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 288, 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:e50b346ef69ca5a2e075a7aaae307b35eecde3df13750dc5e3d00510849e3efc
|
| 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
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:610e32b2829a393b8f6a3423b6ebbe5c72fd4771e0d0c96975e20ddd44852ae7
|
| 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 sha256:90927c6652aef1645509b309fc410bff0f3f2db3c5dab7577f62e614ccbd7372
|
| 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 sha256:4f128263953ca2a09f4f003eb0fed857449ba60827fbc4e98254990c91ece401
|
| 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,
|
|
@@ -1015,6 +1015,1014 @@
|
|
| 1015 |
"learning_rate": 8.598403183687328e-05,
|
| 1016 |
"loss": 5.6006,
|
| 1017 |
"step": 144
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1018 |
}
|
| 1019 |
],
|
| 1020 |
"logging_steps": 1,
|
|
@@ -1034,7 +2042,7 @@
|
|
| 1034 |
"attributes": {}
|
| 1035 |
}
|
| 1036 |
},
|
| 1037 |
-
"total_flos":
|
| 1038 |
"train_batch_size": 4,
|
| 1039 |
"trial_name": null,
|
| 1040 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.5019607843137255,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 288,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 1015 |
"learning_rate": 8.598403183687328e-05,
|
| 1016 |
"loss": 5.6006,
|
| 1017 |
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.25272331154684097,
|
| 1021 |
+
"grad_norm": 3.707019090652466,
|
| 1022 |
+
"learning_rate": 8.579181261046577e-05,
|
| 1023 |
+
"loss": 6.0949,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.2544662309368192,
|
| 1028 |
+
"grad_norm": 3.836596965789795,
|
| 1029 |
+
"learning_rate": 8.559850230102513e-05,
|
| 1030 |
+
"loss": 6.1047,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.25620915032679736,
|
| 1035 |
+
"grad_norm": 3.8301777839660645,
|
| 1036 |
+
"learning_rate": 8.540410680145212e-05,
|
| 1037 |
+
"loss": 5.7873,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.2579520697167756,
|
| 1042 |
+
"grad_norm": 5.243978977203369,
|
| 1043 |
+
"learning_rate": 8.520863203772858e-05,
|
| 1044 |
+
"loss": 6.5256,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.2596949891067538,
|
| 1049 |
+
"grad_norm": 4.620015621185303,
|
| 1050 |
+
"learning_rate": 8.501208396873677e-05,
|
| 1051 |
+
"loss": 6.4997,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.26143790849673204,
|
| 1056 |
+
"grad_norm": 6.88970422744751,
|
| 1057 |
+
"learning_rate": 8.48144685860778e-05,
|
| 1058 |
+
"loss": 7.3246,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.26318082788671027,
|
| 1063 |
+
"grad_norm": 6.274868011474609,
|
| 1064 |
+
"learning_rate": 8.461579191388889e-05,
|
| 1065 |
+
"loss": 7.1103,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.26492374727668844,
|
| 1070 |
+
"grad_norm": 5.459546089172363,
|
| 1071 |
+
"learning_rate": 8.441606000865978e-05,
|
| 1072 |
+
"loss": 6.8542,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.26666666666666666,
|
| 1077 |
+
"grad_norm": 3.5497987270355225,
|
| 1078 |
+
"learning_rate": 8.421527895904811e-05,
|
| 1079 |
+
"loss": 6.9546,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.2684095860566449,
|
| 1084 |
+
"grad_norm": 2.808424472808838,
|
| 1085 |
+
"learning_rate": 8.401345488569379e-05,
|
| 1086 |
+
"loss": 6.7833,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.2701525054466231,
|
| 1091 |
+
"grad_norm": 2.4737677574157715,
|
| 1092 |
+
"learning_rate": 8.381059394103244e-05,
|
| 1093 |
+
"loss": 6.567,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.2718954248366013,
|
| 1098 |
+
"grad_norm": 2.0520262718200684,
|
| 1099 |
+
"learning_rate": 8.360670230910776e-05,
|
| 1100 |
+
"loss": 6.9172,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.2736383442265795,
|
| 1105 |
+
"grad_norm": 2.0433156490325928,
|
| 1106 |
+
"learning_rate": 8.340178620538314e-05,
|
| 1107 |
+
"loss": 6.5108,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.27538126361655774,
|
| 1112 |
+
"grad_norm": 2.2286150455474854,
|
| 1113 |
+
"learning_rate": 8.31958518765521e-05,
|
| 1114 |
+
"loss": 6.8395,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.27712418300653596,
|
| 1119 |
+
"grad_norm": 2.2106385231018066,
|
| 1120 |
+
"learning_rate": 8.298890560034791e-05,
|
| 1121 |
+
"loss": 6.8538,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.2788671023965142,
|
| 1126 |
+
"grad_norm": 2.1926679611206055,
|
| 1127 |
+
"learning_rate": 8.278095368535214e-05,
|
| 1128 |
+
"loss": 7.1738,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.28061002178649236,
|
| 1133 |
+
"grad_norm": 2.366992950439453,
|
| 1134 |
+
"learning_rate": 8.257200247080247e-05,
|
| 1135 |
+
"loss": 6.3704,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.2823529411764706,
|
| 1140 |
+
"grad_norm": 2.4190514087677,
|
| 1141 |
+
"learning_rate": 8.236205832639936e-05,
|
| 1142 |
+
"loss": 6.0434,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.2840958605664488,
|
| 1147 |
+
"grad_norm": 2.115903854370117,
|
| 1148 |
+
"learning_rate": 8.215112765211184e-05,
|
| 1149 |
+
"loss": 6.699,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.28583877995642704,
|
| 1154 |
+
"grad_norm": 2.383059501647949,
|
| 1155 |
+
"learning_rate": 8.193921687798256e-05,
|
| 1156 |
+
"loss": 6.4662,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.2875816993464052,
|
| 1161 |
+
"grad_norm": 2.474604845046997,
|
| 1162 |
+
"learning_rate": 8.17263324639316e-05,
|
| 1163 |
+
"loss": 6.8769,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.28932461873638343,
|
| 1168 |
+
"grad_norm": 2.1580827236175537,
|
| 1169 |
+
"learning_rate": 8.151248089955969e-05,
|
| 1170 |
+
"loss": 6.314,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.29106753812636166,
|
| 1175 |
+
"grad_norm": 2.4981279373168945,
|
| 1176 |
+
"learning_rate": 8.129766870395026e-05,
|
| 1177 |
+
"loss": 6.4012,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.2928104575163399,
|
| 1182 |
+
"grad_norm": 2.1992318630218506,
|
| 1183 |
+
"learning_rate": 8.108190242547082e-05,
|
| 1184 |
+
"loss": 6.161,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.2945533769063181,
|
| 1189 |
+
"grad_norm": 2.2215545177459717,
|
| 1190 |
+
"learning_rate": 8.086518864157325e-05,
|
| 1191 |
+
"loss": 6.3668,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.2962962962962963,
|
| 1196 |
+
"grad_norm": 2.2392923831939697,
|
| 1197 |
+
"learning_rate": 8.064753395859333e-05,
|
| 1198 |
+
"loss": 6.581,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.2980392156862745,
|
| 1203 |
+
"grad_norm": 2.476602554321289,
|
| 1204 |
+
"learning_rate": 8.042894501154937e-05,
|
| 1205 |
+
"loss": 5.9644,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.29978213507625273,
|
| 1210 |
+
"grad_norm": 2.22860050201416,
|
| 1211 |
+
"learning_rate": 8.020942846393992e-05,
|
| 1212 |
+
"loss": 6.3358,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.30152505446623096,
|
| 1217 |
+
"grad_norm": 2.298203229904175,
|
| 1218 |
+
"learning_rate": 7.998899100754064e-05,
|
| 1219 |
+
"loss": 6.0325,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.3032679738562091,
|
| 1224 |
+
"grad_norm": 2.30509352684021,
|
| 1225 |
+
"learning_rate": 7.97676393622003e-05,
|
| 1226 |
+
"loss": 5.9961,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.30501089324618735,
|
| 1231 |
+
"grad_norm": 2.4726057052612305,
|
| 1232 |
+
"learning_rate": 7.954538027563601e-05,
|
| 1233 |
+
"loss": 6.5605,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.3067538126361656,
|
| 1238 |
+
"grad_norm": 2.363779067993164,
|
| 1239 |
+
"learning_rate": 7.932222052322736e-05,
|
| 1240 |
+
"loss": 6.3339,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.3084967320261438,
|
| 1245 |
+
"grad_norm": 2.559394359588623,
|
| 1246 |
+
"learning_rate": 7.909816690781005e-05,
|
| 1247 |
+
"loss": 6.6803,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.31023965141612203,
|
| 1252 |
+
"grad_norm": 2.3963475227355957,
|
| 1253 |
+
"learning_rate": 7.887322625946836e-05,
|
| 1254 |
+
"loss": 5.8182,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.3119825708061002,
|
| 1259 |
+
"grad_norm": 2.6471054553985596,
|
| 1260 |
+
"learning_rate": 7.864740543532711e-05,
|
| 1261 |
+
"loss": 5.7652,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.3137254901960784,
|
| 1266 |
+
"grad_norm": 2.8810901641845703,
|
| 1267 |
+
"learning_rate": 7.842071131934246e-05,
|
| 1268 |
+
"loss": 7.3207,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.31546840958605665,
|
| 1273 |
+
"grad_norm": 2.994452476501465,
|
| 1274 |
+
"learning_rate": 7.819315082209216e-05,
|
| 1275 |
+
"loss": 5.8597,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.3172113289760349,
|
| 1280 |
+
"grad_norm": 3.1921181678771973,
|
| 1281 |
+
"learning_rate": 7.796473088056487e-05,
|
| 1282 |
+
"loss": 6.3196,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.31895424836601305,
|
| 1287 |
+
"grad_norm": 3.0913636684417725,
|
| 1288 |
+
"learning_rate": 7.77354584579486e-05,
|
| 1289 |
+
"loss": 6.1143,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.3206971677559913,
|
| 1294 |
+
"grad_norm": 3.175823211669922,
|
| 1295 |
+
"learning_rate": 7.750534054341866e-05,
|
| 1296 |
+
"loss": 6.0422,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.3224400871459695,
|
| 1301 |
+
"grad_norm": 2.955841302871704,
|
| 1302 |
+
"learning_rate": 7.727438415192433e-05,
|
| 1303 |
+
"loss": 6.644,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.3241830065359477,
|
| 1308 |
+
"grad_norm": 3.8325321674346924,
|
| 1309 |
+
"learning_rate": 7.704259632397526e-05,
|
| 1310 |
+
"loss": 6.6358,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.32592592592592595,
|
| 1315 |
+
"grad_norm": 3.245007038116455,
|
| 1316 |
+
"learning_rate": 7.680998412542663e-05,
|
| 1317 |
+
"loss": 5.8972,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.3276688453159041,
|
| 1322 |
+
"grad_norm": 3.280700445175171,
|
| 1323 |
+
"learning_rate": 7.657655464726394e-05,
|
| 1324 |
+
"loss": 6.0551,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.32941176470588235,
|
| 1329 |
+
"grad_norm": 3.750653028488159,
|
| 1330 |
+
"learning_rate": 7.63423150053867e-05,
|
| 1331 |
+
"loss": 5.9885,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.3311546840958606,
|
| 1336 |
+
"grad_norm": 3.5018813610076904,
|
| 1337 |
+
"learning_rate": 7.610727234039167e-05,
|
| 1338 |
+
"loss": 5.8394,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.3328976034858388,
|
| 1343 |
+
"grad_norm": 3.967571258544922,
|
| 1344 |
+
"learning_rate": 7.587143381735497e-05,
|
| 1345 |
+
"loss": 6.2976,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.33464052287581697,
|
| 1350 |
+
"grad_norm": 3.630221128463745,
|
| 1351 |
+
"learning_rate": 7.563480662561387e-05,
|
| 1352 |
+
"loss": 6.2507,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.3363834422657952,
|
| 1357 |
+
"grad_norm": 3.87675404548645,
|
| 1358 |
+
"learning_rate": 7.539739797854745e-05,
|
| 1359 |
+
"loss": 5.8136,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.3381263616557734,
|
| 1364 |
+
"grad_norm": 4.097906112670898,
|
| 1365 |
+
"learning_rate": 7.515921511335689e-05,
|
| 1366 |
+
"loss": 6.8448,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.33986928104575165,
|
| 1371 |
+
"grad_norm": 4.295271396636963,
|
| 1372 |
+
"learning_rate": 7.492026529084468e-05,
|
| 1373 |
+
"loss": 6.0715,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.3416122004357299,
|
| 1378 |
+
"grad_norm": 3.762012243270874,
|
| 1379 |
+
"learning_rate": 7.468055579519338e-05,
|
| 1380 |
+
"loss": 5.7717,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.34335511982570804,
|
| 1385 |
+
"grad_norm": 5.1401047706604,
|
| 1386 |
+
"learning_rate": 7.444009393374355e-05,
|
| 1387 |
+
"loss": 5.8243,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.34509803921568627,
|
| 1392 |
+
"grad_norm": 5.339993953704834,
|
| 1393 |
+
"learning_rate": 7.419888703677096e-05,
|
| 1394 |
+
"loss": 6.3719,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.3468409586056645,
|
| 1399 |
+
"grad_norm": 5.122740745544434,
|
| 1400 |
+
"learning_rate": 7.395694245726317e-05,
|
| 1401 |
+
"loss": 6.3073,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.3485838779956427,
|
| 1406 |
+
"grad_norm": 6.399250030517578,
|
| 1407 |
+
"learning_rate": 7.371426757069537e-05,
|
| 1408 |
+
"loss": 6.8986,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.3503267973856209,
|
| 1413 |
+
"grad_norm": 4.398697376251221,
|
| 1414 |
+
"learning_rate": 7.347086977480552e-05,
|
| 1415 |
+
"loss": 6.4013,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.3520697167755991,
|
| 1420 |
+
"grad_norm": 3.972055673599243,
|
| 1421 |
+
"learning_rate": 7.322675648936886e-05,
|
| 1422 |
+
"loss": 6.6859,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.35381263616557734,
|
| 1427 |
+
"grad_norm": 3.3945796489715576,
|
| 1428 |
+
"learning_rate": 7.298193515597177e-05,
|
| 1429 |
+
"loss": 6.7833,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.35555555555555557,
|
| 1434 |
+
"grad_norm": 2.5457451343536377,
|
| 1435 |
+
"learning_rate": 7.273641323778481e-05,
|
| 1436 |
+
"loss": 6.6659,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.3572984749455338,
|
| 1441 |
+
"grad_norm": 3.1627116203308105,
|
| 1442 |
+
"learning_rate": 7.249019821933529e-05,
|
| 1443 |
+
"loss": 6.6782,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.35904139433551197,
|
| 1448 |
+
"grad_norm": 2.8032400608062744,
|
| 1449 |
+
"learning_rate": 7.224329760627912e-05,
|
| 1450 |
+
"loss": 6.9691,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.3607843137254902,
|
| 1455 |
+
"grad_norm": 2.2774274349212646,
|
| 1456 |
+
"learning_rate": 7.199571892517193e-05,
|
| 1457 |
+
"loss": 6.7461,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.3625272331154684,
|
| 1462 |
+
"grad_norm": 3.3363685607910156,
|
| 1463 |
+
"learning_rate": 7.174746972323976e-05,
|
| 1464 |
+
"loss": 6.9192,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.36427015250544664,
|
| 1469 |
+
"grad_norm": 2.684283971786499,
|
| 1470 |
+
"learning_rate": 7.14985575681488e-05,
|
| 1471 |
+
"loss": 6.3861,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.3660130718954248,
|
| 1476 |
+
"grad_norm": 2.1813414096832275,
|
| 1477 |
+
"learning_rate": 7.124899004777489e-05,
|
| 1478 |
+
"loss": 6.5334,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.36775599128540304,
|
| 1483 |
+
"grad_norm": 2.80194354057312,
|
| 1484 |
+
"learning_rate": 7.09987747699721e-05,
|
| 1485 |
+
"loss": 6.4025,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.36949891067538126,
|
| 1490 |
+
"grad_norm": 2.7210757732391357,
|
| 1491 |
+
"learning_rate": 7.074791936234082e-05,
|
| 1492 |
+
"loss": 6.2936,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.3712418300653595,
|
| 1497 |
+
"grad_norm": 2.440540075302124,
|
| 1498 |
+
"learning_rate": 7.049643147199526e-05,
|
| 1499 |
+
"loss": 6.2764,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.3729847494553377,
|
| 1504 |
+
"grad_norm": 2.6173183917999268,
|
| 1505 |
+
"learning_rate": 7.024431876533035e-05,
|
| 1506 |
+
"loss": 6.6894,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.3747276688453159,
|
| 1511 |
+
"grad_norm": 3.069770097732544,
|
| 1512 |
+
"learning_rate": 6.9991588927788e-05,
|
| 1513 |
+
"loss": 6.1187,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.3764705882352941,
|
| 1518 |
+
"grad_norm": 2.51611328125,
|
| 1519 |
+
"learning_rate": 6.973824966362281e-05,
|
| 1520 |
+
"loss": 5.9163,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.37821350762527234,
|
| 1525 |
+
"grad_norm": 2.40824031829834,
|
| 1526 |
+
"learning_rate": 6.948430869566728e-05,
|
| 1527 |
+
"loss": 6.1761,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.37995642701525056,
|
| 1532 |
+
"grad_norm": 3.1690869331359863,
|
| 1533 |
+
"learning_rate": 6.922977376509629e-05,
|
| 1534 |
+
"loss": 6.5577,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.38169934640522873,
|
| 1539 |
+
"grad_norm": 2.3701491355895996,
|
| 1540 |
+
"learning_rate": 6.897465263119123e-05,
|
| 1541 |
+
"loss": 5.8704,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.38344226579520696,
|
| 1546 |
+
"grad_norm": 2.478231906890869,
|
| 1547 |
+
"learning_rate": 6.871895307110332e-05,
|
| 1548 |
+
"loss": 6.7826,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.3851851851851852,
|
| 1553 |
+
"grad_norm": 3.0986053943634033,
|
| 1554 |
+
"learning_rate": 6.846268287961667e-05,
|
| 1555 |
+
"loss": 6.2127,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.3869281045751634,
|
| 1560 |
+
"grad_norm": 2.3514440059661865,
|
| 1561 |
+
"learning_rate": 6.820584986891057e-05,
|
| 1562 |
+
"loss": 6.5619,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.38867102396514164,
|
| 1567 |
+
"grad_norm": 2.8054189682006836,
|
| 1568 |
+
"learning_rate": 6.794846186832143e-05,
|
| 1569 |
+
"loss": 6.6309,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.3904139433551198,
|
| 1574 |
+
"grad_norm": 3.1144003868103027,
|
| 1575 |
+
"learning_rate": 6.769052672410399e-05,
|
| 1576 |
+
"loss": 7.0096,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.39215686274509803,
|
| 1581 |
+
"grad_norm": 2.5350921154022217,
|
| 1582 |
+
"learning_rate": 6.743205229919224e-05,
|
| 1583 |
+
"loss": 6.3376,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.39389978213507626,
|
| 1588 |
+
"grad_norm": 2.513195514678955,
|
| 1589 |
+
"learning_rate": 6.717304647295964e-05,
|
| 1590 |
+
"loss": 5.909,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.3956427015250545,
|
| 1595 |
+
"grad_norm": 2.6811728477478027,
|
| 1596 |
+
"learning_rate": 6.691351714097905e-05,
|
| 1597 |
+
"loss": 5.9878,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.39738562091503266,
|
| 1602 |
+
"grad_norm": 2.875075578689575,
|
| 1603 |
+
"learning_rate": 6.665347221478187e-05,
|
| 1604 |
+
"loss": 5.9853,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.3991285403050109,
|
| 1609 |
+
"grad_norm": 2.8941619396209717,
|
| 1610 |
+
"learning_rate": 6.639291962161703e-05,
|
| 1611 |
+
"loss": 5.8869,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.4008714596949891,
|
| 1616 |
+
"grad_norm": 3.371659755706787,
|
| 1617 |
+
"learning_rate": 6.613186730420917e-05,
|
| 1618 |
+
"loss": 6.2877,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.40261437908496733,
|
| 1623 |
+
"grad_norm": 3.0048294067382812,
|
| 1624 |
+
"learning_rate": 6.587032322051667e-05,
|
| 1625 |
+
"loss": 6.4558,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.40435729847494556,
|
| 1630 |
+
"grad_norm": 2.8262717723846436,
|
| 1631 |
+
"learning_rate": 6.560829534348898e-05,
|
| 1632 |
+
"loss": 6.1141,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.40610021786492373,
|
| 1637 |
+
"grad_norm": 3.4589362144470215,
|
| 1638 |
+
"learning_rate": 6.534579166082354e-05,
|
| 1639 |
+
"loss": 6.1131,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.40784313725490196,
|
| 1644 |
+
"grad_norm": 3.2716927528381348,
|
| 1645 |
+
"learning_rate": 6.508282017472235e-05,
|
| 1646 |
+
"loss": 6.1385,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.4095860566448802,
|
| 1651 |
+
"grad_norm": 3.2407166957855225,
|
| 1652 |
+
"learning_rate": 6.4819388901648e-05,
|
| 1653 |
+
"loss": 6.3144,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.4113289760348584,
|
| 1658 |
+
"grad_norm": 3.4590988159179688,
|
| 1659 |
+
"learning_rate": 6.45555058720793e-05,
|
| 1660 |
+
"loss": 5.766,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.4130718954248366,
|
| 1665 |
+
"grad_norm": 3.572154998779297,
|
| 1666 |
+
"learning_rate": 6.429117913026647e-05,
|
| 1667 |
+
"loss": 5.8502,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.4148148148148148,
|
| 1672 |
+
"grad_norm": 3.4333770275115967,
|
| 1673 |
+
"learning_rate": 6.402641673398589e-05,
|
| 1674 |
+
"loss": 6.0432,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.41655773420479303,
|
| 1679 |
+
"grad_norm": 3.314162015914917,
|
| 1680 |
+
"learning_rate": 6.376122675429453e-05,
|
| 1681 |
+
"loss": 6.2134,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.41830065359477125,
|
| 1686 |
+
"grad_norm": 4.336117267608643,
|
| 1687 |
+
"learning_rate": 6.349561727528388e-05,
|
| 1688 |
+
"loss": 6.2444,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.4200435729847495,
|
| 1693 |
+
"grad_norm": 3.457911252975464,
|
| 1694 |
+
"learning_rate": 6.32295963938335e-05,
|
| 1695 |
+
"loss": 6.2374,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.42178649237472765,
|
| 1700 |
+
"grad_norm": 3.6834158897399902,
|
| 1701 |
+
"learning_rate": 6.29631722193642e-05,
|
| 1702 |
+
"loss": 6.1026,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.4235294117647059,
|
| 1707 |
+
"grad_norm": 3.538865804672241,
|
| 1708 |
+
"learning_rate": 6.269635287359086e-05,
|
| 1709 |
+
"loss": 5.9146,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.4252723311546841,
|
| 1714 |
+
"grad_norm": 4.001156330108643,
|
| 1715 |
+
"learning_rate": 6.242914649027475e-05,
|
| 1716 |
+
"loss": 6.1225,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.42701525054466233,
|
| 1721 |
+
"grad_norm": 4.03039026260376,
|
| 1722 |
+
"learning_rate": 6.216156121497578e-05,
|
| 1723 |
+
"loss": 6.2632,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.4287581699346405,
|
| 1728 |
+
"grad_norm": 4.1209492683410645,
|
| 1729 |
+
"learning_rate": 6.189360520480394e-05,
|
| 1730 |
+
"loss": 5.8152,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.4305010893246187,
|
| 1735 |
+
"grad_norm": 4.377655029296875,
|
| 1736 |
+
"learning_rate": 6.16252866281708e-05,
|
| 1737 |
+
"loss": 6.1381,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.43224400871459695,
|
| 1742 |
+
"grad_norm": 4.61279296875,
|
| 1743 |
+
"learning_rate": 6.135661366454045e-05,
|
| 1744 |
+
"loss": 6.0152,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.4339869281045752,
|
| 1749 |
+
"grad_norm": 5.421746730804443,
|
| 1750 |
+
"learning_rate": 6.108759450418023e-05,
|
| 1751 |
+
"loss": 6.2479,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.4357298474945534,
|
| 1756 |
+
"grad_norm": 7.20197057723999,
|
| 1757 |
+
"learning_rate": 6.0818237347910903e-05,
|
| 1758 |
+
"loss": 6.5961,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.43747276688453157,
|
| 1763 |
+
"grad_norm": 5.171140670776367,
|
| 1764 |
+
"learning_rate": 6.0548550406856794e-05,
|
| 1765 |
+
"loss": 7.0138,
|
| 1766 |
+
"step": 251
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.4392156862745098,
|
| 1770 |
+
"grad_norm": 4.531250953674316,
|
| 1771 |
+
"learning_rate": 6.027854190219544e-05,
|
| 1772 |
+
"loss": 6.5635,
|
| 1773 |
+
"step": 252
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.440958605664488,
|
| 1777 |
+
"grad_norm": 3.7614336013793945,
|
| 1778 |
+
"learning_rate": 6.000822006490696e-05,
|
| 1779 |
+
"loss": 6.329,
|
| 1780 |
+
"step": 253
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.44270152505446625,
|
| 1784 |
+
"grad_norm": 3.231339454650879,
|
| 1785 |
+
"learning_rate": 5.973759313552319e-05,
|
| 1786 |
+
"loss": 6.7505,
|
| 1787 |
+
"step": 254
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.4444444444444444,
|
| 1791 |
+
"grad_norm": 2.786665439605713,
|
| 1792 |
+
"learning_rate": 5.946666936387637e-05,
|
| 1793 |
+
"loss": 6.2866,
|
| 1794 |
+
"step": 255
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.44618736383442265,
|
| 1798 |
+
"grad_norm": 2.5898685455322266,
|
| 1799 |
+
"learning_rate": 5.919545700884779e-05,
|
| 1800 |
+
"loss": 6.6849,
|
| 1801 |
+
"step": 256
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.44793028322440087,
|
| 1805 |
+
"grad_norm": 2.729102611541748,
|
| 1806 |
+
"learning_rate": 5.892396433811589e-05,
|
| 1807 |
+
"loss": 6.3323,
|
| 1808 |
+
"step": 257
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.4496732026143791,
|
| 1812 |
+
"grad_norm": 2.543272018432617,
|
| 1813 |
+
"learning_rate": 5.865219962790438e-05,
|
| 1814 |
+
"loss": 6.2904,
|
| 1815 |
+
"step": 258
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.4514161220043573,
|
| 1819 |
+
"grad_norm": 2.2522315979003906,
|
| 1820 |
+
"learning_rate": 5.8380171162729816e-05,
|
| 1821 |
+
"loss": 6.2798,
|
| 1822 |
+
"step": 259
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.4531590413943355,
|
| 1826 |
+
"grad_norm": 2.0354785919189453,
|
| 1827 |
+
"learning_rate": 5.810788723514908e-05,
|
| 1828 |
+
"loss": 6.1266,
|
| 1829 |
+
"step": 260
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.4549019607843137,
|
| 1833 |
+
"grad_norm": 2.273022174835205,
|
| 1834 |
+
"learning_rate": 5.783535614550666e-05,
|
| 1835 |
+
"loss": 5.9385,
|
| 1836 |
+
"step": 261
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.45664488017429194,
|
| 1840 |
+
"grad_norm": 2.32905912399292,
|
| 1841 |
+
"learning_rate": 5.756258620168151e-05,
|
| 1842 |
+
"loss": 6.2075,
|
| 1843 |
+
"step": 262
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.45838779956427017,
|
| 1847 |
+
"grad_norm": 2.5185182094573975,
|
| 1848 |
+
"learning_rate": 5.728958571883393e-05,
|
| 1849 |
+
"loss": 5.9996,
|
| 1850 |
+
"step": 263
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.46013071895424834,
|
| 1854 |
+
"grad_norm": 2.404029607772827,
|
| 1855 |
+
"learning_rate": 5.701636301915192e-05,
|
| 1856 |
+
"loss": 6.15,
|
| 1857 |
+
"step": 264
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.46187363834422657,
|
| 1861 |
+
"grad_norm": 2.2743897438049316,
|
| 1862 |
+
"learning_rate": 5.674292643159764e-05,
|
| 1863 |
+
"loss": 6.0419,
|
| 1864 |
+
"step": 265
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.4636165577342048,
|
| 1868 |
+
"grad_norm": 2.312305212020874,
|
| 1869 |
+
"learning_rate": 5.646928429165339e-05,
|
| 1870 |
+
"loss": 6.1961,
|
| 1871 |
+
"step": 266
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.465359477124183,
|
| 1875 |
+
"grad_norm": 2.669830799102783,
|
| 1876 |
+
"learning_rate": 5.619544494106761e-05,
|
| 1877 |
+
"loss": 6.3909,
|
| 1878 |
+
"step": 267
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.46710239651416124,
|
| 1882 |
+
"grad_norm": 2.455864906311035,
|
| 1883 |
+
"learning_rate": 5.5921416727600495e-05,
|
| 1884 |
+
"loss": 6.2111,
|
| 1885 |
+
"step": 268
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.4688453159041394,
|
| 1889 |
+
"grad_norm": 2.6559865474700928,
|
| 1890 |
+
"learning_rate": 5.564720800476958e-05,
|
| 1891 |
+
"loss": 6.1185,
|
| 1892 |
+
"step": 269
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.47058823529411764,
|
| 1896 |
+
"grad_norm": 2.4289166927337646,
|
| 1897 |
+
"learning_rate": 5.537282713159507e-05,
|
| 1898 |
+
"loss": 6.2087,
|
| 1899 |
+
"step": 270
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.47233115468409587,
|
| 1903 |
+
"grad_norm": 2.268165111541748,
|
| 1904 |
+
"learning_rate": 5.5098282472345055e-05,
|
| 1905 |
+
"loss": 6.2041,
|
| 1906 |
+
"step": 271
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.4740740740740741,
|
| 1910 |
+
"grad_norm": 2.432791233062744,
|
| 1911 |
+
"learning_rate": 5.4823582396280474e-05,
|
| 1912 |
+
"loss": 6.2584,
|
| 1913 |
+
"step": 272
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.47581699346405226,
|
| 1917 |
+
"grad_norm": 2.6854281425476074,
|
| 1918 |
+
"learning_rate": 5.454873527740002e-05,
|
| 1919 |
+
"loss": 6.1592,
|
| 1920 |
+
"step": 273
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.4775599128540305,
|
| 1924 |
+
"grad_norm": 2.6091413497924805,
|
| 1925 |
+
"learning_rate": 5.427374949418487e-05,
|
| 1926 |
+
"loss": 6.0412,
|
| 1927 |
+
"step": 274
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.4793028322440087,
|
| 1931 |
+
"grad_norm": 2.762869358062744,
|
| 1932 |
+
"learning_rate": 5.399863342934324e-05,
|
| 1933 |
+
"loss": 6.0565,
|
| 1934 |
+
"step": 275
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.48104575163398694,
|
| 1938 |
+
"grad_norm": 2.6985061168670654,
|
| 1939 |
+
"learning_rate": 5.3723395469554924e-05,
|
| 1940 |
+
"loss": 6.1255,
|
| 1941 |
+
"step": 276
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.48278867102396517,
|
| 1945 |
+
"grad_norm": 2.6521167755126953,
|
| 1946 |
+
"learning_rate": 5.3448044005215535e-05,
|
| 1947 |
+
"loss": 6.0975,
|
| 1948 |
+
"step": 277
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.48453159041394334,
|
| 1952 |
+
"grad_norm": 2.56356143951416,
|
| 1953 |
+
"learning_rate": 5.31725874301808e-05,
|
| 1954 |
+
"loss": 6.0613,
|
| 1955 |
+
"step": 278
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.48627450980392156,
|
| 1959 |
+
"grad_norm": 2.728928327560425,
|
| 1960 |
+
"learning_rate": 5.2897034141510615e-05,
|
| 1961 |
+
"loss": 6.625,
|
| 1962 |
+
"step": 279
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.4880174291938998,
|
| 1966 |
+
"grad_norm": 2.8099310398101807,
|
| 1967 |
+
"learning_rate": 5.262139253921319e-05,
|
| 1968 |
+
"loss": 5.9113,
|
| 1969 |
+
"step": 280
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.489760348583878,
|
| 1973 |
+
"grad_norm": 2.8508801460266113,
|
| 1974 |
+
"learning_rate": 5.234567102598881e-05,
|
| 1975 |
+
"loss": 5.8157,
|
| 1976 |
+
"step": 281
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.4915032679738562,
|
| 1980 |
+
"grad_norm": 2.946413278579712,
|
| 1981 |
+
"learning_rate": 5.2069878006973826e-05,
|
| 1982 |
+
"loss": 5.9064,
|
| 1983 |
+
"step": 282
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.4932461873638344,
|
| 1987 |
+
"grad_norm": 2.9329915046691895,
|
| 1988 |
+
"learning_rate": 5.179402188948438e-05,
|
| 1989 |
+
"loss": 5.9691,
|
| 1990 |
+
"step": 283
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.49498910675381264,
|
| 1994 |
+
"grad_norm": 3.000000238418579,
|
| 1995 |
+
"learning_rate": 5.1518111082760114e-05,
|
| 1996 |
+
"loss": 6.1124,
|
| 1997 |
+
"step": 284
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.49673202614379086,
|
| 2001 |
+
"grad_norm": 3.524191379547119,
|
| 2002 |
+
"learning_rate": 5.1242153997707823e-05,
|
| 2003 |
+
"loss": 6.0462,
|
| 2004 |
+
"step": 285
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.4984749455337691,
|
| 2008 |
+
"grad_norm": 3.2491354942321777,
|
| 2009 |
+
"learning_rate": 5.096615904664505e-05,
|
| 2010 |
+
"loss": 5.7229,
|
| 2011 |
+
"step": 286
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.5002178649237473,
|
| 2015 |
+
"grad_norm": 3.2840254306793213,
|
| 2016 |
+
"learning_rate": 5.069013464304365e-05,
|
| 2017 |
+
"loss": 6.0919,
|
| 2018 |
+
"step": 287
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.5019607843137255,
|
| 2022 |
+
"grad_norm": 3.148927688598633,
|
| 2023 |
+
"learning_rate": 5.041408920127333e-05,
|
| 2024 |
+
"loss": 5.8254,
|
| 2025 |
+
"step": 288
|
| 2026 |
}
|
| 2027 |
],
|
| 2028 |
"logging_steps": 1,
|
|
|
|
| 2042 |
"attributes": {}
|
| 2043 |
}
|
| 2044 |
},
|
| 2045 |
+
"total_flos": 4.2165649765564416e+17,
|
| 2046 |
"train_batch_size": 4,
|
| 2047 |
"trial_name": null,
|
| 2048 |
"trial_params": null
|