
1118 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
1119 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
1120 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
|
1121 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
|
1122 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
|
1123 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
1124 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
|
1125 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
1126 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
1127 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5,
|
1128 |
+
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
1129 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
1130 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
1131 |
+
"mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
|
1132 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
1133 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
1134 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
1135 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
1136 |
+
"mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
|
1137 |
+
"mmlu_eval_accuracy_miscellaneous": 0.686046511627907,
|
1138 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
1139 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.26,
|
1140 |
+
"mmlu_eval_accuracy_nutrition": 0.5454545454545454,
|
1141 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
1142 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
1143 |
+
"mmlu_eval_accuracy_professional_accounting": 0.22580645161290322,
|
1144 |
+
"mmlu_eval_accuracy_professional_law": 0.3058823529411765,
|
1145 |
+
"mmlu_eval_accuracy_professional_medicine": 0.3870967741935484,
|
1146 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
|
1147 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
1148 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
1149 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
1150 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
|
1151 |
+
"mmlu_eval_accuracy_virology": 0.4444444444444444,
|
1152 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
1153 |
+
"mmlu_loss": 0.9296886657240653,
|
1154 |
+
"step": 1200
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.83,
|
1158 |
+
"learning_rate": 0.0002,
|
1159 |
+
"loss": 0.8106,
|
1160 |
+
"step": 1210
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.84,
|
1164 |
+
"learning_rate": 0.0002,
|
1165 |
+
"loss": 0.8498,
|
1166 |
+
"step": 1220
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 0.85,
|
1170 |
+
"learning_rate": 0.0002,
|
1171 |
+
"loss": 0.8757,
|
1172 |
+
"step": 1230
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.85,
|
1176 |
+
"learning_rate": 0.0002,
|
1177 |
+
"loss": 0.8307,
|
1178 |
+
"step": 1240
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.86,
|
1182 |
+
"learning_rate": 0.0002,
|
1183 |
+
"loss": 0.8217,
|
1184 |
+
"step": 1250
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 0.87,
|
1188 |
+
"learning_rate": 0.0002,
|
1189 |
+
"loss": 0.8409,
|
1190 |
+
"step": 1260
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 0.87,
|
1194 |
+
"learning_rate": 0.0002,
|
1195 |
+
"loss": 0.849,
|
1196 |
+
"step": 1270
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.88,
|
1200 |
+
"learning_rate": 0.0002,
|
1201 |
+
"loss": 0.8687,
|
1202 |
+
"step": 1280
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.89,
|
1206 |
+
"learning_rate": 0.0002,
|
1207 |
+
"loss": 0.8664,
|
1208 |
+
"step": 1290
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 0.89,
|
1212 |
+
"learning_rate": 0.0002,
|
1213 |
+
"loss": 0.8184,
|
1214 |
+
"step": 1300
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.9,
|
1218 |
+
"learning_rate": 0.0002,
|
1219 |
+
"loss": 0.8372,
|
1220 |
+
"step": 1310
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.91,
|
1224 |
+
"learning_rate": 0.0002,
|
1225 |
+
"loss": 0.8708,
|
1226 |
+
"step": 1320
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 0.92,
|
1230 |
+
"learning_rate": 0.0002,
|
1231 |
+
"loss": 0.8551,
|
1232 |
+
"step": 1330
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 0.92,
|
1236 |
+
"learning_rate": 0.0002,
|
1237 |
+
"loss": 0.8566,
|
1238 |
+
"step": 1340
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 0.93,
|
1242 |
+
"learning_rate": 0.0002,
|
1243 |
+
"loss": 0.8325,
|
1244 |
+
"step": 1350
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.94,
|
1248 |
+
"learning_rate": 0.0002,
|
1249 |
+
"loss": 0.8474,
|
1250 |
+
"step": 1360
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 0.94,
|
1254 |
+
"learning_rate": 0.0002,
|
1255 |
+
"loss": 0.802,
|
1256 |
+
"step": 1370
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 0.95,
|
1260 |
+
"learning_rate": 0.0002,
|
1261 |
+
"loss": 0.8185,
|
1262 |
+
"step": 1380
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.96,
|
1266 |
+
"learning_rate": 0.0002,
|
1267 |
+
"loss": 0.8681,
|
1268 |
+
"step": 1390
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 0.96,
|
1272 |
+
"learning_rate": 0.0002,
|
1273 |
+
"loss": 0.8103,
|
1274 |
+
"step": 1400
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 0.96,
|
1278 |
+
"eval_loss": 0.834297239780426,
|
1279 |
+
"eval_runtime": 189.9889,
|
1280 |
+
"eval_samples_per_second": 5.263,
|
1281 |
+
"eval_steps_per_second": 2.632,
|
1282 |
+
"step": 1400
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 0.96,
|
1286 |
+
"mmlu_eval_accuracy": 0.46764732076769827,
|
1287 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
1288 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
1289 |
+
"mmlu_eval_accuracy_astronomy": 0.3125,
|
1290 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
1291 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
1292 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
1293 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
1294 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
1295 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
1296 |
+
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
1297 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
1298 |
+
"mmlu_eval_accuracy_computer_security": 0.6363636363636364,
|
1299 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
1300 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
1301 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.4375,
|
1302 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
1303 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
1304 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
1305 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
1306 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
|
1307 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
|
1308 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
1309 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
1310 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
1311 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
|
1312 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
1313 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
1314 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
1315 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667,
|
1316 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216,
|
1317 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
1318 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
|
1319 |
+
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
1320 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
1321 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
1322 |
+
"mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
|
1323 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
1324 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
1325 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
1326 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
1327 |
+
"mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
|
1328 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
1329 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
1330 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
1331 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
1332 |
+
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
1333 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
1334 |
+
"mmlu_eval_accuracy_professional_accounting": 0.1935483870967742,
|
1335 |
+
"mmlu_eval_accuracy_professional_law": 0.3176470588235294,
|
1336 |
+
"mmlu_eval_accuracy_professional_medicine": 0.3870967741935484,
|
1337 |
+
"mmlu_eval_accuracy_professional_psychology": 0.42028985507246375,
|
1338 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
1339 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
1340 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
1341 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.45454545454545453,
|
1342 |
+
"mmlu_eval_accuracy_virology": 0.4444444444444444,
|
1343 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
1344 |
+
"mmlu_loss": 0.890019636367771,
|
1345 |
+
"step": 1400
|
1346 |
+
}
|
1347 |
+
],
|
1348 |
+
"max_steps": 5000,
|
1349 |
+
"num_train_epochs": 4,
|
1350 |
+
"total_flos": 2.5294011572595917e+17,
|
1351 |
+
"trial_name": null,
|
1352 |
+
"trial_params": null
|
1353 |
+
}
|
checkpoint-1400/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c0932e1068e6c603217c581d0394ebfe8507d5a833b5c14738371df28a02c94
|
3 |
+
size 6011
|