Farouk
commited on
Commit
β’
7d822d7
1
Parent(s):
069c9a6
Training in progress, step 6800
Browse files- adapter_model.bin +1 -1
- checkpoint-6200/adapter_model/adapter_model/README.md +12 -0
- checkpoint-6200/adapter_model/adapter_model/adapter_model.bin +1 -1
- {checkpoint-4600 β checkpoint-6800}/README.md +0 -0
- {checkpoint-4600 β checkpoint-6800}/adapter_config.json +0 -0
- {checkpoint-4600 β checkpoint-6800}/adapter_model.bin +1 -1
- {checkpoint-4600 β checkpoint-6800}/added_tokens.json +0 -0
- {checkpoint-4600 β checkpoint-6800}/optimizer.pt +1 -1
- {checkpoint-4600 β checkpoint-6800}/rng_state.pth +1 -1
- {checkpoint-4600 β checkpoint-6800}/scheduler.pt +1 -1
- {checkpoint-4600 β checkpoint-6800}/special_tokens_map.json +0 -0
- {checkpoint-4600 β checkpoint-6800}/tokenizer.model +0 -0
- {checkpoint-4600 β checkpoint-6800}/tokenizer_config.json +0 -0
- {checkpoint-4600 β checkpoint-6800}/trainer_state.json +2106 -5
- {checkpoint-4600 β checkpoint-6800}/training_args.bin +0 -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:c675a65b503e840f932e3f288b4376af802192b8e5716a5c912624986d493663
|
3 |
size 319977229
|
checkpoint-6200/adapter_model/adapter_model/README.md
CHANGED
@@ -15,6 +15,17 @@ The following `bitsandbytes` quantization config was used during training:
|
|
15 |
- bnb_4bit_use_double_quant: True
|
16 |
- bnb_4bit_compute_dtype: bfloat16
|
17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
18 |
The following `bitsandbytes` quantization config was used during training:
|
19 |
- load_in_8bit: False
|
20 |
- load_in_4bit: True
|
@@ -27,6 +38,7 @@ The following `bitsandbytes` quantization config was used during training:
|
|
27 |
- bnb_4bit_compute_dtype: bfloat16
|
28 |
### Framework versions
|
29 |
|
|
|
30 |
- PEFT 0.4.0
|
31 |
|
32 |
- PEFT 0.4.0
|
|
|
15 |
- bnb_4bit_use_double_quant: True
|
16 |
- bnb_4bit_compute_dtype: bfloat16
|
17 |
|
18 |
+
The following `bitsandbytes` quantization config was used during training:
|
19 |
+
- load_in_8bit: False
|
20 |
+
- load_in_4bit: True
|
21 |
+
- llm_int8_threshold: 6.0
|
22 |
+
- llm_int8_skip_modules: None
|
23 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
24 |
+
- llm_int8_has_fp16_weight: False
|
25 |
+
- bnb_4bit_quant_type: nf4
|
26 |
+
- bnb_4bit_use_double_quant: True
|
27 |
+
- bnb_4bit_compute_dtype: bfloat16
|
28 |
+
|
29 |
The following `bitsandbytes` quantization config was used during training:
|
30 |
- load_in_8bit: False
|
31 |
- load_in_4bit: True
|
|
|
38 |
- bnb_4bit_compute_dtype: bfloat16
|
39 |
### Framework versions
|
40 |
|
41 |
+
- PEFT 0.4.0
|
42 |
- PEFT 0.4.0
|
43 |
|
44 |
- PEFT 0.4.0
|
checkpoint-6200/adapter_model/adapter_model/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 sha256:090f6e32bb7c4c942fa608e54265ef2f1067bc9ac96a5898018c9b770aa4dd77
|
3 |
size 319977229
|
{checkpoint-4600 β checkpoint-6800}/README.md
RENAMED
File without changes
|
{checkpoint-4600 β checkpoint-6800}/adapter_config.json
RENAMED
File without changes
|
{checkpoint-4600 β checkpoint-6800}/adapter_model.bin
RENAMED
@@ -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:c675a65b503e840f932e3f288b4376af802192b8e5716a5c912624986d493663
|
3 |
size 319977229
|
{checkpoint-4600 β checkpoint-6800}/added_tokens.json
RENAMED
File without changes
|
{checkpoint-4600 β checkpoint-6800}/optimizer.pt
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1279539973
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bcfe5c0dc981023dcc95e882a56f5d526c81ec3b6dff58bcb2b4ae6044cb2421
|
3 |
size 1279539973
|
{checkpoint-4600 β checkpoint-6800}/rng_state.pth
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14511
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aaab1c5969cc1815061209603b2ae34c3218f1c4cc09d08b060fdcc99de82d46
|
3 |
size 14511
|
{checkpoint-4600 β checkpoint-6800}/scheduler.pt
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 627
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:97c7e7304629a0d5b32d77774ba8769b4783d1dab8e735fe47e12df568c740c2
|
3 |
size 627
|
{checkpoint-4600 β checkpoint-6800}/special_tokens_map.json
RENAMED
File without changes
|
{checkpoint-4600 β checkpoint-6800}/tokenizer.model
RENAMED
File without changes
|
{checkpoint-4600 β checkpoint-6800}/tokenizer_config.json
RENAMED
File without changes
|
{checkpoint-4600 β checkpoint-6800}/trainer_state.json
RENAMED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "experts/expert-16/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
@@ -4399,11 +4399,2112 @@
|
|
4399 |
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
4400 |
"mmlu_loss": 1.3095654961567946,
|
4401 |
"step": 4600
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4402 |
}
|
4403 |
],
|
4404 |
"max_steps": 10000,
|
4405 |
"num_train_epochs": 4,
|
4406 |
-
"total_flos":
|
4407 |
"trial_name": null,
|
4408 |
"trial_params": null
|
4409 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.7293602228164673,
|
3 |
+
"best_model_checkpoint": "experts/expert-16/checkpoint-6200",
|
4 |
+
"epoch": 2.1546261089987326,
|
5 |
+
"global_step": 6800,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
|
|
4399 |
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
4400 |
"mmlu_loss": 1.3095654961567946,
|
4401 |
"step": 4600
|
4402 |
+
},
|
4403 |
+
{
|
4404 |
+
"epoch": 1.46,
|
4405 |
+
"learning_rate": 0.0002,
|
4406 |
+
"loss": 0.6486,
|
4407 |
+
"step": 4610
|
4408 |
+
},
|
4409 |
+
{
|
4410 |
+
"epoch": 1.46,
|
4411 |
+
"learning_rate": 0.0002,
|
4412 |
+
"loss": 0.6999,
|
4413 |
+
"step": 4620
|
4414 |
+
},
|
4415 |
+
{
|
4416 |
+
"epoch": 1.47,
|
4417 |
+
"learning_rate": 0.0002,
|
4418 |
+
"loss": 0.6458,
|
4419 |
+
"step": 4630
|
4420 |
+
},
|
4421 |
+
{
|
4422 |
+
"epoch": 1.47,
|
4423 |
+
"learning_rate": 0.0002,
|
4424 |
+
"loss": 0.6762,
|
4425 |
+
"step": 4640
|
4426 |
+
},
|
4427 |
+
{
|
4428 |
+
"epoch": 1.47,
|
4429 |
+
"learning_rate": 0.0002,
|
4430 |
+
"loss": 0.6924,
|
4431 |
+
"step": 4650
|
4432 |
+
},
|
4433 |
+
{
|
4434 |
+
"epoch": 1.48,
|
4435 |
+
"learning_rate": 0.0002,
|
4436 |
+
"loss": 0.682,
|
4437 |
+
"step": 4660
|
4438 |
+
},
|
4439 |
+
{
|
4440 |
+
"epoch": 1.48,
|
4441 |
+
"learning_rate": 0.0002,
|
4442 |
+
"loss": 0.7081,
|
4443 |
+
"step": 4670
|
4444 |
+
},
|
4445 |
+
{
|
4446 |
+
"epoch": 1.48,
|
4447 |
+
"learning_rate": 0.0002,
|
4448 |
+
"loss": 0.7506,
|
4449 |
+
"step": 4680
|
4450 |
+
},
|
4451 |
+
{
|
4452 |
+
"epoch": 1.49,
|
4453 |
+
"learning_rate": 0.0002,
|
4454 |
+
"loss": 0.7311,
|
4455 |
+
"step": 4690
|
4456 |
+
},
|
4457 |
+
{
|
4458 |
+
"epoch": 1.49,
|
4459 |
+
"learning_rate": 0.0002,
|
4460 |
+
"loss": 0.6463,
|
4461 |
+
"step": 4700
|
4462 |
+
},
|
4463 |
+
{
|
4464 |
+
"epoch": 1.49,
|
4465 |
+
"learning_rate": 0.0002,
|
4466 |
+
"loss": 0.6741,
|
4467 |
+
"step": 4710
|
4468 |
+
},
|
4469 |
+
{
|
4470 |
+
"epoch": 1.5,
|
4471 |
+
"learning_rate": 0.0002,
|
4472 |
+
"loss": 0.6626,
|
4473 |
+
"step": 4720
|
4474 |
+
},
|
4475 |
+
{
|
4476 |
+
"epoch": 1.5,
|
4477 |
+
"learning_rate": 0.0002,
|
4478 |
+
"loss": 0.712,
|
4479 |
+
"step": 4730
|
4480 |
+
},
|
4481 |
+
{
|
4482 |
+
"epoch": 1.5,
|
4483 |
+
"learning_rate": 0.0002,
|
4484 |
+
"loss": 0.6676,
|
4485 |
+
"step": 4740
|
4486 |
+
},
|
4487 |
+
{
|
4488 |
+
"epoch": 1.51,
|
4489 |
+
"learning_rate": 0.0002,
|
4490 |
+
"loss": 0.7193,
|
4491 |
+
"step": 4750
|
4492 |
+
},
|
4493 |
+
{
|
4494 |
+
"epoch": 1.51,
|
4495 |
+
"learning_rate": 0.0002,
|
4496 |
+
"loss": 0.6699,
|
4497 |
+
"step": 4760
|
4498 |
+
},
|
4499 |
+
{
|
4500 |
+
"epoch": 1.51,
|
4501 |
+
"learning_rate": 0.0002,
|
4502 |
+
"loss": 0.6718,
|
4503 |
+
"step": 4770
|
4504 |
+
},
|
4505 |
+
{
|
4506 |
+
"epoch": 1.51,
|
4507 |
+
"learning_rate": 0.0002,
|
4508 |
+
"loss": 0.6899,
|
4509 |
+
"step": 4780
|
4510 |
+
},
|
4511 |
+
{
|
4512 |
+
"epoch": 1.52,
|
4513 |
+
"learning_rate": 0.0002,
|
4514 |
+
"loss": 0.6954,
|
4515 |
+
"step": 4790
|
4516 |
+
},
|
4517 |
+
{
|
4518 |
+
"epoch": 1.52,
|
4519 |
+
"learning_rate": 0.0002,
|
4520 |
+
"loss": 0.7187,
|
4521 |
+
"step": 4800
|
4522 |
+
},
|
4523 |
+
{
|
4524 |
+
"epoch": 1.52,
|
4525 |
+
"eval_loss": 0.7387924790382385,
|
4526 |
+
"eval_runtime": 111.1141,
|
4527 |
+
"eval_samples_per_second": 9.0,
|
4528 |
+
"eval_steps_per_second": 4.5,
|
4529 |
+
"step": 4800
|
4530 |
+
},
|
4531 |
+
{
|
4532 |
+
"epoch": 1.52,
|
4533 |
+
"mmlu_eval_accuracy": 0.4879926358283337,
|
4534 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
4535 |
+
"mmlu_eval_accuracy_anatomy": 0.7142857142857143,
|
4536 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
4537 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
4538 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
4539 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
4540 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
4541 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
4542 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
4543 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
4544 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
4545 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
4546 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
4547 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
4548 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
4549 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
4550 |
+
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
4551 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
4552 |
+
"mmlu_eval_accuracy_high_school_biology": 0.46875,
|
4553 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182,
|
4554 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
4555 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
4556 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
4557 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238,
|
4558 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442,
|
4559 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862,
|
4560 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384,
|
4561 |
+
"mmlu_eval_accuracy_high_school_physics": 0.058823529411764705,
|
4562 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
4563 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
|
4564 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909,
|
4565 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
4566 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
4567 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
4568 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
4569 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
4570 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
4571 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
4572 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
4573 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
4574 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
4575 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
4576 |
+
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
|
4577 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
4578 |
+
"mmlu_eval_accuracy_nutrition": 0.696969696969697,
|
4579 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
4580 |
+
"mmlu_eval_accuracy_prehistory": 0.5428571428571428,
|
4581 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
|
4582 |
+
"mmlu_eval_accuracy_professional_law": 0.31176470588235294,
|
4583 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
4584 |
+
"mmlu_eval_accuracy_professional_psychology": 0.463768115942029,
|
4585 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
4586 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
4587 |
+
"mmlu_eval_accuracy_sociology": 0.5909090909090909,
|
4588 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
4589 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
4590 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
4591 |
+
"mmlu_loss": 1.4884750641901874,
|
4592 |
+
"step": 4800
|
4593 |
+
},
|
4594 |
+
{
|
4595 |
+
"epoch": 1.52,
|
4596 |
+
"learning_rate": 0.0002,
|
4597 |
+
"loss": 0.6733,
|
4598 |
+
"step": 4810
|
4599 |
+
},
|
4600 |
+
{
|
4601 |
+
"epoch": 1.53,
|
4602 |
+
"learning_rate": 0.0002,
|
4603 |
+
"loss": 0.6607,
|
4604 |
+
"step": 4820
|
4605 |
+
},
|
4606 |
+
{
|
4607 |
+
"epoch": 1.53,
|
4608 |
+
"learning_rate": 0.0002,
|
4609 |
+
"loss": 0.6933,
|
4610 |
+
"step": 4830
|
4611 |
+
},
|
4612 |
+
{
|
4613 |
+
"epoch": 1.53,
|
4614 |
+
"learning_rate": 0.0002,
|
4615 |
+
"loss": 0.7517,
|
4616 |
+
"step": 4840
|
4617 |
+
},
|
4618 |
+
{
|
4619 |
+
"epoch": 1.54,
|
4620 |
+
"learning_rate": 0.0002,
|
4621 |
+
"loss": 0.7391,
|
4622 |
+
"step": 4850
|
4623 |
+
},
|
4624 |
+
{
|
4625 |
+
"epoch": 1.54,
|
4626 |
+
"learning_rate": 0.0002,
|
4627 |
+
"loss": 0.6636,
|
4628 |
+
"step": 4860
|
4629 |
+
},
|
4630 |
+
{
|
4631 |
+
"epoch": 1.54,
|
4632 |
+
"learning_rate": 0.0002,
|
4633 |
+
"loss": 0.7221,
|
4634 |
+
"step": 4870
|
4635 |
+
},
|
4636 |
+
{
|
4637 |
+
"epoch": 1.55,
|
4638 |
+
"learning_rate": 0.0002,
|
4639 |
+
"loss": 0.6967,
|
4640 |
+
"step": 4880
|
4641 |
+
},
|
4642 |
+
{
|
4643 |
+
"epoch": 1.55,
|
4644 |
+
"learning_rate": 0.0002,
|
4645 |
+
"loss": 0.7117,
|
4646 |
+
"step": 4890
|
4647 |
+
},
|
4648 |
+
{
|
4649 |
+
"epoch": 1.55,
|
4650 |
+
"learning_rate": 0.0002,
|
4651 |
+
"loss": 0.6256,
|
4652 |
+
"step": 4900
|
4653 |
+
},
|
4654 |
+
{
|
4655 |
+
"epoch": 1.56,
|
4656 |
+
"learning_rate": 0.0002,
|
4657 |
+
"loss": 0.7923,
|
4658 |
+
"step": 4910
|
4659 |
+
},
|
4660 |
+
{
|
4661 |
+
"epoch": 1.56,
|
4662 |
+
"learning_rate": 0.0002,
|
4663 |
+
"loss": 0.7151,
|
4664 |
+
"step": 4920
|
4665 |
+
},
|
4666 |
+
{
|
4667 |
+
"epoch": 1.56,
|
4668 |
+
"learning_rate": 0.0002,
|
4669 |
+
"loss": 0.7119,
|
4670 |
+
"step": 4930
|
4671 |
+
},
|
4672 |
+
{
|
4673 |
+
"epoch": 1.57,
|
4674 |
+
"learning_rate": 0.0002,
|
4675 |
+
"loss": 0.7105,
|
4676 |
+
"step": 4940
|
4677 |
+
},
|
4678 |
+
{
|
4679 |
+
"epoch": 1.57,
|
4680 |
+
"learning_rate": 0.0002,
|
4681 |
+
"loss": 0.6653,
|
4682 |
+
"step": 4950
|
4683 |
+
},
|
4684 |
+
{
|
4685 |
+
"epoch": 1.57,
|
4686 |
+
"learning_rate": 0.0002,
|
4687 |
+
"loss": 0.7084,
|
4688 |
+
"step": 4960
|
4689 |
+
},
|
4690 |
+
{
|
4691 |
+
"epoch": 1.57,
|
4692 |
+
"learning_rate": 0.0002,
|
4693 |
+
"loss": 0.6644,
|
4694 |
+
"step": 4970
|
4695 |
+
},
|
4696 |
+
{
|
4697 |
+
"epoch": 1.58,
|
4698 |
+
"learning_rate": 0.0002,
|
4699 |
+
"loss": 0.6665,
|
4700 |
+
"step": 4980
|
4701 |
+
},
|
4702 |
+
{
|
4703 |
+
"epoch": 1.58,
|
4704 |
+
"learning_rate": 0.0002,
|
4705 |
+
"loss": 0.6746,
|
4706 |
+
"step": 4990
|
4707 |
+
},
|
4708 |
+
{
|
4709 |
+
"epoch": 1.58,
|
4710 |
+
"learning_rate": 0.0002,
|
4711 |
+
"loss": 0.7223,
|
4712 |
+
"step": 5000
|
4713 |
+
},
|
4714 |
+
{
|
4715 |
+
"epoch": 1.58,
|
4716 |
+
"eval_loss": 0.7373215556144714,
|
4717 |
+
"eval_runtime": 111.2649,
|
4718 |
+
"eval_samples_per_second": 8.988,
|
4719 |
+
"eval_steps_per_second": 4.494,
|
4720 |
+
"step": 5000
|
4721 |
+
},
|
4722 |
+
{
|
4723 |
+
"epoch": 1.58,
|
4724 |
+
"mmlu_eval_accuracy": 0.46701126611778865,
|
4725 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
4726 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
4727 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
4728 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
4729 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
4730 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
4731 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
4732 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
4733 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
4734 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
4735 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
4736 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
4737 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
4738 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
4739 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
4740 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
4741 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
4742 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
4743 |
+
"mmlu_eval_accuracy_high_school_biology": 0.34375,
|
4744 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182,
|
4745 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
4746 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
4747 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
|
4748 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
4749 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
|
4750 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
4751 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
|
4752 |
+
"mmlu_eval_accuracy_high_school_physics": 0.058823529411764705,
|
4753 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333,
|
4754 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
|
4755 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
4756 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
4757 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
4758 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
4759 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
4760 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
4761 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
4762 |
+
"mmlu_eval_accuracy_machine_learning": 0.09090909090909091,
|
4763 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
4764 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
4765 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
4766 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
4767 |
+
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
|
4768 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
4769 |
+
"mmlu_eval_accuracy_nutrition": 0.6363636363636364,
|
4770 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
4771 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
4772 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
|
4773 |
+
"mmlu_eval_accuracy_professional_law": 0.3235294117647059,
|
4774 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5806451612903226,
|
4775 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
4776 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
4777 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
4778 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
4779 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
4780 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
4781 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
4782 |
+
"mmlu_loss": 1.4578603010031324,
|
4783 |
+
"step": 5000
|
4784 |
+
},
|
4785 |
+
{
|
4786 |
+
"epoch": 1.59,
|
4787 |
+
"learning_rate": 0.0002,
|
4788 |
+
"loss": 0.6833,
|
4789 |
+
"step": 5010
|
4790 |
+
},
|
4791 |
+
{
|
4792 |
+
"epoch": 1.59,
|
4793 |
+
"learning_rate": 0.0002,
|
4794 |
+
"loss": 0.7323,
|
4795 |
+
"step": 5020
|
4796 |
+
},
|
4797 |
+
{
|
4798 |
+
"epoch": 1.59,
|
4799 |
+
"learning_rate": 0.0002,
|
4800 |
+
"loss": 0.7224,
|
4801 |
+
"step": 5030
|
4802 |
+
},
|
4803 |
+
{
|
4804 |
+
"epoch": 1.6,
|
4805 |
+
"learning_rate": 0.0002,
|
4806 |
+
"loss": 0.734,
|
4807 |
+
"step": 5040
|
4808 |
+
},
|
4809 |
+
{
|
4810 |
+
"epoch": 1.6,
|
4811 |
+
"learning_rate": 0.0002,
|
4812 |
+
"loss": 0.692,
|
4813 |
+
"step": 5050
|
4814 |
+
},
|
4815 |
+
{
|
4816 |
+
"epoch": 1.6,
|
4817 |
+
"learning_rate": 0.0002,
|
4818 |
+
"loss": 0.7083,
|
4819 |
+
"step": 5060
|
4820 |
+
},
|
4821 |
+
{
|
4822 |
+
"epoch": 1.61,
|
4823 |
+
"learning_rate": 0.0002,
|
4824 |
+
"loss": 0.6993,
|
4825 |
+
"step": 5070
|
4826 |
+
},
|
4827 |
+
{
|
4828 |
+
"epoch": 1.61,
|
4829 |
+
"learning_rate": 0.0002,
|
4830 |
+
"loss": 0.755,
|
4831 |
+
"step": 5080
|
4832 |
+
},
|
4833 |
+
{
|
4834 |
+
"epoch": 1.61,
|
4835 |
+
"learning_rate": 0.0002,
|
4836 |
+
"loss": 0.7323,
|
4837 |
+
"step": 5090
|
4838 |
+
},
|
4839 |
+
{
|
4840 |
+
"epoch": 1.62,
|
4841 |
+
"learning_rate": 0.0002,
|
4842 |
+
"loss": 0.6725,
|
4843 |
+
"step": 5100
|
4844 |
+
},
|
4845 |
+
{
|
4846 |
+
"epoch": 1.62,
|
4847 |
+
"learning_rate": 0.0002,
|
4848 |
+
"loss": 0.6989,
|
4849 |
+
"step": 5110
|
4850 |
+
},
|
4851 |
+
{
|
4852 |
+
"epoch": 1.62,
|
4853 |
+
"learning_rate": 0.0002,
|
4854 |
+
"loss": 0.6938,
|
4855 |
+
"step": 5120
|
4856 |
+
},
|
4857 |
+
{
|
4858 |
+
"epoch": 1.63,
|
4859 |
+
"learning_rate": 0.0002,
|
4860 |
+
"loss": 0.6895,
|
4861 |
+
"step": 5130
|
4862 |
+
},
|
4863 |
+
{
|
4864 |
+
"epoch": 1.63,
|
4865 |
+
"learning_rate": 0.0002,
|
4866 |
+
"loss": 0.6915,
|
4867 |
+
"step": 5140
|
4868 |
+
},
|
4869 |
+
{
|
4870 |
+
"epoch": 1.63,
|
4871 |
+
"learning_rate": 0.0002,
|
4872 |
+
"loss": 0.7672,
|
4873 |
+
"step": 5150
|
4874 |
+
},
|
4875 |
+
{
|
4876 |
+
"epoch": 1.63,
|
4877 |
+
"learning_rate": 0.0002,
|
4878 |
+
"loss": 0.6413,
|
4879 |
+
"step": 5160
|
4880 |
+
},
|
4881 |
+
{
|
4882 |
+
"epoch": 1.64,
|
4883 |
+
"learning_rate": 0.0002,
|
4884 |
+
"loss": 0.7195,
|
4885 |
+
"step": 5170
|
4886 |
+
},
|
4887 |
+
{
|
4888 |
+
"epoch": 1.64,
|
4889 |
+
"learning_rate": 0.0002,
|
4890 |
+
"loss": 0.6783,
|
4891 |
+
"step": 5180
|
4892 |
+
},
|
4893 |
+
{
|
4894 |
+
"epoch": 1.64,
|
4895 |
+
"learning_rate": 0.0002,
|
4896 |
+
"loss": 0.6457,
|
4897 |
+
"step": 5190
|
4898 |
+
},
|
4899 |
+
{
|
4900 |
+
"epoch": 1.65,
|
4901 |
+
"learning_rate": 0.0002,
|
4902 |
+
"loss": 0.6959,
|
4903 |
+
"step": 5200
|
4904 |
+
},
|
4905 |
+
{
|
4906 |
+
"epoch": 1.65,
|
4907 |
+
"eval_loss": 0.736714243888855,
|
4908 |
+
"eval_runtime": 111.0389,
|
4909 |
+
"eval_samples_per_second": 9.006,
|
4910 |
+
"eval_steps_per_second": 4.503,
|
4911 |
+
"step": 5200
|
4912 |
+
},
|
4913 |
+
{
|
4914 |
+
"epoch": 1.65,
|
4915 |
+
"mmlu_eval_accuracy": 0.4835750759985151,
|
4916 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
4917 |
+
"mmlu_eval_accuracy_anatomy": 0.7857142857142857,
|
4918 |
+
"mmlu_eval_accuracy_astronomy": 0.375,
|
4919 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
4920 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
4921 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
4922 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
4923 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
4924 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
4925 |
+
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
4926 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
4927 |
+
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
|
4928 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
4929 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
4930 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
4931 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536,
|
4932 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
4933 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
4934 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
4935 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182,
|
4936 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
4937 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
4938 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
|
4939 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
4940 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
|
4941 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
4942 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
4943 |
+
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
|
4944 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.85,
|
4945 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
4946 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
4947 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
4948 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
4949 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
4950 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
4951 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
4952 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
4953 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
4954 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
4955 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
4956 |
+
"mmlu_eval_accuracy_medical_genetics": 0.8181818181818182,
|
4957 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
4958 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
4959 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
4960 |
+
"mmlu_eval_accuracy_nutrition": 0.696969696969697,
|
4961 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
4962 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
4963 |
+
"mmlu_eval_accuracy_professional_accounting": 0.22580645161290322,
|
4964 |
+
"mmlu_eval_accuracy_professional_law": 0.3058823529411765,
|
4965 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
4966 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
4967 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
4968 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
4969 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
4970 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
4971 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
4972 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
4973 |
+
"mmlu_loss": 1.2928575183564004,
|
4974 |
+
"step": 5200
|
4975 |
+
},
|
4976 |
+
{
|
4977 |
+
"epoch": 1.65,
|
4978 |
+
"learning_rate": 0.0002,
|
4979 |
+
"loss": 0.654,
|
4980 |
+
"step": 5210
|
4981 |
+
},
|
4982 |
+
{
|
4983 |
+
"epoch": 1.65,
|
4984 |
+
"learning_rate": 0.0002,
|
4985 |
+
"loss": 0.692,
|
4986 |
+
"step": 5220
|
4987 |
+
},
|
4988 |
+
{
|
4989 |
+
"epoch": 1.66,
|
4990 |
+
"learning_rate": 0.0002,
|
4991 |
+
"loss": 0.6774,
|
4992 |
+
"step": 5230
|
4993 |
+
},
|
4994 |
+
{
|
4995 |
+
"epoch": 1.66,
|
4996 |
+
"learning_rate": 0.0002,
|
4997 |
+
"loss": 0.6383,
|
4998 |
+
"step": 5240
|
4999 |
+
},
|
5000 |
+
{
|
5001 |
+
"epoch": 1.66,
|
5002 |
+
"learning_rate": 0.0002,
|
5003 |
+
"loss": 0.6949,
|
5004 |
+
"step": 5250
|
5005 |
+
},
|
5006 |
+
{
|
5007 |
+
"epoch": 1.67,
|
5008 |
+
"learning_rate": 0.0002,
|
5009 |
+
"loss": 0.6992,
|
5010 |
+
"step": 5260
|
5011 |
+
},
|
5012 |
+
{
|
5013 |
+
"epoch": 1.67,
|
5014 |
+
"learning_rate": 0.0002,
|
5015 |
+
"loss": 0.6612,
|
5016 |
+
"step": 5270
|
5017 |
+
},
|
5018 |
+
{
|
5019 |
+
"epoch": 1.67,
|
5020 |
+
"learning_rate": 0.0002,
|
5021 |
+
"loss": 0.7651,
|
5022 |
+
"step": 5280
|
5023 |
+
},
|
5024 |
+
{
|
5025 |
+
"epoch": 1.68,
|
5026 |
+
"learning_rate": 0.0002,
|
5027 |
+
"loss": 0.6994,
|
5028 |
+
"step": 5290
|
5029 |
+
},
|
5030 |
+
{
|
5031 |
+
"epoch": 1.68,
|
5032 |
+
"learning_rate": 0.0002,
|
5033 |
+
"loss": 0.7105,
|
5034 |
+
"step": 5300
|
5035 |
+
},
|
5036 |
+
{
|
5037 |
+
"epoch": 1.68,
|
5038 |
+
"learning_rate": 0.0002,
|
5039 |
+
"loss": 0.6972,
|
5040 |
+
"step": 5310
|
5041 |
+
},
|
5042 |
+
{
|
5043 |
+
"epoch": 1.69,
|
5044 |
+
"learning_rate": 0.0002,
|
5045 |
+
"loss": 0.7531,
|
5046 |
+
"step": 5320
|
5047 |
+
},
|
5048 |
+
{
|
5049 |
+
"epoch": 1.69,
|
5050 |
+
"learning_rate": 0.0002,
|
5051 |
+
"loss": 0.7072,
|
5052 |
+
"step": 5330
|
5053 |
+
},
|
5054 |
+
{
|
5055 |
+
"epoch": 1.69,
|
5056 |
+
"learning_rate": 0.0002,
|
5057 |
+
"loss": 0.6964,
|
5058 |
+
"step": 5340
|
5059 |
+
},
|
5060 |
+
{
|
5061 |
+
"epoch": 1.7,
|
5062 |
+
"learning_rate": 0.0002,
|
5063 |
+
"loss": 0.7574,
|
5064 |
+
"step": 5350
|
5065 |
+
},
|
5066 |
+
{
|
5067 |
+
"epoch": 1.7,
|
5068 |
+
"learning_rate": 0.0002,
|
5069 |
+
"loss": 0.7155,
|
5070 |
+
"step": 5360
|
5071 |
+
},
|
5072 |
+
{
|
5073 |
+
"epoch": 1.7,
|
5074 |
+
"learning_rate": 0.0002,
|
5075 |
+
"loss": 0.7104,
|
5076 |
+
"step": 5370
|
5077 |
+
},
|
5078 |
+
{
|
5079 |
+
"epoch": 1.7,
|
5080 |
+
"learning_rate": 0.0002,
|
5081 |
+
"loss": 0.7495,
|
5082 |
+
"step": 5380
|
5083 |
+
},
|
5084 |
+
{
|
5085 |
+
"epoch": 1.71,
|
5086 |
+
"learning_rate": 0.0002,
|
5087 |
+
"loss": 0.7259,
|
5088 |
+
"step": 5390
|
5089 |
+
},
|
5090 |
+
{
|
5091 |
+
"epoch": 1.71,
|
5092 |
+
"learning_rate": 0.0002,
|
5093 |
+
"loss": 0.7394,
|
5094 |
+
"step": 5400
|
5095 |
+
},
|
5096 |
+
{
|
5097 |
+
"epoch": 1.71,
|
5098 |
+
"eval_loss": 0.7311118245124817,
|
5099 |
+
"eval_runtime": 111.2623,
|
5100 |
+
"eval_samples_per_second": 8.988,
|
5101 |
+
"eval_steps_per_second": 4.494,
|
5102 |
+
"step": 5400
|
5103 |
+
},
|
5104 |
+
{
|
5105 |
+
"epoch": 1.71,
|
5106 |
+
"mmlu_eval_accuracy": 0.4848351410303045,
|
5107 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
5108 |
+
"mmlu_eval_accuracy_anatomy": 0.7142857142857143,
|
5109 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
5110 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
5111 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449,
|
5112 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
5113 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
5114 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
5115 |
+
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
|
5116 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
5117 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
5118 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
5119 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
5120 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
5121 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
5122 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
5123 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
5124 |
+
"mmlu_eval_accuracy_global_facts": 0.4,
|
5125 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
5126 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
5127 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
5128 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
|
5129 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
5130 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
5131 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
|
5132 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
5133 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
|
5134 |
+
"mmlu_eval_accuracy_high_school_physics": 0.11764705882352941,
|
5135 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
5136 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
5137 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
5138 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
5139 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
5140 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
5141 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
5142 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
5143 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
5144 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
5145 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
5146 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
5147 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
5148 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
5149 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5526315789473685,
|
5150 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.22,
|
5151 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
5152 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
5153 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
5154 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
5155 |
+
"mmlu_eval_accuracy_professional_law": 0.3058823529411765,
|
5156 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6129032258064516,
|
5157 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
5158 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
5159 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
5160 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
5161 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
5162 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
5163 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
5164 |
+
"mmlu_loss": 1.348453690776937,
|
5165 |
+
"step": 5400
|
5166 |
+
},
|
5167 |
+
{
|
5168 |
+
"epoch": 1.71,
|
5169 |
+
"learning_rate": 0.0002,
|
5170 |
+
"loss": 0.7047,
|
5171 |
+
"step": 5410
|
5172 |
+
},
|
5173 |
+
{
|
5174 |
+
"epoch": 1.72,
|
5175 |
+
"learning_rate": 0.0002,
|
5176 |
+
"loss": 0.7001,
|
5177 |
+
"step": 5420
|
5178 |
+
},
|
5179 |
+
{
|
5180 |
+
"epoch": 1.72,
|
5181 |
+
"learning_rate": 0.0002,
|
5182 |
+
"loss": 0.6759,
|
5183 |
+
"step": 5430
|
5184 |
+
},
|
5185 |
+
{
|
5186 |
+
"epoch": 1.72,
|
5187 |
+
"learning_rate": 0.0002,
|
5188 |
+
"loss": 0.707,
|
5189 |
+
"step": 5440
|
5190 |
+
},
|
5191 |
+
{
|
5192 |
+
"epoch": 1.73,
|
5193 |
+
"learning_rate": 0.0002,
|
5194 |
+
"loss": 0.6648,
|
5195 |
+
"step": 5450
|
5196 |
+
},
|
5197 |
+
{
|
5198 |
+
"epoch": 1.73,
|
5199 |
+
"learning_rate": 0.0002,
|
5200 |
+
"loss": 0.7223,
|
5201 |
+
"step": 5460
|
5202 |
+
},
|
5203 |
+
{
|
5204 |
+
"epoch": 1.73,
|
5205 |
+
"learning_rate": 0.0002,
|
5206 |
+
"loss": 0.722,
|
5207 |
+
"step": 5470
|
5208 |
+
},
|
5209 |
+
{
|
5210 |
+
"epoch": 1.74,
|
5211 |
+
"learning_rate": 0.0002,
|
5212 |
+
"loss": 0.7848,
|
5213 |
+
"step": 5480
|
5214 |
+
},
|
5215 |
+
{
|
5216 |
+
"epoch": 1.74,
|
5217 |
+
"learning_rate": 0.0002,
|
5218 |
+
"loss": 0.6956,
|
5219 |
+
"step": 5490
|
5220 |
+
},
|
5221 |
+
{
|
5222 |
+
"epoch": 1.74,
|
5223 |
+
"learning_rate": 0.0002,
|
5224 |
+
"loss": 0.6584,
|
5225 |
+
"step": 5500
|
5226 |
+
},
|
5227 |
+
{
|
5228 |
+
"epoch": 1.75,
|
5229 |
+
"learning_rate": 0.0002,
|
5230 |
+
"loss": 0.7522,
|
5231 |
+
"step": 5510
|
5232 |
+
},
|
5233 |
+
{
|
5234 |
+
"epoch": 1.75,
|
5235 |
+
"learning_rate": 0.0002,
|
5236 |
+
"loss": 0.7374,
|
5237 |
+
"step": 5520
|
5238 |
+
},
|
5239 |
+
{
|
5240 |
+
"epoch": 1.75,
|
5241 |
+
"learning_rate": 0.0002,
|
5242 |
+
"loss": 0.635,
|
5243 |
+
"step": 5530
|
5244 |
+
},
|
5245 |
+
{
|
5246 |
+
"epoch": 1.76,
|
5247 |
+
"learning_rate": 0.0002,
|
5248 |
+
"loss": 0.6947,
|
5249 |
+
"step": 5540
|
5250 |
+
},
|
5251 |
+
{
|
5252 |
+
"epoch": 1.76,
|
5253 |
+
"learning_rate": 0.0002,
|
5254 |
+
"loss": 0.6948,
|
5255 |
+
"step": 5550
|
5256 |
+
},
|
5257 |
+
{
|
5258 |
+
"epoch": 1.76,
|
5259 |
+
"learning_rate": 0.0002,
|
5260 |
+
"loss": 0.676,
|
5261 |
+
"step": 5560
|
5262 |
+
},
|
5263 |
+
{
|
5264 |
+
"epoch": 1.76,
|
5265 |
+
"learning_rate": 0.0002,
|
5266 |
+
"loss": 0.7053,
|
5267 |
+
"step": 5570
|
5268 |
+
},
|
5269 |
+
{
|
5270 |
+
"epoch": 1.77,
|
5271 |
+
"learning_rate": 0.0002,
|
5272 |
+
"loss": 0.6868,
|
5273 |
+
"step": 5580
|
5274 |
+
},
|
5275 |
+
{
|
5276 |
+
"epoch": 1.77,
|
5277 |
+
"learning_rate": 0.0002,
|
5278 |
+
"loss": 0.7307,
|
5279 |
+
"step": 5590
|
5280 |
+
},
|
5281 |
+
{
|
5282 |
+
"epoch": 1.77,
|
5283 |
+
"learning_rate": 0.0002,
|
5284 |
+
"loss": 0.6902,
|
5285 |
+
"step": 5600
|
5286 |
+
},
|
5287 |
+
{
|
5288 |
+
"epoch": 1.77,
|
5289 |
+
"eval_loss": 0.7314637899398804,
|
5290 |
+
"eval_runtime": 111.0487,
|
5291 |
+
"eval_samples_per_second": 9.005,
|
5292 |
+
"eval_steps_per_second": 4.503,
|
5293 |
+
"step": 5600
|
5294 |
+
},
|
5295 |
+
{
|
5296 |
+
"epoch": 1.77,
|
5297 |
+
"mmlu_eval_accuracy": 0.48467107795368586,
|
5298 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
5299 |
+
"mmlu_eval_accuracy_anatomy": 0.7142857142857143,
|
5300 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
5301 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
5302 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449,
|
5303 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
5304 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
5305 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
5306 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
5307 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
5308 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
5309 |
+
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
|
5310 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
5311 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
5312 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.375,
|
5313 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
5314 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
5315 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
5316 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
5317 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
5318 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
5319 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
5320 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
5321 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
5322 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791,
|
5323 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862,
|
5324 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
5325 |
+
"mmlu_eval_accuracy_high_school_physics": 0.058823529411764705,
|
5326 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.85,
|
5327 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
5328 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
5329 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
5330 |
+
"mmlu_eval_accuracy_human_aging": 0.782608695652174,
|
5331 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
5332 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
5333 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
5334 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
5335 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
5336 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
5337 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
5338 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
5339 |
+
"mmlu_eval_accuracy_miscellaneous": 0.627906976744186,
|
5340 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
5341 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
5342 |
+
"mmlu_eval_accuracy_nutrition": 0.7272727272727273,
|
5343 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
5344 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
5345 |
+
"mmlu_eval_accuracy_professional_accounting": 0.1935483870967742,
|
5346 |
+
"mmlu_eval_accuracy_professional_law": 0.3411764705882353,
|
5347 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
5348 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
|
5349 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
5350 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
5351 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
5352 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
5353 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
5354 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
5355 |
+
"mmlu_loss": 1.3874250733665636,
|
5356 |
+
"step": 5600
|
5357 |
+
},
|
5358 |
+
{
|
5359 |
+
"epoch": 1.78,
|
5360 |
+
"learning_rate": 0.0002,
|
5361 |
+
"loss": 0.6558,
|
5362 |
+
"step": 5610
|
5363 |
+
},
|
5364 |
+
{
|
5365 |
+
"epoch": 1.78,
|
5366 |
+
"learning_rate": 0.0002,
|
5367 |
+
"loss": 0.714,
|
5368 |
+
"step": 5620
|
5369 |
+
},
|
5370 |
+
{
|
5371 |
+
"epoch": 1.78,
|
5372 |
+
"learning_rate": 0.0002,
|
5373 |
+
"loss": 0.7019,
|
5374 |
+
"step": 5630
|
5375 |
+
},
|
5376 |
+
{
|
5377 |
+
"epoch": 1.79,
|
5378 |
+
"learning_rate": 0.0002,
|
5379 |
+
"loss": 0.7084,
|
5380 |
+
"step": 5640
|
5381 |
+
},
|
5382 |
+
{
|
5383 |
+
"epoch": 1.79,
|
5384 |
+
"learning_rate": 0.0002,
|
5385 |
+
"loss": 0.7184,
|
5386 |
+
"step": 5650
|
5387 |
+
},
|
5388 |
+
{
|
5389 |
+
"epoch": 1.79,
|
5390 |
+
"learning_rate": 0.0002,
|
5391 |
+
"loss": 0.6524,
|
5392 |
+
"step": 5660
|
5393 |
+
},
|
5394 |
+
{
|
5395 |
+
"epoch": 1.8,
|
5396 |
+
"learning_rate": 0.0002,
|
5397 |
+
"loss": 0.7265,
|
5398 |
+
"step": 5670
|
5399 |
+
},
|
5400 |
+
{
|
5401 |
+
"epoch": 1.8,
|
5402 |
+
"learning_rate": 0.0002,
|
5403 |
+
"loss": 0.7164,
|
5404 |
+
"step": 5680
|
5405 |
+
},
|
5406 |
+
{
|
5407 |
+
"epoch": 1.8,
|
5408 |
+
"learning_rate": 0.0002,
|
5409 |
+
"loss": 0.6825,
|
5410 |
+
"step": 5690
|
5411 |
+
},
|
5412 |
+
{
|
5413 |
+
"epoch": 1.81,
|
5414 |
+
"learning_rate": 0.0002,
|
5415 |
+
"loss": 0.7427,
|
5416 |
+
"step": 5700
|
5417 |
+
},
|
5418 |
+
{
|
5419 |
+
"epoch": 1.81,
|
5420 |
+
"learning_rate": 0.0002,
|
5421 |
+
"loss": 0.7416,
|
5422 |
+
"step": 5710
|
5423 |
+
},
|
5424 |
+
{
|
5425 |
+
"epoch": 1.81,
|
5426 |
+
"learning_rate": 0.0002,
|
5427 |
+
"loss": 0.7027,
|
5428 |
+
"step": 5720
|
5429 |
+
},
|
5430 |
+
{
|
5431 |
+
"epoch": 1.82,
|
5432 |
+
"learning_rate": 0.0002,
|
5433 |
+
"loss": 0.7039,
|
5434 |
+
"step": 5730
|
5435 |
+
},
|
5436 |
+
{
|
5437 |
+
"epoch": 1.82,
|
5438 |
+
"learning_rate": 0.0002,
|
5439 |
+
"loss": 0.7108,
|
5440 |
+
"step": 5740
|
5441 |
+
},
|
5442 |
+
{
|
5443 |
+
"epoch": 1.82,
|
5444 |
+
"learning_rate": 0.0002,
|
5445 |
+
"loss": 0.6257,
|
5446 |
+
"step": 5750
|
5447 |
+
},
|
5448 |
+
{
|
5449 |
+
"epoch": 1.83,
|
5450 |
+
"learning_rate": 0.0002,
|
5451 |
+
"loss": 0.6665,
|
5452 |
+
"step": 5760
|
5453 |
+
},
|
5454 |
+
{
|
5455 |
+
"epoch": 1.83,
|
5456 |
+
"learning_rate": 0.0002,
|
5457 |
+
"loss": 0.7371,
|
5458 |
+
"step": 5770
|
5459 |
+
},
|
5460 |
+
{
|
5461 |
+
"epoch": 1.83,
|
5462 |
+
"learning_rate": 0.0002,
|
5463 |
+
"loss": 0.7194,
|
5464 |
+
"step": 5780
|
5465 |
+
},
|
5466 |
+
{
|
5467 |
+
"epoch": 1.83,
|
5468 |
+
"learning_rate": 0.0002,
|
5469 |
+
"loss": 0.7164,
|
5470 |
+
"step": 5790
|
5471 |
+
},
|
5472 |
+
{
|
5473 |
+
"epoch": 1.84,
|
5474 |
+
"learning_rate": 0.0002,
|
5475 |
+
"loss": 0.6887,
|
5476 |
+
"step": 5800
|
5477 |
+
},
|
5478 |
+
{
|
5479 |
+
"epoch": 1.84,
|
5480 |
+
"eval_loss": 0.732559084892273,
|
5481 |
+
"eval_runtime": 111.5342,
|
5482 |
+
"eval_samples_per_second": 8.966,
|
5483 |
+
"eval_steps_per_second": 4.483,
|
5484 |
+
"step": 5800
|
5485 |
+
},
|
5486 |
+
{
|
5487 |
+
"epoch": 1.84,
|
5488 |
+
"mmlu_eval_accuracy": 0.4740066355704332,
|
5489 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
5490 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
5491 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
5492 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
5493 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
5494 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
5495 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
5496 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
5497 |
+
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
|
5498 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
5499 |
+
"mmlu_eval_accuracy_college_physics": 0.2727272727272727,
|
5500 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
5501 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
5502 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
5503 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
5504 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
5505 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
5506 |
+
"mmlu_eval_accuracy_global_facts": 0.4,
|
5507 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
5508 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
5509 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
5510 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
5511 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
5512 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
5513 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907,
|
5514 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
5515 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
|
5516 |
+
"mmlu_eval_accuracy_high_school_physics": 0.11764705882352941,
|
5517 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334,
|
5518 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
5519 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
5520 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539,
|
5521 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
5522 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
5523 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
5524 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
5525 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
5526 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
5527 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
5528 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
5529 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
5530 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
5531 |
+
"mmlu_eval_accuracy_moral_disputes": 0.42105263157894735,
|
5532 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
5533 |
+
"mmlu_eval_accuracy_nutrition": 0.6363636363636364,
|
5534 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
5535 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
5536 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3870967741935484,
|
5537 |
+
"mmlu_eval_accuracy_professional_law": 0.29411764705882354,
|
5538 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6451612903225806,
|
5539 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
5540 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
5541 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
5542 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
5543 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
5544 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
5545 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
5546 |
+
"mmlu_loss": 1.3845557023822173,
|
5547 |
+
"step": 5800
|
5548 |
+
},
|
5549 |
+
{
|
5550 |
+
"epoch": 1.84,
|
5551 |
+
"learning_rate": 0.0002,
|
5552 |
+
"loss": 0.668,
|
5553 |
+
"step": 5810
|
5554 |
+
},
|
5555 |
+
{
|
5556 |
+
"epoch": 1.84,
|
5557 |
+
"learning_rate": 0.0002,
|
5558 |
+
"loss": 0.6993,
|
5559 |
+
"step": 5820
|
5560 |
+
},
|
5561 |
+
{
|
5562 |
+
"epoch": 1.85,
|
5563 |
+
"learning_rate": 0.0002,
|
5564 |
+
"loss": 0.7418,
|
5565 |
+
"step": 5830
|
5566 |
+
},
|
5567 |
+
{
|
5568 |
+
"epoch": 1.85,
|
5569 |
+
"learning_rate": 0.0002,
|
5570 |
+
"loss": 0.6916,
|
5571 |
+
"step": 5840
|
5572 |
+
},
|
5573 |
+
{
|
5574 |
+
"epoch": 1.85,
|
5575 |
+
"learning_rate": 0.0002,
|
5576 |
+
"loss": 0.7564,
|
5577 |
+
"step": 5850
|
5578 |
+
},
|
5579 |
+
{
|
5580 |
+
"epoch": 1.86,
|
5581 |
+
"learning_rate": 0.0002,
|
5582 |
+
"loss": 0.641,
|
5583 |
+
"step": 5860
|
5584 |
+
},
|
5585 |
+
{
|
5586 |
+
"epoch": 1.86,
|
5587 |
+
"learning_rate": 0.0002,
|
5588 |
+
"loss": 0.7593,
|
5589 |
+
"step": 5870
|
5590 |
+
},
|
5591 |
+
{
|
5592 |
+
"epoch": 1.86,
|
5593 |
+
"learning_rate": 0.0002,
|
5594 |
+
"loss": 0.6886,
|
5595 |
+
"step": 5880
|
5596 |
+
},
|
5597 |
+
{
|
5598 |
+
"epoch": 1.87,
|
5599 |
+
"learning_rate": 0.0002,
|
5600 |
+
"loss": 0.7053,
|
5601 |
+
"step": 5890
|
5602 |
+
},
|
5603 |
+
{
|
5604 |
+
"epoch": 1.87,
|
5605 |
+
"learning_rate": 0.0002,
|
5606 |
+
"loss": 0.6201,
|
5607 |
+
"step": 5900
|
5608 |
+
},
|
5609 |
+
{
|
5610 |
+
"epoch": 1.87,
|
5611 |
+
"learning_rate": 0.0002,
|
5612 |
+
"loss": 0.6998,
|
5613 |
+
"step": 5910
|
5614 |
+
},
|
5615 |
+
{
|
5616 |
+
"epoch": 1.88,
|
5617 |
+
"learning_rate": 0.0002,
|
5618 |
+
"loss": 0.6768,
|
5619 |
+
"step": 5920
|
5620 |
+
},
|
5621 |
+
{
|
5622 |
+
"epoch": 1.88,
|
5623 |
+
"learning_rate": 0.0002,
|
5624 |
+
"loss": 0.711,
|
5625 |
+
"step": 5930
|
5626 |
+
},
|
5627 |
+
{
|
5628 |
+
"epoch": 1.88,
|
5629 |
+
"learning_rate": 0.0002,
|
5630 |
+
"loss": 0.681,
|
5631 |
+
"step": 5940
|
5632 |
+
},
|
5633 |
+
{
|
5634 |
+
"epoch": 1.89,
|
5635 |
+
"learning_rate": 0.0002,
|
5636 |
+
"loss": 0.7145,
|
5637 |
+
"step": 5950
|
5638 |
+
},
|
5639 |
+
{
|
5640 |
+
"epoch": 1.89,
|
5641 |
+
"learning_rate": 0.0002,
|
5642 |
+
"loss": 0.7513,
|
5643 |
+
"step": 5960
|
5644 |
+
},
|
5645 |
+
{
|
5646 |
+
"epoch": 1.89,
|
5647 |
+
"learning_rate": 0.0002,
|
5648 |
+
"loss": 0.6817,
|
5649 |
+
"step": 5970
|
5650 |
+
},
|
5651 |
+
{
|
5652 |
+
"epoch": 1.89,
|
5653 |
+
"learning_rate": 0.0002,
|
5654 |
+
"loss": 0.6757,
|
5655 |
+
"step": 5980
|
5656 |
+
},
|
5657 |
+
{
|
5658 |
+
"epoch": 1.9,
|
5659 |
+
"learning_rate": 0.0002,
|
5660 |
+
"loss": 0.6899,
|
5661 |
+
"step": 5990
|
5662 |
+
},
|
5663 |
+
{
|
5664 |
+
"epoch": 1.9,
|
5665 |
+
"learning_rate": 0.0002,
|
5666 |
+
"loss": 0.6821,
|
5667 |
+
"step": 6000
|
5668 |
+
},
|
5669 |
+
{
|
5670 |
+
"epoch": 1.9,
|
5671 |
+
"eval_loss": 0.7302425503730774,
|
5672 |
+
"eval_runtime": 111.0525,
|
5673 |
+
"eval_samples_per_second": 9.005,
|
5674 |
+
"eval_steps_per_second": 4.502,
|
5675 |
+
"step": 6000
|
5676 |
+
},
|
5677 |
+
{
|
5678 |
+
"epoch": 1.9,
|
5679 |
+
"mmlu_eval_accuracy": 0.47023094937776666,
|
5680 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
5681 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
5682 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
5683 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
5684 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449,
|
5685 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
5686 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
5687 |
+
"mmlu_eval_accuracy_college_computer_science": 0.18181818181818182,
|
5688 |
+
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
|
5689 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
5690 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
5691 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
5692 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
5693 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
5694 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
5695 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293,
|
5696 |
+
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
5697 |
+
"mmlu_eval_accuracy_global_facts": 0.4,
|
5698 |
+
"mmlu_eval_accuracy_high_school_biology": 0.34375,
|
5699 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
|
5700 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
5701 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
5702 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
|
5703 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
5704 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907,
|
5705 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
5706 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
|
5707 |
+
"mmlu_eval_accuracy_high_school_physics": 0.11764705882352941,
|
5708 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
5709 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.21739130434782608,
|
5710 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
5711 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
5712 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
5713 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
5714 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
5715 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
5716 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
5717 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
5718 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
5719 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
5720 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
5721 |
+
"mmlu_eval_accuracy_miscellaneous": 0.627906976744186,
|
5722 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
5723 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
5724 |
+
"mmlu_eval_accuracy_nutrition": 0.5757575757575758,
|
5725 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
5726 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
5727 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3870967741935484,
|
5728 |
+
"mmlu_eval_accuracy_professional_law": 0.3,
|
5729 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6451612903225806,
|
5730 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
|
5731 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
5732 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
5733 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
5734 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
5735 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
5736 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
5737 |
+
"mmlu_loss": 1.4106916200087525,
|
5738 |
+
"step": 6000
|
5739 |
+
},
|
5740 |
+
{
|
5741 |
+
"epoch": 1.9,
|
5742 |
+
"learning_rate": 0.0002,
|
5743 |
+
"loss": 0.7115,
|
5744 |
+
"step": 6010
|
5745 |
+
},
|
5746 |
+
{
|
5747 |
+
"epoch": 1.91,
|
5748 |
+
"learning_rate": 0.0002,
|
5749 |
+
"loss": 0.6862,
|
5750 |
+
"step": 6020
|
5751 |
+
},
|
5752 |
+
{
|
5753 |
+
"epoch": 1.91,
|
5754 |
+
"learning_rate": 0.0002,
|
5755 |
+
"loss": 0.6705,
|
5756 |
+
"step": 6030
|
5757 |
+
},
|
5758 |
+
{
|
5759 |
+
"epoch": 1.91,
|
5760 |
+
"learning_rate": 0.0002,
|
5761 |
+
"loss": 0.6848,
|
5762 |
+
"step": 6040
|
5763 |
+
},
|
5764 |
+
{
|
5765 |
+
"epoch": 1.92,
|
5766 |
+
"learning_rate": 0.0002,
|
5767 |
+
"loss": 0.7765,
|
5768 |
+
"step": 6050
|
5769 |
+
},
|
5770 |
+
{
|
5771 |
+
"epoch": 1.92,
|
5772 |
+
"learning_rate": 0.0002,
|
5773 |
+
"loss": 0.6801,
|
5774 |
+
"step": 6060
|
5775 |
+
},
|
5776 |
+
{
|
5777 |
+
"epoch": 1.92,
|
5778 |
+
"learning_rate": 0.0002,
|
5779 |
+
"loss": 0.6648,
|
5780 |
+
"step": 6070
|
5781 |
+
},
|
5782 |
+
{
|
5783 |
+
"epoch": 1.93,
|
5784 |
+
"learning_rate": 0.0002,
|
5785 |
+
"loss": 0.6847,
|
5786 |
+
"step": 6080
|
5787 |
+
},
|
5788 |
+
{
|
5789 |
+
"epoch": 1.93,
|
5790 |
+
"learning_rate": 0.0002,
|
5791 |
+
"loss": 0.665,
|
5792 |
+
"step": 6090
|
5793 |
+
},
|
5794 |
+
{
|
5795 |
+
"epoch": 1.93,
|
5796 |
+
"learning_rate": 0.0002,
|
5797 |
+
"loss": 0.7627,
|
5798 |
+
"step": 6100
|
5799 |
+
},
|
5800 |
+
{
|
5801 |
+
"epoch": 1.94,
|
5802 |
+
"learning_rate": 0.0002,
|
5803 |
+
"loss": 0.6874,
|
5804 |
+
"step": 6110
|
5805 |
+
},
|
5806 |
+
{
|
5807 |
+
"epoch": 1.94,
|
5808 |
+
"learning_rate": 0.0002,
|
5809 |
+
"loss": 0.6907,
|
5810 |
+
"step": 6120
|
5811 |
+
},
|
5812 |
+
{
|
5813 |
+
"epoch": 1.94,
|
5814 |
+
"learning_rate": 0.0002,
|
5815 |
+
"loss": 0.6369,
|
5816 |
+
"step": 6130
|
5817 |
+
},
|
5818 |
+
{
|
5819 |
+
"epoch": 1.95,
|
5820 |
+
"learning_rate": 0.0002,
|
5821 |
+
"loss": 0.7289,
|
5822 |
+
"step": 6140
|
5823 |
+
},
|
5824 |
+
{
|
5825 |
+
"epoch": 1.95,
|
5826 |
+
"learning_rate": 0.0002,
|
5827 |
+
"loss": 0.7233,
|
5828 |
+
"step": 6150
|
5829 |
+
},
|
5830 |
+
{
|
5831 |
+
"epoch": 1.95,
|
5832 |
+
"learning_rate": 0.0002,
|
5833 |
+
"loss": 0.68,
|
5834 |
+
"step": 6160
|
5835 |
+
},
|
5836 |
+
{
|
5837 |
+
"epoch": 1.96,
|
5838 |
+
"learning_rate": 0.0002,
|
5839 |
+
"loss": 0.6842,
|
5840 |
+
"step": 6170
|
5841 |
+
},
|
5842 |
+
{
|
5843 |
+
"epoch": 1.96,
|
5844 |
+
"learning_rate": 0.0002,
|
5845 |
+
"loss": 0.7125,
|
5846 |
+
"step": 6180
|
5847 |
+
},
|
5848 |
+
{
|
5849 |
+
"epoch": 1.96,
|
5850 |
+
"learning_rate": 0.0002,
|
5851 |
+
"loss": 0.683,
|
5852 |
+
"step": 6190
|
5853 |
+
},
|
5854 |
+
{
|
5855 |
+
"epoch": 1.96,
|
5856 |
+
"learning_rate": 0.0002,
|
5857 |
+
"loss": 0.7097,
|
5858 |
+
"step": 6200
|
5859 |
+
},
|
5860 |
+
{
|
5861 |
+
"epoch": 1.96,
|
5862 |
+
"eval_loss": 0.7293602228164673,
|
5863 |
+
"eval_runtime": 111.0579,
|
5864 |
+
"eval_samples_per_second": 9.004,
|
5865 |
+
"eval_steps_per_second": 4.502,
|
5866 |
+
"step": 6200
|
5867 |
+
},
|
5868 |
+
{
|
5869 |
+
"epoch": 1.96,
|
5870 |
+
"mmlu_eval_accuracy": 0.4704848103487601,
|
5871 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
5872 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
5873 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
5874 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
5875 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
5876 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
5877 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
5878 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
5879 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
5880 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
5881 |
+
"mmlu_eval_accuracy_college_physics": 0.2727272727272727,
|
5882 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
5883 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
5884 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
5885 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
5886 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
5887 |
+
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
5888 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
5889 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
5890 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
5891 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
5892 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
5893 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
5894 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
5895 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
|
5896 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
5897 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
|
5898 |
+
"mmlu_eval_accuracy_high_school_physics": 0.11764705882352941,
|
5899 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
5900 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
5901 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
5902 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
5903 |
+
"mmlu_eval_accuracy_human_aging": 0.782608695652174,
|
5904 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
5905 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
5906 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
5907 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
5908 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
5909 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
5910 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
5911 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
5912 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
5913 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5526315789473685,
|
5914 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.28,
|
5915 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
5916 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
5917 |
+
"mmlu_eval_accuracy_prehistory": 0.45714285714285713,
|
5918 |
+
"mmlu_eval_accuracy_professional_accounting": 0.41935483870967744,
|
5919 |
+
"mmlu_eval_accuracy_professional_law": 0.31176470588235294,
|
5920 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5806451612903226,
|
5921 |
+
"mmlu_eval_accuracy_professional_psychology": 0.463768115942029,
|
5922 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
5923 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
5924 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
5925 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
5926 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
5927 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
5928 |
+
"mmlu_loss": 1.374586288985011,
|
5929 |
+
"step": 6200
|
5930 |
+
},
|
5931 |
+
{
|
5932 |
+
"epoch": 1.97,
|
5933 |
+
"learning_rate": 0.0002,
|
5934 |
+
"loss": 0.7095,
|
5935 |
+
"step": 6210
|
5936 |
+
},
|
5937 |
+
{
|
5938 |
+
"epoch": 1.97,
|
5939 |
+
"learning_rate": 0.0002,
|
5940 |
+
"loss": 0.7681,
|
5941 |
+
"step": 6220
|
5942 |
+
},
|
5943 |
+
{
|
5944 |
+
"epoch": 1.97,
|
5945 |
+
"learning_rate": 0.0002,
|
5946 |
+
"loss": 0.7356,
|
5947 |
+
"step": 6230
|
5948 |
+
},
|
5949 |
+
{
|
5950 |
+
"epoch": 1.98,
|
5951 |
+
"learning_rate": 0.0002,
|
5952 |
+
"loss": 0.6956,
|
5953 |
+
"step": 6240
|
5954 |
+
},
|
5955 |
+
{
|
5956 |
+
"epoch": 1.98,
|
5957 |
+
"learning_rate": 0.0002,
|
5958 |
+
"loss": 0.7034,
|
5959 |
+
"step": 6250
|
5960 |
+
},
|
5961 |
+
{
|
5962 |
+
"epoch": 1.98,
|
5963 |
+
"learning_rate": 0.0002,
|
5964 |
+
"loss": 0.6532,
|
5965 |
+
"step": 6260
|
5966 |
+
},
|
5967 |
+
{
|
5968 |
+
"epoch": 1.99,
|
5969 |
+
"learning_rate": 0.0002,
|
5970 |
+
"loss": 0.6917,
|
5971 |
+
"step": 6270
|
5972 |
+
},
|
5973 |
+
{
|
5974 |
+
"epoch": 1.99,
|
5975 |
+
"learning_rate": 0.0002,
|
5976 |
+
"loss": 0.6392,
|
5977 |
+
"step": 6280
|
5978 |
+
},
|
5979 |
+
{
|
5980 |
+
"epoch": 1.99,
|
5981 |
+
"learning_rate": 0.0002,
|
5982 |
+
"loss": 0.6656,
|
5983 |
+
"step": 6290
|
5984 |
+
},
|
5985 |
+
{
|
5986 |
+
"epoch": 2.0,
|
5987 |
+
"learning_rate": 0.0002,
|
5988 |
+
"loss": 0.6829,
|
5989 |
+
"step": 6300
|
5990 |
+
},
|
5991 |
+
{
|
5992 |
+
"epoch": 2.0,
|
5993 |
+
"learning_rate": 0.0002,
|
5994 |
+
"loss": 0.675,
|
5995 |
+
"step": 6310
|
5996 |
+
},
|
5997 |
+
{
|
5998 |
+
"epoch": 2.0,
|
5999 |
+
"learning_rate": 0.0002,
|
6000 |
+
"loss": 0.6321,
|
6001 |
+
"step": 6320
|
6002 |
+
},
|
6003 |
+
{
|
6004 |
+
"epoch": 2.01,
|
6005 |
+
"learning_rate": 0.0002,
|
6006 |
+
"loss": 0.6109,
|
6007 |
+
"step": 6330
|
6008 |
+
},
|
6009 |
+
{
|
6010 |
+
"epoch": 2.01,
|
6011 |
+
"learning_rate": 0.0002,
|
6012 |
+
"loss": 0.6065,
|
6013 |
+
"step": 6340
|
6014 |
+
},
|
6015 |
+
{
|
6016 |
+
"epoch": 2.01,
|
6017 |
+
"learning_rate": 0.0002,
|
6018 |
+
"loss": 0.5912,
|
6019 |
+
"step": 6350
|
6020 |
+
},
|
6021 |
+
{
|
6022 |
+
"epoch": 2.02,
|
6023 |
+
"learning_rate": 0.0002,
|
6024 |
+
"loss": 0.613,
|
6025 |
+
"step": 6360
|
6026 |
+
},
|
6027 |
+
{
|
6028 |
+
"epoch": 2.02,
|
6029 |
+
"learning_rate": 0.0002,
|
6030 |
+
"loss": 0.586,
|
6031 |
+
"step": 6370
|
6032 |
+
},
|
6033 |
+
{
|
6034 |
+
"epoch": 2.02,
|
6035 |
+
"learning_rate": 0.0002,
|
6036 |
+
"loss": 0.6383,
|
6037 |
+
"step": 6380
|
6038 |
+
},
|
6039 |
+
{
|
6040 |
+
"epoch": 2.02,
|
6041 |
+
"learning_rate": 0.0002,
|
6042 |
+
"loss": 0.5629,
|
6043 |
+
"step": 6390
|
6044 |
+
},
|
6045 |
+
{
|
6046 |
+
"epoch": 2.03,
|
6047 |
+
"learning_rate": 0.0002,
|
6048 |
+
"loss": 0.6048,
|
6049 |
+
"step": 6400
|
6050 |
+
},
|
6051 |
+
{
|
6052 |
+
"epoch": 2.03,
|
6053 |
+
"eval_loss": 0.7574472427368164,
|
6054 |
+
"eval_runtime": 110.9511,
|
6055 |
+
"eval_samples_per_second": 9.013,
|
6056 |
+
"eval_steps_per_second": 4.506,
|
6057 |
+
"step": 6400
|
6058 |
+
},
|
6059 |
+
{
|
6060 |
+
"epoch": 2.03,
|
6061 |
+
"mmlu_eval_accuracy": 0.470592564742188,
|
6062 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
6063 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
6064 |
+
"mmlu_eval_accuracy_astronomy": 0.375,
|
6065 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
6066 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449,
|
6067 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
6068 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
6069 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
6070 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
6071 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
6072 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
6073 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
6074 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
6075 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
6076 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
6077 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
6078 |
+
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
6079 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
6080 |
+
"mmlu_eval_accuracy_high_school_biology": 0.4375,
|
6081 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
6082 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
6083 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
6084 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
6085 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
6086 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442,
|
6087 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
6088 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
|
6089 |
+
"mmlu_eval_accuracy_high_school_physics": 0.0,
|
6090 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334,
|
6091 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
|
6092 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
6093 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
6094 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
6095 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
6096 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
6097 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
6098 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
6099 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
6100 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
6101 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
6102 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
6103 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
6104 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
6105 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.26,
|
6106 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
6107 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
6108 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
6109 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
6110 |
+
"mmlu_eval_accuracy_professional_law": 0.32941176470588235,
|
6111 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6129032258064516,
|
6112 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
6113 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
6114 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
6115 |
+
"mmlu_eval_accuracy_sociology": 0.6363636363636364,
|
6116 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
6117 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
6118 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
6119 |
+
"mmlu_loss": 1.3004325469542422,
|
6120 |
+
"step": 6400
|
6121 |
+
},
|
6122 |
+
{
|
6123 |
+
"epoch": 2.03,
|
6124 |
+
"learning_rate": 0.0002,
|
6125 |
+
"loss": 0.5702,
|
6126 |
+
"step": 6410
|
6127 |
+
},
|
6128 |
+
{
|
6129 |
+
"epoch": 2.03,
|
6130 |
+
"learning_rate": 0.0002,
|
6131 |
+
"loss": 0.5957,
|
6132 |
+
"step": 6420
|
6133 |
+
},
|
6134 |
+
{
|
6135 |
+
"epoch": 2.04,
|
6136 |
+
"learning_rate": 0.0002,
|
6137 |
+
"loss": 0.5994,
|
6138 |
+
"step": 6430
|
6139 |
+
},
|
6140 |
+
{
|
6141 |
+
"epoch": 2.04,
|
6142 |
+
"learning_rate": 0.0002,
|
6143 |
+
"loss": 0.5922,
|
6144 |
+
"step": 6440
|
6145 |
+
},
|
6146 |
+
{
|
6147 |
+
"epoch": 2.04,
|
6148 |
+
"learning_rate": 0.0002,
|
6149 |
+
"loss": 0.5626,
|
6150 |
+
"step": 6450
|
6151 |
+
},
|
6152 |
+
{
|
6153 |
+
"epoch": 2.05,
|
6154 |
+
"learning_rate": 0.0002,
|
6155 |
+
"loss": 0.5912,
|
6156 |
+
"step": 6460
|
6157 |
+
},
|
6158 |
+
{
|
6159 |
+
"epoch": 2.05,
|
6160 |
+
"learning_rate": 0.0002,
|
6161 |
+
"loss": 0.5877,
|
6162 |
+
"step": 6470
|
6163 |
+
},
|
6164 |
+
{
|
6165 |
+
"epoch": 2.05,
|
6166 |
+
"learning_rate": 0.0002,
|
6167 |
+
"loss": 0.578,
|
6168 |
+
"step": 6480
|
6169 |
+
},
|
6170 |
+
{
|
6171 |
+
"epoch": 2.06,
|
6172 |
+
"learning_rate": 0.0002,
|
6173 |
+
"loss": 0.6207,
|
6174 |
+
"step": 6490
|
6175 |
+
},
|
6176 |
+
{
|
6177 |
+
"epoch": 2.06,
|
6178 |
+
"learning_rate": 0.0002,
|
6179 |
+
"loss": 0.5606,
|
6180 |
+
"step": 6500
|
6181 |
+
},
|
6182 |
+
{
|
6183 |
+
"epoch": 2.06,
|
6184 |
+
"learning_rate": 0.0002,
|
6185 |
+
"loss": 0.553,
|
6186 |
+
"step": 6510
|
6187 |
+
},
|
6188 |
+
{
|
6189 |
+
"epoch": 2.07,
|
6190 |
+
"learning_rate": 0.0002,
|
6191 |
+
"loss": 0.6092,
|
6192 |
+
"step": 6520
|
6193 |
+
},
|
6194 |
+
{
|
6195 |
+
"epoch": 2.07,
|
6196 |
+
"learning_rate": 0.0002,
|
6197 |
+
"loss": 0.6183,
|
6198 |
+
"step": 6530
|
6199 |
+
},
|
6200 |
+
{
|
6201 |
+
"epoch": 2.07,
|
6202 |
+
"learning_rate": 0.0002,
|
6203 |
+
"loss": 0.5825,
|
6204 |
+
"step": 6540
|
6205 |
+
},
|
6206 |
+
{
|
6207 |
+
"epoch": 2.08,
|
6208 |
+
"learning_rate": 0.0002,
|
6209 |
+
"loss": 0.5674,
|
6210 |
+
"step": 6550
|
6211 |
+
},
|
6212 |
+
{
|
6213 |
+
"epoch": 2.08,
|
6214 |
+
"learning_rate": 0.0002,
|
6215 |
+
"loss": 0.5587,
|
6216 |
+
"step": 6560
|
6217 |
+
},
|
6218 |
+
{
|
6219 |
+
"epoch": 2.08,
|
6220 |
+
"learning_rate": 0.0002,
|
6221 |
+
"loss": 0.5317,
|
6222 |
+
"step": 6570
|
6223 |
+
},
|
6224 |
+
{
|
6225 |
+
"epoch": 2.08,
|
6226 |
+
"learning_rate": 0.0002,
|
6227 |
+
"loss": 0.6731,
|
6228 |
+
"step": 6580
|
6229 |
+
},
|
6230 |
+
{
|
6231 |
+
"epoch": 2.09,
|
6232 |
+
"learning_rate": 0.0002,
|
6233 |
+
"loss": 0.6242,
|
6234 |
+
"step": 6590
|
6235 |
+
},
|
6236 |
+
{
|
6237 |
+
"epoch": 2.09,
|
6238 |
+
"learning_rate": 0.0002,
|
6239 |
+
"loss": 0.6332,
|
6240 |
+
"step": 6600
|
6241 |
+
},
|
6242 |
+
{
|
6243 |
+
"epoch": 2.09,
|
6244 |
+
"eval_loss": 0.7567528486251831,
|
6245 |
+
"eval_runtime": 111.0264,
|
6246 |
+
"eval_samples_per_second": 9.007,
|
6247 |
+
"eval_steps_per_second": 4.503,
|
6248 |
+
"step": 6600
|
6249 |
+
},
|
6250 |
+
{
|
6251 |
+
"epoch": 2.09,
|
6252 |
+
"mmlu_eval_accuracy": 0.47542707100737025,
|
6253 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
6254 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
6255 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
6256 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
6257 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
6258 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
6259 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
6260 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
6261 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
6262 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
6263 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
6264 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
6265 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
6266 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
6267 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
6268 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
6269 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
6270 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
6271 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
6272 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
6273 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
6274 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
6275 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
6276 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
6277 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
6278 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
6279 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
6280 |
+
"mmlu_eval_accuracy_high_school_physics": 0.058823529411764705,
|
6281 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.85,
|
6282 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
6283 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
6284 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
|
6285 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
6286 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
6287 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
6288 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
6289 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
6290 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
6291 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
6292 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
6293 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
6294 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
6295 |
+
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
|
6296 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.26,
|
6297 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
6298 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
6299 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
6300 |
+
"mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
|
6301 |
+
"mmlu_eval_accuracy_professional_law": 0.31176470588235294,
|
6302 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5806451612903226,
|
6303 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
|
6304 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
6305 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
6306 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
6307 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
6308 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
6309 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
6310 |
+
"mmlu_loss": 1.4275867019247448,
|
6311 |
+
"step": 6600
|
6312 |
+
},
|
6313 |
+
{
|
6314 |
+
"epoch": 2.09,
|
6315 |
+
"learning_rate": 0.0002,
|
6316 |
+
"loss": 0.5948,
|
6317 |
+
"step": 6610
|
6318 |
+
},
|
6319 |
+
{
|
6320 |
+
"epoch": 2.1,
|
6321 |
+
"learning_rate": 0.0002,
|
6322 |
+
"loss": 0.6068,
|
6323 |
+
"step": 6620
|
6324 |
+
},
|
6325 |
+
{
|
6326 |
+
"epoch": 2.1,
|
6327 |
+
"learning_rate": 0.0002,
|
6328 |
+
"loss": 0.5831,
|
6329 |
+
"step": 6630
|
6330 |
+
},
|
6331 |
+
{
|
6332 |
+
"epoch": 2.1,
|
6333 |
+
"learning_rate": 0.0002,
|
6334 |
+
"loss": 0.5664,
|
6335 |
+
"step": 6640
|
6336 |
+
},
|
6337 |
+
{
|
6338 |
+
"epoch": 2.11,
|
6339 |
+
"learning_rate": 0.0002,
|
6340 |
+
"loss": 0.622,
|
6341 |
+
"step": 6650
|
6342 |
+
},
|
6343 |
+
{
|
6344 |
+
"epoch": 2.11,
|
6345 |
+
"learning_rate": 0.0002,
|
6346 |
+
"loss": 0.5759,
|
6347 |
+
"step": 6660
|
6348 |
+
},
|
6349 |
+
{
|
6350 |
+
"epoch": 2.11,
|
6351 |
+
"learning_rate": 0.0002,
|
6352 |
+
"loss": 0.5841,
|
6353 |
+
"step": 6670
|
6354 |
+
},
|
6355 |
+
{
|
6356 |
+
"epoch": 2.12,
|
6357 |
+
"learning_rate": 0.0002,
|
6358 |
+
"loss": 0.6221,
|
6359 |
+
"step": 6680
|
6360 |
+
},
|
6361 |
+
{
|
6362 |
+
"epoch": 2.12,
|
6363 |
+
"learning_rate": 0.0002,
|
6364 |
+
"loss": 0.5904,
|
6365 |
+
"step": 6690
|
6366 |
+
},
|
6367 |
+
{
|
6368 |
+
"epoch": 2.12,
|
6369 |
+
"learning_rate": 0.0002,
|
6370 |
+
"loss": 0.6121,
|
6371 |
+
"step": 6700
|
6372 |
+
},
|
6373 |
+
{
|
6374 |
+
"epoch": 2.13,
|
6375 |
+
"learning_rate": 0.0002,
|
6376 |
+
"loss": 0.5526,
|
6377 |
+
"step": 6710
|
6378 |
+
},
|
6379 |
+
{
|
6380 |
+
"epoch": 2.13,
|
6381 |
+
"learning_rate": 0.0002,
|
6382 |
+
"loss": 0.6742,
|
6383 |
+
"step": 6720
|
6384 |
+
},
|
6385 |
+
{
|
6386 |
+
"epoch": 2.13,
|
6387 |
+
"learning_rate": 0.0002,
|
6388 |
+
"loss": 0.5705,
|
6389 |
+
"step": 6730
|
6390 |
+
},
|
6391 |
+
{
|
6392 |
+
"epoch": 2.14,
|
6393 |
+
"learning_rate": 0.0002,
|
6394 |
+
"loss": 0.6151,
|
6395 |
+
"step": 6740
|
6396 |
+
},
|
6397 |
+
{
|
6398 |
+
"epoch": 2.14,
|
6399 |
+
"learning_rate": 0.0002,
|
6400 |
+
"loss": 0.5902,
|
6401 |
+
"step": 6750
|
6402 |
+
},
|
6403 |
+
{
|
6404 |
+
"epoch": 2.14,
|
6405 |
+
"learning_rate": 0.0002,
|
6406 |
+
"loss": 0.6448,
|
6407 |
+
"step": 6760
|
6408 |
+
},
|
6409 |
+
{
|
6410 |
+
"epoch": 2.15,
|
6411 |
+
"learning_rate": 0.0002,
|
6412 |
+
"loss": 0.5395,
|
6413 |
+
"step": 6770
|
6414 |
+
},
|
6415 |
+
{
|
6416 |
+
"epoch": 2.15,
|
6417 |
+
"learning_rate": 0.0002,
|
6418 |
+
"loss": 0.5613,
|
6419 |
+
"step": 6780
|
6420 |
+
},
|
6421 |
+
{
|
6422 |
+
"epoch": 2.15,
|
6423 |
+
"learning_rate": 0.0002,
|
6424 |
+
"loss": 0.5802,
|
6425 |
+
"step": 6790
|
6426 |
+
},
|
6427 |
+
{
|
6428 |
+
"epoch": 2.15,
|
6429 |
+
"learning_rate": 0.0002,
|
6430 |
+
"loss": 0.6026,
|
6431 |
+
"step": 6800
|
6432 |
+
},
|
6433 |
+
{
|
6434 |
+
"epoch": 2.15,
|
6435 |
+
"eval_loss": 0.7631368637084961,
|
6436 |
+
"eval_runtime": 111.0583,
|
6437 |
+
"eval_samples_per_second": 9.004,
|
6438 |
+
"eval_steps_per_second": 4.502,
|
6439 |
+
"step": 6800
|
6440 |
+
},
|
6441 |
+
{
|
6442 |
+
"epoch": 2.15,
|
6443 |
+
"mmlu_eval_accuracy": 0.47370240345715936,
|
6444 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
6445 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
6446 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
6447 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
6448 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
6449 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
6450 |
+
"mmlu_eval_accuracy_college_chemistry": 0.375,
|
6451 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
6452 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
6453 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
6454 |
+
"mmlu_eval_accuracy_college_physics": 0.2727272727272727,
|
6455 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
6456 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
6457 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
6458 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
6459 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
6460 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
6461 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
6462 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
6463 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
6464 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
6465 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
6466 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
6467 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
6468 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442,
|
6469 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862,
|
6470 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
6471 |
+
"mmlu_eval_accuracy_high_school_physics": 0.0,
|
6472 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
6473 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
6474 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
6475 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539,
|
6476 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
6477 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
6478 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
6479 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
6480 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
6481 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
6482 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
6483 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
6484 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
6485 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
6486 |
+
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
|
6487 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
6488 |
+
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
|
6489 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
6490 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
6491 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
6492 |
+
"mmlu_eval_accuracy_professional_law": 0.3235294117647059,
|
6493 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
6494 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
|
6495 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
6496 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
6497 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
6498 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
6499 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
6500 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
6501 |
+
"mmlu_loss": 1.295992794337223,
|
6502 |
+
"step": 6800
|
6503 |
}
|
6504 |
],
|
6505 |
"max_steps": 10000,
|
6506 |
"num_train_epochs": 4,
|
6507 |
+
"total_flos": 2.0637949787377336e+18,
|
6508 |
"trial_name": null,
|
6509 |
"trial_params": null
|
6510 |
}
|
{checkpoint-4600 β checkpoint-6800}/training_args.bin
RENAMED
File without changes
|