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 +948 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: llama3.1
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: oh-dcft-v3.1-gpt-4o-mini
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# oh-dcft-v3.1-gpt-4o-mini
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.6413
|
| 21 |
|
|
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: oh-dcft-v3.1-gpt-4o-mini
|
|
|
|
| 16 |
|
| 17 |
# oh-dcft-v3.1-gpt-4o-mini
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.6413
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9946777054997042,
|
| 3 |
+
"eval_loss": 0.6413019895553589,
|
| 4 |
+
"eval_runtime": 226.4353,
|
| 5 |
+
"eval_samples_per_second": 50.297,
|
| 6 |
+
"eval_steps_per_second": 0.393,
|
| 7 |
+
"total_flos": 2120178393415680.0,
|
| 8 |
+
"train_loss": 0.6201754979801027,
|
| 9 |
+
"train_runtime": 38082.1567,
|
| 10 |
+
"train_samples_per_second": 17.045,
|
| 11 |
+
"train_steps_per_second": 0.033
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9946777054997042,
|
| 3 |
+
"eval_loss": 0.6413019895553589,
|
| 4 |
+
"eval_runtime": 226.4353,
|
| 5 |
+
"eval_samples_per_second": 50.297,
|
| 6 |
+
"eval_steps_per_second": 0.393
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9946777054997042,
|
| 3 |
+
"total_flos": 2120178393415680.0,
|
| 4 |
+
"train_loss": 0.6201754979801027,
|
| 5 |
+
"train_runtime": 38082.1567,
|
| 6 |
+
"train_samples_per_second": 17.045,
|
| 7 |
+
"train_steps_per_second": 0.033
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,948 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.9946777054997042,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1266,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02365464222353637,
|
| 13 |
+
"grad_norm": 1.5665423397587683,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 0.8891,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.04730928444707274,
|
| 20 |
+
"grad_norm": 1.0589767378232773,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.7949,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0709639266706091,
|
| 27 |
+
"grad_norm": 0.8838983419870171,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.7599,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.09461856889414548,
|
| 34 |
+
"grad_norm": 0.9501620192903069,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.7391,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.11827321111768184,
|
| 41 |
+
"grad_norm": 0.7634636002964827,
|
| 42 |
+
"learning_rate": 5e-06,
|
| 43 |
+
"loss": 0.7272,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1419278533412182,
|
| 48 |
+
"grad_norm": 0.6753406016779676,
|
| 49 |
+
"learning_rate": 5e-06,
|
| 50 |
+
"loss": 0.7159,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.16558249556475457,
|
| 55 |
+
"grad_norm": 0.6614325908691252,
|
| 56 |
+
"learning_rate": 5e-06,
|
| 57 |
+
"loss": 0.7118,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.18923713778829096,
|
| 62 |
+
"grad_norm": 0.7719184686061289,
|
| 63 |
+
"learning_rate": 5e-06,
|
| 64 |
+
"loss": 0.7019,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.21289178001182732,
|
| 69 |
+
"grad_norm": 0.7524231413666251,
|
| 70 |
+
"learning_rate": 5e-06,
|
| 71 |
+
"loss": 0.6872,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.23654642223536368,
|
| 76 |
+
"grad_norm": 0.8110229180711027,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 0.6853,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.26020106445890007,
|
| 83 |
+
"grad_norm": 0.4971482406443161,
|
| 84 |
+
"learning_rate": 5e-06,
|
| 85 |
+
"loss": 0.6909,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.2838557066824364,
|
| 90 |
+
"grad_norm": 0.9464051864732146,
|
| 91 |
+
"learning_rate": 5e-06,
|
| 92 |
+
"loss": 0.6782,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.3075103489059728,
|
| 97 |
+
"grad_norm": 0.5071907565316945,
|
| 98 |
+
"learning_rate": 5e-06,
|
| 99 |
+
"loss": 0.6744,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.33116499112950915,
|
| 104 |
+
"grad_norm": 0.9224817650868851,
|
| 105 |
+
"learning_rate": 5e-06,
|
| 106 |
+
"loss": 0.6828,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.35481963335304556,
|
| 111 |
+
"grad_norm": 0.8885554899363501,
|
| 112 |
+
"learning_rate": 5e-06,
|
| 113 |
+
"loss": 0.6661,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.3784742755765819,
|
| 118 |
+
"grad_norm": 0.4781037463107871,
|
| 119 |
+
"learning_rate": 5e-06,
|
| 120 |
+
"loss": 0.6701,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.4021289178001183,
|
| 125 |
+
"grad_norm": 0.6023227514998295,
|
| 126 |
+
"learning_rate": 5e-06,
|
| 127 |
+
"loss": 0.6677,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.42578356002365464,
|
| 132 |
+
"grad_norm": 0.5603961021476538,
|
| 133 |
+
"learning_rate": 5e-06,
|
| 134 |
+
"loss": 0.6742,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.449438202247191,
|
| 139 |
+
"grad_norm": 0.4984868681428728,
|
| 140 |
+
"learning_rate": 5e-06,
|
| 141 |
+
"loss": 0.6711,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.47309284447072736,
|
| 146 |
+
"grad_norm": 0.6312594557804502,
|
| 147 |
+
"learning_rate": 5e-06,
|
| 148 |
+
"loss": 0.6689,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.4967474866942638,
|
| 153 |
+
"grad_norm": 0.9550758404721197,
|
| 154 |
+
"learning_rate": 5e-06,
|
| 155 |
+
"loss": 0.6707,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.5204021289178001,
|
| 160 |
+
"grad_norm": 0.6169594889049308,
|
| 161 |
+
"learning_rate": 5e-06,
|
| 162 |
+
"loss": 0.6699,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.5440567711413364,
|
| 167 |
+
"grad_norm": 0.46636130254439206,
|
| 168 |
+
"learning_rate": 5e-06,
|
| 169 |
+
"loss": 0.6615,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.5677114133648729,
|
| 174 |
+
"grad_norm": 0.5215033819505257,
|
| 175 |
+
"learning_rate": 5e-06,
|
| 176 |
+
"loss": 0.6657,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.5913660555884093,
|
| 181 |
+
"grad_norm": 0.5111456784576656,
|
| 182 |
+
"learning_rate": 5e-06,
|
| 183 |
+
"loss": 0.6633,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.6150206978119456,
|
| 188 |
+
"grad_norm": 0.517604760100503,
|
| 189 |
+
"learning_rate": 5e-06,
|
| 190 |
+
"loss": 0.6531,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.638675340035482,
|
| 195 |
+
"grad_norm": 0.6357411311158894,
|
| 196 |
+
"learning_rate": 5e-06,
|
| 197 |
+
"loss": 0.6652,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.6623299822590183,
|
| 202 |
+
"grad_norm": 0.6476086780436829,
|
| 203 |
+
"learning_rate": 5e-06,
|
| 204 |
+
"loss": 0.6676,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.6859846244825547,
|
| 209 |
+
"grad_norm": 0.46209126279187906,
|
| 210 |
+
"learning_rate": 5e-06,
|
| 211 |
+
"loss": 0.6601,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.7096392667060911,
|
| 216 |
+
"grad_norm": 0.521950153282793,
|
| 217 |
+
"learning_rate": 5e-06,
|
| 218 |
+
"loss": 0.6554,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.7332939089296274,
|
| 223 |
+
"grad_norm": 0.47211201942387604,
|
| 224 |
+
"learning_rate": 5e-06,
|
| 225 |
+
"loss": 0.6617,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.7569485511531638,
|
| 230 |
+
"grad_norm": 0.5341122235375386,
|
| 231 |
+
"learning_rate": 5e-06,
|
| 232 |
+
"loss": 0.6563,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.7806031933767001,
|
| 237 |
+
"grad_norm": 0.5708931772664904,
|
| 238 |
+
"learning_rate": 5e-06,
|
| 239 |
+
"loss": 0.654,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.8042578356002366,
|
| 244 |
+
"grad_norm": 0.6195560307499095,
|
| 245 |
+
"learning_rate": 5e-06,
|
| 246 |
+
"loss": 0.6543,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.8279124778237729,
|
| 251 |
+
"grad_norm": 0.5625110791293699,
|
| 252 |
+
"learning_rate": 5e-06,
|
| 253 |
+
"loss": 0.6621,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.8515671200473093,
|
| 258 |
+
"grad_norm": 0.4510061091403496,
|
| 259 |
+
"learning_rate": 5e-06,
|
| 260 |
+
"loss": 0.6546,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.8752217622708457,
|
| 265 |
+
"grad_norm": 0.46670984016010486,
|
| 266 |
+
"learning_rate": 5e-06,
|
| 267 |
+
"loss": 0.6576,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.898876404494382,
|
| 272 |
+
"grad_norm": 0.5044563574335732,
|
| 273 |
+
"learning_rate": 5e-06,
|
| 274 |
+
"loss": 0.6489,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.9225310467179184,
|
| 279 |
+
"grad_norm": 0.6276485740632245,
|
| 280 |
+
"learning_rate": 5e-06,
|
| 281 |
+
"loss": 0.6548,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.9461856889414547,
|
| 286 |
+
"grad_norm": 0.4849232290323015,
|
| 287 |
+
"learning_rate": 5e-06,
|
| 288 |
+
"loss": 0.6473,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.9698403311649911,
|
| 293 |
+
"grad_norm": 0.47066212467927304,
|
| 294 |
+
"learning_rate": 5e-06,
|
| 295 |
+
"loss": 0.6504,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.9934949733885275,
|
| 300 |
+
"grad_norm": 0.5498376915549745,
|
| 301 |
+
"learning_rate": 5e-06,
|
| 302 |
+
"loss": 0.6489,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.9982259018332348,
|
| 307 |
+
"eval_loss": 0.6508141756057739,
|
| 308 |
+
"eval_runtime": 226.6795,
|
| 309 |
+
"eval_samples_per_second": 50.243,
|
| 310 |
+
"eval_steps_per_second": 0.393,
|
| 311 |
+
"step": 422
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.0171496156120639,
|
| 315 |
+
"grad_norm": 0.5216981625298186,
|
| 316 |
+
"learning_rate": 5e-06,
|
| 317 |
+
"loss": 0.6225,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.0408042578356003,
|
| 322 |
+
"grad_norm": 0.5287278292361843,
|
| 323 |
+
"learning_rate": 5e-06,
|
| 324 |
+
"loss": 0.6077,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.0644589000591367,
|
| 329 |
+
"grad_norm": 0.7304842680236713,
|
| 330 |
+
"learning_rate": 5e-06,
|
| 331 |
+
"loss": 0.6058,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.0881135422826729,
|
| 336 |
+
"grad_norm": 0.5644902109246774,
|
| 337 |
+
"learning_rate": 5e-06,
|
| 338 |
+
"loss": 0.6138,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.1117681845062093,
|
| 343 |
+
"grad_norm": 0.4753652134651053,
|
| 344 |
+
"learning_rate": 5e-06,
|
| 345 |
+
"loss": 0.6129,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.1354228267297457,
|
| 350 |
+
"grad_norm": 0.7165345582019033,
|
| 351 |
+
"learning_rate": 5e-06,
|
| 352 |
+
"loss": 0.6125,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.1590774689532821,
|
| 357 |
+
"grad_norm": 0.4641812019487026,
|
| 358 |
+
"learning_rate": 5e-06,
|
| 359 |
+
"loss": 0.6106,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.1827321111768185,
|
| 364 |
+
"grad_norm": 0.4846409340358244,
|
| 365 |
+
"learning_rate": 5e-06,
|
| 366 |
+
"loss": 0.6065,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.2063867534003547,
|
| 371 |
+
"grad_norm": 0.5624538054911821,
|
| 372 |
+
"learning_rate": 5e-06,
|
| 373 |
+
"loss": 0.6058,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.2300413956238911,
|
| 378 |
+
"grad_norm": 0.5069531857984526,
|
| 379 |
+
"learning_rate": 5e-06,
|
| 380 |
+
"loss": 0.6114,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.2536960378474276,
|
| 385 |
+
"grad_norm": 0.5605749208808489,
|
| 386 |
+
"learning_rate": 5e-06,
|
| 387 |
+
"loss": 0.6117,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.277350680070964,
|
| 392 |
+
"grad_norm": 0.5081677690669225,
|
| 393 |
+
"learning_rate": 5e-06,
|
| 394 |
+
"loss": 0.6133,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.3010053222945004,
|
| 399 |
+
"grad_norm": 0.5493923133675747,
|
| 400 |
+
"learning_rate": 5e-06,
|
| 401 |
+
"loss": 0.6101,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.3246599645180366,
|
| 406 |
+
"grad_norm": 0.44898345952125707,
|
| 407 |
+
"learning_rate": 5e-06,
|
| 408 |
+
"loss": 0.6096,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.348314606741573,
|
| 413 |
+
"grad_norm": 0.6655768726116028,
|
| 414 |
+
"learning_rate": 5e-06,
|
| 415 |
+
"loss": 0.6094,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.3719692489651094,
|
| 420 |
+
"grad_norm": 0.4649052455972333,
|
| 421 |
+
"learning_rate": 5e-06,
|
| 422 |
+
"loss": 0.614,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.3956238911886458,
|
| 427 |
+
"grad_norm": 0.43539888089438844,
|
| 428 |
+
"learning_rate": 5e-06,
|
| 429 |
+
"loss": 0.6138,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.4192785334121822,
|
| 434 |
+
"grad_norm": 0.5826398325628406,
|
| 435 |
+
"learning_rate": 5e-06,
|
| 436 |
+
"loss": 0.601,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.4429331756357184,
|
| 441 |
+
"grad_norm": 0.4128719638682357,
|
| 442 |
+
"learning_rate": 5e-06,
|
| 443 |
+
"loss": 0.6022,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.4665878178592548,
|
| 448 |
+
"grad_norm": 0.45529767094349805,
|
| 449 |
+
"learning_rate": 5e-06,
|
| 450 |
+
"loss": 0.6052,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.4902424600827913,
|
| 455 |
+
"grad_norm": 0.4330632579708222,
|
| 456 |
+
"learning_rate": 5e-06,
|
| 457 |
+
"loss": 0.6156,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.5138971023063275,
|
| 462 |
+
"grad_norm": 0.44938881612128456,
|
| 463 |
+
"learning_rate": 5e-06,
|
| 464 |
+
"loss": 0.6152,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.537551744529864,
|
| 469 |
+
"grad_norm": 0.46628155511438146,
|
| 470 |
+
"learning_rate": 5e-06,
|
| 471 |
+
"loss": 0.6041,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.5612063867534003,
|
| 476 |
+
"grad_norm": 0.5843372770531808,
|
| 477 |
+
"learning_rate": 5e-06,
|
| 478 |
+
"loss": 0.6091,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.5848610289769367,
|
| 483 |
+
"grad_norm": 0.5865805864061058,
|
| 484 |
+
"learning_rate": 5e-06,
|
| 485 |
+
"loss": 0.6055,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.6085156712004731,
|
| 490 |
+
"grad_norm": 0.6180152508932449,
|
| 491 |
+
"learning_rate": 5e-06,
|
| 492 |
+
"loss": 0.6098,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.6321703134240093,
|
| 497 |
+
"grad_norm": 0.5250880775614019,
|
| 498 |
+
"learning_rate": 5e-06,
|
| 499 |
+
"loss": 0.6035,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.655824955647546,
|
| 504 |
+
"grad_norm": 0.478978441549023,
|
| 505 |
+
"learning_rate": 5e-06,
|
| 506 |
+
"loss": 0.6107,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.6794795978710821,
|
| 511 |
+
"grad_norm": 0.5161048108398052,
|
| 512 |
+
"learning_rate": 5e-06,
|
| 513 |
+
"loss": 0.6106,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.7031342400946186,
|
| 518 |
+
"grad_norm": 0.5444636992966723,
|
| 519 |
+
"learning_rate": 5e-06,
|
| 520 |
+
"loss": 0.6123,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.726788882318155,
|
| 525 |
+
"grad_norm": 0.49014325863511293,
|
| 526 |
+
"learning_rate": 5e-06,
|
| 527 |
+
"loss": 0.6131,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.7504435245416912,
|
| 532 |
+
"grad_norm": 0.6313993012312799,
|
| 533 |
+
"learning_rate": 5e-06,
|
| 534 |
+
"loss": 0.6059,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.7740981667652278,
|
| 539 |
+
"grad_norm": 0.5158091820023666,
|
| 540 |
+
"learning_rate": 5e-06,
|
| 541 |
+
"loss": 0.6116,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.797752808988764,
|
| 546 |
+
"grad_norm": 0.47029237511942096,
|
| 547 |
+
"learning_rate": 5e-06,
|
| 548 |
+
"loss": 0.617,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.8214074512123004,
|
| 553 |
+
"grad_norm": 0.4280088668307211,
|
| 554 |
+
"learning_rate": 5e-06,
|
| 555 |
+
"loss": 0.6167,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.8450620934358368,
|
| 560 |
+
"grad_norm": 0.42280798454326274,
|
| 561 |
+
"learning_rate": 5e-06,
|
| 562 |
+
"loss": 0.6094,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.868716735659373,
|
| 567 |
+
"grad_norm": 0.5015010241124669,
|
| 568 |
+
"learning_rate": 5e-06,
|
| 569 |
+
"loss": 0.606,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.8923713778829097,
|
| 574 |
+
"grad_norm": 0.4647527250682549,
|
| 575 |
+
"learning_rate": 5e-06,
|
| 576 |
+
"loss": 0.614,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.9160260201064458,
|
| 581 |
+
"grad_norm": 0.45335597096154956,
|
| 582 |
+
"learning_rate": 5e-06,
|
| 583 |
+
"loss": 0.6142,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.9396806623299823,
|
| 588 |
+
"grad_norm": 0.4377674877634198,
|
| 589 |
+
"learning_rate": 5e-06,
|
| 590 |
+
"loss": 0.6009,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.9633353045535187,
|
| 595 |
+
"grad_norm": 0.4922578419992401,
|
| 596 |
+
"learning_rate": 5e-06,
|
| 597 |
+
"loss": 0.6108,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.9869899467770549,
|
| 602 |
+
"grad_norm": 0.4440378004846697,
|
| 603 |
+
"learning_rate": 5e-06,
|
| 604 |
+
"loss": 0.5988,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.9988172678888232,
|
| 609 |
+
"eval_loss": 0.6402984857559204,
|
| 610 |
+
"eval_runtime": 227.8867,
|
| 611 |
+
"eval_samples_per_second": 49.977,
|
| 612 |
+
"eval_steps_per_second": 0.391,
|
| 613 |
+
"step": 845
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.0106445890005915,
|
| 617 |
+
"grad_norm": 0.6249254373352294,
|
| 618 |
+
"learning_rate": 5e-06,
|
| 619 |
+
"loss": 0.5864,
|
| 620 |
+
"step": 850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.0342992312241277,
|
| 624 |
+
"grad_norm": 0.5229366411844095,
|
| 625 |
+
"learning_rate": 5e-06,
|
| 626 |
+
"loss": 0.5668,
|
| 627 |
+
"step": 860
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.057953873447664,
|
| 631 |
+
"grad_norm": 0.5273129182521392,
|
| 632 |
+
"learning_rate": 5e-06,
|
| 633 |
+
"loss": 0.569,
|
| 634 |
+
"step": 870
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.0816085156712005,
|
| 638 |
+
"grad_norm": 0.5807006714823286,
|
| 639 |
+
"learning_rate": 5e-06,
|
| 640 |
+
"loss": 0.5605,
|
| 641 |
+
"step": 880
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.1052631578947367,
|
| 645 |
+
"grad_norm": 0.5316074498783832,
|
| 646 |
+
"learning_rate": 5e-06,
|
| 647 |
+
"loss": 0.5644,
|
| 648 |
+
"step": 890
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.1289178001182734,
|
| 652 |
+
"grad_norm": 0.571954438502547,
|
| 653 |
+
"learning_rate": 5e-06,
|
| 654 |
+
"loss": 0.5674,
|
| 655 |
+
"step": 900
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.1525724423418096,
|
| 659 |
+
"grad_norm": 0.4503797360191138,
|
| 660 |
+
"learning_rate": 5e-06,
|
| 661 |
+
"loss": 0.5625,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.1762270845653457,
|
| 666 |
+
"grad_norm": 0.49334190713186854,
|
| 667 |
+
"learning_rate": 5e-06,
|
| 668 |
+
"loss": 0.5648,
|
| 669 |
+
"step": 920
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.1998817267888824,
|
| 673 |
+
"grad_norm": 0.5335672716582398,
|
| 674 |
+
"learning_rate": 5e-06,
|
| 675 |
+
"loss": 0.5647,
|
| 676 |
+
"step": 930
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 2.2235363690124186,
|
| 680 |
+
"grad_norm": 0.5933317390318844,
|
| 681 |
+
"learning_rate": 5e-06,
|
| 682 |
+
"loss": 0.5662,
|
| 683 |
+
"step": 940
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 2.247191011235955,
|
| 687 |
+
"grad_norm": 0.5891028799938252,
|
| 688 |
+
"learning_rate": 5e-06,
|
| 689 |
+
"loss": 0.5716,
|
| 690 |
+
"step": 950
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 2.2708456534594914,
|
| 694 |
+
"grad_norm": 0.5459106423210626,
|
| 695 |
+
"learning_rate": 5e-06,
|
| 696 |
+
"loss": 0.5651,
|
| 697 |
+
"step": 960
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 2.2945002956830276,
|
| 701 |
+
"grad_norm": 0.5290952299819603,
|
| 702 |
+
"learning_rate": 5e-06,
|
| 703 |
+
"loss": 0.568,
|
| 704 |
+
"step": 970
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.3181549379065642,
|
| 708 |
+
"grad_norm": 0.612560828315047,
|
| 709 |
+
"learning_rate": 5e-06,
|
| 710 |
+
"loss": 0.5695,
|
| 711 |
+
"step": 980
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.3418095801301004,
|
| 715 |
+
"grad_norm": 0.4941237525745503,
|
| 716 |
+
"learning_rate": 5e-06,
|
| 717 |
+
"loss": 0.5689,
|
| 718 |
+
"step": 990
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 2.365464222353637,
|
| 722 |
+
"grad_norm": 0.5650925849128444,
|
| 723 |
+
"learning_rate": 5e-06,
|
| 724 |
+
"loss": 0.5688,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 2.3891188645771733,
|
| 729 |
+
"grad_norm": 0.4960493342953518,
|
| 730 |
+
"learning_rate": 5e-06,
|
| 731 |
+
"loss": 0.568,
|
| 732 |
+
"step": 1010
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 2.4127735068007095,
|
| 736 |
+
"grad_norm": 0.5675556976300212,
|
| 737 |
+
"learning_rate": 5e-06,
|
| 738 |
+
"loss": 0.5656,
|
| 739 |
+
"step": 1020
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 2.436428149024246,
|
| 743 |
+
"grad_norm": 0.4679420975237042,
|
| 744 |
+
"learning_rate": 5e-06,
|
| 745 |
+
"loss": 0.5658,
|
| 746 |
+
"step": 1030
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 2.4600827912477823,
|
| 750 |
+
"grad_norm": 0.5934681961848346,
|
| 751 |
+
"learning_rate": 5e-06,
|
| 752 |
+
"loss": 0.5699,
|
| 753 |
+
"step": 1040
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 2.483737433471319,
|
| 757 |
+
"grad_norm": 0.4994164056392902,
|
| 758 |
+
"learning_rate": 5e-06,
|
| 759 |
+
"loss": 0.5705,
|
| 760 |
+
"step": 1050
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 2.507392075694855,
|
| 764 |
+
"grad_norm": 0.553203563454583,
|
| 765 |
+
"learning_rate": 5e-06,
|
| 766 |
+
"loss": 0.5692,
|
| 767 |
+
"step": 1060
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 2.5310467179183913,
|
| 771 |
+
"grad_norm": 0.4828644604519897,
|
| 772 |
+
"learning_rate": 5e-06,
|
| 773 |
+
"loss": 0.5741,
|
| 774 |
+
"step": 1070
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 2.554701360141928,
|
| 778 |
+
"grad_norm": 0.49982783159481065,
|
| 779 |
+
"learning_rate": 5e-06,
|
| 780 |
+
"loss": 0.5729,
|
| 781 |
+
"step": 1080
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 2.578356002365464,
|
| 785 |
+
"grad_norm": 0.5028480314612812,
|
| 786 |
+
"learning_rate": 5e-06,
|
| 787 |
+
"loss": 0.5688,
|
| 788 |
+
"step": 1090
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 2.6020106445890008,
|
| 792 |
+
"grad_norm": 0.47037814252850013,
|
| 793 |
+
"learning_rate": 5e-06,
|
| 794 |
+
"loss": 0.5693,
|
| 795 |
+
"step": 1100
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.625665286812537,
|
| 799 |
+
"grad_norm": 0.5106941109306207,
|
| 800 |
+
"learning_rate": 5e-06,
|
| 801 |
+
"loss": 0.5671,
|
| 802 |
+
"step": 1110
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 2.649319929036073,
|
| 806 |
+
"grad_norm": 0.6215547951000225,
|
| 807 |
+
"learning_rate": 5e-06,
|
| 808 |
+
"loss": 0.5792,
|
| 809 |
+
"step": 1120
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 2.67297457125961,
|
| 813 |
+
"grad_norm": 0.5708225359288293,
|
| 814 |
+
"learning_rate": 5e-06,
|
| 815 |
+
"loss": 0.5667,
|
| 816 |
+
"step": 1130
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 2.696629213483146,
|
| 820 |
+
"grad_norm": 0.4694908632163934,
|
| 821 |
+
"learning_rate": 5e-06,
|
| 822 |
+
"loss": 0.5666,
|
| 823 |
+
"step": 1140
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 2.7202838557066826,
|
| 827 |
+
"grad_norm": 0.5487886870493401,
|
| 828 |
+
"learning_rate": 5e-06,
|
| 829 |
+
"loss": 0.569,
|
| 830 |
+
"step": 1150
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 2.743938497930219,
|
| 834 |
+
"grad_norm": 0.5178726800202738,
|
| 835 |
+
"learning_rate": 5e-06,
|
| 836 |
+
"loss": 0.5755,
|
| 837 |
+
"step": 1160
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 2.767593140153755,
|
| 841 |
+
"grad_norm": 0.572400968003655,
|
| 842 |
+
"learning_rate": 5e-06,
|
| 843 |
+
"loss": 0.5687,
|
| 844 |
+
"step": 1170
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 2.7912477823772917,
|
| 848 |
+
"grad_norm": 0.4505102109858482,
|
| 849 |
+
"learning_rate": 5e-06,
|
| 850 |
+
"loss": 0.5694,
|
| 851 |
+
"step": 1180
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 2.814902424600828,
|
| 855 |
+
"grad_norm": 0.4721423964551259,
|
| 856 |
+
"learning_rate": 5e-06,
|
| 857 |
+
"loss": 0.5711,
|
| 858 |
+
"step": 1190
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 2.8385570668243645,
|
| 862 |
+
"grad_norm": 0.45313707571101325,
|
| 863 |
+
"learning_rate": 5e-06,
|
| 864 |
+
"loss": 0.568,
|
| 865 |
+
"step": 1200
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 2.8622117090479007,
|
| 869 |
+
"grad_norm": 0.4905572612804298,
|
| 870 |
+
"learning_rate": 5e-06,
|
| 871 |
+
"loss": 0.5708,
|
| 872 |
+
"step": 1210
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 2.885866351271437,
|
| 876 |
+
"grad_norm": 0.4488283221129483,
|
| 877 |
+
"learning_rate": 5e-06,
|
| 878 |
+
"loss": 0.5644,
|
| 879 |
+
"step": 1220
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 2.9095209934949735,
|
| 883 |
+
"grad_norm": 0.5086777707270197,
|
| 884 |
+
"learning_rate": 5e-06,
|
| 885 |
+
"loss": 0.57,
|
| 886 |
+
"step": 1230
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 2.9331756357185097,
|
| 890 |
+
"grad_norm": 0.5014035211864805,
|
| 891 |
+
"learning_rate": 5e-06,
|
| 892 |
+
"loss": 0.5719,
|
| 893 |
+
"step": 1240
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 2.9568302779420463,
|
| 897 |
+
"grad_norm": 0.46427442721882733,
|
| 898 |
+
"learning_rate": 5e-06,
|
| 899 |
+
"loss": 0.5812,
|
| 900 |
+
"step": 1250
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 2.9804849201655825,
|
| 904 |
+
"grad_norm": 0.4933592342573123,
|
| 905 |
+
"learning_rate": 5e-06,
|
| 906 |
+
"loss": 0.5728,
|
| 907 |
+
"step": 1260
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 2.9946777054997042,
|
| 911 |
+
"eval_loss": 0.6413019895553589,
|
| 912 |
+
"eval_runtime": 227.2584,
|
| 913 |
+
"eval_samples_per_second": 50.115,
|
| 914 |
+
"eval_steps_per_second": 0.392,
|
| 915 |
+
"step": 1266
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 2.9946777054997042,
|
| 919 |
+
"step": 1266,
|
| 920 |
+
"total_flos": 2120178393415680.0,
|
| 921 |
+
"train_loss": 0.6201754979801027,
|
| 922 |
+
"train_runtime": 38082.1567,
|
| 923 |
+
"train_samples_per_second": 17.045,
|
| 924 |
+
"train_steps_per_second": 0.033
|
| 925 |
+
}
|
| 926 |
+
],
|
| 927 |
+
"logging_steps": 10,
|
| 928 |
+
"max_steps": 1266,
|
| 929 |
+
"num_input_tokens_seen": 0,
|
| 930 |
+
"num_train_epochs": 3,
|
| 931 |
+
"save_steps": 500,
|
| 932 |
+
"stateful_callbacks": {
|
| 933 |
+
"TrainerControl": {
|
| 934 |
+
"args": {
|
| 935 |
+
"should_epoch_stop": false,
|
| 936 |
+
"should_evaluate": false,
|
| 937 |
+
"should_log": false,
|
| 938 |
+
"should_save": true,
|
| 939 |
+
"should_training_stop": true
|
| 940 |
+
},
|
| 941 |
+
"attributes": {}
|
| 942 |
+
}
|
| 943 |
+
},
|
| 944 |
+
"total_flos": 2120178393415680.0,
|
| 945 |
+
"train_batch_size": 8,
|
| 946 |
+
"trial_name": null,
|
| 947 |
+
"trial_params": null
|
| 948 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|