Farouk
commited on
Commit
•
053c0ca
1
Parent(s):
958c4e0
commit files to HF hub
Browse files- README.md +20 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1162 -0
README.md
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- load_in_8bit: False
|
| 9 |
+
- load_in_4bit: True
|
| 10 |
+
- llm_int8_threshold: 6.0
|
| 11 |
+
- llm_int8_skip_modules: None
|
| 12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 13 |
+
- llm_int8_has_fp16_weight: False
|
| 14 |
+
- bnb_4bit_quant_type: nf4
|
| 15 |
+
- bnb_4bit_use_double_quant: True
|
| 16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 17 |
+
### Framework versions
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- PEFT 0.4.0
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d298c8ce01639859f8a59ba18c638fcc110f5d4abe770c03ecb77fdcedcc9d85
|
| 3 |
+
size 1279539973
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7e14c67e8c478c5d81f9fd66c397f46ea2ddf9cafafb3b907cc781d5c58c7fb
|
| 3 |
+
size 14511
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d8d6be7898f87772ccbc5c732e900fe63a643c4595ce6af3d6bc6f811ba4b65
|
| 3 |
+
size 627
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1162 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.4632822871208191,
|
| 3 |
+
"best_model_checkpoint": "./output_v2/7b_cluster019_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_019/checkpoint-600",
|
| 4 |
+
"epoch": 2.038216560509554,
|
| 5 |
+
"global_step": 1200,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.02,
|
| 12 |
+
"learning_rate": 0.0002,
|
| 13 |
+
"loss": 0.6267,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.03,
|
| 18 |
+
"learning_rate": 0.0002,
|
| 19 |
+
"loss": 0.7811,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.05,
|
| 24 |
+
"learning_rate": 0.0002,
|
| 25 |
+
"loss": 0.5062,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.07,
|
| 30 |
+
"learning_rate": 0.0002,
|
| 31 |
+
"loss": 0.6137,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.08,
|
| 36 |
+
"learning_rate": 0.0002,
|
| 37 |
+
"loss": 0.4957,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.1,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 0.4838,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.12,
|
| 48 |
+
"learning_rate": 0.0002,
|
| 49 |
+
"loss": 0.6938,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.14,
|
| 54 |
+
"learning_rate": 0.0002,
|
| 55 |
+
"loss": 0.4848,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.15,
|
| 60 |
+
"learning_rate": 0.0002,
|
| 61 |
+
"loss": 0.4587,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.17,
|
| 66 |
+
"learning_rate": 0.0002,
|
| 67 |
+
"loss": 0.5768,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.19,
|
| 72 |
+
"learning_rate": 0.0002,
|
| 73 |
+
"loss": 0.4725,
|
| 74 |
+
"step": 110
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.2,
|
| 78 |
+
"learning_rate": 0.0002,
|
| 79 |
+
"loss": 0.5152,
|
| 80 |
+
"step": 120
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.22,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 0.5707,
|
| 86 |
+
"step": 130
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.24,
|
| 90 |
+
"learning_rate": 0.0002,
|
| 91 |
+
"loss": 0.5002,
|
| 92 |
+
"step": 140
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.25,
|
| 96 |
+
"learning_rate": 0.0002,
|
| 97 |
+
"loss": 0.4043,
|
| 98 |
+
"step": 150
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.27,
|
| 102 |
+
"learning_rate": 0.0002,
|
| 103 |
+
"loss": 0.6542,
|
| 104 |
+
"step": 160
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.29,
|
| 108 |
+
"learning_rate": 0.0002,
|
| 109 |
+
"loss": 0.4533,
|
| 110 |
+
"step": 170
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.31,
|
| 114 |
+
"learning_rate": 0.0002,
|
| 115 |
+
"loss": 0.5814,
|
| 116 |
+
"step": 180
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.32,
|
| 120 |
+
"learning_rate": 0.0002,
|
| 121 |
+
"loss": 0.525,
|
| 122 |
+
"step": 190
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.34,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 0.5448,
|
| 128 |
+
"step": 200
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.34,
|
| 132 |
+
"eval_loss": 0.48780253529548645,
|
| 133 |
+
"eval_runtime": 101.8557,
|
| 134 |
+
"eval_samples_per_second": 9.818,
|
| 135 |
+
"eval_steps_per_second": 4.909,
|
| 136 |
+
"step": 200
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.34,
|
| 140 |
+
"mmlu_eval_accuracy": 0.4580124869645426,
|
| 141 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 142 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 143 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
| 144 |
+
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
|
| 145 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
|
| 146 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
| 147 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 148 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 149 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 150 |
+
"mmlu_eval_accuracy_college_medicine": 0.2727272727272727,
|
| 151 |
+
"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
|
| 152 |
+
"mmlu_eval_accuracy_computer_security": 0.2727272727272727,
|
| 153 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
| 154 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
| 155 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.4375,
|
| 156 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634,
|
| 157 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
| 158 |
+
"mmlu_eval_accuracy_global_facts": 0.4,
|
| 159 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 160 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
|
| 161 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 162 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
| 163 |
+
"mmlu_eval_accuracy_high_school_geography": 0.6363636363636364,
|
| 164 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
|
| 165 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
|
| 166 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
|
| 167 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
|
| 168 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 169 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
|
| 170 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
|
| 171 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 172 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.46153846153846156,
|
| 173 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
| 174 |
+
"mmlu_eval_accuracy_human_sexuality": 0.5,
|
| 175 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
| 176 |
+
"mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
|
| 177 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
| 178 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 179 |
+
"mmlu_eval_accuracy_management": 0.36363636363636365,
|
| 180 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
| 181 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
| 182 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
| 183 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 184 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.23,
|
| 185 |
+
"mmlu_eval_accuracy_nutrition": 0.5151515151515151,
|
| 186 |
+
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
| 187 |
+
"mmlu_eval_accuracy_prehistory": 0.5428571428571428,
|
| 188 |
+
"mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
|
| 189 |
+
"mmlu_eval_accuracy_professional_law": 0.3176470588235294,
|
| 190 |
+
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
|
| 191 |
+
"mmlu_eval_accuracy_professional_psychology": 0.42028985507246375,
|
| 192 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
| 193 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 194 |
+
"mmlu_eval_accuracy_sociology": 0.5,
|
| 195 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
|
| 196 |
+
"mmlu_eval_accuracy_virology": 0.5,
|
| 197 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
| 198 |
+
"mmlu_loss": 0.9094281114112615,
|
| 199 |
+
"step": 200
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.36,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 0.4536,
|
| 205 |
+
"step": 210
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.37,
|
| 209 |
+
"learning_rate": 0.0002,
|
| 210 |
+
"loss": 0.5147,
|
| 211 |
+
"step": 220
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 0.39,
|
| 215 |
+
"learning_rate": 0.0002,
|
| 216 |
+
"loss": 0.423,
|
| 217 |
+
"step": 230
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 0.41,
|
| 221 |
+
"learning_rate": 0.0002,
|
| 222 |
+
"loss": 0.5832,
|
| 223 |
+
"step": 240
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 0.42,
|
| 227 |
+
"learning_rate": 0.0002,
|
| 228 |
+
"loss": 0.4719,
|
| 229 |
+
"step": 250
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 0.44,
|
| 233 |
+
"learning_rate": 0.0002,
|
| 234 |
+
"loss": 0.452,
|
| 235 |
+
"step": 260
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.46,
|
| 239 |
+
"learning_rate": 0.0002,
|
| 240 |
+
"loss": 0.4907,
|
| 241 |
+
"step": 270
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.48,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 0.5322,
|
| 247 |
+
"step": 280
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.49,
|
| 251 |
+
"learning_rate": 0.0002,
|
| 252 |
+
"loss": 0.592,
|
| 253 |
+
"step": 290
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 0.51,
|
| 257 |
+
"learning_rate": 0.0002,
|
| 258 |
+
"loss": 0.5964,
|
| 259 |
+
"step": 300
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 0.53,
|
| 263 |
+
"learning_rate": 0.0002,
|
| 264 |
+
"loss": 0.5404,
|
| 265 |
+
"step": 310
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.54,
|
| 269 |
+
"learning_rate": 0.0002,
|
| 270 |
+
"loss": 0.5788,
|
| 271 |
+
"step": 320
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.56,
|
| 275 |
+
"learning_rate": 0.0002,
|
| 276 |
+
"loss": 0.4701,
|
| 277 |
+
"step": 330
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 0.58,
|
| 281 |
+
"learning_rate": 0.0002,
|
| 282 |
+
"loss": 0.4899,
|
| 283 |
+
"step": 340
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.59,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 0.5177,
|
| 289 |
+
"step": 350
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.61,
|
| 293 |
+
"learning_rate": 0.0002,
|
| 294 |
+
"loss": 0.479,
|
| 295 |
+
"step": 360
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 0.63,
|
| 299 |
+
"learning_rate": 0.0002,
|
| 300 |
+
"loss": 0.4815,
|
| 301 |
+
"step": 370
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 0.65,
|
| 305 |
+
"learning_rate": 0.0002,
|
| 306 |
+
"loss": 0.4935,
|
| 307 |
+
"step": 380
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.66,
|
| 311 |
+
"learning_rate": 0.0002,
|
| 312 |
+
"loss": 0.5712,
|
| 313 |
+
"step": 390
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.68,
|
| 317 |
+
"learning_rate": 0.0002,
|
| 318 |
+
"loss": 0.4873,
|
| 319 |
+
"step": 400
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.68,
|
| 323 |
+
"eval_loss": 0.4672442674636841,
|
| 324 |
+
"eval_runtime": 102.1346,
|
| 325 |
+
"eval_samples_per_second": 9.791,
|
| 326 |
+
"eval_steps_per_second": 4.896,
|
| 327 |
+
"step": 400
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.68,
|
| 331 |
+
"mmlu_eval_accuracy": 0.4486531670462866,
|
| 332 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 333 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 334 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
| 335 |
+
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
|
| 336 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
| 337 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 338 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 339 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 340 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
| 341 |
+
"mmlu_eval_accuracy_college_medicine": 0.2727272727272727,
|
| 342 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 343 |
+
"mmlu_eval_accuracy_computer_security": 0.2727272727272727,
|
| 344 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
| 345 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 346 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 347 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
| 348 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 349 |
+
"mmlu_eval_accuracy_global_facts": 0.5,
|
| 350 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
| 351 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
| 352 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 353 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
| 354 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
|
| 355 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 356 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
|
| 357 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 358 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
|
| 359 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 360 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.75,
|
| 361 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
| 362 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 363 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.46153846153846156,
|
| 364 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
| 365 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 366 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
| 367 |
+
"mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
|
| 368 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
| 369 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 370 |
+
"mmlu_eval_accuracy_management": 0.45454545454545453,
|
| 371 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
| 372 |
+
"mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
|
| 373 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
| 374 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
| 375 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
| 376 |
+
"mmlu_eval_accuracy_nutrition": 0.5757575757575758,
|
| 377 |
+
"mmlu_eval_accuracy_philosophy": 0.4411764705882353,
|
| 378 |
+
"mmlu_eval_accuracy_prehistory": 0.5714285714285714,
|
| 379 |
+
"mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
|
| 380 |
+
"mmlu_eval_accuracy_professional_law": 0.32941176470588235,
|
| 381 |
+
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
|
| 382 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
|
| 383 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 384 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 385 |
+
"mmlu_eval_accuracy_sociology": 0.5909090909090909,
|
| 386 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 387 |
+
"mmlu_eval_accuracy_virology": 0.4444444444444444,
|
| 388 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 389 |
+
"mmlu_loss": 0.9122924784456159,
|
| 390 |
+
"step": 400
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.7,
|
| 394 |
+
"learning_rate": 0.0002,
|
| 395 |
+
"loss": 0.5392,
|
| 396 |
+
"step": 410
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.71,
|
| 400 |
+
"learning_rate": 0.0002,
|
| 401 |
+
"loss": 0.4237,
|
| 402 |
+
"step": 420
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.73,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 0.4864,
|
| 408 |
+
"step": 430
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.75,
|
| 412 |
+
"learning_rate": 0.0002,
|
| 413 |
+
"loss": 0.4317,
|
| 414 |
+
"step": 440
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.76,
|
| 418 |
+
"learning_rate": 0.0002,
|
| 419 |
+
"loss": 0.4613,
|
| 420 |
+
"step": 450
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 0.78,
|
| 424 |
+
"learning_rate": 0.0002,
|
| 425 |
+
"loss": 0.4595,
|
| 426 |
+
"step": 460
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.8,
|
| 430 |
+
"learning_rate": 0.0002,
|
| 431 |
+
"loss": 0.623,
|
| 432 |
+
"step": 470
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 0.82,
|
| 436 |
+
"learning_rate": 0.0002,
|
| 437 |
+
"loss": 0.5262,
|
| 438 |
+
"step": 480
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.83,
|
| 442 |
+
"learning_rate": 0.0002,
|
| 443 |
+
"loss": 0.4351,
|
| 444 |
+
"step": 490
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.85,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 0.5168,
|
| 450 |
+
"step": 500
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.87,
|
| 454 |
+
"learning_rate": 0.0002,
|
| 455 |
+
"loss": 0.4274,
|
| 456 |
+
"step": 510
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 0.88,
|
| 460 |
+
"learning_rate": 0.0002,
|
| 461 |
+
"loss": 0.5015,
|
| 462 |
+
"step": 520
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 0.9,
|
| 466 |
+
"learning_rate": 0.0002,
|
| 467 |
+
"loss": 0.4768,
|
| 468 |
+
"step": 530
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 0.92,
|
| 472 |
+
"learning_rate": 0.0002,
|
| 473 |
+
"loss": 0.4208,
|
| 474 |
+
"step": 540
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.93,
|
| 478 |
+
"learning_rate": 0.0002,
|
| 479 |
+
"loss": 0.4848,
|
| 480 |
+
"step": 550
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.95,
|
| 484 |
+
"learning_rate": 0.0002,
|
| 485 |
+
"loss": 0.4043,
|
| 486 |
+
"step": 560
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.97,
|
| 490 |
+
"learning_rate": 0.0002,
|
| 491 |
+
"loss": 0.4383,
|
| 492 |
+
"step": 570
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.99,
|
| 496 |
+
"learning_rate": 0.0002,
|
| 497 |
+
"loss": 0.5794,
|
| 498 |
+
"step": 580
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 1.0,
|
| 502 |
+
"learning_rate": 0.0002,
|
| 503 |
+
"loss": 0.439,
|
| 504 |
+
"step": 590
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 1.02,
|
| 508 |
+
"learning_rate": 0.0002,
|
| 509 |
+
"loss": 0.3456,
|
| 510 |
+
"step": 600
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.02,
|
| 514 |
+
"eval_loss": 0.4632822871208191,
|
| 515 |
+
"eval_runtime": 101.8929,
|
| 516 |
+
"eval_samples_per_second": 9.814,
|
| 517 |
+
"eval_steps_per_second": 4.907,
|
| 518 |
+
"step": 600
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 1.02,
|
| 522 |
+
"mmlu_eval_accuracy": 0.4617338416384464,
|
| 523 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 524 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 525 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 526 |
+
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
|
| 527 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
|
| 528 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
| 529 |
+
"mmlu_eval_accuracy_college_chemistry": 0.0,
|
| 530 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 531 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 532 |
+
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
|
| 533 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 534 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
| 535 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 536 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 537 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 538 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
| 539 |
+
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
|
| 540 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
| 541 |
+
"mmlu_eval_accuracy_high_school_biology": 0.40625,
|
| 542 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453,
|
| 543 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 544 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
| 545 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
|
| 546 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
|
| 547 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
|
| 548 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 549 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
|
| 550 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 551 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
|
| 552 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
| 553 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 554 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
|
| 555 |
+
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
| 556 |
+
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
|
| 557 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
| 558 |
+
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
|
| 559 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
| 560 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
| 561 |
+
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 562 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
| 563 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
| 564 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
| 565 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 566 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.26,
|
| 567 |
+
"mmlu_eval_accuracy_nutrition": 0.5454545454545454,
|
| 568 |
+
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
| 569 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
| 570 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
| 571 |
+
"mmlu_eval_accuracy_professional_law": 0.35294117647058826,
|
| 572 |
+
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
|
| 573 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
|
| 574 |
+
"mmlu_eval_accuracy_public_relations": 0.5,
|
| 575 |
+
"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
|
| 576 |
+
"mmlu_eval_accuracy_sociology": 0.5454545454545454,
|
| 577 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
|
| 578 |
+
"mmlu_eval_accuracy_virology": 0.3888888888888889,
|
| 579 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 580 |
+
"mmlu_loss": 0.8381480119110866,
|
| 581 |
+
"step": 600
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 1.04,
|
| 585 |
+
"learning_rate": 0.0002,
|
| 586 |
+
"loss": 0.3464,
|
| 587 |
+
"step": 610
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 1.05,
|
| 591 |
+
"learning_rate": 0.0002,
|
| 592 |
+
"loss": 0.4158,
|
| 593 |
+
"step": 620
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 1.07,
|
| 597 |
+
"learning_rate": 0.0002,
|
| 598 |
+
"loss": 0.3465,
|
| 599 |
+
"step": 630
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 1.09,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.3078,
|
| 605 |
+
"step": 640
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.1,
|
| 609 |
+
"learning_rate": 0.0002,
|
| 610 |
+
"loss": 0.4329,
|
| 611 |
+
"step": 650
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 1.12,
|
| 615 |
+
"learning_rate": 0.0002,
|
| 616 |
+
"loss": 0.3874,
|
| 617 |
+
"step": 660
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 1.14,
|
| 621 |
+
"learning_rate": 0.0002,
|
| 622 |
+
"loss": 0.4908,
|
| 623 |
+
"step": 670
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 1.15,
|
| 627 |
+
"learning_rate": 0.0002,
|
| 628 |
+
"loss": 0.5097,
|
| 629 |
+
"step": 680
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 1.17,
|
| 633 |
+
"learning_rate": 0.0002,
|
| 634 |
+
"loss": 0.3967,
|
| 635 |
+
"step": 690
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 1.19,
|
| 639 |
+
"learning_rate": 0.0002,
|
| 640 |
+
"loss": 0.4721,
|
| 641 |
+
"step": 700
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 1.21,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 0.3612,
|
| 647 |
+
"step": 710
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.22,
|
| 651 |
+
"learning_rate": 0.0002,
|
| 652 |
+
"loss": 0.4453,
|
| 653 |
+
"step": 720
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 1.24,
|
| 657 |
+
"learning_rate": 0.0002,
|
| 658 |
+
"loss": 0.4538,
|
| 659 |
+
"step": 730
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 1.26,
|
| 663 |
+
"learning_rate": 0.0002,
|
| 664 |
+
"loss": 0.3903,
|
| 665 |
+
"step": 740
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 1.27,
|
| 669 |
+
"learning_rate": 0.0002,
|
| 670 |
+
"loss": 0.3541,
|
| 671 |
+
"step": 750
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 1.29,
|
| 675 |
+
"learning_rate": 0.0002,
|
| 676 |
+
"loss": 0.3564,
|
| 677 |
+
"step": 760
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 1.31,
|
| 681 |
+
"learning_rate": 0.0002,
|
| 682 |
+
"loss": 0.386,
|
| 683 |
+
"step": 770
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 1.32,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 0.4495,
|
| 689 |
+
"step": 780
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.34,
|
| 693 |
+
"learning_rate": 0.0002,
|
| 694 |
+
"loss": 0.3281,
|
| 695 |
+
"step": 790
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 1.36,
|
| 699 |
+
"learning_rate": 0.0002,
|
| 700 |
+
"loss": 0.3315,
|
| 701 |
+
"step": 800
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 1.36,
|
| 705 |
+
"eval_loss": 0.47132888436317444,
|
| 706 |
+
"eval_runtime": 102.2178,
|
| 707 |
+
"eval_samples_per_second": 9.783,
|
| 708 |
+
"eval_steps_per_second": 4.892,
|
| 709 |
+
"step": 800
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 1.36,
|
| 713 |
+
"mmlu_eval_accuracy": 0.4676211978570877,
|
| 714 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
|
| 715 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 716 |
+
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 717 |
+
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
|
| 718 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
| 719 |
+
"mmlu_eval_accuracy_college_biology": 0.5,
|
| 720 |
+
"mmlu_eval_accuracy_college_chemistry": 0.125,
|
| 721 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 722 |
+
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
| 723 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
| 724 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 725 |
+
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 726 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
| 727 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 728 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 729 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
| 730 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 731 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
| 732 |
+
"mmlu_eval_accuracy_high_school_biology": 0.4375,
|
| 733 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
|
| 734 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
|
| 735 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
| 736 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
|
| 737 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 738 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
|
| 739 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 740 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
|
| 741 |
+
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
|
| 742 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.75,
|
| 743 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
|
| 744 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 745 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5,
|
| 746 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
| 747 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 748 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
| 749 |
+
"mmlu_eval_accuracy_jurisprudence": 0.18181818181818182,
|
| 750 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
|
| 751 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
| 752 |
+
"mmlu_eval_accuracy_management": 0.5454545454545454,
|
| 753 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
| 754 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
| 755 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
| 756 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5,
|
| 757 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.29,
|
| 758 |
+
"mmlu_eval_accuracy_nutrition": 0.5757575757575758,
|
| 759 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 760 |
+
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 761 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
| 762 |
+
"mmlu_eval_accuracy_professional_law": 0.34705882352941175,
|
| 763 |
+
"mmlu_eval_accuracy_professional_medicine": 0.3870967741935484,
|
| 764 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
|
| 765 |
+
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
| 766 |
+
"mmlu_eval_accuracy_security_studies": 0.37037037037037035,
|
| 767 |
+
"mmlu_eval_accuracy_sociology": 0.5909090909090909,
|
| 768 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 769 |
+
"mmlu_eval_accuracy_virology": 0.3888888888888889,
|
| 770 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 771 |
+
"mmlu_loss": 0.8817933564495013,
|
| 772 |
+
"step": 800
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 1.38,
|
| 776 |
+
"learning_rate": 0.0002,
|
| 777 |
+
"loss": 0.4534,
|
| 778 |
+
"step": 810
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 1.39,
|
| 782 |
+
"learning_rate": 0.0002,
|
| 783 |
+
"loss": 0.3944,
|
| 784 |
+
"step": 820
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 1.41,
|
| 788 |
+
"learning_rate": 0.0002,
|
| 789 |
+
"loss": 0.4096,
|
| 790 |
+
"step": 830
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 1.43,
|
| 794 |
+
"learning_rate": 0.0002,
|
| 795 |
+
"loss": 0.4039,
|
| 796 |
+
"step": 840
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 1.44,
|
| 800 |
+
"learning_rate": 0.0002,
|
| 801 |
+
"loss": 0.438,
|
| 802 |
+
"step": 850
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 1.46,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 0.3773,
|
| 808 |
+
"step": 860
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.48,
|
| 812 |
+
"learning_rate": 0.0002,
|
| 813 |
+
"loss": 0.4969,
|
| 814 |
+
"step": 870
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 1.49,
|
| 818 |
+
"learning_rate": 0.0002,
|
| 819 |
+
"loss": 0.396,
|
| 820 |
+
"step": 880
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 1.51,
|
| 824 |
+
"learning_rate": 0.0002,
|
| 825 |
+
"loss": 0.4196,
|
| 826 |
+
"step": 890
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 1.53,
|
| 830 |
+
"learning_rate": 0.0002,
|
| 831 |
+
"loss": 0.5202,
|
| 832 |
+
"step": 900
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 1.55,
|
| 836 |
+
"learning_rate": 0.0002,
|
| 837 |
+
"loss": 0.4728,
|
| 838 |
+
"step": 910
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 1.56,
|
| 842 |
+
"learning_rate": 0.0002,
|
| 843 |
+
"loss": 0.4229,
|
| 844 |
+
"step": 920
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 1.58,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 0.4879,
|
| 850 |
+
"step": 930
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.6,
|
| 854 |
+
"learning_rate": 0.0002,
|
| 855 |
+
"loss": 0.4288,
|
| 856 |
+
"step": 940
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 1.61,
|
| 860 |
+
"learning_rate": 0.0002,
|
| 861 |
+
"loss": 0.4085,
|
| 862 |
+
"step": 950
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"epoch": 1.63,
|
| 866 |
+
"learning_rate": 0.0002,
|
| 867 |
+
"loss": 0.3793,
|
| 868 |
+
"step": 960
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"epoch": 1.65,
|
| 872 |
+
"learning_rate": 0.0002,
|
| 873 |
+
"loss": 0.503,
|
| 874 |
+
"step": 970
|
| 875 |
+
},
|
| 876 |
+
{
|
| 877 |
+
"epoch": 1.66,
|
| 878 |
+
"learning_rate": 0.0002,
|
| 879 |
+
"loss": 0.3353,
|
| 880 |
+
"step": 980
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 1.68,
|
| 884 |
+
"learning_rate": 0.0002,
|
| 885 |
+
"loss": 0.4212,
|
| 886 |
+
"step": 990
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 1.7,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 0.341,
|
| 892 |
+
"step": 1000
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.7,
|
| 896 |
+
"eval_loss": 0.4644744396209717,
|
| 897 |
+
"eval_runtime": 102.0988,
|
| 898 |
+
"eval_samples_per_second": 9.794,
|
| 899 |
+
"eval_steps_per_second": 4.897,
|
| 900 |
+
"step": 1000
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 1.7,
|
| 904 |
+
"mmlu_eval_accuracy": 0.4532186308687434,
|
| 905 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182,
|
| 906 |
+
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
|
| 907 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
| 908 |
+
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
|
| 909 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
|
| 910 |
+
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 911 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
| 912 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 913 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 914 |
+
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
|
| 915 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 916 |
+
"mmlu_eval_accuracy_computer_security": 0.2727272727272727,
|
| 917 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156,
|
| 918 |
+
"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
|
| 919 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.375,
|
| 920 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634,
|
| 921 |
+
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
|
| 922 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
| 923 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 924 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
|
| 925 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
|
| 926 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
| 927 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
|
| 928 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 929 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
|
| 930 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.10344827586206896,
|
| 931 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
|
| 932 |
+
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
|
| 933 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333,
|
| 934 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
|
| 935 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.5454545454545454,
|
| 936 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.5,
|
| 937 |
+
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
|
| 938 |
+
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 939 |
+
"mmlu_eval_accuracy_international_law": 0.7692307692307693,
|
| 940 |
+
"mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
|
| 941 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112,
|
| 942 |
+
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
|
| 943 |
+
"mmlu_eval_accuracy_management": 0.45454545454545453,
|
| 944 |
+
"mmlu_eval_accuracy_marketing": 0.72,
|
| 945 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
| 946 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
|
| 947 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
|
| 948 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
| 949 |
+
"mmlu_eval_accuracy_nutrition": 0.48484848484848486,
|
| 950 |
+
"mmlu_eval_accuracy_philosophy": 0.47058823529411764,
|
| 951 |
+
"mmlu_eval_accuracy_prehistory": 0.4857142857142857,
|
| 952 |
+
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
|
| 953 |
+
"mmlu_eval_accuracy_professional_law": 0.3352941176470588,
|
| 954 |
+
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
|
| 955 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
|
| 956 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 957 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
| 958 |
+
"mmlu_eval_accuracy_sociology": 0.5454545454545454,
|
| 959 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
|
| 960 |
+
"mmlu_eval_accuracy_virology": 0.3888888888888889,
|
| 961 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 962 |
+
"mmlu_loss": 0.9635014412705799,
|
| 963 |
+
"step": 1000
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 1.72,
|
| 967 |
+
"learning_rate": 0.0002,
|
| 968 |
+
"loss": 0.4641,
|
| 969 |
+
"step": 1010
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.73,
|
| 973 |
+
"learning_rate": 0.0002,
|
| 974 |
+
"loss": 0.4247,
|
| 975 |
+
"step": 1020
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 1.75,
|
| 979 |
+
"learning_rate": 0.0002,
|
| 980 |
+
"loss": 0.3628,
|
| 981 |
+
"step": 1030
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 1.77,
|
| 985 |
+
"learning_rate": 0.0002,
|
| 986 |
+
"loss": 0.3531,
|
| 987 |
+
"step": 1040
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 1.78,
|
| 991 |
+
"learning_rate": 0.0002,
|
| 992 |
+
"loss": 0.407,
|
| 993 |
+
"step": 1050
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 1.8,
|
| 997 |
+
"learning_rate": 0.0002,
|
| 998 |
+
"loss": 0.3457,
|
| 999 |
+
"step": 1060
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 1.82,
|
| 1003 |
+
"learning_rate": 0.0002,
|
| 1004 |
+
"loss": 0.3636,
|
| 1005 |
+
"step": 1070
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 1.83,
|
| 1009 |
+
"learning_rate": 0.0002,
|
| 1010 |
+
"loss": 0.4112,
|
| 1011 |
+
"step": 1080
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.85,
|
| 1015 |
+
"learning_rate": 0.0002,
|
| 1016 |
+
"loss": 0.4043,
|
| 1017 |
+
"step": 1090
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 1.87,
|
| 1021 |
+
"learning_rate": 0.0002,
|
| 1022 |
+
"loss": 0.4891,
|
| 1023 |
+
"step": 1100
|
| 1024 |
+
},
|
| 1025 |
+
{
|
| 1026 |
+
"epoch": 1.89,
|
| 1027 |
+
"learning_rate": 0.0002,
|
| 1028 |
+
"loss": 0.4216,
|
| 1029 |
+
"step": 1110
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 1.9,
|
| 1033 |
+
"learning_rate": 0.0002,
|
| 1034 |
+
"loss": 0.2883,
|
| 1035 |
+
"step": 1120
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 1.92,
|
| 1039 |
+
"learning_rate": 0.0002,
|
| 1040 |
+
"loss": 0.4063,
|
| 1041 |
+
"step": 1130
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 1.94,
|
| 1045 |
+
"learning_rate": 0.0002,
|
| 1046 |
+
"loss": 0.3683,
|
| 1047 |
+
"step": 1140
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 1.95,
|
| 1051 |
+
"learning_rate": 0.0002,
|
| 1052 |
+
"loss": 0.3717,
|
| 1053 |
+
"step": 1150
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 1.97,
|
| 1057 |
+
"learning_rate": 0.0002,
|
| 1058 |
+
"loss": 0.4374,
|
| 1059 |
+
"step": 1160
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 1.99,
|
| 1063 |
+
"learning_rate": 0.0002,
|
| 1064 |
+
"loss": 0.4172,
|
| 1065 |
+
"step": 1170
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 2.0,
|
| 1069 |
+
"learning_rate": 0.0002,
|
| 1070 |
+
"loss": 0.2856,
|
| 1071 |
+
"step": 1180
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 2.02,
|
| 1075 |
+
"learning_rate": 0.0002,
|
| 1076 |
+
"loss": 0.265,
|
| 1077 |
+
"step": 1190
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 2.04,
|
| 1081 |
+
"learning_rate": 0.0002,
|
| 1082 |
+
"loss": 0.2448,
|
| 1083 |
+
"step": 1200
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 2.04,
|
| 1087 |
+
"eval_loss": 0.5078285336494446,
|
| 1088 |
+
"eval_runtime": 102.2139,
|
| 1089 |
+
"eval_samples_per_second": 9.783,
|
| 1090 |
+
"eval_steps_per_second": 4.892,
|
| 1091 |
+
"step": 1200
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 2.04,
|
| 1095 |
+
"mmlu_eval_accuracy": 0.45134380789496525,
|
| 1096 |
+
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 1097 |
+
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 1098 |
+
"mmlu_eval_accuracy_astronomy": 0.5,
|
| 1099 |
+
"mmlu_eval_accuracy_business_ethics": 0.7272727272727273,
|
| 1100 |
+
"mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
|
| 1101 |
+
"mmlu_eval_accuracy_college_biology": 0.375,
|
| 1102 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
| 1103 |
+
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 1104 |
+
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
|
| 1105 |
+
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
| 1106 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 1107 |
+
"mmlu_eval_accuracy_computer_security": 0.2727272727272727,
|
| 1108 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
|
| 1109 |
+
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 1110 |
+
"mmlu_eval_accuracy_electrical_engineering": 0.125,
|
| 1111 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
| 1112 |
+
"mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
|
| 1113 |
+
"mmlu_eval_accuracy_global_facts": 0.4,
|
| 1114 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 1115 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
|
| 1116 |
+
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
|
| 1117 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5,
|
| 1118 |
+
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
|
| 1119 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238,
|
| 1120 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395,
|
| 1121 |
+
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
|
| 1122 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077,
|
| 1123 |
+
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
|
| 1124 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333,
|
| 1125 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
|
| 1126 |
+
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
|
| 1127 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.46153846153846156,
|
| 1128 |
+
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
|
| 1129 |
+
"mmlu_eval_accuracy_human_sexuality": 0.25,
|
| 1130 |
+
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
| 1131 |
+
"mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
|
| 1132 |
+
"mmlu_eval_accuracy_logical_fallacies": 0.5,
|
| 1133 |
+
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
|
| 1134 |
+
"mmlu_eval_accuracy_management": 0.45454545454545453,
|
| 1135 |
+
"mmlu_eval_accuracy_marketing": 0.68,
|
| 1136 |
+
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
|
| 1137 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6162790697674418,
|
| 1138 |
+
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
|
| 1139 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
| 1140 |
+
"mmlu_eval_accuracy_nutrition": 0.5151515151515151,
|
| 1141 |
+
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 1142 |
+
"mmlu_eval_accuracy_prehistory": 0.4,
|
| 1143 |
+
"mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
|
| 1144 |
+
"mmlu_eval_accuracy_professional_law": 0.34705882352941175,
|
| 1145 |
+
"mmlu_eval_accuracy_professional_medicine": 0.3548387096774194,
|
| 1146 |
+
"mmlu_eval_accuracy_professional_psychology": 0.463768115942029,
|
| 1147 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 1148 |
+
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 1149 |
+
"mmlu_eval_accuracy_sociology": 0.5,
|
| 1150 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
|
| 1151 |
+
"mmlu_eval_accuracy_virology": 0.3888888888888889,
|
| 1152 |
+
"mmlu_eval_accuracy_world_religions": 0.6842105263157895,
|
| 1153 |
+
"mmlu_loss": 0.9378224162934421,
|
| 1154 |
+
"step": 1200
|
| 1155 |
+
}
|
| 1156 |
+
],
|
| 1157 |
+
"max_steps": 5000,
|
| 1158 |
+
"num_train_epochs": 9,
|
| 1159 |
+
"total_flos": 1.1171389466360218e+17,
|
| 1160 |
+
"trial_name": null,
|
| 1161 |
+
"trial_params": null
|
| 1162 |
+
}
|