Farouk commited on
Commit ·
2da9bda
1
Parent(s): 116c7ab
Training in progress, step 7200
Browse files- adapter_model.bin +1 -1
- checkpoint-6800/adapter_model/adapter_model/README.md +12 -0
- checkpoint-6800/adapter_model/adapter_model/adapter_model.bin +1 -1
- {checkpoint-5000 → checkpoint-7200}/README.md +0 -0
- {checkpoint-5000 → checkpoint-7200}/adapter_config.json +0 -0
- {checkpoint-5000 → checkpoint-7200}/adapter_model.bin +1 -1
- {checkpoint-5000 → checkpoint-7200}/added_tokens.json +0 -0
- {checkpoint-5000 → checkpoint-7200}/optimizer.pt +1 -1
- {checkpoint-5000 → checkpoint-7200}/rng_state.pth +1 -1
- {checkpoint-5000 → checkpoint-7200}/scheduler.pt +1 -1
- {checkpoint-5000 → checkpoint-7200}/special_tokens_map.json +0 -0
- {checkpoint-5000 → checkpoint-7200}/tokenizer.model +0 -0
- {checkpoint-5000 → checkpoint-7200}/tokenizer_config.json +0 -0
- {checkpoint-5000 → checkpoint-7200}/trainer_state.json +2106 -5
- {checkpoint-5000 → checkpoint-7200}/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 sha256:48d844188e42786596c1f9264103cc6993e2ec36755e9adacddea51fb1d8a910
|
| 3 |
size 319977229
|
checkpoint-6800/adapter_model/adapter_model/README.md
CHANGED
|
@@ -4,6 +4,17 @@ library_name: peft
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
- load_in_8bit: False
|
| 9 |
- load_in_4bit: True
|
|
@@ -16,5 +27,6 @@ The following `bitsandbytes` quantization config was used during training:
|
|
| 16 |
- bnb_4bit_compute_dtype: bfloat16
|
| 17 |
### Framework versions
|
| 18 |
|
|
|
|
| 19 |
|
| 20 |
- PEFT 0.4.0
|
|
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- load_in_8bit: False
|
| 9 |
+
- load_in_4bit: True
|
| 10 |
+
- llm_int8_threshold: 6.0
|
| 11 |
+
- llm_int8_skip_modules: None
|
| 12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 13 |
+
- llm_int8_has_fp16_weight: False
|
| 14 |
+
- bnb_4bit_quant_type: nf4
|
| 15 |
+
- bnb_4bit_use_double_quant: True
|
| 16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 17 |
+
|
| 18 |
The following `bitsandbytes` quantization config was used during training:
|
| 19 |
- load_in_8bit: False
|
| 20 |
- load_in_4bit: True
|
|
|
|
| 27 |
- bnb_4bit_compute_dtype: bfloat16
|
| 28 |
### Framework versions
|
| 29 |
|
| 30 |
+
- PEFT 0.4.0
|
| 31 |
|
| 32 |
- PEFT 0.4.0
|
checkpoint-6800/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 sha256:7b45e762e64b39cba9032b59c419b2c57092c4b4f0c9dc81282479d8630fddd1
|
| 3 |
size 319977229
|
{checkpoint-5000 → checkpoint-7200}/README.md
RENAMED
|
File without changes
|
{checkpoint-5000 → checkpoint-7200}/adapter_config.json
RENAMED
|
File without changes
|
{checkpoint-5000 → checkpoint-7200}/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 sha256:48d844188e42786596c1f9264103cc6993e2ec36755e9adacddea51fb1d8a910
|
| 3 |
size 319977229
|
{checkpoint-5000 → checkpoint-7200}/added_tokens.json
RENAMED
|
File without changes
|
{checkpoint-5000 → checkpoint-7200}/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:fc5067fadf7e7f31a515e720ceba092c93fcc645e06d9b3a23df9f62ee406260
|
| 3 |
size 1279539973
|
{checkpoint-5000 → checkpoint-7200}/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:b3bc9fdadffc458826205b4ca3110e680e4986e3cdf51752d22ba22f6693c19d
|
| 3 |
size 14511
|
{checkpoint-5000 → checkpoint-7200}/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:d4da7c28a3a535a6e57cf63c765db0f804917f5f393e9593c49a21cba57192b2
|
| 3 |
size 627
|
{checkpoint-5000 → checkpoint-7200}/special_tokens_map.json
RENAMED
|
File without changes
|
{checkpoint-5000 → checkpoint-7200}/tokenizer.model
RENAMED
|
File without changes
|
{checkpoint-5000 → checkpoint-7200}/tokenizer_config.json
RENAMED
|
File without changes
|
{checkpoint-5000 → checkpoint-7200}/trainer_state.json
RENAMED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "experts/expert-4/checkpoint-
|
| 4 |
-
"epoch": 0.
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
@@ -4781,11 +4781,2112 @@
|
|
| 4781 |
"mmlu_eval_accuracy_world_religions": 0.8947368421052632,
|
| 4782 |
"mmlu_loss": 0.9450486395751216,
|
| 4783 |
"step": 5000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4784 |
}
|
| 4785 |
],
|
| 4786 |
"max_steps": 10000,
|
| 4787 |
"num_train_epochs": 2,
|
| 4788 |
-
"total_flos":
|
| 4789 |
"trial_name": null,
|
| 4790 |
"trial_params": null
|
| 4791 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.7229225039482117,
|
| 3 |
+
"best_model_checkpoint": "experts/expert-4/checkpoint-6800",
|
| 4 |
+
"epoch": 0.8048739589737857,
|
| 5 |
+
"global_step": 7200,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 4781 |
"mmlu_eval_accuracy_world_religions": 0.8947368421052632,
|
| 4782 |
"mmlu_loss": 0.9450486395751216,
|
| 4783 |
"step": 5000
|
| 4784 |
+
},
|
| 4785 |
+
{
|
| 4786 |
+
"epoch": 0.56,
|
| 4787 |
+
"learning_rate": 0.0002,
|
| 4788 |
+
"loss": 0.7456,
|
| 4789 |
+
"step": 5010
|
| 4790 |
+
},
|
| 4791 |
+
{
|
| 4792 |
+
"epoch": 0.56,
|
| 4793 |
+
"learning_rate": 0.0002,
|
| 4794 |
+
"loss": 0.6729,
|
| 4795 |
+
"step": 5020
|
| 4796 |
+
},
|
| 4797 |
+
{
|
| 4798 |
+
"epoch": 0.56,
|
| 4799 |
+
"learning_rate": 0.0002,
|
| 4800 |
+
"loss": 0.7849,
|
| 4801 |
+
"step": 5030
|
| 4802 |
+
},
|
| 4803 |
+
{
|
| 4804 |
+
"epoch": 0.56,
|
| 4805 |
+
"learning_rate": 0.0002,
|
| 4806 |
+
"loss": 0.7429,
|
| 4807 |
+
"step": 5040
|
| 4808 |
+
},
|
| 4809 |
+
{
|
| 4810 |
+
"epoch": 0.56,
|
| 4811 |
+
"learning_rate": 0.0002,
|
| 4812 |
+
"loss": 0.7743,
|
| 4813 |
+
"step": 5050
|
| 4814 |
+
},
|
| 4815 |
+
{
|
| 4816 |
+
"epoch": 0.57,
|
| 4817 |
+
"learning_rate": 0.0002,
|
| 4818 |
+
"loss": 0.6442,
|
| 4819 |
+
"step": 5060
|
| 4820 |
+
},
|
| 4821 |
+
{
|
| 4822 |
+
"epoch": 0.57,
|
| 4823 |
+
"learning_rate": 0.0002,
|
| 4824 |
+
"loss": 0.7174,
|
| 4825 |
+
"step": 5070
|
| 4826 |
+
},
|
| 4827 |
+
{
|
| 4828 |
+
"epoch": 0.57,
|
| 4829 |
+
"learning_rate": 0.0002,
|
| 4830 |
+
"loss": 0.7322,
|
| 4831 |
+
"step": 5080
|
| 4832 |
+
},
|
| 4833 |
+
{
|
| 4834 |
+
"epoch": 0.57,
|
| 4835 |
+
"learning_rate": 0.0002,
|
| 4836 |
+
"loss": 0.8523,
|
| 4837 |
+
"step": 5090
|
| 4838 |
+
},
|
| 4839 |
+
{
|
| 4840 |
+
"epoch": 0.57,
|
| 4841 |
+
"learning_rate": 0.0002,
|
| 4842 |
+
"loss": 0.7459,
|
| 4843 |
+
"step": 5100
|
| 4844 |
+
},
|
| 4845 |
+
{
|
| 4846 |
+
"epoch": 0.57,
|
| 4847 |
+
"learning_rate": 0.0002,
|
| 4848 |
+
"loss": 0.7132,
|
| 4849 |
+
"step": 5110
|
| 4850 |
+
},
|
| 4851 |
+
{
|
| 4852 |
+
"epoch": 0.57,
|
| 4853 |
+
"learning_rate": 0.0002,
|
| 4854 |
+
"loss": 0.6701,
|
| 4855 |
+
"step": 5120
|
| 4856 |
+
},
|
| 4857 |
+
{
|
| 4858 |
+
"epoch": 0.57,
|
| 4859 |
+
"learning_rate": 0.0002,
|
| 4860 |
+
"loss": 0.6646,
|
| 4861 |
+
"step": 5130
|
| 4862 |
+
},
|
| 4863 |
+
{
|
| 4864 |
+
"epoch": 0.57,
|
| 4865 |
+
"learning_rate": 0.0002,
|
| 4866 |
+
"loss": 0.724,
|
| 4867 |
+
"step": 5140
|
| 4868 |
+
},
|
| 4869 |
+
{
|
| 4870 |
+
"epoch": 0.58,
|
| 4871 |
+
"learning_rate": 0.0002,
|
| 4872 |
+
"loss": 0.7932,
|
| 4873 |
+
"step": 5150
|
| 4874 |
+
},
|
| 4875 |
+
{
|
| 4876 |
+
"epoch": 0.58,
|
| 4877 |
+
"learning_rate": 0.0002,
|
| 4878 |
+
"loss": 0.7287,
|
| 4879 |
+
"step": 5160
|
| 4880 |
+
},
|
| 4881 |
+
{
|
| 4882 |
+
"epoch": 0.58,
|
| 4883 |
+
"learning_rate": 0.0002,
|
| 4884 |
+
"loss": 0.7211,
|
| 4885 |
+
"step": 5170
|
| 4886 |
+
},
|
| 4887 |
+
{
|
| 4888 |
+
"epoch": 0.58,
|
| 4889 |
+
"learning_rate": 0.0002,
|
| 4890 |
+
"loss": 0.7424,
|
| 4891 |
+
"step": 5180
|
| 4892 |
+
},
|
| 4893 |
+
{
|
| 4894 |
+
"epoch": 0.58,
|
| 4895 |
+
"learning_rate": 0.0002,
|
| 4896 |
+
"loss": 0.789,
|
| 4897 |
+
"step": 5190
|
| 4898 |
+
},
|
| 4899 |
+
{
|
| 4900 |
+
"epoch": 0.58,
|
| 4901 |
+
"learning_rate": 0.0002,
|
| 4902 |
+
"loss": 0.8518,
|
| 4903 |
+
"step": 5200
|
| 4904 |
+
},
|
| 4905 |
+
{
|
| 4906 |
+
"epoch": 0.58,
|
| 4907 |
+
"eval_loss": 0.7311785817146301,
|
| 4908 |
+
"eval_runtime": 133.7882,
|
| 4909 |
+
"eval_samples_per_second": 7.475,
|
| 4910 |
+
"eval_steps_per_second": 3.737,
|
| 4911 |
+
"step": 5200
|
| 4912 |
+
},
|
| 4913 |
+
{
|
| 4914 |
+
"epoch": 0.58,
|
| 4915 |
+
"mmlu_eval_accuracy": 0.5220292787339565,
|
| 4916 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 4917 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 4918 |
+
"mmlu_eval_accuracy_astronomy": 0.625,
|
| 4919 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 4920 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
|
| 4921 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 4922 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 4923 |
+
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
|
| 4924 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
| 4925 |
+
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
| 4926 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 4927 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
| 4928 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.5769230769230769,
|
| 4929 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
| 4930 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.5,
|
| 4931 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244,
|
| 4932 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 4933 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 4934 |
+
"mmlu_eval_accuracy_high_school_biology": 0.5625,
|
| 4935 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
|
| 4936 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 4937 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222,
|
| 4938 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 4939 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 4940 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
|
| 4941 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966,
|
| 4942 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769,
|
| 4943 |
+
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
|
| 4944 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334,
|
| 4945 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216,
|
| 4946 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
|
| 4947 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154,
|
| 4948 |
+
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
| 4949 |
+
"mmlu_eval_accuracy_human_sexuality": 0.5833333333333334,
|
| 4950 |
+
"mmlu_eval_accuracy_international_law": 0.6923076923076923,
|
| 4951 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 4952 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 4953 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 4954 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
| 4955 |
+
"mmlu_eval_accuracy_marketing": 0.84,
|
| 4956 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 4957 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6976744186046512,
|
| 4958 |
+
"mmlu_eval_accuracy_moral_disputes": 0.42105263157894735,
|
| 4959 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.22,
|
| 4960 |
+
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
|
| 4961 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 4962 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
| 4963 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 4964 |
+
"mmlu_eval_accuracy_professional_law": 0.34705882352941175,
|
| 4965 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5806451612903226,
|
| 4966 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
|
| 4967 |
+
"mmlu_eval_accuracy_public_relations": 0.4166666666666667,
|
| 4968 |
+
"mmlu_eval_accuracy_security_studies": 0.5555555555555556,
|
| 4969 |
+
"mmlu_eval_accuracy_sociology": 0.7727272727272727,
|
| 4970 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 4971 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 4972 |
+
"mmlu_eval_accuracy_world_religions": 0.8947368421052632,
|
| 4973 |
+
"mmlu_loss": 1.055438042542953,
|
| 4974 |
+
"step": 5200
|
| 4975 |
+
},
|
| 4976 |
+
{
|
| 4977 |
+
"epoch": 0.58,
|
| 4978 |
+
"learning_rate": 0.0002,
|
| 4979 |
+
"loss": 0.78,
|
| 4980 |
+
"step": 5210
|
| 4981 |
+
},
|
| 4982 |
+
{
|
| 4983 |
+
"epoch": 0.58,
|
| 4984 |
+
"learning_rate": 0.0002,
|
| 4985 |
+
"loss": 0.6611,
|
| 4986 |
+
"step": 5220
|
| 4987 |
+
},
|
| 4988 |
+
{
|
| 4989 |
+
"epoch": 0.58,
|
| 4990 |
+
"learning_rate": 0.0002,
|
| 4991 |
+
"loss": 0.7485,
|
| 4992 |
+
"step": 5230
|
| 4993 |
+
},
|
| 4994 |
+
{
|
| 4995 |
+
"epoch": 0.59,
|
| 4996 |
+
"learning_rate": 0.0002,
|
| 4997 |
+
"loss": 0.6969,
|
| 4998 |
+
"step": 5240
|
| 4999 |
+
},
|
| 5000 |
+
{
|
| 5001 |
+
"epoch": 0.59,
|
| 5002 |
+
"learning_rate": 0.0002,
|
| 5003 |
+
"loss": 0.6866,
|
| 5004 |
+
"step": 5250
|
| 5005 |
+
},
|
| 5006 |
+
{
|
| 5007 |
+
"epoch": 0.59,
|
| 5008 |
+
"learning_rate": 0.0002,
|
| 5009 |
+
"loss": 0.7333,
|
| 5010 |
+
"step": 5260
|
| 5011 |
+
},
|
| 5012 |
+
{
|
| 5013 |
+
"epoch": 0.59,
|
| 5014 |
+
"learning_rate": 0.0002,
|
| 5015 |
+
"loss": 0.6648,
|
| 5016 |
+
"step": 5270
|
| 5017 |
+
},
|
| 5018 |
+
{
|
| 5019 |
+
"epoch": 0.59,
|
| 5020 |
+
"learning_rate": 0.0002,
|
| 5021 |
+
"loss": 0.7576,
|
| 5022 |
+
"step": 5280
|
| 5023 |
+
},
|
| 5024 |
+
{
|
| 5025 |
+
"epoch": 0.59,
|
| 5026 |
+
"learning_rate": 0.0002,
|
| 5027 |
+
"loss": 0.7222,
|
| 5028 |
+
"step": 5290
|
| 5029 |
+
},
|
| 5030 |
+
{
|
| 5031 |
+
"epoch": 0.59,
|
| 5032 |
+
"learning_rate": 0.0002,
|
| 5033 |
+
"loss": 0.6631,
|
| 5034 |
+
"step": 5300
|
| 5035 |
+
},
|
| 5036 |
+
{
|
| 5037 |
+
"epoch": 0.59,
|
| 5038 |
+
"learning_rate": 0.0002,
|
| 5039 |
+
"loss": 0.7768,
|
| 5040 |
+
"step": 5310
|
| 5041 |
+
},
|
| 5042 |
+
{
|
| 5043 |
+
"epoch": 0.59,
|
| 5044 |
+
"learning_rate": 0.0002,
|
| 5045 |
+
"loss": 0.7548,
|
| 5046 |
+
"step": 5320
|
| 5047 |
+
},
|
| 5048 |
+
{
|
| 5049 |
+
"epoch": 0.6,
|
| 5050 |
+
"learning_rate": 0.0002,
|
| 5051 |
+
"loss": 0.8303,
|
| 5052 |
+
"step": 5330
|
| 5053 |
+
},
|
| 5054 |
+
{
|
| 5055 |
+
"epoch": 0.6,
|
| 5056 |
+
"learning_rate": 0.0002,
|
| 5057 |
+
"loss": 0.7654,
|
| 5058 |
+
"step": 5340
|
| 5059 |
+
},
|
| 5060 |
+
{
|
| 5061 |
+
"epoch": 0.6,
|
| 5062 |
+
"learning_rate": 0.0002,
|
| 5063 |
+
"loss": 0.7272,
|
| 5064 |
+
"step": 5350
|
| 5065 |
+
},
|
| 5066 |
+
{
|
| 5067 |
+
"epoch": 0.6,
|
| 5068 |
+
"learning_rate": 0.0002,
|
| 5069 |
+
"loss": 0.658,
|
| 5070 |
+
"step": 5360
|
| 5071 |
+
},
|
| 5072 |
+
{
|
| 5073 |
+
"epoch": 0.6,
|
| 5074 |
+
"learning_rate": 0.0002,
|
| 5075 |
+
"loss": 0.7735,
|
| 5076 |
+
"step": 5370
|
| 5077 |
+
},
|
| 5078 |
+
{
|
| 5079 |
+
"epoch": 0.6,
|
| 5080 |
+
"learning_rate": 0.0002,
|
| 5081 |
+
"loss": 0.6828,
|
| 5082 |
+
"step": 5380
|
| 5083 |
+
},
|
| 5084 |
+
{
|
| 5085 |
+
"epoch": 0.6,
|
| 5086 |
+
"learning_rate": 0.0002,
|
| 5087 |
+
"loss": 0.7471,
|
| 5088 |
+
"step": 5390
|
| 5089 |
+
},
|
| 5090 |
+
{
|
| 5091 |
+
"epoch": 0.6,
|
| 5092 |
+
"learning_rate": 0.0002,
|
| 5093 |
+
"loss": 0.7102,
|
| 5094 |
+
"step": 5400
|
| 5095 |
+
},
|
| 5096 |
+
{
|
| 5097 |
+
"epoch": 0.6,
|
| 5098 |
+
"eval_loss": 0.7356892228126526,
|
| 5099 |
+
"eval_runtime": 133.8949,
|
| 5100 |
+
"eval_samples_per_second": 7.469,
|
| 5101 |
+
"eval_steps_per_second": 3.734,
|
| 5102 |
+
"step": 5400
|
| 5103 |
+
},
|
| 5104 |
+
{
|
| 5105 |
+
"epoch": 0.6,
|
| 5106 |
+
"mmlu_eval_accuracy": 0.492140950643189,
|
| 5107 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
|
| 5108 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 5109 |
+
"mmlu_eval_accuracy_astronomy": 0.625,
|
| 5110 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 5111 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
| 5112 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 5113 |
+
"mmlu_eval_accuracy_college_chemistry": 0.0,
|
| 5114 |
+
"mmlu_eval_accuracy_college_computer_science": 0.5454545454545454,
|
| 5115 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
| 5116 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
| 5117 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 5118 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
| 5119 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.6153846153846154,
|
| 5120 |
+
"mmlu_eval_accuracy_econometrics": 0.08333333333333333,
|
| 5121 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.4375,
|
| 5122 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
| 5123 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 5124 |
+
"mmlu_eval_accuracy_global_facts": 0.3,
|
| 5125 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 5126 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
|
| 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": 0.9090909090909091,
|
| 5130 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
| 5131 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
|
| 5132 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
|
| 5133 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
| 5134 |
+
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
|
| 5135 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
|
| 5136 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
|
| 5137 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 5138 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
|
| 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": 0.5454545454545454,
|
| 5146 |
+
"mmlu_eval_accuracy_marketing": 0.88,
|
| 5147 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 5148 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
| 5149 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 5150 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
| 5151 |
+
"mmlu_eval_accuracy_nutrition": 0.696969696969697,
|
| 5152 |
+
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
| 5153 |
+
"mmlu_eval_accuracy_prehistory": 0.45714285714285713,
|
| 5154 |
+
"mmlu_eval_accuracy_professional_accounting": 0.45161290322580644,
|
| 5155 |
+
"mmlu_eval_accuracy_professional_law": 0.3235294117647059,
|
| 5156 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6129032258064516,
|
| 5157 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
| 5158 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 5159 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
| 5160 |
+
"mmlu_eval_accuracy_sociology": 0.8181818181818182,
|
| 5161 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
| 5162 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 5163 |
+
"mmlu_eval_accuracy_world_religions": 0.8421052631578947,
|
| 5164 |
+
"mmlu_loss": 0.9140872581236978,
|
| 5165 |
+
"step": 5400
|
| 5166 |
+
},
|
| 5167 |
+
{
|
| 5168 |
+
"epoch": 0.6,
|
| 5169 |
+
"learning_rate": 0.0002,
|
| 5170 |
+
"loss": 0.7793,
|
| 5171 |
+
"step": 5410
|
| 5172 |
+
},
|
| 5173 |
+
{
|
| 5174 |
+
"epoch": 0.61,
|
| 5175 |
+
"learning_rate": 0.0002,
|
| 5176 |
+
"loss": 0.8121,
|
| 5177 |
+
"step": 5420
|
| 5178 |
+
},
|
| 5179 |
+
{
|
| 5180 |
+
"epoch": 0.61,
|
| 5181 |
+
"learning_rate": 0.0002,
|
| 5182 |
+
"loss": 0.6735,
|
| 5183 |
+
"step": 5430
|
| 5184 |
+
},
|
| 5185 |
+
{
|
| 5186 |
+
"epoch": 0.61,
|
| 5187 |
+
"learning_rate": 0.0002,
|
| 5188 |
+
"loss": 0.7642,
|
| 5189 |
+
"step": 5440
|
| 5190 |
+
},
|
| 5191 |
+
{
|
| 5192 |
+
"epoch": 0.61,
|
| 5193 |
+
"learning_rate": 0.0002,
|
| 5194 |
+
"loss": 0.639,
|
| 5195 |
+
"step": 5450
|
| 5196 |
+
},
|
| 5197 |
+
{
|
| 5198 |
+
"epoch": 0.61,
|
| 5199 |
+
"learning_rate": 0.0002,
|
| 5200 |
+
"loss": 0.7216,
|
| 5201 |
+
"step": 5460
|
| 5202 |
+
},
|
| 5203 |
+
{
|
| 5204 |
+
"epoch": 0.61,
|
| 5205 |
+
"learning_rate": 0.0002,
|
| 5206 |
+
"loss": 0.5886,
|
| 5207 |
+
"step": 5470
|
| 5208 |
+
},
|
| 5209 |
+
{
|
| 5210 |
+
"epoch": 0.61,
|
| 5211 |
+
"learning_rate": 0.0002,
|
| 5212 |
+
"loss": 0.7149,
|
| 5213 |
+
"step": 5480
|
| 5214 |
+
},
|
| 5215 |
+
{
|
| 5216 |
+
"epoch": 0.61,
|
| 5217 |
+
"learning_rate": 0.0002,
|
| 5218 |
+
"loss": 0.8108,
|
| 5219 |
+
"step": 5490
|
| 5220 |
+
},
|
| 5221 |
+
{
|
| 5222 |
+
"epoch": 0.61,
|
| 5223 |
+
"learning_rate": 0.0002,
|
| 5224 |
+
"loss": 0.7307,
|
| 5225 |
+
"step": 5500
|
| 5226 |
+
},
|
| 5227 |
+
{
|
| 5228 |
+
"epoch": 0.62,
|
| 5229 |
+
"learning_rate": 0.0002,
|
| 5230 |
+
"loss": 0.5537,
|
| 5231 |
+
"step": 5510
|
| 5232 |
+
},
|
| 5233 |
+
{
|
| 5234 |
+
"epoch": 0.62,
|
| 5235 |
+
"learning_rate": 0.0002,
|
| 5236 |
+
"loss": 0.734,
|
| 5237 |
+
"step": 5520
|
| 5238 |
+
},
|
| 5239 |
+
{
|
| 5240 |
+
"epoch": 0.62,
|
| 5241 |
+
"learning_rate": 0.0002,
|
| 5242 |
+
"loss": 0.7498,
|
| 5243 |
+
"step": 5530
|
| 5244 |
+
},
|
| 5245 |
+
{
|
| 5246 |
+
"epoch": 0.62,
|
| 5247 |
+
"learning_rate": 0.0002,
|
| 5248 |
+
"loss": 0.7673,
|
| 5249 |
+
"step": 5540
|
| 5250 |
+
},
|
| 5251 |
+
{
|
| 5252 |
+
"epoch": 0.62,
|
| 5253 |
+
"learning_rate": 0.0002,
|
| 5254 |
+
"loss": 0.7387,
|
| 5255 |
+
"step": 5550
|
| 5256 |
+
},
|
| 5257 |
+
{
|
| 5258 |
+
"epoch": 0.62,
|
| 5259 |
+
"learning_rate": 0.0002,
|
| 5260 |
+
"loss": 0.5929,
|
| 5261 |
+
"step": 5560
|
| 5262 |
+
},
|
| 5263 |
+
{
|
| 5264 |
+
"epoch": 0.62,
|
| 5265 |
+
"learning_rate": 0.0002,
|
| 5266 |
+
"loss": 0.6754,
|
| 5267 |
+
"step": 5570
|
| 5268 |
+
},
|
| 5269 |
+
{
|
| 5270 |
+
"epoch": 0.62,
|
| 5271 |
+
"learning_rate": 0.0002,
|
| 5272 |
+
"loss": 0.7214,
|
| 5273 |
+
"step": 5580
|
| 5274 |
+
},
|
| 5275 |
+
{
|
| 5276 |
+
"epoch": 0.62,
|
| 5277 |
+
"learning_rate": 0.0002,
|
| 5278 |
+
"loss": 0.7545,
|
| 5279 |
+
"step": 5590
|
| 5280 |
+
},
|
| 5281 |
+
{
|
| 5282 |
+
"epoch": 0.63,
|
| 5283 |
+
"learning_rate": 0.0002,
|
| 5284 |
+
"loss": 0.8808,
|
| 5285 |
+
"step": 5600
|
| 5286 |
+
},
|
| 5287 |
+
{
|
| 5288 |
+
"epoch": 0.63,
|
| 5289 |
+
"eval_loss": 0.7327717542648315,
|
| 5290 |
+
"eval_runtime": 133.9533,
|
| 5291 |
+
"eval_samples_per_second": 7.465,
|
| 5292 |
+
"eval_steps_per_second": 3.733,
|
| 5293 |
+
"step": 5600
|
| 5294 |
+
},
|
| 5295 |
+
{
|
| 5296 |
+
"epoch": 0.63,
|
| 5297 |
+
"mmlu_eval_accuracy": 0.4815276776532176,
|
| 5298 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 5299 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 5300 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 5301 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 5302 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241,
|
| 5303 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
| 5304 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 5305 |
+
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
|
| 5306 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 5307 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
| 5308 |
+
"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
|
| 5309 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 5310 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
|
| 5311 |
+
"mmlu_eval_accuracy_econometrics": 0.3333333333333333,
|
| 5312 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 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": 0.34375,
|
| 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": 0.5555555555555556,
|
| 5320 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
| 5321 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.47619047619047616,
|
| 5322 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3953488372093023,
|
| 5323 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 5324 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384,
|
| 5325 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 5326 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333,
|
| 5327 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
| 5328 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 5329 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154,
|
| 5330 |
+
"mmlu_eval_accuracy_human_aging": 0.6086956521739131,
|
| 5331 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 5332 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 5333 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 5334 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 5335 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
| 5336 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 5337 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
| 5338 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 5339 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
| 5340 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5526315789473685,
|
| 5341 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.27,
|
| 5342 |
+
"mmlu_eval_accuracy_nutrition": 0.6363636363636364,
|
| 5343 |
+
"mmlu_eval_accuracy_philosophy": 0.4117647058823529,
|
| 5344 |
+
"mmlu_eval_accuracy_prehistory": 0.42857142857142855,
|
| 5345 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
|
| 5346 |
+
"mmlu_eval_accuracy_professional_law": 0.36470588235294116,
|
| 5347 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5161290322580645,
|
| 5348 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
|
| 5349 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
| 5350 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 5351 |
+
"mmlu_eval_accuracy_sociology": 0.7272727272727273,
|
| 5352 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
| 5353 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 5354 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 5355 |
+
"mmlu_loss": 1.0687501477199186,
|
| 5356 |
+
"step": 5600
|
| 5357 |
+
},
|
| 5358 |
+
{
|
| 5359 |
+
"epoch": 0.63,
|
| 5360 |
+
"learning_rate": 0.0002,
|
| 5361 |
+
"loss": 0.8089,
|
| 5362 |
+
"step": 5610
|
| 5363 |
+
},
|
| 5364 |
+
{
|
| 5365 |
+
"epoch": 0.63,
|
| 5366 |
+
"learning_rate": 0.0002,
|
| 5367 |
+
"loss": 0.7176,
|
| 5368 |
+
"step": 5620
|
| 5369 |
+
},
|
| 5370 |
+
{
|
| 5371 |
+
"epoch": 0.63,
|
| 5372 |
+
"learning_rate": 0.0002,
|
| 5373 |
+
"loss": 0.7577,
|
| 5374 |
+
"step": 5630
|
| 5375 |
+
},
|
| 5376 |
+
{
|
| 5377 |
+
"epoch": 0.63,
|
| 5378 |
+
"learning_rate": 0.0002,
|
| 5379 |
+
"loss": 0.639,
|
| 5380 |
+
"step": 5640
|
| 5381 |
+
},
|
| 5382 |
+
{
|
| 5383 |
+
"epoch": 0.63,
|
| 5384 |
+
"learning_rate": 0.0002,
|
| 5385 |
+
"loss": 0.7752,
|
| 5386 |
+
"step": 5650
|
| 5387 |
+
},
|
| 5388 |
+
{
|
| 5389 |
+
"epoch": 0.63,
|
| 5390 |
+
"learning_rate": 0.0002,
|
| 5391 |
+
"loss": 0.7445,
|
| 5392 |
+
"step": 5660
|
| 5393 |
+
},
|
| 5394 |
+
{
|
| 5395 |
+
"epoch": 0.63,
|
| 5396 |
+
"learning_rate": 0.0002,
|
| 5397 |
+
"loss": 0.7355,
|
| 5398 |
+
"step": 5670
|
| 5399 |
+
},
|
| 5400 |
+
{
|
| 5401 |
+
"epoch": 0.63,
|
| 5402 |
+
"learning_rate": 0.0002,
|
| 5403 |
+
"loss": 0.6133,
|
| 5404 |
+
"step": 5680
|
| 5405 |
+
},
|
| 5406 |
+
{
|
| 5407 |
+
"epoch": 0.64,
|
| 5408 |
+
"learning_rate": 0.0002,
|
| 5409 |
+
"loss": 0.7981,
|
| 5410 |
+
"step": 5690
|
| 5411 |
+
},
|
| 5412 |
+
{
|
| 5413 |
+
"epoch": 0.64,
|
| 5414 |
+
"learning_rate": 0.0002,
|
| 5415 |
+
"loss": 0.7717,
|
| 5416 |
+
"step": 5700
|
| 5417 |
+
},
|
| 5418 |
+
{
|
| 5419 |
+
"epoch": 0.64,
|
| 5420 |
+
"learning_rate": 0.0002,
|
| 5421 |
+
"loss": 0.7383,
|
| 5422 |
+
"step": 5710
|
| 5423 |
+
},
|
| 5424 |
+
{
|
| 5425 |
+
"epoch": 0.64,
|
| 5426 |
+
"learning_rate": 0.0002,
|
| 5427 |
+
"loss": 0.7865,
|
| 5428 |
+
"step": 5720
|
| 5429 |
+
},
|
| 5430 |
+
{
|
| 5431 |
+
"epoch": 0.64,
|
| 5432 |
+
"learning_rate": 0.0002,
|
| 5433 |
+
"loss": 0.7674,
|
| 5434 |
+
"step": 5730
|
| 5435 |
+
},
|
| 5436 |
+
{
|
| 5437 |
+
"epoch": 0.64,
|
| 5438 |
+
"learning_rate": 0.0002,
|
| 5439 |
+
"loss": 0.6665,
|
| 5440 |
+
"step": 5740
|
| 5441 |
+
},
|
| 5442 |
+
{
|
| 5443 |
+
"epoch": 0.64,
|
| 5444 |
+
"learning_rate": 0.0002,
|
| 5445 |
+
"loss": 0.7025,
|
| 5446 |
+
"step": 5750
|
| 5447 |
+
},
|
| 5448 |
+
{
|
| 5449 |
+
"epoch": 0.64,
|
| 5450 |
+
"learning_rate": 0.0002,
|
| 5451 |
+
"loss": 0.8471,
|
| 5452 |
+
"step": 5760
|
| 5453 |
+
},
|
| 5454 |
+
{
|
| 5455 |
+
"epoch": 0.65,
|
| 5456 |
+
"learning_rate": 0.0002,
|
| 5457 |
+
"loss": 0.6446,
|
| 5458 |
+
"step": 5770
|
| 5459 |
+
},
|
| 5460 |
+
{
|
| 5461 |
+
"epoch": 0.65,
|
| 5462 |
+
"learning_rate": 0.0002,
|
| 5463 |
+
"loss": 0.6375,
|
| 5464 |
+
"step": 5780
|
| 5465 |
+
},
|
| 5466 |
+
{
|
| 5467 |
+
"epoch": 0.65,
|
| 5468 |
+
"learning_rate": 0.0002,
|
| 5469 |
+
"loss": 0.8063,
|
| 5470 |
+
"step": 5790
|
| 5471 |
+
},
|
| 5472 |
+
{
|
| 5473 |
+
"epoch": 0.65,
|
| 5474 |
+
"learning_rate": 0.0002,
|
| 5475 |
+
"loss": 0.7628,
|
| 5476 |
+
"step": 5800
|
| 5477 |
+
},
|
| 5478 |
+
{
|
| 5479 |
+
"epoch": 0.65,
|
| 5480 |
+
"eval_loss": 0.7311202883720398,
|
| 5481 |
+
"eval_runtime": 133.8445,
|
| 5482 |
+
"eval_samples_per_second": 7.471,
|
| 5483 |
+
"eval_steps_per_second": 3.736,
|
| 5484 |
+
"step": 5800
|
| 5485 |
+
},
|
| 5486 |
+
{
|
| 5487 |
+
"epoch": 0.65,
|
| 5488 |
+
"mmlu_eval_accuracy": 0.51251895005488,
|
| 5489 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 5490 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 5491 |
+
"mmlu_eval_accuracy_astronomy": 0.625,
|
| 5492 |
+
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 5493 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
|
| 5494 |
+
"mmlu_eval_accuracy_college_biology": 0.5625,
|
| 5495 |
+
"mmlu_eval_accuracy_college_chemistry": 0.0,
|
| 5496 |
+
"mmlu_eval_accuracy_college_computer_science": 0.5454545454545454,
|
| 5497 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 5498 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
| 5499 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
| 5500 |
+
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
|
| 5501 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.5769230769230769,
|
| 5502 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
| 5503 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 5504 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
| 5505 |
+
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
| 5506 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 5507 |
+
"mmlu_eval_accuracy_high_school_biology": 0.46875,
|
| 5508 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
|
| 5509 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 5510 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222,
|
| 5511 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 5512 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238,
|
| 5513 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
|
| 5514 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 5515 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384,
|
| 5516 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 5517 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667,
|
| 5518 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
| 5519 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 5520 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769,
|
| 5521 |
+
"mmlu_eval_accuracy_human_aging": 0.6086956521739131,
|
| 5522 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 5523 |
+
"mmlu_eval_accuracy_international_law": 0.6923076923076923,
|
| 5524 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 5525 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 5526 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
| 5527 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
| 5528 |
+
"mmlu_eval_accuracy_marketing": 0.84,
|
| 5529 |
+
"mmlu_eval_accuracy_medical_genetics": 1.0,
|
| 5530 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
| 5531 |
+
"mmlu_eval_accuracy_moral_disputes": 0.42105263157894735,
|
| 5532 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
| 5533 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 5534 |
+
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
| 5535 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
| 5536 |
+
"mmlu_eval_accuracy_professional_accounting": 0.4838709677419355,
|
| 5537 |
+
"mmlu_eval_accuracy_professional_law": 0.35294117647058826,
|
| 5538 |
+
"mmlu_eval_accuracy_professional_medicine": 0.6129032258064516,
|
| 5539 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5362318840579711,
|
| 5540 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 5541 |
+
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
| 5542 |
+
"mmlu_eval_accuracy_sociology": 0.7727272727272727,
|
| 5543 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182,
|
| 5544 |
+
"mmlu_eval_accuracy_virology": 0.6111111111111112,
|
| 5545 |
+
"mmlu_eval_accuracy_world_religions": 0.7894736842105263,
|
| 5546 |
+
"mmlu_loss": 0.9438617095234499,
|
| 5547 |
+
"step": 5800
|
| 5548 |
+
},
|
| 5549 |
+
{
|
| 5550 |
+
"epoch": 0.65,
|
| 5551 |
+
"learning_rate": 0.0002,
|
| 5552 |
+
"loss": 0.7504,
|
| 5553 |
+
"step": 5810
|
| 5554 |
+
},
|
| 5555 |
+
{
|
| 5556 |
+
"epoch": 0.65,
|
| 5557 |
+
"learning_rate": 0.0002,
|
| 5558 |
+
"loss": 0.787,
|
| 5559 |
+
"step": 5820
|
| 5560 |
+
},
|
| 5561 |
+
{
|
| 5562 |
+
"epoch": 0.65,
|
| 5563 |
+
"learning_rate": 0.0002,
|
| 5564 |
+
"loss": 0.8835,
|
| 5565 |
+
"step": 5830
|
| 5566 |
+
},
|
| 5567 |
+
{
|
| 5568 |
+
"epoch": 0.65,
|
| 5569 |
+
"learning_rate": 0.0002,
|
| 5570 |
+
"loss": 0.6397,
|
| 5571 |
+
"step": 5840
|
| 5572 |
+
},
|
| 5573 |
+
{
|
| 5574 |
+
"epoch": 0.65,
|
| 5575 |
+
"learning_rate": 0.0002,
|
| 5576 |
+
"loss": 0.7431,
|
| 5577 |
+
"step": 5850
|
| 5578 |
+
},
|
| 5579 |
+
{
|
| 5580 |
+
"epoch": 0.66,
|
| 5581 |
+
"learning_rate": 0.0002,
|
| 5582 |
+
"loss": 0.7642,
|
| 5583 |
+
"step": 5860
|
| 5584 |
+
},
|
| 5585 |
+
{
|
| 5586 |
+
"epoch": 0.66,
|
| 5587 |
+
"learning_rate": 0.0002,
|
| 5588 |
+
"loss": 0.7145,
|
| 5589 |
+
"step": 5870
|
| 5590 |
+
},
|
| 5591 |
+
{
|
| 5592 |
+
"epoch": 0.66,
|
| 5593 |
+
"learning_rate": 0.0002,
|
| 5594 |
+
"loss": 0.6849,
|
| 5595 |
+
"step": 5880
|
| 5596 |
+
},
|
| 5597 |
+
{
|
| 5598 |
+
"epoch": 0.66,
|
| 5599 |
+
"learning_rate": 0.0002,
|
| 5600 |
+
"loss": 0.7892,
|
| 5601 |
+
"step": 5890
|
| 5602 |
+
},
|
| 5603 |
+
{
|
| 5604 |
+
"epoch": 0.66,
|
| 5605 |
+
"learning_rate": 0.0002,
|
| 5606 |
+
"loss": 0.8894,
|
| 5607 |
+
"step": 5900
|
| 5608 |
+
},
|
| 5609 |
+
{
|
| 5610 |
+
"epoch": 0.66,
|
| 5611 |
+
"learning_rate": 0.0002,
|
| 5612 |
+
"loss": 0.7159,
|
| 5613 |
+
"step": 5910
|
| 5614 |
+
},
|
| 5615 |
+
{
|
| 5616 |
+
"epoch": 0.66,
|
| 5617 |
+
"learning_rate": 0.0002,
|
| 5618 |
+
"loss": 0.7377,
|
| 5619 |
+
"step": 5920
|
| 5620 |
+
},
|
| 5621 |
+
{
|
| 5622 |
+
"epoch": 0.66,
|
| 5623 |
+
"learning_rate": 0.0002,
|
| 5624 |
+
"loss": 0.6979,
|
| 5625 |
+
"step": 5930
|
| 5626 |
+
},
|
| 5627 |
+
{
|
| 5628 |
+
"epoch": 0.66,
|
| 5629 |
+
"learning_rate": 0.0002,
|
| 5630 |
+
"loss": 0.7603,
|
| 5631 |
+
"step": 5940
|
| 5632 |
+
},
|
| 5633 |
+
{
|
| 5634 |
+
"epoch": 0.67,
|
| 5635 |
+
"learning_rate": 0.0002,
|
| 5636 |
+
"loss": 0.7723,
|
| 5637 |
+
"step": 5950
|
| 5638 |
+
},
|
| 5639 |
+
{
|
| 5640 |
+
"epoch": 0.67,
|
| 5641 |
+
"learning_rate": 0.0002,
|
| 5642 |
+
"loss": 0.6461,
|
| 5643 |
+
"step": 5960
|
| 5644 |
+
},
|
| 5645 |
+
{
|
| 5646 |
+
"epoch": 0.67,
|
| 5647 |
+
"learning_rate": 0.0002,
|
| 5648 |
+
"loss": 0.6774,
|
| 5649 |
+
"step": 5970
|
| 5650 |
+
},
|
| 5651 |
+
{
|
| 5652 |
+
"epoch": 0.67,
|
| 5653 |
+
"learning_rate": 0.0002,
|
| 5654 |
+
"loss": 0.8045,
|
| 5655 |
+
"step": 5980
|
| 5656 |
+
},
|
| 5657 |
+
{
|
| 5658 |
+
"epoch": 0.67,
|
| 5659 |
+
"learning_rate": 0.0002,
|
| 5660 |
+
"loss": 0.7093,
|
| 5661 |
+
"step": 5990
|
| 5662 |
+
},
|
| 5663 |
+
{
|
| 5664 |
+
"epoch": 0.67,
|
| 5665 |
+
"learning_rate": 0.0002,
|
| 5666 |
+
"loss": 0.7327,
|
| 5667 |
+
"step": 6000
|
| 5668 |
+
},
|
| 5669 |
+
{
|
| 5670 |
+
"epoch": 0.67,
|
| 5671 |
+
"eval_loss": 0.7304873466491699,
|
| 5672 |
+
"eval_runtime": 133.9409,
|
| 5673 |
+
"eval_samples_per_second": 7.466,
|
| 5674 |
+
"eval_steps_per_second": 3.733,
|
| 5675 |
+
"step": 6000
|
| 5676 |
+
},
|
| 5677 |
+
{
|
| 5678 |
+
"epoch": 0.67,
|
| 5679 |
+
"mmlu_eval_accuracy": 0.5033617036874508,
|
| 5680 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
|
| 5681 |
+
"mmlu_eval_accuracy_anatomy": 0.5,
|
| 5682 |
+
"mmlu_eval_accuracy_astronomy": 0.5625,
|
| 5683 |
+
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
|
| 5684 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
| 5685 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
| 5686 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 5687 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 5688 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 5689 |
+
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
| 5690 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 5691 |
+
"mmlu_eval_accuracy_computer_security": 0.6363636363636364,
|
| 5692 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156,
|
| 5693 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
| 5694 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 5695 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536,
|
| 5696 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 5697 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
| 5698 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
| 5699 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 5700 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 5701 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
|
| 5702 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 5703 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
| 5704 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3953488372093023,
|
| 5705 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 5706 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
| 5707 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 5708 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667,
|
| 5709 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
| 5710 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 5711 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154,
|
| 5712 |
+
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
| 5713 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 5714 |
+
"mmlu_eval_accuracy_international_law": 0.6923076923076923,
|
| 5715 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 5716 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 5717 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 5718 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 5719 |
+
"mmlu_eval_accuracy_marketing": 0.84,
|
| 5720 |
+
"mmlu_eval_accuracy_medical_genetics": 1.0,
|
| 5721 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
| 5722 |
+
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
|
| 5723 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.22,
|
| 5724 |
+
"mmlu_eval_accuracy_nutrition": 0.5757575757575758,
|
| 5725 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 5726 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 5727 |
+
"mmlu_eval_accuracy_professional_accounting": 0.45161290322580644,
|
| 5728 |
+
"mmlu_eval_accuracy_professional_law": 0.38235294117647056,
|
| 5729 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5161290322580645,
|
| 5730 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5362318840579711,
|
| 5731 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 5732 |
+
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
| 5733 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 5734 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 5735 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 5736 |
+
"mmlu_eval_accuracy_world_religions": 0.7894736842105263,
|
| 5737 |
+
"mmlu_loss": 0.9632397257861518,
|
| 5738 |
+
"step": 6000
|
| 5739 |
+
},
|
| 5740 |
+
{
|
| 5741 |
+
"epoch": 0.67,
|
| 5742 |
+
"learning_rate": 0.0002,
|
| 5743 |
+
"loss": 0.7012,
|
| 5744 |
+
"step": 6010
|
| 5745 |
+
},
|
| 5746 |
+
{
|
| 5747 |
+
"epoch": 0.67,
|
| 5748 |
+
"learning_rate": 0.0002,
|
| 5749 |
+
"loss": 0.7146,
|
| 5750 |
+
"step": 6020
|
| 5751 |
+
},
|
| 5752 |
+
{
|
| 5753 |
+
"epoch": 0.67,
|
| 5754 |
+
"learning_rate": 0.0002,
|
| 5755 |
+
"loss": 0.6171,
|
| 5756 |
+
"step": 6030
|
| 5757 |
+
},
|
| 5758 |
+
{
|
| 5759 |
+
"epoch": 0.68,
|
| 5760 |
+
"learning_rate": 0.0002,
|
| 5761 |
+
"loss": 0.7061,
|
| 5762 |
+
"step": 6040
|
| 5763 |
+
},
|
| 5764 |
+
{
|
| 5765 |
+
"epoch": 0.68,
|
| 5766 |
+
"learning_rate": 0.0002,
|
| 5767 |
+
"loss": 0.8499,
|
| 5768 |
+
"step": 6050
|
| 5769 |
+
},
|
| 5770 |
+
{
|
| 5771 |
+
"epoch": 0.68,
|
| 5772 |
+
"learning_rate": 0.0002,
|
| 5773 |
+
"loss": 0.8027,
|
| 5774 |
+
"step": 6060
|
| 5775 |
+
},
|
| 5776 |
+
{
|
| 5777 |
+
"epoch": 0.68,
|
| 5778 |
+
"learning_rate": 0.0002,
|
| 5779 |
+
"loss": 0.7858,
|
| 5780 |
+
"step": 6070
|
| 5781 |
+
},
|
| 5782 |
+
{
|
| 5783 |
+
"epoch": 0.68,
|
| 5784 |
+
"learning_rate": 0.0002,
|
| 5785 |
+
"loss": 0.7095,
|
| 5786 |
+
"step": 6080
|
| 5787 |
+
},
|
| 5788 |
+
{
|
| 5789 |
+
"epoch": 0.68,
|
| 5790 |
+
"learning_rate": 0.0002,
|
| 5791 |
+
"loss": 0.7967,
|
| 5792 |
+
"step": 6090
|
| 5793 |
+
},
|
| 5794 |
+
{
|
| 5795 |
+
"epoch": 0.68,
|
| 5796 |
+
"learning_rate": 0.0002,
|
| 5797 |
+
"loss": 0.7728,
|
| 5798 |
+
"step": 6100
|
| 5799 |
+
},
|
| 5800 |
+
{
|
| 5801 |
+
"epoch": 0.68,
|
| 5802 |
+
"learning_rate": 0.0002,
|
| 5803 |
+
"loss": 0.7238,
|
| 5804 |
+
"step": 6110
|
| 5805 |
+
},
|
| 5806 |
+
{
|
| 5807 |
+
"epoch": 0.68,
|
| 5808 |
+
"learning_rate": 0.0002,
|
| 5809 |
+
"loss": 0.6484,
|
| 5810 |
+
"step": 6120
|
| 5811 |
+
},
|
| 5812 |
+
{
|
| 5813 |
+
"epoch": 0.69,
|
| 5814 |
+
"learning_rate": 0.0002,
|
| 5815 |
+
"loss": 0.6462,
|
| 5816 |
+
"step": 6130
|
| 5817 |
+
},
|
| 5818 |
+
{
|
| 5819 |
+
"epoch": 0.69,
|
| 5820 |
+
"learning_rate": 0.0002,
|
| 5821 |
+
"loss": 0.6792,
|
| 5822 |
+
"step": 6140
|
| 5823 |
+
},
|
| 5824 |
+
{
|
| 5825 |
+
"epoch": 0.69,
|
| 5826 |
+
"learning_rate": 0.0002,
|
| 5827 |
+
"loss": 0.6605,
|
| 5828 |
+
"step": 6150
|
| 5829 |
+
},
|
| 5830 |
+
{
|
| 5831 |
+
"epoch": 0.69,
|
| 5832 |
+
"learning_rate": 0.0002,
|
| 5833 |
+
"loss": 0.8883,
|
| 5834 |
+
"step": 6160
|
| 5835 |
+
},
|
| 5836 |
+
{
|
| 5837 |
+
"epoch": 0.69,
|
| 5838 |
+
"learning_rate": 0.0002,
|
| 5839 |
+
"loss": 0.8081,
|
| 5840 |
+
"step": 6170
|
| 5841 |
+
},
|
| 5842 |
+
{
|
| 5843 |
+
"epoch": 0.69,
|
| 5844 |
+
"learning_rate": 0.0002,
|
| 5845 |
+
"loss": 0.8386,
|
| 5846 |
+
"step": 6180
|
| 5847 |
+
},
|
| 5848 |
+
{
|
| 5849 |
+
"epoch": 0.69,
|
| 5850 |
+
"learning_rate": 0.0002,
|
| 5851 |
+
"loss": 0.8036,
|
| 5852 |
+
"step": 6190
|
| 5853 |
+
},
|
| 5854 |
+
{
|
| 5855 |
+
"epoch": 0.69,
|
| 5856 |
+
"learning_rate": 0.0002,
|
| 5857 |
+
"loss": 0.7298,
|
| 5858 |
+
"step": 6200
|
| 5859 |
+
},
|
| 5860 |
+
{
|
| 5861 |
+
"epoch": 0.69,
|
| 5862 |
+
"eval_loss": 0.7294755578041077,
|
| 5863 |
+
"eval_runtime": 133.8367,
|
| 5864 |
+
"eval_samples_per_second": 7.472,
|
| 5865 |
+
"eval_steps_per_second": 3.736,
|
| 5866 |
+
"step": 6200
|
| 5867 |
+
},
|
| 5868 |
+
{
|
| 5869 |
+
"epoch": 0.69,
|
| 5870 |
+
"mmlu_eval_accuracy": 0.4707100974830736,
|
| 5871 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 5872 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 5873 |
+
"mmlu_eval_accuracy_astronomy": 0.5625,
|
| 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": 0.125,
|
| 5878 |
+
"mmlu_eval_accuracy_college_computer_science": 0.09090909090909091,
|
| 5879 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 5880 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
| 5881 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
| 5882 |
+
"mmlu_eval_accuracy_computer_security": 0.2727272727272727,
|
| 5883 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 5884 |
+
"mmlu_eval_accuracy_econometrics": 0.4166666666666667,
|
| 5885 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 5886 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
| 5887 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 5888 |
+
"mmlu_eval_accuracy_global_facts": 0.4,
|
| 5889 |
+
"mmlu_eval_accuracy_high_school_biology": 0.34375,
|
| 5890 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
| 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": 0.6190476190476191,
|
| 5895 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791,
|
| 5896 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 5897 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077,
|
| 5898 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 5899 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667,
|
| 5900 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
| 5901 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
|
| 5902 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
| 5903 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
| 5904 |
+
"mmlu_eval_accuracy_human_sexuality": 0.25,
|
| 5905 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
| 5906 |
+
"mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
|
| 5907 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 5908 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
| 5909 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 5910 |
+
"mmlu_eval_accuracy_marketing": 0.88,
|
| 5911 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 5912 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
| 5913 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 5914 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.21,
|
| 5915 |
+
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
|
| 5916 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
| 5917 |
+
"mmlu_eval_accuracy_prehistory": 0.45714285714285713,
|
| 5918 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 5919 |
+
"mmlu_eval_accuracy_professional_law": 0.3176470588235294,
|
| 5920 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
| 5921 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
|
| 5922 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 5923 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
| 5924 |
+
"mmlu_eval_accuracy_sociology": 0.5909090909090909,
|
| 5925 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
|
| 5926 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 5927 |
+
"mmlu_eval_accuracy_world_religions": 0.7894736842105263,
|
| 5928 |
+
"mmlu_loss": 1.1253070027492065,
|
| 5929 |
+
"step": 6200
|
| 5930 |
+
},
|
| 5931 |
+
{
|
| 5932 |
+
"epoch": 0.69,
|
| 5933 |
+
"learning_rate": 0.0002,
|
| 5934 |
+
"loss": 0.8025,
|
| 5935 |
+
"step": 6210
|
| 5936 |
+
},
|
| 5937 |
+
{
|
| 5938 |
+
"epoch": 0.7,
|
| 5939 |
+
"learning_rate": 0.0002,
|
| 5940 |
+
"loss": 0.6823,
|
| 5941 |
+
"step": 6220
|
| 5942 |
+
},
|
| 5943 |
+
{
|
| 5944 |
+
"epoch": 0.7,
|
| 5945 |
+
"learning_rate": 0.0002,
|
| 5946 |
+
"loss": 0.7048,
|
| 5947 |
+
"step": 6230
|
| 5948 |
+
},
|
| 5949 |
+
{
|
| 5950 |
+
"epoch": 0.7,
|
| 5951 |
+
"learning_rate": 0.0002,
|
| 5952 |
+
"loss": 0.6192,
|
| 5953 |
+
"step": 6240
|
| 5954 |
+
},
|
| 5955 |
+
{
|
| 5956 |
+
"epoch": 0.7,
|
| 5957 |
+
"learning_rate": 0.0002,
|
| 5958 |
+
"loss": 0.7806,
|
| 5959 |
+
"step": 6250
|
| 5960 |
+
},
|
| 5961 |
+
{
|
| 5962 |
+
"epoch": 0.7,
|
| 5963 |
+
"learning_rate": 0.0002,
|
| 5964 |
+
"loss": 0.7558,
|
| 5965 |
+
"step": 6260
|
| 5966 |
+
},
|
| 5967 |
+
{
|
| 5968 |
+
"epoch": 0.7,
|
| 5969 |
+
"learning_rate": 0.0002,
|
| 5970 |
+
"loss": 0.5937,
|
| 5971 |
+
"step": 6270
|
| 5972 |
+
},
|
| 5973 |
+
{
|
| 5974 |
+
"epoch": 0.7,
|
| 5975 |
+
"learning_rate": 0.0002,
|
| 5976 |
+
"loss": 0.7113,
|
| 5977 |
+
"step": 6280
|
| 5978 |
+
},
|
| 5979 |
+
{
|
| 5980 |
+
"epoch": 0.7,
|
| 5981 |
+
"learning_rate": 0.0002,
|
| 5982 |
+
"loss": 0.6004,
|
| 5983 |
+
"step": 6290
|
| 5984 |
+
},
|
| 5985 |
+
{
|
| 5986 |
+
"epoch": 0.7,
|
| 5987 |
+
"learning_rate": 0.0002,
|
| 5988 |
+
"loss": 0.8532,
|
| 5989 |
+
"step": 6300
|
| 5990 |
+
},
|
| 5991 |
+
{
|
| 5992 |
+
"epoch": 0.71,
|
| 5993 |
+
"learning_rate": 0.0002,
|
| 5994 |
+
"loss": 0.7288,
|
| 5995 |
+
"step": 6310
|
| 5996 |
+
},
|
| 5997 |
+
{
|
| 5998 |
+
"epoch": 0.71,
|
| 5999 |
+
"learning_rate": 0.0002,
|
| 6000 |
+
"loss": 0.7663,
|
| 6001 |
+
"step": 6320
|
| 6002 |
+
},
|
| 6003 |
+
{
|
| 6004 |
+
"epoch": 0.71,
|
| 6005 |
+
"learning_rate": 0.0002,
|
| 6006 |
+
"loss": 0.6625,
|
| 6007 |
+
"step": 6330
|
| 6008 |
+
},
|
| 6009 |
+
{
|
| 6010 |
+
"epoch": 0.71,
|
| 6011 |
+
"learning_rate": 0.0002,
|
| 6012 |
+
"loss": 0.7516,
|
| 6013 |
+
"step": 6340
|
| 6014 |
+
},
|
| 6015 |
+
{
|
| 6016 |
+
"epoch": 0.71,
|
| 6017 |
+
"learning_rate": 0.0002,
|
| 6018 |
+
"loss": 0.6731,
|
| 6019 |
+
"step": 6350
|
| 6020 |
+
},
|
| 6021 |
+
{
|
| 6022 |
+
"epoch": 0.71,
|
| 6023 |
+
"learning_rate": 0.0002,
|
| 6024 |
+
"loss": 0.7451,
|
| 6025 |
+
"step": 6360
|
| 6026 |
+
},
|
| 6027 |
+
{
|
| 6028 |
+
"epoch": 0.71,
|
| 6029 |
+
"learning_rate": 0.0002,
|
| 6030 |
+
"loss": 0.7792,
|
| 6031 |
+
"step": 6370
|
| 6032 |
+
},
|
| 6033 |
+
{
|
| 6034 |
+
"epoch": 0.71,
|
| 6035 |
+
"learning_rate": 0.0002,
|
| 6036 |
+
"loss": 0.6916,
|
| 6037 |
+
"step": 6380
|
| 6038 |
+
},
|
| 6039 |
+
{
|
| 6040 |
+
"epoch": 0.71,
|
| 6041 |
+
"learning_rate": 0.0002,
|
| 6042 |
+
"loss": 0.6542,
|
| 6043 |
+
"step": 6390
|
| 6044 |
+
},
|
| 6045 |
+
{
|
| 6046 |
+
"epoch": 0.72,
|
| 6047 |
+
"learning_rate": 0.0002,
|
| 6048 |
+
"loss": 0.661,
|
| 6049 |
+
"step": 6400
|
| 6050 |
+
},
|
| 6051 |
+
{
|
| 6052 |
+
"epoch": 0.72,
|
| 6053 |
+
"eval_loss": 0.7265727519989014,
|
| 6054 |
+
"eval_runtime": 133.6855,
|
| 6055 |
+
"eval_samples_per_second": 7.48,
|
| 6056 |
+
"eval_steps_per_second": 3.74,
|
| 6057 |
+
"step": 6400
|
| 6058 |
+
},
|
| 6059 |
+
{
|
| 6060 |
+
"epoch": 0.72,
|
| 6061 |
+
"mmlu_eval_accuracy": 0.49809858794637457,
|
| 6062 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 6063 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 6064 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
| 6065 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 6066 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241,
|
| 6067 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 6068 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 6069 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 6070 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 6071 |
+
"mmlu_eval_accuracy_college_medicine": 0.5,
|
| 6072 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
| 6073 |
+
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
|
| 6074 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.5,
|
| 6075 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 6076 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 6077 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
| 6078 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 6079 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 6080 |
+
"mmlu_eval_accuracy_high_school_biology": 0.5625,
|
| 6081 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.13636363636363635,
|
| 6082 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 6083 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
|
| 6084 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
|
| 6085 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238,
|
| 6086 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
| 6087 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
| 6088 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769,
|
| 6089 |
+
"mmlu_eval_accuracy_high_school_physics": 0.23529411764705882,
|
| 6090 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334,
|
| 6091 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174,
|
| 6092 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 6093 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154,
|
| 6094 |
+
"mmlu_eval_accuracy_human_aging": 0.6086956521739131,
|
| 6095 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 6096 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
| 6097 |
+
"mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
|
| 6098 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 6099 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
| 6100 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 6101 |
+
"mmlu_eval_accuracy_marketing": 0.84,
|
| 6102 |
+
"mmlu_eval_accuracy_medical_genetics": 0.8181818181818182,
|
| 6103 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
| 6104 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 6105 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.22,
|
| 6106 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 6107 |
+
"mmlu_eval_accuracy_philosophy": 0.4117647058823529,
|
| 6108 |
+
"mmlu_eval_accuracy_prehistory": 0.6857142857142857,
|
| 6109 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 6110 |
+
"mmlu_eval_accuracy_professional_law": 0.38823529411764707,
|
| 6111 |
+
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
|
| 6112 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5507246376811594,
|
| 6113 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 6114 |
+
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
| 6115 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 6116 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
| 6117 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 6118 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 6119 |
+
"mmlu_loss": 0.9850227478745712,
|
| 6120 |
+
"step": 6400
|
| 6121 |
+
},
|
| 6122 |
+
{
|
| 6123 |
+
"epoch": 0.72,
|
| 6124 |
+
"learning_rate": 0.0002,
|
| 6125 |
+
"loss": 0.76,
|
| 6126 |
+
"step": 6410
|
| 6127 |
+
},
|
| 6128 |
+
{
|
| 6129 |
+
"epoch": 0.72,
|
| 6130 |
+
"learning_rate": 0.0002,
|
| 6131 |
+
"loss": 0.777,
|
| 6132 |
+
"step": 6420
|
| 6133 |
+
},
|
| 6134 |
+
{
|
| 6135 |
+
"epoch": 0.72,
|
| 6136 |
+
"learning_rate": 0.0002,
|
| 6137 |
+
"loss": 0.7474,
|
| 6138 |
+
"step": 6430
|
| 6139 |
+
},
|
| 6140 |
+
{
|
| 6141 |
+
"epoch": 0.72,
|
| 6142 |
+
"learning_rate": 0.0002,
|
| 6143 |
+
"loss": 0.7083,
|
| 6144 |
+
"step": 6440
|
| 6145 |
+
},
|
| 6146 |
+
{
|
| 6147 |
+
"epoch": 0.72,
|
| 6148 |
+
"learning_rate": 0.0002,
|
| 6149 |
+
"loss": 0.7153,
|
| 6150 |
+
"step": 6450
|
| 6151 |
+
},
|
| 6152 |
+
{
|
| 6153 |
+
"epoch": 0.72,
|
| 6154 |
+
"learning_rate": 0.0002,
|
| 6155 |
+
"loss": 0.6572,
|
| 6156 |
+
"step": 6460
|
| 6157 |
+
},
|
| 6158 |
+
{
|
| 6159 |
+
"epoch": 0.72,
|
| 6160 |
+
"learning_rate": 0.0002,
|
| 6161 |
+
"loss": 0.6472,
|
| 6162 |
+
"step": 6470
|
| 6163 |
+
},
|
| 6164 |
+
{
|
| 6165 |
+
"epoch": 0.72,
|
| 6166 |
+
"learning_rate": 0.0002,
|
| 6167 |
+
"loss": 0.8041,
|
| 6168 |
+
"step": 6480
|
| 6169 |
+
},
|
| 6170 |
+
{
|
| 6171 |
+
"epoch": 0.73,
|
| 6172 |
+
"learning_rate": 0.0002,
|
| 6173 |
+
"loss": 0.7238,
|
| 6174 |
+
"step": 6490
|
| 6175 |
+
},
|
| 6176 |
+
{
|
| 6177 |
+
"epoch": 0.73,
|
| 6178 |
+
"learning_rate": 0.0002,
|
| 6179 |
+
"loss": 0.779,
|
| 6180 |
+
"step": 6500
|
| 6181 |
+
},
|
| 6182 |
+
{
|
| 6183 |
+
"epoch": 0.73,
|
| 6184 |
+
"learning_rate": 0.0002,
|
| 6185 |
+
"loss": 0.8241,
|
| 6186 |
+
"step": 6510
|
| 6187 |
+
},
|
| 6188 |
+
{
|
| 6189 |
+
"epoch": 0.73,
|
| 6190 |
+
"learning_rate": 0.0002,
|
| 6191 |
+
"loss": 0.6237,
|
| 6192 |
+
"step": 6520
|
| 6193 |
+
},
|
| 6194 |
+
{
|
| 6195 |
+
"epoch": 0.73,
|
| 6196 |
+
"learning_rate": 0.0002,
|
| 6197 |
+
"loss": 0.7347,
|
| 6198 |
+
"step": 6530
|
| 6199 |
+
},
|
| 6200 |
+
{
|
| 6201 |
+
"epoch": 0.73,
|
| 6202 |
+
"learning_rate": 0.0002,
|
| 6203 |
+
"loss": 0.6243,
|
| 6204 |
+
"step": 6540
|
| 6205 |
+
},
|
| 6206 |
+
{
|
| 6207 |
+
"epoch": 0.73,
|
| 6208 |
+
"learning_rate": 0.0002,
|
| 6209 |
+
"loss": 0.7694,
|
| 6210 |
+
"step": 6550
|
| 6211 |
+
},
|
| 6212 |
+
{
|
| 6213 |
+
"epoch": 0.73,
|
| 6214 |
+
"learning_rate": 0.0002,
|
| 6215 |
+
"loss": 0.7634,
|
| 6216 |
+
"step": 6560
|
| 6217 |
+
},
|
| 6218 |
+
{
|
| 6219 |
+
"epoch": 0.73,
|
| 6220 |
+
"learning_rate": 0.0002,
|
| 6221 |
+
"loss": 0.7448,
|
| 6222 |
+
"step": 6570
|
| 6223 |
+
},
|
| 6224 |
+
{
|
| 6225 |
+
"epoch": 0.74,
|
| 6226 |
+
"learning_rate": 0.0002,
|
| 6227 |
+
"loss": 0.7376,
|
| 6228 |
+
"step": 6580
|
| 6229 |
+
},
|
| 6230 |
+
{
|
| 6231 |
+
"epoch": 0.74,
|
| 6232 |
+
"learning_rate": 0.0002,
|
| 6233 |
+
"loss": 0.7703,
|
| 6234 |
+
"step": 6590
|
| 6235 |
+
},
|
| 6236 |
+
{
|
| 6237 |
+
"epoch": 0.74,
|
| 6238 |
+
"learning_rate": 0.0002,
|
| 6239 |
+
"loss": 0.6609,
|
| 6240 |
+
"step": 6600
|
| 6241 |
+
},
|
| 6242 |
+
{
|
| 6243 |
+
"epoch": 0.74,
|
| 6244 |
+
"eval_loss": 0.7248952984809875,
|
| 6245 |
+
"eval_runtime": 133.8066,
|
| 6246 |
+
"eval_samples_per_second": 7.473,
|
| 6247 |
+
"eval_steps_per_second": 3.737,
|
| 6248 |
+
"step": 6600
|
| 6249 |
+
},
|
| 6250 |
+
{
|
| 6251 |
+
"epoch": 0.74,
|
| 6252 |
+
"mmlu_eval_accuracy": 0.5149231107622494,
|
| 6253 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
|
| 6254 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 6255 |
+
"mmlu_eval_accuracy_astronomy": 0.5625,
|
| 6256 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 6257 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241,
|
| 6258 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 6259 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 6260 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 6261 |
+
"mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
|
| 6262 |
+
"mmlu_eval_accuracy_college_medicine": 0.5,
|
| 6263 |
+
"mmlu_eval_accuracy_college_physics": 0.2727272727272727,
|
| 6264 |
+
"mmlu_eval_accuracy_computer_security": 0.6363636363636364,
|
| 6265 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.5,
|
| 6266 |
+
"mmlu_eval_accuracy_econometrics": 0.3333333333333333,
|
| 6267 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 6268 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
| 6269 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
| 6270 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
| 6271 |
+
"mmlu_eval_accuracy_high_school_biology": 0.5,
|
| 6272 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182,
|
| 6273 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
|
| 6274 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
|
| 6275 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
|
| 6276 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238,
|
| 6277 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907,
|
| 6278 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
| 6279 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769,
|
| 6280 |
+
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
|
| 6281 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334,
|
| 6282 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
| 6283 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 6284 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539,
|
| 6285 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
| 6286 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 6287 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
| 6288 |
+
"mmlu_eval_accuracy_jurisprudence": 0.5454545454545454,
|
| 6289 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 6290 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 6291 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
| 6292 |
+
"mmlu_eval_accuracy_marketing": 0.84,
|
| 6293 |
+
"mmlu_eval_accuracy_medical_genetics": 0.8181818181818182,
|
| 6294 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
| 6295 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 6296 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.26,
|
| 6297 |
+
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 6298 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 6299 |
+
"mmlu_eval_accuracy_prehistory": 0.5428571428571428,
|
| 6300 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 6301 |
+
"mmlu_eval_accuracy_professional_law": 0.38823529411764707,
|
| 6302 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
| 6303 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
|
| 6304 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
| 6305 |
+
"mmlu_eval_accuracy_security_studies": 0.5555555555555556,
|
| 6306 |
+
"mmlu_eval_accuracy_sociology": 0.8181818181818182,
|
| 6307 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091,
|
| 6308 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 6309 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 6310 |
+
"mmlu_loss": 0.8850108603545642,
|
| 6311 |
+
"step": 6600
|
| 6312 |
+
},
|
| 6313 |
+
{
|
| 6314 |
+
"epoch": 0.74,
|
| 6315 |
+
"learning_rate": 0.0002,
|
| 6316 |
+
"loss": 0.7221,
|
| 6317 |
+
"step": 6610
|
| 6318 |
+
},
|
| 6319 |
+
{
|
| 6320 |
+
"epoch": 0.74,
|
| 6321 |
+
"learning_rate": 0.0002,
|
| 6322 |
+
"loss": 0.75,
|
| 6323 |
+
"step": 6620
|
| 6324 |
+
},
|
| 6325 |
+
{
|
| 6326 |
+
"epoch": 0.74,
|
| 6327 |
+
"learning_rate": 0.0002,
|
| 6328 |
+
"loss": 0.8407,
|
| 6329 |
+
"step": 6630
|
| 6330 |
+
},
|
| 6331 |
+
{
|
| 6332 |
+
"epoch": 0.74,
|
| 6333 |
+
"learning_rate": 0.0002,
|
| 6334 |
+
"loss": 0.6769,
|
| 6335 |
+
"step": 6640
|
| 6336 |
+
},
|
| 6337 |
+
{
|
| 6338 |
+
"epoch": 0.74,
|
| 6339 |
+
"learning_rate": 0.0002,
|
| 6340 |
+
"loss": 0.8187,
|
| 6341 |
+
"step": 6650
|
| 6342 |
+
},
|
| 6343 |
+
{
|
| 6344 |
+
"epoch": 0.74,
|
| 6345 |
+
"learning_rate": 0.0002,
|
| 6346 |
+
"loss": 0.8102,
|
| 6347 |
+
"step": 6660
|
| 6348 |
+
},
|
| 6349 |
+
{
|
| 6350 |
+
"epoch": 0.75,
|
| 6351 |
+
"learning_rate": 0.0002,
|
| 6352 |
+
"loss": 0.7222,
|
| 6353 |
+
"step": 6670
|
| 6354 |
+
},
|
| 6355 |
+
{
|
| 6356 |
+
"epoch": 0.75,
|
| 6357 |
+
"learning_rate": 0.0002,
|
| 6358 |
+
"loss": 0.7202,
|
| 6359 |
+
"step": 6680
|
| 6360 |
+
},
|
| 6361 |
+
{
|
| 6362 |
+
"epoch": 0.75,
|
| 6363 |
+
"learning_rate": 0.0002,
|
| 6364 |
+
"loss": 0.8201,
|
| 6365 |
+
"step": 6690
|
| 6366 |
+
},
|
| 6367 |
+
{
|
| 6368 |
+
"epoch": 0.75,
|
| 6369 |
+
"learning_rate": 0.0002,
|
| 6370 |
+
"loss": 0.5917,
|
| 6371 |
+
"step": 6700
|
| 6372 |
+
},
|
| 6373 |
+
{
|
| 6374 |
+
"epoch": 0.75,
|
| 6375 |
+
"learning_rate": 0.0002,
|
| 6376 |
+
"loss": 0.6594,
|
| 6377 |
+
"step": 6710
|
| 6378 |
+
},
|
| 6379 |
+
{
|
| 6380 |
+
"epoch": 0.75,
|
| 6381 |
+
"learning_rate": 0.0002,
|
| 6382 |
+
"loss": 0.6152,
|
| 6383 |
+
"step": 6720
|
| 6384 |
+
},
|
| 6385 |
+
{
|
| 6386 |
+
"epoch": 0.75,
|
| 6387 |
+
"learning_rate": 0.0002,
|
| 6388 |
+
"loss": 0.8191,
|
| 6389 |
+
"step": 6730
|
| 6390 |
+
},
|
| 6391 |
+
{
|
| 6392 |
+
"epoch": 0.75,
|
| 6393 |
+
"learning_rate": 0.0002,
|
| 6394 |
+
"loss": 0.7112,
|
| 6395 |
+
"step": 6740
|
| 6396 |
+
},
|
| 6397 |
+
{
|
| 6398 |
+
"epoch": 0.75,
|
| 6399 |
+
"learning_rate": 0.0002,
|
| 6400 |
+
"loss": 0.6968,
|
| 6401 |
+
"step": 6750
|
| 6402 |
+
},
|
| 6403 |
+
{
|
| 6404 |
+
"epoch": 0.76,
|
| 6405 |
+
"learning_rate": 0.0002,
|
| 6406 |
+
"loss": 0.651,
|
| 6407 |
+
"step": 6760
|
| 6408 |
+
},
|
| 6409 |
+
{
|
| 6410 |
+
"epoch": 0.76,
|
| 6411 |
+
"learning_rate": 0.0002,
|
| 6412 |
+
"loss": 0.8289,
|
| 6413 |
+
"step": 6770
|
| 6414 |
+
},
|
| 6415 |
+
{
|
| 6416 |
+
"epoch": 0.76,
|
| 6417 |
+
"learning_rate": 0.0002,
|
| 6418 |
+
"loss": 0.8347,
|
| 6419 |
+
"step": 6780
|
| 6420 |
+
},
|
| 6421 |
+
{
|
| 6422 |
+
"epoch": 0.76,
|
| 6423 |
+
"learning_rate": 0.0002,
|
| 6424 |
+
"loss": 0.7234,
|
| 6425 |
+
"step": 6790
|
| 6426 |
+
},
|
| 6427 |
+
{
|
| 6428 |
+
"epoch": 0.76,
|
| 6429 |
+
"learning_rate": 0.0002,
|
| 6430 |
+
"loss": 0.7227,
|
| 6431 |
+
"step": 6800
|
| 6432 |
+
},
|
| 6433 |
+
{
|
| 6434 |
+
"epoch": 0.76,
|
| 6435 |
+
"eval_loss": 0.7229225039482117,
|
| 6436 |
+
"eval_runtime": 133.823,
|
| 6437 |
+
"eval_samples_per_second": 7.473,
|
| 6438 |
+
"eval_steps_per_second": 3.736,
|
| 6439 |
+
"step": 6800
|
| 6440 |
+
},
|
| 6441 |
+
{
|
| 6442 |
+
"epoch": 0.76,
|
| 6443 |
+
"mmlu_eval_accuracy": 0.5152214474699063,
|
| 6444 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 6445 |
+
"mmlu_eval_accuracy_anatomy": 0.7142857142857143,
|
| 6446 |
+
"mmlu_eval_accuracy_astronomy": 0.5625,
|
| 6447 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 6448 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449,
|
| 6449 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 6450 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 6451 |
+
"mmlu_eval_accuracy_college_computer_science": 0.6363636363636364,
|
| 6452 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 6453 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
| 6454 |
+
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
| 6455 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 6456 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 6457 |
+
"mmlu_eval_accuracy_econometrics": 0.3333333333333333,
|
| 6458 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 6459 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536,
|
| 6460 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 6461 |
+
"mmlu_eval_accuracy_global_facts": 0.4,
|
| 6462 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 6463 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 6464 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 6465 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
| 6466 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
|
| 6467 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143,
|
| 6468 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
| 6469 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
|
| 6470 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384,
|
| 6471 |
+
"mmlu_eval_accuracy_high_school_physics": 0.23529411764705882,
|
| 6472 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667,
|
| 6473 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174,
|
| 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": 0.7391304347826086,
|
| 6477 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 6478 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 6479 |
+
"mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
|
| 6480 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 6481 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
| 6482 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
| 6483 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
| 6484 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 6485 |
+
"mmlu_eval_accuracy_miscellaneous": 0.627906976744186,
|
| 6486 |
+
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
|
| 6487 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.22,
|
| 6488 |
+
"mmlu_eval_accuracy_nutrition": 0.6363636363636364,
|
| 6489 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 6490 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 6491 |
+
"mmlu_eval_accuracy_professional_accounting": 0.45161290322580644,
|
| 6492 |
+
"mmlu_eval_accuracy_professional_law": 0.35294117647058826,
|
| 6493 |
+
"mmlu_eval_accuracy_professional_medicine": 0.4838709677419355,
|
| 6494 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5507246376811594,
|
| 6495 |
+
"mmlu_eval_accuracy_public_relations": 0.4166666666666667,
|
| 6496 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
| 6497 |
+
"mmlu_eval_accuracy_sociology": 0.8181818181818182,
|
| 6498 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091,
|
| 6499 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 6500 |
+
"mmlu_eval_accuracy_world_religions": 0.8421052631578947,
|
| 6501 |
+
"mmlu_loss": 1.011317597901541,
|
| 6502 |
+
"step": 6800
|
| 6503 |
+
},
|
| 6504 |
+
{
|
| 6505 |
+
"epoch": 0.76,
|
| 6506 |
+
"learning_rate": 0.0002,
|
| 6507 |
+
"loss": 0.7919,
|
| 6508 |
+
"step": 6810
|
| 6509 |
+
},
|
| 6510 |
+
{
|
| 6511 |
+
"epoch": 0.76,
|
| 6512 |
+
"learning_rate": 0.0002,
|
| 6513 |
+
"loss": 0.6663,
|
| 6514 |
+
"step": 6820
|
| 6515 |
+
},
|
| 6516 |
+
{
|
| 6517 |
+
"epoch": 0.76,
|
| 6518 |
+
"learning_rate": 0.0002,
|
| 6519 |
+
"loss": 0.7148,
|
| 6520 |
+
"step": 6830
|
| 6521 |
+
},
|
| 6522 |
+
{
|
| 6523 |
+
"epoch": 0.76,
|
| 6524 |
+
"learning_rate": 0.0002,
|
| 6525 |
+
"loss": 0.7675,
|
| 6526 |
+
"step": 6840
|
| 6527 |
+
},
|
| 6528 |
+
{
|
| 6529 |
+
"epoch": 0.77,
|
| 6530 |
+
"learning_rate": 0.0002,
|
| 6531 |
+
"loss": 0.6595,
|
| 6532 |
+
"step": 6850
|
| 6533 |
+
},
|
| 6534 |
+
{
|
| 6535 |
+
"epoch": 0.77,
|
| 6536 |
+
"learning_rate": 0.0002,
|
| 6537 |
+
"loss": 0.8117,
|
| 6538 |
+
"step": 6860
|
| 6539 |
+
},
|
| 6540 |
+
{
|
| 6541 |
+
"epoch": 0.77,
|
| 6542 |
+
"learning_rate": 0.0002,
|
| 6543 |
+
"loss": 0.7273,
|
| 6544 |
+
"step": 6870
|
| 6545 |
+
},
|
| 6546 |
+
{
|
| 6547 |
+
"epoch": 0.77,
|
| 6548 |
+
"learning_rate": 0.0002,
|
| 6549 |
+
"loss": 0.7276,
|
| 6550 |
+
"step": 6880
|
| 6551 |
+
},
|
| 6552 |
+
{
|
| 6553 |
+
"epoch": 0.77,
|
| 6554 |
+
"learning_rate": 0.0002,
|
| 6555 |
+
"loss": 0.6568,
|
| 6556 |
+
"step": 6890
|
| 6557 |
+
},
|
| 6558 |
+
{
|
| 6559 |
+
"epoch": 0.77,
|
| 6560 |
+
"learning_rate": 0.0002,
|
| 6561 |
+
"loss": 0.6933,
|
| 6562 |
+
"step": 6900
|
| 6563 |
+
},
|
| 6564 |
+
{
|
| 6565 |
+
"epoch": 0.77,
|
| 6566 |
+
"learning_rate": 0.0002,
|
| 6567 |
+
"loss": 0.5793,
|
| 6568 |
+
"step": 6910
|
| 6569 |
+
},
|
| 6570 |
+
{
|
| 6571 |
+
"epoch": 0.77,
|
| 6572 |
+
"learning_rate": 0.0002,
|
| 6573 |
+
"loss": 0.6824,
|
| 6574 |
+
"step": 6920
|
| 6575 |
+
},
|
| 6576 |
+
{
|
| 6577 |
+
"epoch": 0.77,
|
| 6578 |
+
"learning_rate": 0.0002,
|
| 6579 |
+
"loss": 0.7155,
|
| 6580 |
+
"step": 6930
|
| 6581 |
+
},
|
| 6582 |
+
{
|
| 6583 |
+
"epoch": 0.78,
|
| 6584 |
+
"learning_rate": 0.0002,
|
| 6585 |
+
"loss": 0.854,
|
| 6586 |
+
"step": 6940
|
| 6587 |
+
},
|
| 6588 |
+
{
|
| 6589 |
+
"epoch": 0.78,
|
| 6590 |
+
"learning_rate": 0.0002,
|
| 6591 |
+
"loss": 0.7699,
|
| 6592 |
+
"step": 6950
|
| 6593 |
+
},
|
| 6594 |
+
{
|
| 6595 |
+
"epoch": 0.78,
|
| 6596 |
+
"learning_rate": 0.0002,
|
| 6597 |
+
"loss": 0.8371,
|
| 6598 |
+
"step": 6960
|
| 6599 |
+
},
|
| 6600 |
+
{
|
| 6601 |
+
"epoch": 0.78,
|
| 6602 |
+
"learning_rate": 0.0002,
|
| 6603 |
+
"loss": 0.7292,
|
| 6604 |
+
"step": 6970
|
| 6605 |
+
},
|
| 6606 |
+
{
|
| 6607 |
+
"epoch": 0.78,
|
| 6608 |
+
"learning_rate": 0.0002,
|
| 6609 |
+
"loss": 0.6799,
|
| 6610 |
+
"step": 6980
|
| 6611 |
+
},
|
| 6612 |
+
{
|
| 6613 |
+
"epoch": 0.78,
|
| 6614 |
+
"learning_rate": 0.0002,
|
| 6615 |
+
"loss": 0.7101,
|
| 6616 |
+
"step": 6990
|
| 6617 |
+
},
|
| 6618 |
+
{
|
| 6619 |
+
"epoch": 0.78,
|
| 6620 |
+
"learning_rate": 0.0002,
|
| 6621 |
+
"loss": 0.6587,
|
| 6622 |
+
"step": 7000
|
| 6623 |
+
},
|
| 6624 |
+
{
|
| 6625 |
+
"epoch": 0.78,
|
| 6626 |
+
"eval_loss": 0.7265365123748779,
|
| 6627 |
+
"eval_runtime": 133.844,
|
| 6628 |
+
"eval_samples_per_second": 7.471,
|
| 6629 |
+
"eval_steps_per_second": 3.736,
|
| 6630 |
+
"step": 7000
|
| 6631 |
+
},
|
| 6632 |
+
{
|
| 6633 |
+
"epoch": 0.78,
|
| 6634 |
+
"mmlu_eval_accuracy": 0.4880448490136911,
|
| 6635 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 6636 |
+
"mmlu_eval_accuracy_anatomy": 0.7142857142857143,
|
| 6637 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 6638 |
+
"mmlu_eval_accuracy_business_ethics": 0.36363636363636365,
|
| 6639 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
|
| 6640 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
| 6641 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 6642 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 6643 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
| 6644 |
+
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
| 6645 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 6646 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 6647 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
| 6648 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 6649 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.1875,
|
| 6650 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
|
| 6651 |
+
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
| 6652 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
| 6653 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 6654 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
| 6655 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 6656 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
| 6657 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
| 6658 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.47619047619047616,
|
| 6659 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
|
| 6660 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 6661 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
| 6662 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 6663 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333,
|
| 6664 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216,
|
| 6665 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182,
|
| 6666 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154,
|
| 6667 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
| 6668 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 6669 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 6670 |
+
"mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
|
| 6671 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 6672 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 6673 |
+
"mmlu_eval_accuracy_management": 0.7272727272727273,
|
| 6674 |
+
"mmlu_eval_accuracy_marketing": 0.76,
|
| 6675 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 6676 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303,
|
| 6677 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
|
| 6678 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.22,
|
| 6679 |
+
"mmlu_eval_accuracy_nutrition": 0.5454545454545454,
|
| 6680 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
| 6681 |
+
"mmlu_eval_accuracy_prehistory": 0.42857142857142855,
|
| 6682 |
+
"mmlu_eval_accuracy_professional_accounting": 0.41935483870967744,
|
| 6683 |
+
"mmlu_eval_accuracy_professional_law": 0.3352941176470588,
|
| 6684 |
+
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
|
| 6685 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
| 6686 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 6687 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
| 6688 |
+
"mmlu_eval_accuracy_sociology": 0.7272727272727273,
|
| 6689 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
| 6690 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 6691 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 6692 |
+
"mmlu_loss": 1.021762224094208,
|
| 6693 |
+
"step": 7000
|
| 6694 |
+
},
|
| 6695 |
+
{
|
| 6696 |
+
"epoch": 0.78,
|
| 6697 |
+
"learning_rate": 0.0002,
|
| 6698 |
+
"loss": 0.7768,
|
| 6699 |
+
"step": 7010
|
| 6700 |
+
},
|
| 6701 |
+
{
|
| 6702 |
+
"epoch": 0.78,
|
| 6703 |
+
"learning_rate": 0.0002,
|
| 6704 |
+
"loss": 0.8015,
|
| 6705 |
+
"step": 7020
|
| 6706 |
+
},
|
| 6707 |
+
{
|
| 6708 |
+
"epoch": 0.79,
|
| 6709 |
+
"learning_rate": 0.0002,
|
| 6710 |
+
"loss": 0.7361,
|
| 6711 |
+
"step": 7030
|
| 6712 |
+
},
|
| 6713 |
+
{
|
| 6714 |
+
"epoch": 0.79,
|
| 6715 |
+
"learning_rate": 0.0002,
|
| 6716 |
+
"loss": 0.6737,
|
| 6717 |
+
"step": 7040
|
| 6718 |
+
},
|
| 6719 |
+
{
|
| 6720 |
+
"epoch": 0.79,
|
| 6721 |
+
"learning_rate": 0.0002,
|
| 6722 |
+
"loss": 0.7194,
|
| 6723 |
+
"step": 7050
|
| 6724 |
+
},
|
| 6725 |
+
{
|
| 6726 |
+
"epoch": 0.79,
|
| 6727 |
+
"learning_rate": 0.0002,
|
| 6728 |
+
"loss": 0.7331,
|
| 6729 |
+
"step": 7060
|
| 6730 |
+
},
|
| 6731 |
+
{
|
| 6732 |
+
"epoch": 0.79,
|
| 6733 |
+
"learning_rate": 0.0002,
|
| 6734 |
+
"loss": 0.719,
|
| 6735 |
+
"step": 7070
|
| 6736 |
+
},
|
| 6737 |
+
{
|
| 6738 |
+
"epoch": 0.79,
|
| 6739 |
+
"learning_rate": 0.0002,
|
| 6740 |
+
"loss": 0.71,
|
| 6741 |
+
"step": 7080
|
| 6742 |
+
},
|
| 6743 |
+
{
|
| 6744 |
+
"epoch": 0.79,
|
| 6745 |
+
"learning_rate": 0.0002,
|
| 6746 |
+
"loss": 0.7005,
|
| 6747 |
+
"step": 7090
|
| 6748 |
+
},
|
| 6749 |
+
{
|
| 6750 |
+
"epoch": 0.79,
|
| 6751 |
+
"learning_rate": 0.0002,
|
| 6752 |
+
"loss": 0.7349,
|
| 6753 |
+
"step": 7100
|
| 6754 |
+
},
|
| 6755 |
+
{
|
| 6756 |
+
"epoch": 0.79,
|
| 6757 |
+
"learning_rate": 0.0002,
|
| 6758 |
+
"loss": 0.8054,
|
| 6759 |
+
"step": 7110
|
| 6760 |
+
},
|
| 6761 |
+
{
|
| 6762 |
+
"epoch": 0.8,
|
| 6763 |
+
"learning_rate": 0.0002,
|
| 6764 |
+
"loss": 0.7939,
|
| 6765 |
+
"step": 7120
|
| 6766 |
+
},
|
| 6767 |
+
{
|
| 6768 |
+
"epoch": 0.8,
|
| 6769 |
+
"learning_rate": 0.0002,
|
| 6770 |
+
"loss": 0.7347,
|
| 6771 |
+
"step": 7130
|
| 6772 |
+
},
|
| 6773 |
+
{
|
| 6774 |
+
"epoch": 0.8,
|
| 6775 |
+
"learning_rate": 0.0002,
|
| 6776 |
+
"loss": 0.7617,
|
| 6777 |
+
"step": 7140
|
| 6778 |
+
},
|
| 6779 |
+
{
|
| 6780 |
+
"epoch": 0.8,
|
| 6781 |
+
"learning_rate": 0.0002,
|
| 6782 |
+
"loss": 0.6904,
|
| 6783 |
+
"step": 7150
|
| 6784 |
+
},
|
| 6785 |
+
{
|
| 6786 |
+
"epoch": 0.8,
|
| 6787 |
+
"learning_rate": 0.0002,
|
| 6788 |
+
"loss": 0.6306,
|
| 6789 |
+
"step": 7160
|
| 6790 |
+
},
|
| 6791 |
+
{
|
| 6792 |
+
"epoch": 0.8,
|
| 6793 |
+
"learning_rate": 0.0002,
|
| 6794 |
+
"loss": 0.8292,
|
| 6795 |
+
"step": 7170
|
| 6796 |
+
},
|
| 6797 |
+
{
|
| 6798 |
+
"epoch": 0.8,
|
| 6799 |
+
"learning_rate": 0.0002,
|
| 6800 |
+
"loss": 0.727,
|
| 6801 |
+
"step": 7180
|
| 6802 |
+
},
|
| 6803 |
+
{
|
| 6804 |
+
"epoch": 0.8,
|
| 6805 |
+
"learning_rate": 0.0002,
|
| 6806 |
+
"loss": 0.7253,
|
| 6807 |
+
"step": 7190
|
| 6808 |
+
},
|
| 6809 |
+
{
|
| 6810 |
+
"epoch": 0.8,
|
| 6811 |
+
"learning_rate": 0.0002,
|
| 6812 |
+
"loss": 0.7563,
|
| 6813 |
+
"step": 7200
|
| 6814 |
+
},
|
| 6815 |
+
{
|
| 6816 |
+
"epoch": 0.8,
|
| 6817 |
+
"eval_loss": 0.7270277142524719,
|
| 6818 |
+
"eval_runtime": 133.8707,
|
| 6819 |
+
"eval_samples_per_second": 7.47,
|
| 6820 |
+
"eval_steps_per_second": 3.735,
|
| 6821 |
+
"step": 7200
|
| 6822 |
+
},
|
| 6823 |
+
{
|
| 6824 |
+
"epoch": 0.8,
|
| 6825 |
+
"mmlu_eval_accuracy": 0.4911456222026462,
|
| 6826 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
|
| 6827 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 6828 |
+
"mmlu_eval_accuracy_astronomy": 0.3125,
|
| 6829 |
+
"mmlu_eval_accuracy_business_ethics": 0.36363636363636365,
|
| 6830 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
|
| 6831 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 6832 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
| 6833 |
+
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 6834 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 6835 |
+
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
| 6836 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 6837 |
+
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
|
| 6838 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 6839 |
+
"mmlu_eval_accuracy_econometrics": 0.4166666666666667,
|
| 6840 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 6841 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536,
|
| 6842 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 6843 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
| 6844 |
+
"mmlu_eval_accuracy_high_school_biology": 0.46875,
|
| 6845 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
|
| 6846 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 6847 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
| 6848 |
+
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
|
| 6849 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
| 6850 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791,
|
| 6851 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
|
| 6852 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769,
|
| 6853 |
+
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
|
| 6854 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667,
|
| 6855 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
| 6856 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 6857 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539,
|
| 6858 |
+
"mmlu_eval_accuracy_human_aging": 0.5652173913043478,
|
| 6859 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 6860 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 6861 |
+
"mmlu_eval_accuracy_jurisprudence": 0.5454545454545454,
|
| 6862 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 6863 |
+
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
| 6864 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 6865 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
| 6866 |
+
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 6867 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6046511627906976,
|
| 6868 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
| 6869 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.22,
|
| 6870 |
+
"mmlu_eval_accuracy_nutrition": 0.5757575757575758,
|
| 6871 |
+
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
| 6872 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
| 6873 |
+
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
|
| 6874 |
+
"mmlu_eval_accuracy_professional_law": 0.37058823529411766,
|
| 6875 |
+
"mmlu_eval_accuracy_professional_medicine": 0.3870967741935484,
|
| 6876 |
+
"mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
|
| 6877 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 6878 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
| 6879 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 6880 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 6881 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 6882 |
+
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 6883 |
+
"mmlu_loss": 1.171269353702859,
|
| 6884 |
+
"step": 7200
|
| 6885 |
}
|
| 6886 |
],
|
| 6887 |
"max_steps": 10000,
|
| 6888 |
"num_train_epochs": 2,
|
| 6889 |
+
"total_flos": 7.147865281155564e+17,
|
| 6890 |
"trial_name": null,
|
| 6891 |
"trial_params": null
|
| 6892 |
}
|
{checkpoint-5000 → checkpoint-7200}/training_args.bin
RENAMED
|
File without changes
|