Instructions to use ErrorAI/97b33462-44ae-4e18-a978-37f476a489f4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/97b33462-44ae-4e18-a978-37f476a489f4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/polyglot-ko-12.8b-safetensors") model = PeftModel.from_pretrained(base_model, "ErrorAI/97b33462-44ae-4e18-a978-37f476a489f4") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 432, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 104902272
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8edf954928558504b93bfb3e4f033216a145609a42234b29a989c3c883b50ec3
|
| 3 |
size 104902272
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 53623316
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93687bb4f1837302c1ceeebd9af6fb41fa620980d1257e9e5656bde270cd0ae0
|
| 3 |
size 53623316
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76446eff5230a4e60854e86405b8835d56c7973a58b5062f70239e1d5d6d30f0
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:374f35b07890d49f71aa67dad27ce736c08a53c5162931168029848a987cb52d
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -2023,6 +2023,1014 @@
|
|
| 2023 |
"learning_rate": 5.041408920127333e-05,
|
| 2024 |
"loss": 5.8254,
|
| 2025 |
"step": 288
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2026 |
}
|
| 2027 |
],
|
| 2028 |
"logging_steps": 1,
|
|
@@ -2042,7 +3050,7 @@
|
|
| 2042 |
"attributes": {}
|
| 2043 |
}
|
| 2044 |
},
|
| 2045 |
-
"total_flos":
|
| 2046 |
"train_batch_size": 4,
|
| 2047 |
"trial_name": null,
|
| 2048 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.7529411764705882,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 432,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 2023 |
"learning_rate": 5.041408920127333e-05,
|
| 2024 |
"loss": 5.8254,
|
| 2025 |
"step": 288
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.5037037037037037,
|
| 2029 |
+
"grad_norm": 3.46852445602417,
|
| 2030 |
+
"learning_rate": 5.013803113634513e-05,
|
| 2031 |
+
"loss": 6.0773,
|
| 2032 |
+
"step": 289
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.5054466230936819,
|
| 2036 |
+
"grad_norm": 3.313955783843994,
|
| 2037 |
+
"learning_rate": 4.9861968863654875e-05,
|
| 2038 |
+
"loss": 6.0403,
|
| 2039 |
+
"step": 290
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.5071895424836601,
|
| 2043 |
+
"grad_norm": 3.8740715980529785,
|
| 2044 |
+
"learning_rate": 4.9585910798726675e-05,
|
| 2045 |
+
"loss": 5.9903,
|
| 2046 |
+
"step": 291
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.5089324618736384,
|
| 2050 |
+
"grad_norm": 3.757556200027466,
|
| 2051 |
+
"learning_rate": 4.930986535695636e-05,
|
| 2052 |
+
"loss": 6.2896,
|
| 2053 |
+
"step": 292
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.5106753812636166,
|
| 2057 |
+
"grad_norm": 3.6889286041259766,
|
| 2058 |
+
"learning_rate": 4.903384095335496e-05,
|
| 2059 |
+
"loss": 5.8151,
|
| 2060 |
+
"step": 293
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.5124183006535947,
|
| 2064 |
+
"grad_norm": 4.151840686798096,
|
| 2065 |
+
"learning_rate": 4.875784600229219e-05,
|
| 2066 |
+
"loss": 6.2659,
|
| 2067 |
+
"step": 294
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.514161220043573,
|
| 2071 |
+
"grad_norm": 4.211326599121094,
|
| 2072 |
+
"learning_rate": 4.84818889172399e-05,
|
| 2073 |
+
"loss": 6.1899,
|
| 2074 |
+
"step": 295
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.5159041394335512,
|
| 2078 |
+
"grad_norm": 4.54414176940918,
|
| 2079 |
+
"learning_rate": 4.820597811051563e-05,
|
| 2080 |
+
"loss": 6.2132,
|
| 2081 |
+
"step": 296
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.5176470588235295,
|
| 2085 |
+
"grad_norm": 4.429652214050293,
|
| 2086 |
+
"learning_rate": 4.793012199302619e-05,
|
| 2087 |
+
"loss": 5.5246,
|
| 2088 |
+
"step": 297
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.5193899782135076,
|
| 2092 |
+
"grad_norm": 4.5998215675354,
|
| 2093 |
+
"learning_rate": 4.7654328974011215e-05,
|
| 2094 |
+
"loss": 5.3552,
|
| 2095 |
+
"step": 298
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.5211328976034858,
|
| 2099 |
+
"grad_norm": 5.3889360427856445,
|
| 2100 |
+
"learning_rate": 4.737860746078682e-05,
|
| 2101 |
+
"loss": 6.4514,
|
| 2102 |
+
"step": 299
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.5228758169934641,
|
| 2106 |
+
"grad_norm": 7.492801189422607,
|
| 2107 |
+
"learning_rate": 4.7102965858489377e-05,
|
| 2108 |
+
"loss": 6.5814,
|
| 2109 |
+
"step": 300
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.5246187363834423,
|
| 2113 |
+
"grad_norm": 4.071569919586182,
|
| 2114 |
+
"learning_rate": 4.682741256981922e-05,
|
| 2115 |
+
"loss": 6.7165,
|
| 2116 |
+
"step": 301
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.5263616557734205,
|
| 2120 |
+
"grad_norm": 4.44246768951416,
|
| 2121 |
+
"learning_rate": 4.6551955994784476e-05,
|
| 2122 |
+
"loss": 6.2602,
|
| 2123 |
+
"step": 302
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.5281045751633987,
|
| 2127 |
+
"grad_norm": 4.112141132354736,
|
| 2128 |
+
"learning_rate": 4.627660453044508e-05,
|
| 2129 |
+
"loss": 6.4776,
|
| 2130 |
+
"step": 303
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.5298474945533769,
|
| 2134 |
+
"grad_norm": 3.4108433723449707,
|
| 2135 |
+
"learning_rate": 4.600136657065677e-05,
|
| 2136 |
+
"loss": 6.7222,
|
| 2137 |
+
"step": 304
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.5315904139433552,
|
| 2141 |
+
"grad_norm": 2.8327457904815674,
|
| 2142 |
+
"learning_rate": 4.572625050581516e-05,
|
| 2143 |
+
"loss": 6.1231,
|
| 2144 |
+
"step": 305
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.5333333333333333,
|
| 2148 |
+
"grad_norm": 2.671339750289917,
|
| 2149 |
+
"learning_rate": 4.5451264722600004e-05,
|
| 2150 |
+
"loss": 6.5039,
|
| 2151 |
+
"step": 306
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.5350762527233115,
|
| 2155 |
+
"grad_norm": 2.57826566696167,
|
| 2156 |
+
"learning_rate": 4.517641760371955e-05,
|
| 2157 |
+
"loss": 6.6876,
|
| 2158 |
+
"step": 307
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.5368191721132898,
|
| 2162 |
+
"grad_norm": 2.4179985523223877,
|
| 2163 |
+
"learning_rate": 4.490171752765494e-05,
|
| 2164 |
+
"loss": 6.523,
|
| 2165 |
+
"step": 308
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.538562091503268,
|
| 2169 |
+
"grad_norm": 2.155496835708618,
|
| 2170 |
+
"learning_rate": 4.4627172868404925e-05,
|
| 2171 |
+
"loss": 6.106,
|
| 2172 |
+
"step": 309
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.5403050108932462,
|
| 2176 |
+
"grad_norm": 2.359637975692749,
|
| 2177 |
+
"learning_rate": 4.435279199523043e-05,
|
| 2178 |
+
"loss": 6.3867,
|
| 2179 |
+
"step": 310
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.5420479302832244,
|
| 2183 |
+
"grad_norm": 2.521045207977295,
|
| 2184 |
+
"learning_rate": 4.4078583272399516e-05,
|
| 2185 |
+
"loss": 5.9621,
|
| 2186 |
+
"step": 311
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.5437908496732026,
|
| 2190 |
+
"grad_norm": 2.3839895725250244,
|
| 2191 |
+
"learning_rate": 4.38045550589324e-05,
|
| 2192 |
+
"loss": 6.1734,
|
| 2193 |
+
"step": 312
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.5455337690631809,
|
| 2197 |
+
"grad_norm": 2.331204414367676,
|
| 2198 |
+
"learning_rate": 4.353071570834662e-05,
|
| 2199 |
+
"loss": 6.1698,
|
| 2200 |
+
"step": 313
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 0.547276688453159,
|
| 2204 |
+
"grad_norm": 2.23482346534729,
|
| 2205 |
+
"learning_rate": 4.3257073568402376e-05,
|
| 2206 |
+
"loss": 5.8396,
|
| 2207 |
+
"step": 314
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 0.5490196078431373,
|
| 2211 |
+
"grad_norm": 2.3547494411468506,
|
| 2212 |
+
"learning_rate": 4.298363698084809e-05,
|
| 2213 |
+
"loss": 6.1464,
|
| 2214 |
+
"step": 315
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 0.5507625272331155,
|
| 2218 |
+
"grad_norm": 2.7615067958831787,
|
| 2219 |
+
"learning_rate": 4.271041428116608e-05,
|
| 2220 |
+
"loss": 6.2368,
|
| 2221 |
+
"step": 316
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 0.5525054466230936,
|
| 2225 |
+
"grad_norm": 2.349308490753174,
|
| 2226 |
+
"learning_rate": 4.243741379831848e-05,
|
| 2227 |
+
"loss": 6.1397,
|
| 2228 |
+
"step": 317
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 0.5542483660130719,
|
| 2232 |
+
"grad_norm": 2.9273488521575928,
|
| 2233 |
+
"learning_rate": 4.216464385449335e-05,
|
| 2234 |
+
"loss": 5.7099,
|
| 2235 |
+
"step": 318
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 0.5559912854030501,
|
| 2239 |
+
"grad_norm": 2.588170289993286,
|
| 2240 |
+
"learning_rate": 4.189211276485093e-05,
|
| 2241 |
+
"loss": 6.173,
|
| 2242 |
+
"step": 319
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 0.5577342047930284,
|
| 2246 |
+
"grad_norm": 2.5796093940734863,
|
| 2247 |
+
"learning_rate": 4.16198288372702e-05,
|
| 2248 |
+
"loss": 6.371,
|
| 2249 |
+
"step": 320
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 0.5594771241830065,
|
| 2253 |
+
"grad_norm": 2.47575044631958,
|
| 2254 |
+
"learning_rate": 4.134780037209563e-05,
|
| 2255 |
+
"loss": 6.2689,
|
| 2256 |
+
"step": 321
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 0.5612200435729847,
|
| 2260 |
+
"grad_norm": 2.668144941329956,
|
| 2261 |
+
"learning_rate": 4.107603566188412e-05,
|
| 2262 |
+
"loss": 6.1477,
|
| 2263 |
+
"step": 322
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 0.562962962962963,
|
| 2267 |
+
"grad_norm": 2.58866548538208,
|
| 2268 |
+
"learning_rate": 4.080454299115224e-05,
|
| 2269 |
+
"loss": 5.9513,
|
| 2270 |
+
"step": 323
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 0.5647058823529412,
|
| 2274 |
+
"grad_norm": 2.588249921798706,
|
| 2275 |
+
"learning_rate": 4.053333063612365e-05,
|
| 2276 |
+
"loss": 6.1205,
|
| 2277 |
+
"step": 324
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 0.5664488017429193,
|
| 2281 |
+
"grad_norm": 2.637942314147949,
|
| 2282 |
+
"learning_rate": 4.026240686447682e-05,
|
| 2283 |
+
"loss": 5.8971,
|
| 2284 |
+
"step": 325
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 0.5681917211328976,
|
| 2288 |
+
"grad_norm": 2.8684513568878174,
|
| 2289 |
+
"learning_rate": 3.9991779935093035e-05,
|
| 2290 |
+
"loss": 6.1472,
|
| 2291 |
+
"step": 326
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 0.5699346405228758,
|
| 2295 |
+
"grad_norm": 2.8887667655944824,
|
| 2296 |
+
"learning_rate": 3.972145809780457e-05,
|
| 2297 |
+
"loss": 6.4613,
|
| 2298 |
+
"step": 327
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.5716775599128541,
|
| 2302 |
+
"grad_norm": 2.7175791263580322,
|
| 2303 |
+
"learning_rate": 3.945144959314321e-05,
|
| 2304 |
+
"loss": 6.0686,
|
| 2305 |
+
"step": 328
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 0.5734204793028322,
|
| 2309 |
+
"grad_norm": 2.9769113063812256,
|
| 2310 |
+
"learning_rate": 3.9181762652089115e-05,
|
| 2311 |
+
"loss": 6.1894,
|
| 2312 |
+
"step": 329
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 0.5751633986928104,
|
| 2316 |
+
"grad_norm": 2.8220508098602295,
|
| 2317 |
+
"learning_rate": 3.8912405495819786e-05,
|
| 2318 |
+
"loss": 5.6237,
|
| 2319 |
+
"step": 330
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.5769063180827887,
|
| 2323 |
+
"grad_norm": 3.080310821533203,
|
| 2324 |
+
"learning_rate": 3.864338633545956e-05,
|
| 2325 |
+
"loss": 5.8777,
|
| 2326 |
+
"step": 331
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 0.5786492374727669,
|
| 2330 |
+
"grad_norm": 2.768021583557129,
|
| 2331 |
+
"learning_rate": 3.837471337182923e-05,
|
| 2332 |
+
"loss": 5.9109,
|
| 2333 |
+
"step": 332
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 0.5803921568627451,
|
| 2337 |
+
"grad_norm": 3.0659565925598145,
|
| 2338 |
+
"learning_rate": 3.8106394795196085e-05,
|
| 2339 |
+
"loss": 5.5896,
|
| 2340 |
+
"step": 333
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 0.5821350762527233,
|
| 2344 |
+
"grad_norm": 3.5265822410583496,
|
| 2345 |
+
"learning_rate": 3.783843878502422e-05,
|
| 2346 |
+
"loss": 6.3057,
|
| 2347 |
+
"step": 334
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 0.5838779956427015,
|
| 2351 |
+
"grad_norm": 3.2464277744293213,
|
| 2352 |
+
"learning_rate": 3.757085350972523e-05,
|
| 2353 |
+
"loss": 6.5729,
|
| 2354 |
+
"step": 335
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 0.5856209150326798,
|
| 2358 |
+
"grad_norm": 3.140838146209717,
|
| 2359 |
+
"learning_rate": 3.730364712640915e-05,
|
| 2360 |
+
"loss": 6.0387,
|
| 2361 |
+
"step": 336
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 0.5873638344226579,
|
| 2365 |
+
"grad_norm": 3.3155360221862793,
|
| 2366 |
+
"learning_rate": 3.703682778063581e-05,
|
| 2367 |
+
"loss": 5.8154,
|
| 2368 |
+
"step": 337
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 0.5891067538126362,
|
| 2372 |
+
"grad_norm": 3.295804262161255,
|
| 2373 |
+
"learning_rate": 3.6770403606166516e-05,
|
| 2374 |
+
"loss": 5.4747,
|
| 2375 |
+
"step": 338
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 0.5908496732026144,
|
| 2379 |
+
"grad_norm": 3.4468038082122803,
|
| 2380 |
+
"learning_rate": 3.650438272471614e-05,
|
| 2381 |
+
"loss": 5.9762,
|
| 2382 |
+
"step": 339
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 0.5925925925925926,
|
| 2386 |
+
"grad_norm": 3.5181455612182617,
|
| 2387 |
+
"learning_rate": 3.623877324570548e-05,
|
| 2388 |
+
"loss": 5.9973,
|
| 2389 |
+
"step": 340
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 0.5943355119825708,
|
| 2393 |
+
"grad_norm": 3.8262414932250977,
|
| 2394 |
+
"learning_rate": 3.597358326601413e-05,
|
| 2395 |
+
"loss": 6.1401,
|
| 2396 |
+
"step": 341
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 0.596078431372549,
|
| 2400 |
+
"grad_norm": 3.8463528156280518,
|
| 2401 |
+
"learning_rate": 3.570882086973355e-05,
|
| 2402 |
+
"loss": 5.7267,
|
| 2403 |
+
"step": 342
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 0.5978213507625272,
|
| 2407 |
+
"grad_norm": 3.95530366897583,
|
| 2408 |
+
"learning_rate": 3.544449412792069e-05,
|
| 2409 |
+
"loss": 6.0974,
|
| 2410 |
+
"step": 343
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 0.5995642701525055,
|
| 2414 |
+
"grad_norm": 4.1233439445495605,
|
| 2415 |
+
"learning_rate": 3.518061109835199e-05,
|
| 2416 |
+
"loss": 5.3623,
|
| 2417 |
+
"step": 344
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 0.6013071895424836,
|
| 2421 |
+
"grad_norm": 4.098522186279297,
|
| 2422 |
+
"learning_rate": 3.491717982527765e-05,
|
| 2423 |
+
"loss": 5.8174,
|
| 2424 |
+
"step": 345
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 0.6030501089324619,
|
| 2428 |
+
"grad_norm": 4.322263240814209,
|
| 2429 |
+
"learning_rate": 3.4654208339176474e-05,
|
| 2430 |
+
"loss": 6.0519,
|
| 2431 |
+
"step": 346
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 0.6047930283224401,
|
| 2435 |
+
"grad_norm": 4.396242141723633,
|
| 2436 |
+
"learning_rate": 3.4391704656511035e-05,
|
| 2437 |
+
"loss": 5.6862,
|
| 2438 |
+
"step": 347
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 0.6065359477124183,
|
| 2442 |
+
"grad_norm": 4.667327404022217,
|
| 2443 |
+
"learning_rate": 3.4129676779483344e-05,
|
| 2444 |
+
"loss": 5.9945,
|
| 2445 |
+
"step": 348
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 0.6082788671023965,
|
| 2449 |
+
"grad_norm": 5.673772811889648,
|
| 2450 |
+
"learning_rate": 3.386813269579085e-05,
|
| 2451 |
+
"loss": 5.9577,
|
| 2452 |
+
"step": 349
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 0.6100217864923747,
|
| 2456 |
+
"grad_norm": 7.139450550079346,
|
| 2457 |
+
"learning_rate": 3.3607080378383005e-05,
|
| 2458 |
+
"loss": 6.0682,
|
| 2459 |
+
"step": 350
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 0.611764705882353,
|
| 2463 |
+
"grad_norm": 3.970557451248169,
|
| 2464 |
+
"learning_rate": 3.3346527785218127e-05,
|
| 2465 |
+
"loss": 6.1277,
|
| 2466 |
+
"step": 351
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 0.6135076252723312,
|
| 2470 |
+
"grad_norm": 3.600226879119873,
|
| 2471 |
+
"learning_rate": 3.308648285902096e-05,
|
| 2472 |
+
"loss": 6.2035,
|
| 2473 |
+
"step": 352
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 0.6152505446623093,
|
| 2477 |
+
"grad_norm": 3.8150582313537598,
|
| 2478 |
+
"learning_rate": 3.282695352704036e-05,
|
| 2479 |
+
"loss": 6.721,
|
| 2480 |
+
"step": 353
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 0.6169934640522876,
|
| 2484 |
+
"grad_norm": 2.8972177505493164,
|
| 2485 |
+
"learning_rate": 3.256794770080778e-05,
|
| 2486 |
+
"loss": 6.3634,
|
| 2487 |
+
"step": 354
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 0.6187363834422658,
|
| 2491 |
+
"grad_norm": 2.91469669342041,
|
| 2492 |
+
"learning_rate": 3.230947327589602e-05,
|
| 2493 |
+
"loss": 6.988,
|
| 2494 |
+
"step": 355
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 0.6204793028322441,
|
| 2498 |
+
"grad_norm": 2.3781847953796387,
|
| 2499 |
+
"learning_rate": 3.2051538131678584e-05,
|
| 2500 |
+
"loss": 6.0219,
|
| 2501 |
+
"step": 356
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 0.6222222222222222,
|
| 2505 |
+
"grad_norm": 2.3746273517608643,
|
| 2506 |
+
"learning_rate": 3.179415013108943e-05,
|
| 2507 |
+
"loss": 6.2648,
|
| 2508 |
+
"step": 357
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 0.6239651416122004,
|
| 2512 |
+
"grad_norm": 2.353785991668701,
|
| 2513 |
+
"learning_rate": 3.1537317120383345e-05,
|
| 2514 |
+
"loss": 6.8266,
|
| 2515 |
+
"step": 358
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 0.6257080610021787,
|
| 2519 |
+
"grad_norm": 2.4510021209716797,
|
| 2520 |
+
"learning_rate": 3.12810469288967e-05,
|
| 2521 |
+
"loss": 6.1016,
|
| 2522 |
+
"step": 359
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 0.6274509803921569,
|
| 2526 |
+
"grad_norm": 2.2164430618286133,
|
| 2527 |
+
"learning_rate": 3.1025347368808775e-05,
|
| 2528 |
+
"loss": 6.1456,
|
| 2529 |
+
"step": 360
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 0.629193899782135,
|
| 2533 |
+
"grad_norm": 2.3002395629882812,
|
| 2534 |
+
"learning_rate": 3.077022623490371e-05,
|
| 2535 |
+
"loss": 6.5192,
|
| 2536 |
+
"step": 361
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 0.6309368191721133,
|
| 2540 |
+
"grad_norm": 2.1544463634490967,
|
| 2541 |
+
"learning_rate": 3.0515691304332726e-05,
|
| 2542 |
+
"loss": 5.8769,
|
| 2543 |
+
"step": 362
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 0.6326797385620915,
|
| 2547 |
+
"grad_norm": 2.5770881175994873,
|
| 2548 |
+
"learning_rate": 3.0261750336377202e-05,
|
| 2549 |
+
"loss": 6.1575,
|
| 2550 |
+
"step": 363
|
| 2551 |
+
},
|
| 2552 |
+
{
|
| 2553 |
+
"epoch": 0.6344226579520698,
|
| 2554 |
+
"grad_norm": 2.342649221420288,
|
| 2555 |
+
"learning_rate": 3.0008411072212028e-05,
|
| 2556 |
+
"loss": 6.3911,
|
| 2557 |
+
"step": 364
|
| 2558 |
+
},
|
| 2559 |
+
{
|
| 2560 |
+
"epoch": 0.6361655773420479,
|
| 2561 |
+
"grad_norm": 2.405895709991455,
|
| 2562 |
+
"learning_rate": 2.9755681234669663e-05,
|
| 2563 |
+
"loss": 6.3624,
|
| 2564 |
+
"step": 365
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 0.6379084967320261,
|
| 2568 |
+
"grad_norm": 2.6010117530822754,
|
| 2569 |
+
"learning_rate": 2.9503568528004756e-05,
|
| 2570 |
+
"loss": 6.2125,
|
| 2571 |
+
"step": 366
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 0.6396514161220044,
|
| 2575 |
+
"grad_norm": 2.4137613773345947,
|
| 2576 |
+
"learning_rate": 2.9252080637659202e-05,
|
| 2577 |
+
"loss": 6.1491,
|
| 2578 |
+
"step": 367
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 0.6413943355119825,
|
| 2582 |
+
"grad_norm": 2.4673397541046143,
|
| 2583 |
+
"learning_rate": 2.9001225230027922e-05,
|
| 2584 |
+
"loss": 5.8103,
|
| 2585 |
+
"step": 368
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 0.6431372549019608,
|
| 2589 |
+
"grad_norm": 2.385077953338623,
|
| 2590 |
+
"learning_rate": 2.8751009952225116e-05,
|
| 2591 |
+
"loss": 5.9594,
|
| 2592 |
+
"step": 369
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 0.644880174291939,
|
| 2596 |
+
"grad_norm": 2.573052167892456,
|
| 2597 |
+
"learning_rate": 2.85014424318512e-05,
|
| 2598 |
+
"loss": 6.5171,
|
| 2599 |
+
"step": 370
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 0.6466230936819172,
|
| 2603 |
+
"grad_norm": 2.530339002609253,
|
| 2604 |
+
"learning_rate": 2.825253027676026e-05,
|
| 2605 |
+
"loss": 5.868,
|
| 2606 |
+
"step": 371
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 0.6483660130718955,
|
| 2610 |
+
"grad_norm": 2.685885190963745,
|
| 2611 |
+
"learning_rate": 2.8004281074828066e-05,
|
| 2612 |
+
"loss": 6.0836,
|
| 2613 |
+
"step": 372
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 0.6501089324618736,
|
| 2617 |
+
"grad_norm": 2.4924590587615967,
|
| 2618 |
+
"learning_rate": 2.775670239372088e-05,
|
| 2619 |
+
"loss": 6.0432,
|
| 2620 |
+
"step": 373
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 0.6518518518518519,
|
| 2624 |
+
"grad_norm": 2.4421753883361816,
|
| 2625 |
+
"learning_rate": 2.7509801780664722e-05,
|
| 2626 |
+
"loss": 5.6009,
|
| 2627 |
+
"step": 374
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 0.6535947712418301,
|
| 2631 |
+
"grad_norm": 2.7240960597991943,
|
| 2632 |
+
"learning_rate": 2.7263586762215197e-05,
|
| 2633 |
+
"loss": 6.4038,
|
| 2634 |
+
"step": 375
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 0.6553376906318082,
|
| 2638 |
+
"grad_norm": 2.821495294570923,
|
| 2639 |
+
"learning_rate": 2.7018064844028247e-05,
|
| 2640 |
+
"loss": 6.1641,
|
| 2641 |
+
"step": 376
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 0.6570806100217865,
|
| 2645 |
+
"grad_norm": 2.604276418685913,
|
| 2646 |
+
"learning_rate": 2.6773243510631147e-05,
|
| 2647 |
+
"loss": 5.8381,
|
| 2648 |
+
"step": 377
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 0.6588235294117647,
|
| 2652 |
+
"grad_norm": 2.566859722137451,
|
| 2653 |
+
"learning_rate": 2.6529130225194492e-05,
|
| 2654 |
+
"loss": 5.8157,
|
| 2655 |
+
"step": 378
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 0.6605664488017429,
|
| 2659 |
+
"grad_norm": 2.681065082550049,
|
| 2660 |
+
"learning_rate": 2.628573242930463e-05,
|
| 2661 |
+
"loss": 5.9249,
|
| 2662 |
+
"step": 379
|
| 2663 |
+
},
|
| 2664 |
+
{
|
| 2665 |
+
"epoch": 0.6623093681917211,
|
| 2666 |
+
"grad_norm": 2.881753921508789,
|
| 2667 |
+
"learning_rate": 2.6043057542736836e-05,
|
| 2668 |
+
"loss": 5.9907,
|
| 2669 |
+
"step": 380
|
| 2670 |
+
},
|
| 2671 |
+
{
|
| 2672 |
+
"epoch": 0.6640522875816993,
|
| 2673 |
+
"grad_norm": 2.9366629123687744,
|
| 2674 |
+
"learning_rate": 2.580111296322904e-05,
|
| 2675 |
+
"loss": 6.1998,
|
| 2676 |
+
"step": 381
|
| 2677 |
+
},
|
| 2678 |
+
{
|
| 2679 |
+
"epoch": 0.6657952069716776,
|
| 2680 |
+
"grad_norm": 2.7908003330230713,
|
| 2681 |
+
"learning_rate": 2.5559906066256468e-05,
|
| 2682 |
+
"loss": 5.684,
|
| 2683 |
+
"step": 382
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"epoch": 0.6675381263616558,
|
| 2687 |
+
"grad_norm": 3.17881178855896,
|
| 2688 |
+
"learning_rate": 2.5319444204806624e-05,
|
| 2689 |
+
"loss": 5.6958,
|
| 2690 |
+
"step": 383
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 0.6692810457516339,
|
| 2694 |
+
"grad_norm": 2.9115662574768066,
|
| 2695 |
+
"learning_rate": 2.5079734709155322e-05,
|
| 2696 |
+
"loss": 6.0,
|
| 2697 |
+
"step": 384
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 0.6710239651416122,
|
| 2701 |
+
"grad_norm": 3.160400867462158,
|
| 2702 |
+
"learning_rate": 2.4840784886643132e-05,
|
| 2703 |
+
"loss": 6.0205,
|
| 2704 |
+
"step": 385
|
| 2705 |
+
},
|
| 2706 |
+
{
|
| 2707 |
+
"epoch": 0.6727668845315904,
|
| 2708 |
+
"grad_norm": 3.053187370300293,
|
| 2709 |
+
"learning_rate": 2.460260202145256e-05,
|
| 2710 |
+
"loss": 5.9711,
|
| 2711 |
+
"step": 386
|
| 2712 |
+
},
|
| 2713 |
+
{
|
| 2714 |
+
"epoch": 0.6745098039215687,
|
| 2715 |
+
"grad_norm": 3.328679323196411,
|
| 2716 |
+
"learning_rate": 2.4365193374386146e-05,
|
| 2717 |
+
"loss": 6.0894,
|
| 2718 |
+
"step": 387
|
| 2719 |
+
},
|
| 2720 |
+
{
|
| 2721 |
+
"epoch": 0.6762527233115468,
|
| 2722 |
+
"grad_norm": 3.2774860858917236,
|
| 2723 |
+
"learning_rate": 2.4128566182645025e-05,
|
| 2724 |
+
"loss": 6.2712,
|
| 2725 |
+
"step": 388
|
| 2726 |
+
},
|
| 2727 |
+
{
|
| 2728 |
+
"epoch": 0.677995642701525,
|
| 2729 |
+
"grad_norm": 3.6069304943084717,
|
| 2730 |
+
"learning_rate": 2.3892727659608337e-05,
|
| 2731 |
+
"loss": 6.3312,
|
| 2732 |
+
"step": 389
|
| 2733 |
+
},
|
| 2734 |
+
{
|
| 2735 |
+
"epoch": 0.6797385620915033,
|
| 2736 |
+
"grad_norm": 3.3666365146636963,
|
| 2737 |
+
"learning_rate": 2.365768499461328e-05,
|
| 2738 |
+
"loss": 5.6572,
|
| 2739 |
+
"step": 390
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 0.6814814814814815,
|
| 2743 |
+
"grad_norm": 3.515587568283081,
|
| 2744 |
+
"learning_rate": 2.342344535273608e-05,
|
| 2745 |
+
"loss": 5.971,
|
| 2746 |
+
"step": 391
|
| 2747 |
+
},
|
| 2748 |
+
{
|
| 2749 |
+
"epoch": 0.6832244008714597,
|
| 2750 |
+
"grad_norm": 3.494443893432617,
|
| 2751 |
+
"learning_rate": 2.3190015874573374e-05,
|
| 2752 |
+
"loss": 5.4621,
|
| 2753 |
+
"step": 392
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"epoch": 0.6849673202614379,
|
| 2757 |
+
"grad_norm": 3.653798818588257,
|
| 2758 |
+
"learning_rate": 2.2957403676024764e-05,
|
| 2759 |
+
"loss": 5.8032,
|
| 2760 |
+
"step": 393
|
| 2761 |
+
},
|
| 2762 |
+
{
|
| 2763 |
+
"epoch": 0.6867102396514161,
|
| 2764 |
+
"grad_norm": 3.884798526763916,
|
| 2765 |
+
"learning_rate": 2.272561584807567e-05,
|
| 2766 |
+
"loss": 5.681,
|
| 2767 |
+
"step": 394
|
| 2768 |
+
},
|
| 2769 |
+
{
|
| 2770 |
+
"epoch": 0.6884531590413944,
|
| 2771 |
+
"grad_norm": 3.974616289138794,
|
| 2772 |
+
"learning_rate": 2.249465945658135e-05,
|
| 2773 |
+
"loss": 5.9997,
|
| 2774 |
+
"step": 395
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 0.6901960784313725,
|
| 2778 |
+
"grad_norm": 3.954075813293457,
|
| 2779 |
+
"learning_rate": 2.2264541542051398e-05,
|
| 2780 |
+
"loss": 5.3938,
|
| 2781 |
+
"step": 396
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 0.6919389978213507,
|
| 2785 |
+
"grad_norm": 4.381604194641113,
|
| 2786 |
+
"learning_rate": 2.2035269119435163e-05,
|
| 2787 |
+
"loss": 5.7926,
|
| 2788 |
+
"step": 397
|
| 2789 |
+
},
|
| 2790 |
+
{
|
| 2791 |
+
"epoch": 0.693681917211329,
|
| 2792 |
+
"grad_norm": 4.715634822845459,
|
| 2793 |
+
"learning_rate": 2.1806849177907846e-05,
|
| 2794 |
+
"loss": 5.9823,
|
| 2795 |
+
"step": 398
|
| 2796 |
+
},
|
| 2797 |
+
{
|
| 2798 |
+
"epoch": 0.6954248366013072,
|
| 2799 |
+
"grad_norm": 4.817767143249512,
|
| 2800 |
+
"learning_rate": 2.157928868065754e-05,
|
| 2801 |
+
"loss": 5.8821,
|
| 2802 |
+
"step": 399
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 0.6971677559912854,
|
| 2806 |
+
"grad_norm": 6.161748886108398,
|
| 2807 |
+
"learning_rate": 2.1352594564672908e-05,
|
| 2808 |
+
"loss": 5.9004,
|
| 2809 |
+
"step": 400
|
| 2810 |
+
},
|
| 2811 |
+
{
|
| 2812 |
+
"epoch": 0.6989106753812636,
|
| 2813 |
+
"grad_norm": 3.119013786315918,
|
| 2814 |
+
"learning_rate": 2.112677374053164e-05,
|
| 2815 |
+
"loss": 6.665,
|
| 2816 |
+
"step": 401
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 0.7006535947712418,
|
| 2820 |
+
"grad_norm": 3.0946598052978516,
|
| 2821 |
+
"learning_rate": 2.0901833092189982e-05,
|
| 2822 |
+
"loss": 6.0594,
|
| 2823 |
+
"step": 402
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"epoch": 0.7023965141612201,
|
| 2827 |
+
"grad_norm": 3.746190071105957,
|
| 2828 |
+
"learning_rate": 2.0677779476772653e-05,
|
| 2829 |
+
"loss": 6.894,
|
| 2830 |
+
"step": 403
|
| 2831 |
+
},
|
| 2832 |
+
{
|
| 2833 |
+
"epoch": 0.7041394335511982,
|
| 2834 |
+
"grad_norm": 3.08188796043396,
|
| 2835 |
+
"learning_rate": 2.0454619724363994e-05,
|
| 2836 |
+
"loss": 6.1855,
|
| 2837 |
+
"step": 404
|
| 2838 |
+
},
|
| 2839 |
+
{
|
| 2840 |
+
"epoch": 0.7058823529411765,
|
| 2841 |
+
"grad_norm": 2.8253674507141113,
|
| 2842 |
+
"learning_rate": 2.0232360637799685e-05,
|
| 2843 |
+
"loss": 6.7474,
|
| 2844 |
+
"step": 405
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 0.7076252723311547,
|
| 2848 |
+
"grad_norm": 2.46675968170166,
|
| 2849 |
+
"learning_rate": 2.0011008992459374e-05,
|
| 2850 |
+
"loss": 5.9278,
|
| 2851 |
+
"step": 406
|
| 2852 |
+
},
|
| 2853 |
+
{
|
| 2854 |
+
"epoch": 0.7093681917211329,
|
| 2855 |
+
"grad_norm": 2.6714541912078857,
|
| 2856 |
+
"learning_rate": 1.979057153606009e-05,
|
| 2857 |
+
"loss": 7.026,
|
| 2858 |
+
"step": 407
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 0.7111111111111111,
|
| 2862 |
+
"grad_norm": 2.6034669876098633,
|
| 2863 |
+
"learning_rate": 1.9571054988450648e-05,
|
| 2864 |
+
"loss": 6.8818,
|
| 2865 |
+
"step": 408
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 0.7128540305010893,
|
| 2869 |
+
"grad_norm": 2.296431541442871,
|
| 2870 |
+
"learning_rate": 1.9352466041406686e-05,
|
| 2871 |
+
"loss": 6.431,
|
| 2872 |
+
"step": 409
|
| 2873 |
+
},
|
| 2874 |
+
{
|
| 2875 |
+
"epoch": 0.7145969498910676,
|
| 2876 |
+
"grad_norm": 2.503453493118286,
|
| 2877 |
+
"learning_rate": 1.9134811358426757e-05,
|
| 2878 |
+
"loss": 6.0567,
|
| 2879 |
+
"step": 410
|
| 2880 |
+
},
|
| 2881 |
+
{
|
| 2882 |
+
"epoch": 0.7163398692810458,
|
| 2883 |
+
"grad_norm": 2.331385374069214,
|
| 2884 |
+
"learning_rate": 1.8918097574529193e-05,
|
| 2885 |
+
"loss": 6.1813,
|
| 2886 |
+
"step": 411
|
| 2887 |
+
},
|
| 2888 |
+
{
|
| 2889 |
+
"epoch": 0.7180827886710239,
|
| 2890 |
+
"grad_norm": 2.208219528198242,
|
| 2891 |
+
"learning_rate": 1.870233129604974e-05,
|
| 2892 |
+
"loss": 5.884,
|
| 2893 |
+
"step": 412
|
| 2894 |
+
},
|
| 2895 |
+
{
|
| 2896 |
+
"epoch": 0.7198257080610022,
|
| 2897 |
+
"grad_norm": 2.3889777660369873,
|
| 2898 |
+
"learning_rate": 1.8487519100440314e-05,
|
| 2899 |
+
"loss": 6.8247,
|
| 2900 |
+
"step": 413
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 0.7215686274509804,
|
| 2904 |
+
"grad_norm": 2.4284768104553223,
|
| 2905 |
+
"learning_rate": 1.827366753606839e-05,
|
| 2906 |
+
"loss": 6.3911,
|
| 2907 |
+
"step": 414
|
| 2908 |
+
},
|
| 2909 |
+
{
|
| 2910 |
+
"epoch": 0.7233115468409586,
|
| 2911 |
+
"grad_norm": 2.250567674636841,
|
| 2912 |
+
"learning_rate": 1.806078312201745e-05,
|
| 2913 |
+
"loss": 6.0543,
|
| 2914 |
+
"step": 415
|
| 2915 |
+
},
|
| 2916 |
+
{
|
| 2917 |
+
"epoch": 0.7250544662309368,
|
| 2918 |
+
"grad_norm": 2.4507486820220947,
|
| 2919 |
+
"learning_rate": 1.7848872347888162e-05,
|
| 2920 |
+
"loss": 5.9986,
|
| 2921 |
+
"step": 416
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 0.726797385620915,
|
| 2925 |
+
"grad_norm": 2.4052789211273193,
|
| 2926 |
+
"learning_rate": 1.7637941673600666e-05,
|
| 2927 |
+
"loss": 6.1408,
|
| 2928 |
+
"step": 417
|
| 2929 |
+
},
|
| 2930 |
+
{
|
| 2931 |
+
"epoch": 0.7285403050108933,
|
| 2932 |
+
"grad_norm": 2.430462598800659,
|
| 2933 |
+
"learning_rate": 1.742799752919753e-05,
|
| 2934 |
+
"loss": 6.0993,
|
| 2935 |
+
"step": 418
|
| 2936 |
+
},
|
| 2937 |
+
{
|
| 2938 |
+
"epoch": 0.7302832244008715,
|
| 2939 |
+
"grad_norm": 2.4374566078186035,
|
| 2940 |
+
"learning_rate": 1.7219046314647876e-05,
|
| 2941 |
+
"loss": 6.2393,
|
| 2942 |
+
"step": 419
|
| 2943 |
+
},
|
| 2944 |
+
{
|
| 2945 |
+
"epoch": 0.7320261437908496,
|
| 2946 |
+
"grad_norm": 2.6431052684783936,
|
| 2947 |
+
"learning_rate": 1.7011094399652107e-05,
|
| 2948 |
+
"loss": 5.9052,
|
| 2949 |
+
"step": 420
|
| 2950 |
+
},
|
| 2951 |
+
{
|
| 2952 |
+
"epoch": 0.7337690631808279,
|
| 2953 |
+
"grad_norm": 2.5823075771331787,
|
| 2954 |
+
"learning_rate": 1.6804148123447898e-05,
|
| 2955 |
+
"loss": 6.1515,
|
| 2956 |
+
"step": 421
|
| 2957 |
+
},
|
| 2958 |
+
{
|
| 2959 |
+
"epoch": 0.7355119825708061,
|
| 2960 |
+
"grad_norm": 2.611707925796509,
|
| 2961 |
+
"learning_rate": 1.6598213794616863e-05,
|
| 2962 |
+
"loss": 5.8446,
|
| 2963 |
+
"step": 422
|
| 2964 |
+
},
|
| 2965 |
+
{
|
| 2966 |
+
"epoch": 0.7372549019607844,
|
| 2967 |
+
"grad_norm": 2.443992853164673,
|
| 2968 |
+
"learning_rate": 1.6393297690892255e-05,
|
| 2969 |
+
"loss": 5.5375,
|
| 2970 |
+
"step": 423
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 0.7389978213507625,
|
| 2974 |
+
"grad_norm": 2.731403350830078,
|
| 2975 |
+
"learning_rate": 1.6189406058967575e-05,
|
| 2976 |
+
"loss": 6.0878,
|
| 2977 |
+
"step": 424
|
| 2978 |
+
},
|
| 2979 |
+
{
|
| 2980 |
+
"epoch": 0.7407407407407407,
|
| 2981 |
+
"grad_norm": 2.706822633743286,
|
| 2982 |
+
"learning_rate": 1.59865451143062e-05,
|
| 2983 |
+
"loss": 5.9887,
|
| 2984 |
+
"step": 425
|
| 2985 |
+
},
|
| 2986 |
+
{
|
| 2987 |
+
"epoch": 0.742483660130719,
|
| 2988 |
+
"grad_norm": 2.604900360107422,
|
| 2989 |
+
"learning_rate": 1.57847210409519e-05,
|
| 2990 |
+
"loss": 5.7022,
|
| 2991 |
+
"step": 426
|
| 2992 |
+
},
|
| 2993 |
+
{
|
| 2994 |
+
"epoch": 0.7442265795206972,
|
| 2995 |
+
"grad_norm": 2.868650197982788,
|
| 2996 |
+
"learning_rate": 1.558393999134023e-05,
|
| 2997 |
+
"loss": 5.8788,
|
| 2998 |
+
"step": 427
|
| 2999 |
+
},
|
| 3000 |
+
{
|
| 3001 |
+
"epoch": 0.7459694989106754,
|
| 3002 |
+
"grad_norm": 2.7633955478668213,
|
| 3003 |
+
"learning_rate": 1.538420808611114e-05,
|
| 3004 |
+
"loss": 5.8095,
|
| 3005 |
+
"step": 428
|
| 3006 |
+
},
|
| 3007 |
+
{
|
| 3008 |
+
"epoch": 0.7477124183006536,
|
| 3009 |
+
"grad_norm": 2.786994695663452,
|
| 3010 |
+
"learning_rate": 1.5185531413922216e-05,
|
| 3011 |
+
"loss": 5.4344,
|
| 3012 |
+
"step": 429
|
| 3013 |
+
},
|
| 3014 |
+
{
|
| 3015 |
+
"epoch": 0.7494553376906318,
|
| 3016 |
+
"grad_norm": 2.9318881034851074,
|
| 3017 |
+
"learning_rate": 1.4987916031263232e-05,
|
| 3018 |
+
"loss": 6.0454,
|
| 3019 |
+
"step": 430
|
| 3020 |
+
},
|
| 3021 |
+
{
|
| 3022 |
+
"epoch": 0.75119825708061,
|
| 3023 |
+
"grad_norm": 3.0639290809631348,
|
| 3024 |
+
"learning_rate": 1.4791367962271424e-05,
|
| 3025 |
+
"loss": 6.0132,
|
| 3026 |
+
"step": 431
|
| 3027 |
+
},
|
| 3028 |
+
{
|
| 3029 |
+
"epoch": 0.7529411764705882,
|
| 3030 |
+
"grad_norm": 3.145095109939575,
|
| 3031 |
+
"learning_rate": 1.4595893198547888e-05,
|
| 3032 |
+
"loss": 6.0023,
|
| 3033 |
+
"step": 432
|
| 3034 |
}
|
| 3035 |
],
|
| 3036 |
"logging_steps": 1,
|
|
|
|
| 3050 |
"attributes": {}
|
| 3051 |
}
|
| 3052 |
},
|
| 3053 |
+
"total_flos": 6.324847464834662e+17,
|
| 3054 |
"train_batch_size": 4,
|
| 3055 |
"trial_name": null,
|
| 3056 |
"trial_params": null
|