End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +903 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: seed_code_multiple_samples_random_scale_up_4K
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# seed_code_multiple_samples_random_scale_up_4K
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: seed_code_multiple_samples_random_scale_up_4K
|
|
|
|
| 16 |
|
| 17 |
# seed_code_multiple_samples_random_scale_up_4K
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/seed_code_multiple_samples_random_scale_up_4K dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.968,
|
| 3 |
+
"total_flos": 121724209528832.0,
|
| 4 |
+
"train_loss": 0.9151467346563572,
|
| 5 |
+
"train_runtime": 7021.3239,
|
| 6 |
+
"train_samples_per_second": 1.709,
|
| 7 |
+
"train_steps_per_second": 0.018
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.968,
|
| 3 |
+
"total_flos": 121724209528832.0,
|
| 4 |
+
"train_loss": 0.9151467346563572,
|
| 5 |
+
"train_runtime": 7021.3239,
|
| 6 |
+
"train_samples_per_second": 1.709,
|
| 7 |
+
"train_steps_per_second": 0.018
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,903 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.968,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 123,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.024,
|
| 13 |
+
"grad_norm": 6.8362836837768555,
|
| 14 |
+
"learning_rate": 7.692307692307694e-07,
|
| 15 |
+
"loss": 1.2519,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.048,
|
| 20 |
+
"grad_norm": 6.583799362182617,
|
| 21 |
+
"learning_rate": 1.5384615384615387e-06,
|
| 22 |
+
"loss": 1.23,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.072,
|
| 27 |
+
"grad_norm": 6.952097415924072,
|
| 28 |
+
"learning_rate": 2.307692307692308e-06,
|
| 29 |
+
"loss": 1.2785,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.096,
|
| 34 |
+
"grad_norm": 6.371545314788818,
|
| 35 |
+
"learning_rate": 3.0769230769230774e-06,
|
| 36 |
+
"loss": 1.2499,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.12,
|
| 41 |
+
"grad_norm": 4.713391304016113,
|
| 42 |
+
"learning_rate": 3.846153846153847e-06,
|
| 43 |
+
"loss": 1.2259,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.144,
|
| 48 |
+
"grad_norm": 3.5113883018493652,
|
| 49 |
+
"learning_rate": 4.615384615384616e-06,
|
| 50 |
+
"loss": 1.1784,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.168,
|
| 55 |
+
"grad_norm": 2.6190996170043945,
|
| 56 |
+
"learning_rate": 5.384615384615385e-06,
|
| 57 |
+
"loss": 1.1433,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.192,
|
| 62 |
+
"grad_norm": 4.008308410644531,
|
| 63 |
+
"learning_rate": 6.153846153846155e-06,
|
| 64 |
+
"loss": 1.1378,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.216,
|
| 69 |
+
"grad_norm": 4.964306831359863,
|
| 70 |
+
"learning_rate": 6.923076923076923e-06,
|
| 71 |
+
"loss": 1.1729,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.24,
|
| 76 |
+
"grad_norm": 4.513827323913574,
|
| 77 |
+
"learning_rate": 7.692307692307694e-06,
|
| 78 |
+
"loss": 1.1446,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.264,
|
| 83 |
+
"grad_norm": 3.6050338745117188,
|
| 84 |
+
"learning_rate": 8.461538461538462e-06,
|
| 85 |
+
"loss": 1.0779,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.288,
|
| 90 |
+
"grad_norm": 3.471524715423584,
|
| 91 |
+
"learning_rate": 9.230769230769232e-06,
|
| 92 |
+
"loss": 1.0671,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.312,
|
| 97 |
+
"grad_norm": 2.42974591255188,
|
| 98 |
+
"learning_rate": 1e-05,
|
| 99 |
+
"loss": 1.0223,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.336,
|
| 104 |
+
"grad_norm": 1.8660697937011719,
|
| 105 |
+
"learning_rate": 9.997960964140946e-06,
|
| 106 |
+
"loss": 1.0106,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.36,
|
| 111 |
+
"grad_norm": 1.853407621383667,
|
| 112 |
+
"learning_rate": 9.991845519630679e-06,
|
| 113 |
+
"loss": 1.0557,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.384,
|
| 118 |
+
"grad_norm": 1.5663851499557495,
|
| 119 |
+
"learning_rate": 9.981658654313458e-06,
|
| 120 |
+
"loss": 0.9931,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.408,
|
| 125 |
+
"grad_norm": 1.4195172786712646,
|
| 126 |
+
"learning_rate": 9.96740867674275e-06,
|
| 127 |
+
"loss": 0.993,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.432,
|
| 132 |
+
"grad_norm": 1.153138518333435,
|
| 133 |
+
"learning_rate": 9.949107209404664e-06,
|
| 134 |
+
"loss": 1.0047,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.456,
|
| 139 |
+
"grad_norm": 1.4434843063354492,
|
| 140 |
+
"learning_rate": 9.926769179238467e-06,
|
| 141 |
+
"loss": 0.9929,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.48,
|
| 146 |
+
"grad_norm": 1.1956053972244263,
|
| 147 |
+
"learning_rate": 9.900412805461968e-06,
|
| 148 |
+
"loss": 0.9942,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.504,
|
| 153 |
+
"grad_norm": 1.0062505006790161,
|
| 154 |
+
"learning_rate": 9.870059584711668e-06,
|
| 155 |
+
"loss": 0.9831,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.528,
|
| 160 |
+
"grad_norm": 1.0054383277893066,
|
| 161 |
+
"learning_rate": 9.835734273509787e-06,
|
| 162 |
+
"loss": 0.9784,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.552,
|
| 167 |
+
"grad_norm": 0.9153076410293579,
|
| 168 |
+
"learning_rate": 9.797464868072489e-06,
|
| 169 |
+
"loss": 0.9665,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.576,
|
| 174 |
+
"grad_norm": 0.9883344769477844,
|
| 175 |
+
"learning_rate": 9.755282581475769e-06,
|
| 176 |
+
"loss": 0.9633,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.6,
|
| 181 |
+
"grad_norm": 0.9623836874961853,
|
| 182 |
+
"learning_rate": 9.709221818197626e-06,
|
| 183 |
+
"loss": 0.9732,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.624,
|
| 188 |
+
"grad_norm": 0.8564513325691223,
|
| 189 |
+
"learning_rate": 9.659320146057263e-06,
|
| 190 |
+
"loss": 0.9188,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.648,
|
| 195 |
+
"grad_norm": 0.7836757302284241,
|
| 196 |
+
"learning_rate": 9.60561826557425e-06,
|
| 197 |
+
"loss": 0.9723,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.672,
|
| 202 |
+
"grad_norm": 0.8154799938201904,
|
| 203 |
+
"learning_rate": 9.548159976772593e-06,
|
| 204 |
+
"loss": 0.9103,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.696,
|
| 209 |
+
"grad_norm": 0.8699765205383301,
|
| 210 |
+
"learning_rate": 9.486992143456792e-06,
|
| 211 |
+
"loss": 0.9487,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.72,
|
| 216 |
+
"grad_norm": 0.6717429757118225,
|
| 217 |
+
"learning_rate": 9.422164654989073e-06,
|
| 218 |
+
"loss": 0.9657,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.744,
|
| 223 |
+
"grad_norm": 0.7567694187164307,
|
| 224 |
+
"learning_rate": 9.353730385598887e-06,
|
| 225 |
+
"loss": 0.9785,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.768,
|
| 230 |
+
"grad_norm": 0.7300078868865967,
|
| 231 |
+
"learning_rate": 9.281745151257946e-06,
|
| 232 |
+
"loss": 0.9331,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.792,
|
| 237 |
+
"grad_norm": 0.8414798378944397,
|
| 238 |
+
"learning_rate": 9.206267664155906e-06,
|
| 239 |
+
"loss": 0.9369,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.816,
|
| 244 |
+
"grad_norm": 0.7341222763061523,
|
| 245 |
+
"learning_rate": 9.12735948481387e-06,
|
| 246 |
+
"loss": 0.9246,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.84,
|
| 251 |
+
"grad_norm": 0.7759191393852234,
|
| 252 |
+
"learning_rate": 9.045084971874738e-06,
|
| 253 |
+
"loss": 0.935,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.864,
|
| 258 |
+
"grad_norm": 0.9772646427154541,
|
| 259 |
+
"learning_rate": 8.959511229611377e-06,
|
| 260 |
+
"loss": 0.9506,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.888,
|
| 265 |
+
"grad_norm": 0.7034265995025635,
|
| 266 |
+
"learning_rate": 8.870708053195414e-06,
|
| 267 |
+
"loss": 0.9332,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.912,
|
| 272 |
+
"grad_norm": 0.6552270650863647,
|
| 273 |
+
"learning_rate": 8.778747871771293e-06,
|
| 274 |
+
"loss": 0.8891,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.936,
|
| 279 |
+
"grad_norm": 0.7311168313026428,
|
| 280 |
+
"learning_rate": 8.683705689382025e-06,
|
| 281 |
+
"loss": 0.9656,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.96,
|
| 286 |
+
"grad_norm": 0.6239702701568604,
|
| 287 |
+
"learning_rate": 8.585659023794818e-06,
|
| 288 |
+
"loss": 0.9594,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.984,
|
| 293 |
+
"grad_norm": 0.7404515743255615,
|
| 294 |
+
"learning_rate": 8.48468784327647e-06,
|
| 295 |
+
"loss": 0.9467,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.016,
|
| 300 |
+
"grad_norm": 1.015267252922058,
|
| 301 |
+
"learning_rate": 8.380874501370098e-06,
|
| 302 |
+
"loss": 1.4435,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.04,
|
| 307 |
+
"grad_norm": 0.7437450885772705,
|
| 308 |
+
"learning_rate": 8.274303669726427e-06,
|
| 309 |
+
"loss": 0.9858,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.064,
|
| 314 |
+
"grad_norm": 0.5530978441238403,
|
| 315 |
+
"learning_rate": 8.165062269044353e-06,
|
| 316 |
+
"loss": 0.7881,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.088,
|
| 321 |
+
"grad_norm": 0.6483109593391418,
|
| 322 |
+
"learning_rate": 8.053239398177191e-06,
|
| 323 |
+
"loss": 0.8529,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.112,
|
| 328 |
+
"grad_norm": 0.6724779009819031,
|
| 329 |
+
"learning_rate": 7.938926261462366e-06,
|
| 330 |
+
"loss": 0.8778,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.1360000000000001,
|
| 335 |
+
"grad_norm": 0.7351576089859009,
|
| 336 |
+
"learning_rate": 7.822216094333847e-06,
|
| 337 |
+
"loss": 0.9103,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.16,
|
| 342 |
+
"grad_norm": 0.6864327192306519,
|
| 343 |
+
"learning_rate": 7.703204087277989e-06,
|
| 344 |
+
"loss": 0.848,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.184,
|
| 349 |
+
"grad_norm": 0.8479780554771423,
|
| 350 |
+
"learning_rate": 7.5819873081948105e-06,
|
| 351 |
+
"loss": 0.896,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.208,
|
| 356 |
+
"grad_norm": 0.6257553100585938,
|
| 357 |
+
"learning_rate": 7.45866462322802e-06,
|
| 358 |
+
"loss": 0.8881,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.232,
|
| 363 |
+
"grad_norm": 0.6846205592155457,
|
| 364 |
+
"learning_rate": 7.333336616128369e-06,
|
| 365 |
+
"loss": 0.9257,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.256,
|
| 370 |
+
"grad_norm": 0.970287561416626,
|
| 371 |
+
"learning_rate": 7.206105506216107e-06,
|
| 372 |
+
"loss": 0.8823,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.28,
|
| 377 |
+
"grad_norm": 0.6447298526763916,
|
| 378 |
+
"learning_rate": 7.0770750650094335e-06,
|
| 379 |
+
"loss": 0.822,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.304,
|
| 384 |
+
"grad_norm": 2.3928756713867188,
|
| 385 |
+
"learning_rate": 6.946350531586959e-06,
|
| 386 |
+
"loss": 0.7433,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.328,
|
| 391 |
+
"grad_norm": 0.8941048979759216,
|
| 392 |
+
"learning_rate": 6.814038526753205e-06,
|
| 393 |
+
"loss": 0.9697,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.3519999999999999,
|
| 398 |
+
"grad_norm": 0.6773728728294373,
|
| 399 |
+
"learning_rate": 6.680246966077151e-06,
|
| 400 |
+
"loss": 0.8388,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.376,
|
| 405 |
+
"grad_norm": 0.6578003764152527,
|
| 406 |
+
"learning_rate": 6.545084971874738e-06,
|
| 407 |
+
"loss": 0.898,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.4,
|
| 412 |
+
"grad_norm": 0.674293041229248,
|
| 413 |
+
"learning_rate": 6.408662784207149e-06,
|
| 414 |
+
"loss": 0.9156,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.424,
|
| 419 |
+
"grad_norm": 0.6401296854019165,
|
| 420 |
+
"learning_rate": 6.271091670967437e-06,
|
| 421 |
+
"loss": 0.8781,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.448,
|
| 426 |
+
"grad_norm": 0.6086285710334778,
|
| 427 |
+
"learning_rate": 6.132483837128823e-06,
|
| 428 |
+
"loss": 0.8464,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.472,
|
| 433 |
+
"grad_norm": 0.6196046471595764,
|
| 434 |
+
"learning_rate": 5.9929523332287275e-06,
|
| 435 |
+
"loss": 0.8604,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.496,
|
| 440 |
+
"grad_norm": 0.6998230814933777,
|
| 441 |
+
"learning_rate": 5.85261096316312e-06,
|
| 442 |
+
"loss": 0.9152,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.52,
|
| 447 |
+
"grad_norm": 0.645214855670929,
|
| 448 |
+
"learning_rate": 5.711574191366427e-06,
|
| 449 |
+
"loss": 0.8257,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.544,
|
| 454 |
+
"grad_norm": 0.7682178616523743,
|
| 455 |
+
"learning_rate": 5.569957049452703e-06,
|
| 456 |
+
"loss": 0.893,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.568,
|
| 461 |
+
"grad_norm": 0.5541701912879944,
|
| 462 |
+
"learning_rate": 5.4278750423942e-06,
|
| 463 |
+
"loss": 0.8719,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.592,
|
| 468 |
+
"grad_norm": 0.5373249053955078,
|
| 469 |
+
"learning_rate": 5.285444054313841e-06,
|
| 470 |
+
"loss": 0.8374,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.616,
|
| 475 |
+
"grad_norm": 0.6957194805145264,
|
| 476 |
+
"learning_rate": 5.142780253968481e-06,
|
| 477 |
+
"loss": 0.9636,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 1.6400000000000001,
|
| 482 |
+
"grad_norm": 0.4742963910102844,
|
| 483 |
+
"learning_rate": 5e-06,
|
| 484 |
+
"loss": 0.7453,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 1.6640000000000001,
|
| 489 |
+
"grad_norm": 0.6149660348892212,
|
| 490 |
+
"learning_rate": 4.85721974603152e-06,
|
| 491 |
+
"loss": 0.8727,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 1.688,
|
| 496 |
+
"grad_norm": 0.6649055480957031,
|
| 497 |
+
"learning_rate": 4.71455594568616e-06,
|
| 498 |
+
"loss": 0.8197,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 1.712,
|
| 503 |
+
"grad_norm": 0.5363019704818726,
|
| 504 |
+
"learning_rate": 4.572124957605803e-06,
|
| 505 |
+
"loss": 0.8977,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 1.736,
|
| 510 |
+
"grad_norm": 0.5486201643943787,
|
| 511 |
+
"learning_rate": 4.430042950547298e-06,
|
| 512 |
+
"loss": 0.8524,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 1.76,
|
| 517 |
+
"grad_norm": 0.7598503232002258,
|
| 518 |
+
"learning_rate": 4.2884258086335755e-06,
|
| 519 |
+
"loss": 0.8718,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 1.784,
|
| 524 |
+
"grad_norm": 0.5470713973045349,
|
| 525 |
+
"learning_rate": 4.147389036836881e-06,
|
| 526 |
+
"loss": 0.8436,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 1.808,
|
| 531 |
+
"grad_norm": 0.5422508120536804,
|
| 532 |
+
"learning_rate": 4.007047666771274e-06,
|
| 533 |
+
"loss": 0.9016,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 1.8319999999999999,
|
| 538 |
+
"grad_norm": 0.563028872013092,
|
| 539 |
+
"learning_rate": 3.867516162871177e-06,
|
| 540 |
+
"loss": 0.8374,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 1.8559999999999999,
|
| 545 |
+
"grad_norm": 0.5209132432937622,
|
| 546 |
+
"learning_rate": 3.7289083290325668e-06,
|
| 547 |
+
"loss": 0.833,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 1.88,
|
| 552 |
+
"grad_norm": 0.5739846229553223,
|
| 553 |
+
"learning_rate": 3.5913372157928515e-06,
|
| 554 |
+
"loss": 0.9076,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.904,
|
| 559 |
+
"grad_norm": 0.5330556035041809,
|
| 560 |
+
"learning_rate": 3.4549150281252635e-06,
|
| 561 |
+
"loss": 0.8753,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 1.928,
|
| 566 |
+
"grad_norm": 0.4843089282512665,
|
| 567 |
+
"learning_rate": 3.319753033922849e-06,
|
| 568 |
+
"loss": 0.8169,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 1.952,
|
| 573 |
+
"grad_norm": 0.5041735172271729,
|
| 574 |
+
"learning_rate": 3.1859614732467957e-06,
|
| 575 |
+
"loss": 0.8877,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.976,
|
| 580 |
+
"grad_norm": 0.5104906558990479,
|
| 581 |
+
"learning_rate": 3.053649468413043e-06,
|
| 582 |
+
"loss": 0.7909,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.008,
|
| 587 |
+
"grad_norm": 1.0316483974456787,
|
| 588 |
+
"learning_rate": 2.9229249349905686e-06,
|
| 589 |
+
"loss": 1.3689,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.032,
|
| 594 |
+
"grad_norm": 0.5285851955413818,
|
| 595 |
+
"learning_rate": 2.7938944937838924e-06,
|
| 596 |
+
"loss": 0.8718,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.056,
|
| 601 |
+
"grad_norm": 0.5638172626495361,
|
| 602 |
+
"learning_rate": 2.6666633838716317e-06,
|
| 603 |
+
"loss": 0.8144,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.08,
|
| 608 |
+
"grad_norm": 0.4385935962200165,
|
| 609 |
+
"learning_rate": 2.5413353767719805e-06,
|
| 610 |
+
"loss": 0.7497,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.104,
|
| 615 |
+
"grad_norm": 0.5555351376533508,
|
| 616 |
+
"learning_rate": 2.418012691805191e-06,
|
| 617 |
+
"loss": 0.9051,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.128,
|
| 622 |
+
"grad_norm": 0.5720311999320984,
|
| 623 |
+
"learning_rate": 2.296795912722014e-06,
|
| 624 |
+
"loss": 0.8908,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.152,
|
| 629 |
+
"grad_norm": 0.46188703179359436,
|
| 630 |
+
"learning_rate": 2.1777839056661555e-06,
|
| 631 |
+
"loss": 0.7216,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.176,
|
| 636 |
+
"grad_norm": 0.48220935463905334,
|
| 637 |
+
"learning_rate": 2.061073738537635e-06,
|
| 638 |
+
"loss": 0.8029,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.2,
|
| 643 |
+
"grad_norm": 0.49016672372817993,
|
| 644 |
+
"learning_rate": 1.946760601822809e-06,
|
| 645 |
+
"loss": 0.9015,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 2.224,
|
| 650 |
+
"grad_norm": 0.44178417325019836,
|
| 651 |
+
"learning_rate": 1.8349377309556487e-06,
|
| 652 |
+
"loss": 0.7919,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.248,
|
| 657 |
+
"grad_norm": 0.5433825850486755,
|
| 658 |
+
"learning_rate": 1.7256963302735752e-06,
|
| 659 |
+
"loss": 0.7993,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 2.2720000000000002,
|
| 664 |
+
"grad_norm": 0.39549779891967773,
|
| 665 |
+
"learning_rate": 1.6191254986299044e-06,
|
| 666 |
+
"loss": 0.7369,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 2.296,
|
| 671 |
+
"grad_norm": 0.48636099696159363,
|
| 672 |
+
"learning_rate": 1.5153121567235334e-06,
|
| 673 |
+
"loss": 0.9214,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 2.32,
|
| 678 |
+
"grad_norm": 0.4830661118030548,
|
| 679 |
+
"learning_rate": 1.4143409762051829e-06,
|
| 680 |
+
"loss": 0.8425,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 2.344,
|
| 685 |
+
"grad_norm": 0.42800870537757874,
|
| 686 |
+
"learning_rate": 1.3162943106179748e-06,
|
| 687 |
+
"loss": 0.7417,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 2.368,
|
| 692 |
+
"grad_norm": 0.46301019191741943,
|
| 693 |
+
"learning_rate": 1.2212521282287093e-06,
|
| 694 |
+
"loss": 0.8874,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 2.392,
|
| 699 |
+
"grad_norm": 0.4442095458507538,
|
| 700 |
+
"learning_rate": 1.1292919468045876e-06,
|
| 701 |
+
"loss": 0.8052,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 2.416,
|
| 706 |
+
"grad_norm": 0.49116918444633484,
|
| 707 |
+
"learning_rate": 1.0404887703886252e-06,
|
| 708 |
+
"loss": 0.8252,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 2.44,
|
| 713 |
+
"grad_norm": 0.45165371894836426,
|
| 714 |
+
"learning_rate": 9.549150281252633e-07,
|
| 715 |
+
"loss": 0.7867,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 2.464,
|
| 720 |
+
"grad_norm": 0.4509302079677582,
|
| 721 |
+
"learning_rate": 8.7264051518613e-07,
|
| 722 |
+
"loss": 0.9062,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 2.488,
|
| 727 |
+
"grad_norm": 0.45219430327415466,
|
| 728 |
+
"learning_rate": 7.937323358440935e-07,
|
| 729 |
+
"loss": 0.7844,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 2.512,
|
| 734 |
+
"grad_norm": 0.39615580439567566,
|
| 735 |
+
"learning_rate": 7.182548487420555e-07,
|
| 736 |
+
"loss": 0.7702,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 2.536,
|
| 741 |
+
"grad_norm": 0.5083522796630859,
|
| 742 |
+
"learning_rate": 6.462696144011149e-07,
|
| 743 |
+
"loss": 0.9273,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 2.56,
|
| 748 |
+
"grad_norm": 0.40505877137184143,
|
| 749 |
+
"learning_rate": 5.778353450109286e-07,
|
| 750 |
+
"loss": 0.8128,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 2.584,
|
| 755 |
+
"grad_norm": 0.4423372447490692,
|
| 756 |
+
"learning_rate": 5.130078565432089e-07,
|
| 757 |
+
"loss": 0.7965,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 2.608,
|
| 762 |
+
"grad_norm": 0.448724627494812,
|
| 763 |
+
"learning_rate": 4.5184002322740784e-07,
|
| 764 |
+
"loss": 0.7753,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.632,
|
| 769 |
+
"grad_norm": 0.4123077690601349,
|
| 770 |
+
"learning_rate": 3.9438173442575e-07,
|
| 771 |
+
"loss": 0.8232,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 2.656,
|
| 776 |
+
"grad_norm": 0.4331120550632477,
|
| 777 |
+
"learning_rate": 3.406798539427386e-07,
|
| 778 |
+
"loss": 0.8859,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 2.68,
|
| 783 |
+
"grad_norm": 0.463981956243515,
|
| 784 |
+
"learning_rate": 2.9077818180237693e-07,
|
| 785 |
+
"loss": 0.81,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 2.7039999999999997,
|
| 790 |
+
"grad_norm": 0.4227185547351837,
|
| 791 |
+
"learning_rate": 2.447174185242324e-07,
|
| 792 |
+
"loss": 0.7866,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 2.7279999999999998,
|
| 797 |
+
"grad_norm": 0.4594978392124176,
|
| 798 |
+
"learning_rate": 2.0253513192751374e-07,
|
| 799 |
+
"loss": 0.8428,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 2.752,
|
| 804 |
+
"grad_norm": 0.4640582799911499,
|
| 805 |
+
"learning_rate": 1.6426572649021477e-07,
|
| 806 |
+
"loss": 0.8939,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 2.776,
|
| 811 |
+
"grad_norm": 0.410780668258667,
|
| 812 |
+
"learning_rate": 1.2994041528833267e-07,
|
| 813 |
+
"loss": 0.7411,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 2.8,
|
| 818 |
+
"grad_norm": 0.4083250164985657,
|
| 819 |
+
"learning_rate": 9.958719453803278e-08,
|
| 820 |
+
"loss": 0.8683,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 2.824,
|
| 825 |
+
"grad_norm": 0.36987847089767456,
|
| 826 |
+
"learning_rate": 7.32308207615351e-08,
|
| 827 |
+
"loss": 0.7558,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 2.848,
|
| 832 |
+
"grad_norm": 0.3830074965953827,
|
| 833 |
+
"learning_rate": 5.089279059533658e-08,
|
| 834 |
+
"loss": 0.8281,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 2.872,
|
| 839 |
+
"grad_norm": 0.4141235947608948,
|
| 840 |
+
"learning_rate": 3.25913232572489e-08,
|
| 841 |
+
"loss": 0.8886,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 2.896,
|
| 846 |
+
"grad_norm": 0.3976007103919983,
|
| 847 |
+
"learning_rate": 1.834134568654333e-08,
|
| 848 |
+
"loss": 0.7874,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 2.92,
|
| 853 |
+
"grad_norm": 0.447281152009964,
|
| 854 |
+
"learning_rate": 8.15448036932176e-09,
|
| 855 |
+
"loss": 0.8983,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 2.944,
|
| 860 |
+
"grad_norm": 0.3919880986213684,
|
| 861 |
+
"learning_rate": 2.0390358590538507e-09,
|
| 862 |
+
"loss": 0.6968,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 2.968,
|
| 867 |
+
"grad_norm": 0.42730164527893066,
|
| 868 |
+
"learning_rate": 0.0,
|
| 869 |
+
"loss": 0.8298,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 2.968,
|
| 874 |
+
"step": 123,
|
| 875 |
+
"total_flos": 121724209528832.0,
|
| 876 |
+
"train_loss": 0.9151467346563572,
|
| 877 |
+
"train_runtime": 7021.3239,
|
| 878 |
+
"train_samples_per_second": 1.709,
|
| 879 |
+
"train_steps_per_second": 0.018
|
| 880 |
+
}
|
| 881 |
+
],
|
| 882 |
+
"logging_steps": 1.0,
|
| 883 |
+
"max_steps": 123,
|
| 884 |
+
"num_input_tokens_seen": 0,
|
| 885 |
+
"num_train_epochs": 3,
|
| 886 |
+
"save_steps": 500,
|
| 887 |
+
"stateful_callbacks": {
|
| 888 |
+
"TrainerControl": {
|
| 889 |
+
"args": {
|
| 890 |
+
"should_epoch_stop": false,
|
| 891 |
+
"should_evaluate": false,
|
| 892 |
+
"should_log": false,
|
| 893 |
+
"should_save": true,
|
| 894 |
+
"should_training_stop": true
|
| 895 |
+
},
|
| 896 |
+
"attributes": {}
|
| 897 |
+
}
|
| 898 |
+
},
|
| 899 |
+
"total_flos": 121724209528832.0,
|
| 900 |
+
"train_batch_size": 1,
|
| 901 |
+
"trial_name": null,
|
| 902 |
+
"trial_params": null
|
| 903 |
+
}
|
training_loss.png
ADDED
|