Commit
•
b40c778
1
Parent(s):
7473aa0
End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +990 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: gemma
|
|
| 4 |
base_model: google/gemma-2-9b
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: hp_ablations_gemma_scheduler_cosine_warmup0.10_minlr1e-7
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# hp_ablations_gemma_scheduler_cosine_warmup0.10_minlr1e-7
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.5901
|
| 21 |
|
|
|
|
| 4 |
base_model: google/gemma-2-9b
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: hp_ablations_gemma_scheduler_cosine_warmup0.10_minlr1e-7
|
|
|
|
| 16 |
|
| 17 |
# hp_ablations_gemma_scheduler_cosine_warmup0.10_minlr1e-7
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.5901
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9991537376586743,
|
| 3 |
+
"eval_loss": 0.5900959968566895,
|
| 4 |
+
"eval_runtime": 689.1896,
|
| 5 |
+
"eval_samples_per_second": 17.326,
|
| 6 |
+
"eval_steps_per_second": 0.543,
|
| 7 |
+
"total_flos": 5064195066298368.0,
|
| 8 |
+
"train_loss": 0.55943138999451,
|
| 9 |
+
"train_runtime": 121397.9839,
|
| 10 |
+
"train_samples_per_second": 5.606,
|
| 11 |
+
"train_steps_per_second": 0.011
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9991537376586743,
|
| 3 |
+
"eval_loss": 0.5900959968566895,
|
| 4 |
+
"eval_runtime": 689.1896,
|
| 5 |
+
"eval_samples_per_second": 17.326,
|
| 6 |
+
"eval_steps_per_second": 0.543
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9991537376586743,
|
| 3 |
+
"total_flos": 5064195066298368.0,
|
| 4 |
+
"train_loss": 0.55943138999451,
|
| 5 |
+
"train_runtime": 121397.9839,
|
| 6 |
+
"train_samples_per_second": 5.606,
|
| 7 |
+
"train_steps_per_second": 0.011
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,990 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.9991537376586743,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1329,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.022566995768688293,
|
| 13 |
+
"grad_norm": 3.9500676023225703,
|
| 14 |
+
"learning_rate": 3.7593984962406015e-07,
|
| 15 |
+
"loss": 0.8582,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.045133991537376586,
|
| 20 |
+
"grad_norm": 1.395677808116374,
|
| 21 |
+
"learning_rate": 7.518796992481203e-07,
|
| 22 |
+
"loss": 0.8024,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.06770098730606489,
|
| 27 |
+
"grad_norm": 0.9062193282306004,
|
| 28 |
+
"learning_rate": 1.1278195488721805e-06,
|
| 29 |
+
"loss": 0.7357,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.09026798307475317,
|
| 34 |
+
"grad_norm": 0.8282785482347225,
|
| 35 |
+
"learning_rate": 1.5037593984962406e-06,
|
| 36 |
+
"loss": 0.6898,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.11283497884344147,
|
| 41 |
+
"grad_norm": 0.701981062657255,
|
| 42 |
+
"learning_rate": 1.8796992481203007e-06,
|
| 43 |
+
"loss": 0.6707,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.13540197461212977,
|
| 48 |
+
"grad_norm": 0.640628105313228,
|
| 49 |
+
"learning_rate": 2.255639097744361e-06,
|
| 50 |
+
"loss": 0.6616,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.15796897038081806,
|
| 55 |
+
"grad_norm": 0.6794950494897954,
|
| 56 |
+
"learning_rate": 2.631578947368421e-06,
|
| 57 |
+
"loss": 0.6518,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.18053596614950634,
|
| 62 |
+
"grad_norm": 0.7767981323221586,
|
| 63 |
+
"learning_rate": 3.007518796992481e-06,
|
| 64 |
+
"loss": 0.6496,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.20310296191819463,
|
| 69 |
+
"grad_norm": 0.7882061395786479,
|
| 70 |
+
"learning_rate": 3.3834586466165413e-06,
|
| 71 |
+
"loss": 0.6451,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.22566995768688294,
|
| 76 |
+
"grad_norm": 0.9439189657933283,
|
| 77 |
+
"learning_rate": 3.7593984962406014e-06,
|
| 78 |
+
"loss": 0.6417,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.24823695345557123,
|
| 83 |
+
"grad_norm": 0.7346506648254489,
|
| 84 |
+
"learning_rate": 4.135338345864662e-06,
|
| 85 |
+
"loss": 0.6314,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.27080394922425954,
|
| 90 |
+
"grad_norm": 0.6595327999279074,
|
| 91 |
+
"learning_rate": 4.511278195488722e-06,
|
| 92 |
+
"loss": 0.6293,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.2933709449929478,
|
| 97 |
+
"grad_norm": 0.8336967878084969,
|
| 98 |
+
"learning_rate": 4.887218045112782e-06,
|
| 99 |
+
"loss": 0.6301,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.3159379407616361,
|
| 104 |
+
"grad_norm": 1.0189555343494847,
|
| 105 |
+
"learning_rate": 4.9995858503307465e-06,
|
| 106 |
+
"loss": 0.6244,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.3385049365303244,
|
| 111 |
+
"grad_norm": 0.7728001819911596,
|
| 112 |
+
"learning_rate": 4.997557699213042e-06,
|
| 113 |
+
"loss": 0.6247,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.3610719322990127,
|
| 118 |
+
"grad_norm": 0.9777925962610354,
|
| 119 |
+
"learning_rate": 4.993840875896834e-06,
|
| 120 |
+
"loss": 0.6272,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.383638928067701,
|
| 125 |
+
"grad_norm": 0.7322084042258205,
|
| 126 |
+
"learning_rate": 4.988437944773639e-06,
|
| 127 |
+
"loss": 0.6206,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.40620592383638926,
|
| 132 |
+
"grad_norm": 0.5923379291119025,
|
| 133 |
+
"learning_rate": 4.981352633551117e-06,
|
| 134 |
+
"loss": 0.6168,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.4287729196050776,
|
| 139 |
+
"grad_norm": 0.5930368670137429,
|
| 140 |
+
"learning_rate": 4.972589830681161e-06,
|
| 141 |
+
"loss": 0.611,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.4513399153737659,
|
| 146 |
+
"grad_norm": 0.6233035871272617,
|
| 147 |
+
"learning_rate": 4.962155581987166e-06,
|
| 148 |
+
"loss": 0.6169,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.47390691114245415,
|
| 153 |
+
"grad_norm": 0.9181448240990033,
|
| 154 |
+
"learning_rate": 4.9500570864927485e-06,
|
| 155 |
+
"loss": 0.6131,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.49647390691114246,
|
| 160 |
+
"grad_norm": 0.6136110334327369,
|
| 161 |
+
"learning_rate": 4.936302691454844e-06,
|
| 162 |
+
"loss": 0.6046,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.5190409026798307,
|
| 167 |
+
"grad_norm": 0.6511071668467217,
|
| 168 |
+
"learning_rate": 4.920901886604593e-06,
|
| 169 |
+
"loss": 0.6133,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.5416078984485191,
|
| 174 |
+
"grad_norm": 0.7958047199444372,
|
| 175 |
+
"learning_rate": 4.9038652975999665e-06,
|
| 176 |
+
"loss": 0.6118,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.5641748942172073,
|
| 181 |
+
"grad_norm": 0.6134271249647514,
|
| 182 |
+
"learning_rate": 4.8852046786946946e-06,
|
| 183 |
+
"loss": 0.6057,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.5867418899858956,
|
| 188 |
+
"grad_norm": 0.7236439355039117,
|
| 189 |
+
"learning_rate": 4.864932904628507e-06,
|
| 190 |
+
"loss": 0.608,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.609308885754584,
|
| 195 |
+
"grad_norm": 0.6533513563016325,
|
| 196 |
+
"learning_rate": 4.843063961744315e-06,
|
| 197 |
+
"loss": 0.6031,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.6318758815232722,
|
| 202 |
+
"grad_norm": 0.6682862848806669,
|
| 203 |
+
"learning_rate": 4.819612938338455e-06,
|
| 204 |
+
"loss": 0.6096,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.6544428772919605,
|
| 209 |
+
"grad_norm": 0.6266507108859902,
|
| 210 |
+
"learning_rate": 4.794596014250633e-06,
|
| 211 |
+
"loss": 0.6027,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.6770098730606487,
|
| 216 |
+
"grad_norm": 0.6518141655545894,
|
| 217 |
+
"learning_rate": 4.768030449700788e-06,
|
| 218 |
+
"loss": 0.6086,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.6995768688293371,
|
| 223 |
+
"grad_norm": 0.5630169599812361,
|
| 224 |
+
"learning_rate": 4.7399345733805415e-06,
|
| 225 |
+
"loss": 0.6015,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.7221438645980254,
|
| 230 |
+
"grad_norm": 0.5368338699635572,
|
| 231 |
+
"learning_rate": 4.710327769807469e-06,
|
| 232 |
+
"loss": 0.6046,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.7447108603667136,
|
| 237 |
+
"grad_norm": 0.5663633274514737,
|
| 238 |
+
"learning_rate": 4.679230465950908e-06,
|
| 239 |
+
"loss": 0.6,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.767277856135402,
|
| 244 |
+
"grad_norm": 0.6293933108526993,
|
| 245 |
+
"learning_rate": 4.646664117138547e-06,
|
| 246 |
+
"loss": 0.5993,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.7898448519040903,
|
| 251 |
+
"grad_norm": 0.5856354618989478,
|
| 252 |
+
"learning_rate": 4.612651192253495e-06,
|
| 253 |
+
"loss": 0.6004,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.8124118476727785,
|
| 258 |
+
"grad_norm": 0.5921119713926103,
|
| 259 |
+
"learning_rate": 4.577215158232064e-06,
|
| 260 |
+
"loss": 0.5993,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.8349788434414669,
|
| 265 |
+
"grad_norm": 0.6330447864809035,
|
| 266 |
+
"learning_rate": 4.540380463872945e-06,
|
| 267 |
+
"loss": 0.6063,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.8575458392101551,
|
| 272 |
+
"grad_norm": 0.5905756830961565,
|
| 273 |
+
"learning_rate": 4.502172522968966e-06,
|
| 274 |
+
"loss": 0.6027,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.8801128349788434,
|
| 279 |
+
"grad_norm": 0.6831894646683164,
|
| 280 |
+
"learning_rate": 4.462617696773059e-06,
|
| 281 |
+
"loss": 0.5966,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.9026798307475318,
|
| 286 |
+
"grad_norm": 0.7462417386371082,
|
| 287 |
+
"learning_rate": 4.4217432758105215e-06,
|
| 288 |
+
"loss": 0.5988,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.92524682651622,
|
| 293 |
+
"grad_norm": 0.6005218513233451,
|
| 294 |
+
"learning_rate": 4.379577461050153e-06,
|
| 295 |
+
"loss": 0.5967,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.9478138222849083,
|
| 300 |
+
"grad_norm": 0.6506758426507315,
|
| 301 |
+
"learning_rate": 4.336149344447227e-06,
|
| 302 |
+
"loss": 0.5972,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.9703808180535967,
|
| 307 |
+
"grad_norm": 0.5379000787907976,
|
| 308 |
+
"learning_rate": 4.291488888871734e-06,
|
| 309 |
+
"loss": 0.591,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.9929478138222849,
|
| 314 |
+
"grad_norm": 0.5676292405964318,
|
| 315 |
+
"learning_rate": 4.245626907435755e-06,
|
| 316 |
+
"loss": 0.5957,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.9997179125528914,
|
| 321 |
+
"eval_loss": 0.5937371253967285,
|
| 322 |
+
"eval_runtime": 688.298,
|
| 323 |
+
"eval_samples_per_second": 17.349,
|
| 324 |
+
"eval_steps_per_second": 0.543,
|
| 325 |
+
"step": 443
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.0155148095909732,
|
| 329 |
+
"grad_norm": 0.6510043441238305,
|
| 330 |
+
"learning_rate": 4.198595042234199e-06,
|
| 331 |
+
"loss": 0.6093,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.0380818053596614,
|
| 336 |
+
"grad_norm": 0.6399485357865101,
|
| 337 |
+
"learning_rate": 4.150425742513609e-06,
|
| 338 |
+
"loss": 0.5388,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.0606488011283497,
|
| 343 |
+
"grad_norm": 0.6202997517009662,
|
| 344 |
+
"learning_rate": 4.101152242284071e-06,
|
| 345 |
+
"loss": 0.5538,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.0832157968970382,
|
| 350 |
+
"grad_norm": 0.596478907194731,
|
| 351 |
+
"learning_rate": 4.050808537389682e-06,
|
| 352 |
+
"loss": 0.5413,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.1057827926657264,
|
| 357 |
+
"grad_norm": 0.6688106585925544,
|
| 358 |
+
"learning_rate": 3.999429362053397e-06,
|
| 359 |
+
"loss": 0.5516,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.1283497884344147,
|
| 364 |
+
"grad_norm": 0.5514385320720825,
|
| 365 |
+
"learning_rate": 3.947050164912446e-06,
|
| 366 |
+
"loss": 0.5497,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.150916784203103,
|
| 371 |
+
"grad_norm": 0.5764779109375965,
|
| 372 |
+
"learning_rate": 3.893707084560831e-06,
|
| 373 |
+
"loss": 0.5506,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.1734837799717912,
|
| 378 |
+
"grad_norm": 0.5687644731921871,
|
| 379 |
+
"learning_rate": 3.839436924615808e-06,
|
| 380 |
+
"loss": 0.5428,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.1960507757404795,
|
| 385 |
+
"grad_norm": 0.6716035430024566,
|
| 386 |
+
"learning_rate": 3.784277128325532e-06,
|
| 387 |
+
"loss": 0.5485,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.2186177715091677,
|
| 392 |
+
"grad_norm": 0.7510569732848463,
|
| 393 |
+
"learning_rate": 3.7282657527354014e-06,
|
| 394 |
+
"loss": 0.5458,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.2411847672778562,
|
| 399 |
+
"grad_norm": 0.7205124677149223,
|
| 400 |
+
"learning_rate": 3.671441442430908e-06,
|
| 401 |
+
"loss": 0.5507,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.2637517630465445,
|
| 406 |
+
"grad_norm": 0.5847094902297382,
|
| 407 |
+
"learning_rate": 3.6138434028751334e-06,
|
| 408 |
+
"loss": 0.5521,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.2863187588152327,
|
| 413 |
+
"grad_norm": 0.569651078418994,
|
| 414 |
+
"learning_rate": 3.555511373359255e-06,
|
| 415 |
+
"loss": 0.549,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.308885754583921,
|
| 420 |
+
"grad_norm": 0.6219046665446807,
|
| 421 |
+
"learning_rate": 3.496485599584756e-06,
|
| 422 |
+
"loss": 0.5489,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.3314527503526092,
|
| 427 |
+
"grad_norm": 0.5714415325332034,
|
| 428 |
+
"learning_rate": 3.4368068058962357e-06,
|
| 429 |
+
"loss": 0.5487,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.3540197461212977,
|
| 434 |
+
"grad_norm": 1.1106035467973956,
|
| 435 |
+
"learning_rate": 3.376516167183983e-06,
|
| 436 |
+
"loss": 0.5542,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.376586741889986,
|
| 441 |
+
"grad_norm": 0.5885941973302055,
|
| 442 |
+
"learning_rate": 3.315655280475704e-06,
|
| 443 |
+
"loss": 0.5459,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.3991537376586742,
|
| 448 |
+
"grad_norm": 0.5908363560064332,
|
| 449 |
+
"learning_rate": 3.2542661362369925e-06,
|
| 450 |
+
"loss": 0.5502,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.4217207334273625,
|
| 455 |
+
"grad_norm": 0.5591849121824698,
|
| 456 |
+
"learning_rate": 3.1923910894003598e-06,
|
| 457 |
+
"loss": 0.5479,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.4442877291960508,
|
| 462 |
+
"grad_norm": 0.5602591930048809,
|
| 463 |
+
"learning_rate": 3.1300728301427947e-06,
|
| 464 |
+
"loss": 0.5471,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.466854724964739,
|
| 469 |
+
"grad_norm": 0.5931164000131571,
|
| 470 |
+
"learning_rate": 3.0673543544320354e-06,
|
| 471 |
+
"loss": 0.5479,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.4894217207334273,
|
| 476 |
+
"grad_norm": 0.6020148726486988,
|
| 477 |
+
"learning_rate": 3.00427893436185e-06,
|
| 478 |
+
"loss": 0.5515,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.5119887165021155,
|
| 483 |
+
"grad_norm": 0.5726305762841026,
|
| 484 |
+
"learning_rate": 2.9408900882968174e-06,
|
| 485 |
+
"loss": 0.5459,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.5345557122708038,
|
| 490 |
+
"grad_norm": 0.5629379890905293,
|
| 491 |
+
"learning_rate": 2.8772315508471893e-06,
|
| 492 |
+
"loss": 0.5402,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.5571227080394923,
|
| 497 |
+
"grad_norm": 0.5704880969842114,
|
| 498 |
+
"learning_rate": 2.8133472426945584e-06,
|
| 499 |
+
"loss": 0.5417,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.5796897038081805,
|
| 504 |
+
"grad_norm": 0.5710723412296994,
|
| 505 |
+
"learning_rate": 2.749281240289151e-06,
|
| 506 |
+
"loss": 0.546,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.6022566995768688,
|
| 511 |
+
"grad_norm": 0.5392466716099986,
|
| 512 |
+
"learning_rate": 2.6850777454396342e-06,
|
| 513 |
+
"loss": 0.5486,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.6248236953455573,
|
| 518 |
+
"grad_norm": 0.5812586258338217,
|
| 519 |
+
"learning_rate": 2.620781054816457e-06,
|
| 520 |
+
"loss": 0.5563,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.6473906911142455,
|
| 525 |
+
"grad_norm": 0.5716844996625347,
|
| 526 |
+
"learning_rate": 2.5564355293897154e-06,
|
| 527 |
+
"loss": 0.5393,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.6699576868829338,
|
| 532 |
+
"grad_norm": 0.753596906503236,
|
| 533 |
+
"learning_rate": 2.49208556382268e-06,
|
| 534 |
+
"loss": 0.5546,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.692524682651622,
|
| 539 |
+
"grad_norm": 0.576809698814229,
|
| 540 |
+
"learning_rate": 2.427775555842057e-06,
|
| 541 |
+
"loss": 0.5461,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.7150916784203103,
|
| 546 |
+
"grad_norm": 0.5622230076695471,
|
| 547 |
+
"learning_rate": 2.3635498756061458e-06,
|
| 548 |
+
"loss": 0.5448,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.7376586741889986,
|
| 553 |
+
"grad_norm": 0.5168416840202211,
|
| 554 |
+
"learning_rate": 2.299452835092016e-06,
|
| 555 |
+
"loss": 0.545,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.7602256699576868,
|
| 560 |
+
"grad_norm": 0.5622613178078913,
|
| 561 |
+
"learning_rate": 2.2355286575228257e-06,
|
| 562 |
+
"loss": 0.5411,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.782792665726375,
|
| 567 |
+
"grad_norm": 0.5430296403870848,
|
| 568 |
+
"learning_rate": 2.1718214468563717e-06,
|
| 569 |
+
"loss": 0.5441,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.8053596614950633,
|
| 574 |
+
"grad_norm": 0.5628381998512493,
|
| 575 |
+
"learning_rate": 2.108375157355931e-06,
|
| 576 |
+
"loss": 0.5388,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.8279266572637518,
|
| 581 |
+
"grad_norm": 0.5362604312102565,
|
| 582 |
+
"learning_rate": 2.0452335632643795e-06,
|
| 583 |
+
"loss": 0.5494,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.85049365303244,
|
| 588 |
+
"grad_norm": 0.5154758412468956,
|
| 589 |
+
"learning_rate": 1.9824402286025154e-06,
|
| 590 |
+
"loss": 0.5363,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.8730606488011283,
|
| 595 |
+
"grad_norm": 0.5518765581430269,
|
| 596 |
+
"learning_rate": 1.92003847711242e-06,
|
| 597 |
+
"loss": 0.5481,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.8956276445698168,
|
| 602 |
+
"grad_norm": 0.5312728956898368,
|
| 603 |
+
"learning_rate": 1.8580713623666068e-06,
|
| 604 |
+
"loss": 0.5483,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.918194640338505,
|
| 609 |
+
"grad_norm": 0.5739522548168999,
|
| 610 |
+
"learning_rate": 1.7965816380635584e-06,
|
| 611 |
+
"loss": 0.5358,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.9407616361071933,
|
| 616 |
+
"grad_norm": 0.5414270420814203,
|
| 617 |
+
"learning_rate": 1.7356117285301693e-06,
|
| 618 |
+
"loss": 0.5409,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.9633286318758816,
|
| 623 |
+
"grad_norm": 0.5315261469742604,
|
| 624 |
+
"learning_rate": 1.675203699451431e-06,
|
| 625 |
+
"loss": 0.5475,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.9858956276445698,
|
| 630 |
+
"grad_norm": 0.5423045172744205,
|
| 631 |
+
"learning_rate": 1.6153992288475608e-06,
|
| 632 |
+
"loss": 0.5451,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.9994358251057829,
|
| 637 |
+
"eval_loss": 0.5835120677947998,
|
| 638 |
+
"eval_runtime": 684.5151,
|
| 639 |
+
"eval_samples_per_second": 17.444,
|
| 640 |
+
"eval_steps_per_second": 0.546,
|
| 641 |
+
"step": 886
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.008462623413258,
|
| 645 |
+
"grad_norm": 0.7539353987683947,
|
| 646 |
+
"learning_rate": 1.556239578318598e-06,
|
| 647 |
+
"loss": 0.5758,
|
| 648 |
+
"step": 890
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.0310296191819464,
|
| 652 |
+
"grad_norm": 0.649378671530231,
|
| 653 |
+
"learning_rate": 1.4977655645762997e-06,
|
| 654 |
+
"loss": 0.4993,
|
| 655 |
+
"step": 900
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.0535966149506346,
|
| 659 |
+
"grad_norm": 0.5877788518727063,
|
| 660 |
+
"learning_rate": 1.4400175312829936e-06,
|
| 661 |
+
"loss": 0.5018,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.076163610719323,
|
| 666 |
+
"grad_norm": 0.5479736885278639,
|
| 667 |
+
"learning_rate": 1.383035321216798e-06,
|
| 668 |
+
"loss": 0.4941,
|
| 669 |
+
"step": 920
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.098730606488011,
|
| 673 |
+
"grad_norm": 0.560572864576164,
|
| 674 |
+
"learning_rate": 1.3268582487824252e-06,
|
| 675 |
+
"loss": 0.5008,
|
| 676 |
+
"step": 930
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 2.1212976022566994,
|
| 680 |
+
"grad_norm": 0.544916918302148,
|
| 681 |
+
"learning_rate": 1.2715250728865372e-06,
|
| 682 |
+
"loss": 0.5045,
|
| 683 |
+
"step": 940
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 2.143864598025388,
|
| 687 |
+
"grad_norm": 0.5381551703507882,
|
| 688 |
+
"learning_rate": 1.2170739701963579e-06,
|
| 689 |
+
"loss": 0.5052,
|
| 690 |
+
"step": 950
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 2.1664315937940763,
|
| 694 |
+
"grad_norm": 0.546851451490464,
|
| 695 |
+
"learning_rate": 1.1635425087999944e-06,
|
| 696 |
+
"loss": 0.5012,
|
| 697 |
+
"step": 960
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 2.1889985895627646,
|
| 701 |
+
"grad_norm": 0.553761979218256,
|
| 702 |
+
"learning_rate": 1.1109676222866447e-06,
|
| 703 |
+
"loss": 0.4979,
|
| 704 |
+
"step": 970
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.211565585331453,
|
| 708 |
+
"grad_norm": 0.5140355615402071,
|
| 709 |
+
"learning_rate": 1.0593855842645777e-06,
|
| 710 |
+
"loss": 0.4922,
|
| 711 |
+
"step": 980
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.234132581100141,
|
| 715 |
+
"grad_norm": 0.5469356578333175,
|
| 716 |
+
"learning_rate": 1.0088319833344533e-06,
|
| 717 |
+
"loss": 0.4919,
|
| 718 |
+
"step": 990
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 2.2566995768688294,
|
| 722 |
+
"grad_norm": 0.5770077265245278,
|
| 723 |
+
"learning_rate": 9.593416985352631e-07,
|
| 724 |
+
"loss": 0.5012,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 2.2792665726375176,
|
| 729 |
+
"grad_norm": 0.5611649964055478,
|
| 730 |
+
"learning_rate": 9.109488752798265e-07,
|
| 731 |
+
"loss": 0.5067,
|
| 732 |
+
"step": 1010
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 2.301833568406206,
|
| 736 |
+
"grad_norm": 0.544952831573923,
|
| 737 |
+
"learning_rate": 8.636869017964417e-07,
|
| 738 |
+
"loss": 0.5007,
|
| 739 |
+
"step": 1020
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 2.324400564174894,
|
| 743 |
+
"grad_norm": 0.5789004985292946,
|
| 744 |
+
"learning_rate": 8.175883860929587e-07,
|
| 745 |
+
"loss": 0.5045,
|
| 746 |
+
"step": 1030
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 2.3469675599435824,
|
| 750 |
+
"grad_norm": 0.5276179958933169,
|
| 751 |
+
"learning_rate": 7.726851334591511e-07,
|
| 752 |
+
"loss": 0.5017,
|
| 753 |
+
"step": 1040
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 2.3695345557122707,
|
| 757 |
+
"grad_norm": 0.5396380700970511,
|
| 758 |
+
"learning_rate": 7.290081245229201e-07,
|
| 759 |
+
"loss": 0.4989,
|
| 760 |
+
"step": 1050
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 2.392101551480959,
|
| 764 |
+
"grad_norm": 0.5079546332537075,
|
| 765 |
+
"learning_rate": 6.865874938754659e-07,
|
| 766 |
+
"loss": 0.498,
|
| 767 |
+
"step": 1060
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 2.414668547249647,
|
| 771 |
+
"grad_norm": 0.5372856734992372,
|
| 772 |
+
"learning_rate": 6.454525092801745e-07,
|
| 773 |
+
"loss": 0.4983,
|
| 774 |
+
"step": 1070
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 2.4372355430183354,
|
| 778 |
+
"grad_norm": 0.5433991054748281,
|
| 779 |
+
"learning_rate": 6.056315514795699e-07,
|
| 780 |
+
"loss": 0.5016,
|
| 781 |
+
"step": 1080
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 2.459802538787024,
|
| 785 |
+
"grad_norm": 0.5113580868200133,
|
| 786 |
+
"learning_rate": 5.671520946142526e-07,
|
| 787 |
+
"loss": 0.4997,
|
| 788 |
+
"step": 1090
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 2.4823695345557124,
|
| 792 |
+
"grad_norm": 0.5287422362758118,
|
| 793 |
+
"learning_rate": 5.300406872673434e-07,
|
| 794 |
+
"loss": 0.5022,
|
| 795 |
+
"step": 1100
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.5049365303244007,
|
| 799 |
+
"grad_norm": 0.5243252088737198,
|
| 800 |
+
"learning_rate": 4.943229341475108e-07,
|
| 801 |
+
"loss": 0.5054,
|
| 802 |
+
"step": 1110
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 2.527503526093089,
|
| 806 |
+
"grad_norm": 0.5214904323076445,
|
| 807 |
+
"learning_rate": 4.600234784232087e-07,
|
| 808 |
+
"loss": 0.495,
|
| 809 |
+
"step": 1120
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 2.550070521861777,
|
| 813 |
+
"grad_norm": 0.5270933929763095,
|
| 814 |
+
"learning_rate": 4.2716598472033066e-07,
|
| 815 |
+
"loss": 0.4999,
|
| 816 |
+
"step": 1130
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 2.5726375176304654,
|
| 820 |
+
"grad_norm": 0.5345621477399009,
|
| 821 |
+
"learning_rate": 3.957731227949975e-07,
|
| 822 |
+
"loss": 0.4982,
|
| 823 |
+
"step": 1140
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 2.5952045133991537,
|
| 827 |
+
"grad_norm": 0.5205630847096079,
|
| 828 |
+
"learning_rate": 3.6586655189274235e-07,
|
| 829 |
+
"loss": 0.4986,
|
| 830 |
+
"step": 1150
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 2.617771509167842,
|
| 834 |
+
"grad_norm": 0.5533684987412459,
|
| 835 |
+
"learning_rate": 3.374669058048948e-07,
|
| 836 |
+
"loss": 0.5019,
|
| 837 |
+
"step": 1160
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 2.64033850493653,
|
| 841 |
+
"grad_norm": 0.5750216155975586,
|
| 842 |
+
"learning_rate": 3.1059377863246947e-07,
|
| 843 |
+
"loss": 0.4904,
|
| 844 |
+
"step": 1170
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 2.6629055007052185,
|
| 848 |
+
"grad_norm": 0.5225421360510641,
|
| 849 |
+
"learning_rate": 2.8526571126737587e-07,
|
| 850 |
+
"loss": 0.5015,
|
| 851 |
+
"step": 1180
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 2.685472496473907,
|
| 855 |
+
"grad_norm": 0.5182002723553231,
|
| 856 |
+
"learning_rate": 2.615001786002833e-07,
|
| 857 |
+
"loss": 0.502,
|
| 858 |
+
"step": 1190
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 2.7080394922425954,
|
| 862 |
+
"grad_norm": 0.5335554786344534,
|
| 863 |
+
"learning_rate": 2.3931357746396515e-07,
|
| 864 |
+
"loss": 0.5001,
|
| 865 |
+
"step": 1200
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 2.7306064880112837,
|
| 869 |
+
"grad_norm": 0.5298076499586926,
|
| 870 |
+
"learning_rate": 2.1872121532043977e-07,
|
| 871 |
+
"loss": 0.5009,
|
| 872 |
+
"step": 1210
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 2.753173483779972,
|
| 876 |
+
"grad_norm": 0.521497332991374,
|
| 877 |
+
"learning_rate": 1.9973729969971315e-07,
|
| 878 |
+
"loss": 0.4973,
|
| 879 |
+
"step": 1220
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 2.77574047954866,
|
| 883 |
+
"grad_norm": 0.5199026307611461,
|
| 884 |
+
"learning_rate": 1.823749283974119e-07,
|
| 885 |
+
"loss": 0.5041,
|
| 886 |
+
"step": 1230
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 2.7983074753173485,
|
| 890 |
+
"grad_norm": 0.5141813761312602,
|
| 891 |
+
"learning_rate": 1.6664608043806614e-07,
|
| 892 |
+
"loss": 0.5023,
|
| 893 |
+
"step": 1240
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 2.8208744710860367,
|
| 897 |
+
"grad_norm": 0.513473611989643,
|
| 898 |
+
"learning_rate": 1.5256160781028118e-07,
|
| 899 |
+
"loss": 0.5021,
|
| 900 |
+
"step": 1250
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 2.843441466854725,
|
| 904 |
+
"grad_norm": 0.5144086219492163,
|
| 905 |
+
"learning_rate": 1.401312279794984e-07,
|
| 906 |
+
"loss": 0.5036,
|
| 907 |
+
"step": 1260
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 2.8660084626234132,
|
| 911 |
+
"grad_norm": 0.507879807961254,
|
| 912 |
+
"learning_rate": 1.2936351718350923e-07,
|
| 913 |
+
"loss": 0.5009,
|
| 914 |
+
"step": 1270
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 2.8885754583921015,
|
| 918 |
+
"grad_norm": 0.5056596630306435,
|
| 919 |
+
"learning_rate": 1.202659045153513e-07,
|
| 920 |
+
"loss": 0.4983,
|
| 921 |
+
"step": 1280
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 2.9111424541607898,
|
| 925 |
+
"grad_norm": 0.5186469070972282,
|
| 926 |
+
"learning_rate": 1.1284466679766762e-07,
|
| 927 |
+
"loss": 0.5021,
|
| 928 |
+
"step": 1290
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 2.933709449929478,
|
| 932 |
+
"grad_norm": 0.5191667761810439,
|
| 933 |
+
"learning_rate": 1.0710492425206354e-07,
|
| 934 |
+
"loss": 0.4973,
|
| 935 |
+
"step": 1300
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 2.9562764456981663,
|
| 939 |
+
"grad_norm": 0.5453516596097608,
|
| 940 |
+
"learning_rate": 1.0305063696645283e-07,
|
| 941 |
+
"loss": 0.5012,
|
| 942 |
+
"step": 1310
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 2.9788434414668545,
|
| 946 |
+
"grad_norm": 0.5160351097067257,
|
| 947 |
+
"learning_rate": 1.006846021628281e-07,
|
| 948 |
+
"loss": 0.4967,
|
| 949 |
+
"step": 1320
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 2.9991537376586743,
|
| 953 |
+
"eval_loss": 0.5900959968566895,
|
| 954 |
+
"eval_runtime": 688.3543,
|
| 955 |
+
"eval_samples_per_second": 17.347,
|
| 956 |
+
"eval_steps_per_second": 0.543,
|
| 957 |
+
"step": 1329
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 2.9991537376586743,
|
| 961 |
+
"step": 1329,
|
| 962 |
+
"total_flos": 5064195066298368.0,
|
| 963 |
+
"train_loss": 0.55943138999451,
|
| 964 |
+
"train_runtime": 121397.9839,
|
| 965 |
+
"train_samples_per_second": 5.606,
|
| 966 |
+
"train_steps_per_second": 0.011
|
| 967 |
+
}
|
| 968 |
+
],
|
| 969 |
+
"logging_steps": 10,
|
| 970 |
+
"max_steps": 1329,
|
| 971 |
+
"num_input_tokens_seen": 0,
|
| 972 |
+
"num_train_epochs": 3,
|
| 973 |
+
"save_steps": 500,
|
| 974 |
+
"stateful_callbacks": {
|
| 975 |
+
"TrainerControl": {
|
| 976 |
+
"args": {
|
| 977 |
+
"should_epoch_stop": false,
|
| 978 |
+
"should_evaluate": false,
|
| 979 |
+
"should_log": false,
|
| 980 |
+
"should_save": true,
|
| 981 |
+
"should_training_stop": true
|
| 982 |
+
},
|
| 983 |
+
"attributes": {}
|
| 984 |
+
}
|
| 985 |
+
},
|
| 986 |
+
"total_flos": 5064195066298368.0,
|
| 987 |
+
"train_batch_size": 4,
|
| 988 |
+
"trial_name": null,
|
| 989 |
+
"trial_params": null
|
| 990 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|