End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +3528 -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_16K
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# seed_code_multiple_samples_random_scale_up_16K
|
| 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_16K
|
|
|
|
| 16 |
|
| 17 |
# seed_code_multiple_samples_random_scale_up_16K
|
| 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_16K dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.992,
|
| 3 |
+
"total_flos": 499815018037248.0,
|
| 4 |
+
"train_loss": 0.8564689170165234,
|
| 5 |
+
"train_runtime": 27758.1426,
|
| 6 |
+
"train_samples_per_second": 1.729,
|
| 7 |
+
"train_steps_per_second": 0.018
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.992,
|
| 3 |
+
"total_flos": 499815018037248.0,
|
| 4 |
+
"train_loss": 0.8564689170165234,
|
| 5 |
+
"train_runtime": 27758.1426,
|
| 6 |
+
"train_samples_per_second": 1.729,
|
| 7 |
+
"train_steps_per_second": 0.018
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3528 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.992,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 498,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.006,
|
| 13 |
+
"grad_norm": 7.031697750091553,
|
| 14 |
+
"learning_rate": 2.0000000000000002e-07,
|
| 15 |
+
"loss": 1.2696,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.012,
|
| 20 |
+
"grad_norm": 6.887118339538574,
|
| 21 |
+
"learning_rate": 4.0000000000000003e-07,
|
| 22 |
+
"loss": 1.2574,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.018,
|
| 27 |
+
"grad_norm": 6.771040439605713,
|
| 28 |
+
"learning_rate": 6.000000000000001e-07,
|
| 29 |
+
"loss": 1.2562,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.024,
|
| 34 |
+
"grad_norm": 6.925063133239746,
|
| 35 |
+
"learning_rate": 8.000000000000001e-07,
|
| 36 |
+
"loss": 1.2938,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.03,
|
| 41 |
+
"grad_norm": 6.506284713745117,
|
| 42 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 43 |
+
"loss": 1.2508,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.036,
|
| 48 |
+
"grad_norm": 6.504903316497803,
|
| 49 |
+
"learning_rate": 1.2000000000000002e-06,
|
| 50 |
+
"loss": 1.2622,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.042,
|
| 55 |
+
"grad_norm": 6.177670478820801,
|
| 56 |
+
"learning_rate": 1.4000000000000001e-06,
|
| 57 |
+
"loss": 1.2409,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.048,
|
| 62 |
+
"grad_norm": 5.105483531951904,
|
| 63 |
+
"learning_rate": 1.6000000000000001e-06,
|
| 64 |
+
"loss": 1.2019,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.054,
|
| 69 |
+
"grad_norm": 4.707829475402832,
|
| 70 |
+
"learning_rate": 1.8000000000000001e-06,
|
| 71 |
+
"loss": 1.1884,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.06,
|
| 76 |
+
"grad_norm": 4.526137351989746,
|
| 77 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 78 |
+
"loss": 1.2281,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.066,
|
| 83 |
+
"grad_norm": 2.691443681716919,
|
| 84 |
+
"learning_rate": 2.2e-06,
|
| 85 |
+
"loss": 1.1239,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.072,
|
| 90 |
+
"grad_norm": 2.7380127906799316,
|
| 91 |
+
"learning_rate": 2.4000000000000003e-06,
|
| 92 |
+
"loss": 1.1911,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.078,
|
| 97 |
+
"grad_norm": 2.5737719535827637,
|
| 98 |
+
"learning_rate": 2.6e-06,
|
| 99 |
+
"loss": 1.1153,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.084,
|
| 104 |
+
"grad_norm": 2.6669070720672607,
|
| 105 |
+
"learning_rate": 2.8000000000000003e-06,
|
| 106 |
+
"loss": 1.1497,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.09,
|
| 111 |
+
"grad_norm": 4.018786430358887,
|
| 112 |
+
"learning_rate": 3e-06,
|
| 113 |
+
"loss": 1.1334,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.096,
|
| 118 |
+
"grad_norm": 4.247231483459473,
|
| 119 |
+
"learning_rate": 3.2000000000000003e-06,
|
| 120 |
+
"loss": 1.1403,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.102,
|
| 125 |
+
"grad_norm": 3.968531847000122,
|
| 126 |
+
"learning_rate": 3.4000000000000005e-06,
|
| 127 |
+
"loss": 1.1283,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.108,
|
| 132 |
+
"grad_norm": 3.5382187366485596,
|
| 133 |
+
"learning_rate": 3.6000000000000003e-06,
|
| 134 |
+
"loss": 1.0746,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.114,
|
| 139 |
+
"grad_norm": 2.893420457839966,
|
| 140 |
+
"learning_rate": 3.8000000000000005e-06,
|
| 141 |
+
"loss": 1.1355,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.12,
|
| 146 |
+
"grad_norm": 2.0976672172546387,
|
| 147 |
+
"learning_rate": 4.000000000000001e-06,
|
| 148 |
+
"loss": 1.0489,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.126,
|
| 153 |
+
"grad_norm": 2.1325271129608154,
|
| 154 |
+
"learning_rate": 4.2000000000000004e-06,
|
| 155 |
+
"loss": 1.0639,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.132,
|
| 160 |
+
"grad_norm": 1.6968716382980347,
|
| 161 |
+
"learning_rate": 4.4e-06,
|
| 162 |
+
"loss": 1.0202,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.138,
|
| 167 |
+
"grad_norm": 1.4321019649505615,
|
| 168 |
+
"learning_rate": 4.600000000000001e-06,
|
| 169 |
+
"loss": 1.029,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.144,
|
| 174 |
+
"grad_norm": 1.4450711011886597,
|
| 175 |
+
"learning_rate": 4.800000000000001e-06,
|
| 176 |
+
"loss": 1.0487,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.15,
|
| 181 |
+
"grad_norm": 1.3008755445480347,
|
| 182 |
+
"learning_rate": 5e-06,
|
| 183 |
+
"loss": 0.996,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.156,
|
| 188 |
+
"grad_norm": 1.0525767803192139,
|
| 189 |
+
"learning_rate": 5.2e-06,
|
| 190 |
+
"loss": 0.9986,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.162,
|
| 195 |
+
"grad_norm": 1.0507460832595825,
|
| 196 |
+
"learning_rate": 5.400000000000001e-06,
|
| 197 |
+
"loss": 1.01,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.168,
|
| 202 |
+
"grad_norm": 1.1463662385940552,
|
| 203 |
+
"learning_rate": 5.600000000000001e-06,
|
| 204 |
+
"loss": 1.022,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.174,
|
| 209 |
+
"grad_norm": 1.0144261121749878,
|
| 210 |
+
"learning_rate": 5.8e-06,
|
| 211 |
+
"loss": 0.9666,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.18,
|
| 216 |
+
"grad_norm": 0.9777807593345642,
|
| 217 |
+
"learning_rate": 6e-06,
|
| 218 |
+
"loss": 1.0246,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.186,
|
| 223 |
+
"grad_norm": 1.0017383098602295,
|
| 224 |
+
"learning_rate": 6.200000000000001e-06,
|
| 225 |
+
"loss": 0.9475,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.192,
|
| 230 |
+
"grad_norm": 0.8886977434158325,
|
| 231 |
+
"learning_rate": 6.4000000000000006e-06,
|
| 232 |
+
"loss": 0.9389,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.198,
|
| 237 |
+
"grad_norm": 0.8426088690757751,
|
| 238 |
+
"learning_rate": 6.600000000000001e-06,
|
| 239 |
+
"loss": 0.9617,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.204,
|
| 244 |
+
"grad_norm": 1.0878757238388062,
|
| 245 |
+
"learning_rate": 6.800000000000001e-06,
|
| 246 |
+
"loss": 0.958,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.21,
|
| 251 |
+
"grad_norm": 1.0810081958770752,
|
| 252 |
+
"learning_rate": 7e-06,
|
| 253 |
+
"loss": 0.967,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.216,
|
| 258 |
+
"grad_norm": 0.9367354512214661,
|
| 259 |
+
"learning_rate": 7.2000000000000005e-06,
|
| 260 |
+
"loss": 0.9741,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.222,
|
| 265 |
+
"grad_norm": 0.7725072503089905,
|
| 266 |
+
"learning_rate": 7.4e-06,
|
| 267 |
+
"loss": 0.9337,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.228,
|
| 272 |
+
"grad_norm": 0.9318351149559021,
|
| 273 |
+
"learning_rate": 7.600000000000001e-06,
|
| 274 |
+
"loss": 0.9611,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.234,
|
| 279 |
+
"grad_norm": 0.902850866317749,
|
| 280 |
+
"learning_rate": 7.800000000000002e-06,
|
| 281 |
+
"loss": 0.9655,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.24,
|
| 286 |
+
"grad_norm": 0.8286356329917908,
|
| 287 |
+
"learning_rate": 8.000000000000001e-06,
|
| 288 |
+
"loss": 0.9412,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.246,
|
| 293 |
+
"grad_norm": 0.7070385217666626,
|
| 294 |
+
"learning_rate": 8.2e-06,
|
| 295 |
+
"loss": 0.9366,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.252,
|
| 300 |
+
"grad_norm": 0.832440972328186,
|
| 301 |
+
"learning_rate": 8.400000000000001e-06,
|
| 302 |
+
"loss": 0.9556,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.258,
|
| 307 |
+
"grad_norm": 0.7998343110084534,
|
| 308 |
+
"learning_rate": 8.6e-06,
|
| 309 |
+
"loss": 0.9534,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.264,
|
| 314 |
+
"grad_norm": 0.8385363817214966,
|
| 315 |
+
"learning_rate": 8.8e-06,
|
| 316 |
+
"loss": 0.9778,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.27,
|
| 321 |
+
"grad_norm": 0.8293184041976929,
|
| 322 |
+
"learning_rate": 9e-06,
|
| 323 |
+
"loss": 0.9147,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.276,
|
| 328 |
+
"grad_norm": 0.9170862436294556,
|
| 329 |
+
"learning_rate": 9.200000000000002e-06,
|
| 330 |
+
"loss": 0.9265,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.282,
|
| 335 |
+
"grad_norm": 0.7676896452903748,
|
| 336 |
+
"learning_rate": 9.4e-06,
|
| 337 |
+
"loss": 0.9426,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.288,
|
| 342 |
+
"grad_norm": 0.9426606297492981,
|
| 343 |
+
"learning_rate": 9.600000000000001e-06,
|
| 344 |
+
"loss": 0.9417,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.294,
|
| 349 |
+
"grad_norm": 0.8821513056755066,
|
| 350 |
+
"learning_rate": 9.800000000000001e-06,
|
| 351 |
+
"loss": 0.9448,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.3,
|
| 356 |
+
"grad_norm": 0.6868188381195068,
|
| 357 |
+
"learning_rate": 1e-05,
|
| 358 |
+
"loss": 0.9279,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.306,
|
| 363 |
+
"grad_norm": 0.9008329510688782,
|
| 364 |
+
"learning_rate": 9.999877063188124e-06,
|
| 365 |
+
"loss": 0.9508,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.312,
|
| 370 |
+
"grad_norm": 0.6640547513961792,
|
| 371 |
+
"learning_rate": 9.999508258797876e-06,
|
| 372 |
+
"loss": 0.9041,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.318,
|
| 377 |
+
"grad_norm": 0.683678388595581,
|
| 378 |
+
"learning_rate": 9.998893604965111e-06,
|
| 379 |
+
"loss": 0.9314,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.324,
|
| 384 |
+
"grad_norm": 0.6909109950065613,
|
| 385 |
+
"learning_rate": 9.998033131915266e-06,
|
| 386 |
+
"loss": 0.9362,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.33,
|
| 391 |
+
"grad_norm": 0.6794642806053162,
|
| 392 |
+
"learning_rate": 9.996926881961862e-06,
|
| 393 |
+
"loss": 0.9242,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.336,
|
| 398 |
+
"grad_norm": 0.745780348777771,
|
| 399 |
+
"learning_rate": 9.995574909504434e-06,
|
| 400 |
+
"loss": 0.9422,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.342,
|
| 405 |
+
"grad_norm": 0.6801639199256897,
|
| 406 |
+
"learning_rate": 9.993977281025862e-06,
|
| 407 |
+
"loss": 0.9283,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.348,
|
| 412 |
+
"grad_norm": 0.7167317271232605,
|
| 413 |
+
"learning_rate": 9.992134075089085e-06,
|
| 414 |
+
"loss": 0.9116,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.354,
|
| 419 |
+
"grad_norm": 0.7170763611793518,
|
| 420 |
+
"learning_rate": 9.990045382333243e-06,
|
| 421 |
+
"loss": 0.8707,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.36,
|
| 426 |
+
"grad_norm": 0.5977501273155212,
|
| 427 |
+
"learning_rate": 9.987711305469232e-06,
|
| 428 |
+
"loss": 0.9255,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.366,
|
| 433 |
+
"grad_norm": 0.6289224028587341,
|
| 434 |
+
"learning_rate": 9.985131959274637e-06,
|
| 435 |
+
"loss": 0.9027,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.372,
|
| 440 |
+
"grad_norm": 0.6277759671211243,
|
| 441 |
+
"learning_rate": 9.982307470588097e-06,
|
| 442 |
+
"loss": 0.9195,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.378,
|
| 447 |
+
"grad_norm": 0.6727122664451599,
|
| 448 |
+
"learning_rate": 9.979237978303066e-06,
|
| 449 |
+
"loss": 0.9432,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.384,
|
| 454 |
+
"grad_norm": 0.6464661955833435,
|
| 455 |
+
"learning_rate": 9.975923633360985e-06,
|
| 456 |
+
"loss": 0.9259,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.39,
|
| 461 |
+
"grad_norm": 0.8382951617240906,
|
| 462 |
+
"learning_rate": 9.972364598743851e-06,
|
| 463 |
+
"loss": 0.8883,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.396,
|
| 468 |
+
"grad_norm": 0.736031174659729,
|
| 469 |
+
"learning_rate": 9.968561049466214e-06,
|
| 470 |
+
"loss": 0.8914,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.402,
|
| 475 |
+
"grad_norm": 0.7064986824989319,
|
| 476 |
+
"learning_rate": 9.96451317256656e-06,
|
| 477 |
+
"loss": 0.8648,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.408,
|
| 482 |
+
"grad_norm": 0.6144806742668152,
|
| 483 |
+
"learning_rate": 9.960221167098124e-06,
|
| 484 |
+
"loss": 0.9126,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.414,
|
| 489 |
+
"grad_norm": 0.7800092101097107,
|
| 490 |
+
"learning_rate": 9.955685244119092e-06,
|
| 491 |
+
"loss": 0.8957,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.42,
|
| 496 |
+
"grad_norm": 0.8123449683189392,
|
| 497 |
+
"learning_rate": 9.950905626682229e-06,
|
| 498 |
+
"loss": 0.8948,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.426,
|
| 503 |
+
"grad_norm": 0.7551453113555908,
|
| 504 |
+
"learning_rate": 9.945882549823906e-06,
|
| 505 |
+
"loss": 0.911,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.432,
|
| 510 |
+
"grad_norm": 0.7735251784324646,
|
| 511 |
+
"learning_rate": 9.940616260552545e-06,
|
| 512 |
+
"loss": 0.8891,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.438,
|
| 517 |
+
"grad_norm": 0.7624951601028442,
|
| 518 |
+
"learning_rate": 9.935107017836472e-06,
|
| 519 |
+
"loss": 0.9046,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.444,
|
| 524 |
+
"grad_norm": 0.7585752010345459,
|
| 525 |
+
"learning_rate": 9.92935509259118e-06,
|
| 526 |
+
"loss": 0.8906,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.45,
|
| 531 |
+
"grad_norm": 0.8881312012672424,
|
| 532 |
+
"learning_rate": 9.92336076766601e-06,
|
| 533 |
+
"loss": 0.9212,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.456,
|
| 538 |
+
"grad_norm": 0.6675351858139038,
|
| 539 |
+
"learning_rate": 9.917124337830242e-06,
|
| 540 |
+
"loss": 0.9124,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.462,
|
| 545 |
+
"grad_norm": 0.7288476228713989,
|
| 546 |
+
"learning_rate": 9.910646109758596e-06,
|
| 547 |
+
"loss": 0.9014,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.468,
|
| 552 |
+
"grad_norm": 0.8076652884483337,
|
| 553 |
+
"learning_rate": 9.903926402016153e-06,
|
| 554 |
+
"loss": 0.8854,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.474,
|
| 559 |
+
"grad_norm": 0.6705262660980225,
|
| 560 |
+
"learning_rate": 9.896965545042692e-06,
|
| 561 |
+
"loss": 0.9108,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.48,
|
| 566 |
+
"grad_norm": 0.957453727722168,
|
| 567 |
+
"learning_rate": 9.889763881136439e-06,
|
| 568 |
+
"loss": 0.904,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.486,
|
| 573 |
+
"grad_norm": 0.687865138053894,
|
| 574 |
+
"learning_rate": 9.882321764437234e-06,
|
| 575 |
+
"loss": 0.8938,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.492,
|
| 580 |
+
"grad_norm": 0.8026799559593201,
|
| 581 |
+
"learning_rate": 9.874639560909118e-06,
|
| 582 |
+
"loss": 0.8863,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.498,
|
| 587 |
+
"grad_norm": 0.8794582486152649,
|
| 588 |
+
"learning_rate": 9.866717648322335e-06,
|
| 589 |
+
"loss": 0.9067,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.504,
|
| 594 |
+
"grad_norm": 0.6872241497039795,
|
| 595 |
+
"learning_rate": 9.858556416234755e-06,
|
| 596 |
+
"loss": 0.8882,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.51,
|
| 601 |
+
"grad_norm": 0.8959775567054749,
|
| 602 |
+
"learning_rate": 9.850156265972722e-06,
|
| 603 |
+
"loss": 0.913,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.516,
|
| 608 |
+
"grad_norm": 0.5751799941062927,
|
| 609 |
+
"learning_rate": 9.841517610611309e-06,
|
| 610 |
+
"loss": 0.9085,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.522,
|
| 615 |
+
"grad_norm": 0.9262533187866211,
|
| 616 |
+
"learning_rate": 9.832640874954017e-06,
|
| 617 |
+
"loss": 0.9203,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.528,
|
| 622 |
+
"grad_norm": 0.659100353717804,
|
| 623 |
+
"learning_rate": 9.82352649551188e-06,
|
| 624 |
+
"loss": 0.8833,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.534,
|
| 629 |
+
"grad_norm": 0.7242835760116577,
|
| 630 |
+
"learning_rate": 9.814174920481999e-06,
|
| 631 |
+
"loss": 0.8802,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.54,
|
| 636 |
+
"grad_norm": 0.8866828083992004,
|
| 637 |
+
"learning_rate": 9.804586609725499e-06,
|
| 638 |
+
"loss": 0.8726,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.546,
|
| 643 |
+
"grad_norm": 0.7923456430435181,
|
| 644 |
+
"learning_rate": 9.794762034744925e-06,
|
| 645 |
+
"loss": 0.9173,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.552,
|
| 650 |
+
"grad_norm": 0.7427409291267395,
|
| 651 |
+
"learning_rate": 9.784701678661045e-06,
|
| 652 |
+
"loss": 0.9242,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.558,
|
| 657 |
+
"grad_norm": 0.6884157061576843,
|
| 658 |
+
"learning_rate": 9.774406036189104e-06,
|
| 659 |
+
"loss": 0.9162,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.564,
|
| 664 |
+
"grad_norm": 0.6347200274467468,
|
| 665 |
+
"learning_rate": 9.763875613614482e-06,
|
| 666 |
+
"loss": 0.8712,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.57,
|
| 671 |
+
"grad_norm": 0.703681230545044,
|
| 672 |
+
"learning_rate": 9.753110928767816e-06,
|
| 673 |
+
"loss": 0.91,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.576,
|
| 678 |
+
"grad_norm": 0.6913872957229614,
|
| 679 |
+
"learning_rate": 9.742112510999516e-06,
|
| 680 |
+
"loss": 0.9004,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.582,
|
| 685 |
+
"grad_norm": 0.5897263884544373,
|
| 686 |
+
"learning_rate": 9.730880901153747e-06,
|
| 687 |
+
"loss": 0.9157,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.588,
|
| 692 |
+
"grad_norm": 0.5855635404586792,
|
| 693 |
+
"learning_rate": 9.719416651541839e-06,
|
| 694 |
+
"loss": 0.9058,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.594,
|
| 699 |
+
"grad_norm": 0.724475622177124,
|
| 700 |
+
"learning_rate": 9.707720325915105e-06,
|
| 701 |
+
"loss": 0.9156,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.6,
|
| 706 |
+
"grad_norm": 0.6259617209434509,
|
| 707 |
+
"learning_rate": 9.69579249943714e-06,
|
| 708 |
+
"loss": 0.9283,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.606,
|
| 713 |
+
"grad_norm": 0.676932156085968,
|
| 714 |
+
"learning_rate": 9.683633758655529e-06,
|
| 715 |
+
"loss": 0.9148,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.612,
|
| 720 |
+
"grad_norm": 0.6588666439056396,
|
| 721 |
+
"learning_rate": 9.671244701472999e-06,
|
| 722 |
+
"loss": 0.8542,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.618,
|
| 727 |
+
"grad_norm": 0.7273979187011719,
|
| 728 |
+
"learning_rate": 9.658625937118033e-06,
|
| 729 |
+
"loss": 0.9185,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.624,
|
| 734 |
+
"grad_norm": 0.605010986328125,
|
| 735 |
+
"learning_rate": 9.645778086114892e-06,
|
| 736 |
+
"loss": 0.9427,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.63,
|
| 741 |
+
"grad_norm": 0.7519787549972534,
|
| 742 |
+
"learning_rate": 9.632701780253111e-06,
|
| 743 |
+
"loss": 0.9034,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.636,
|
| 748 |
+
"grad_norm": 0.6903522610664368,
|
| 749 |
+
"learning_rate": 9.619397662556434e-06,
|
| 750 |
+
"loss": 0.8935,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.642,
|
| 755 |
+
"grad_norm": 0.6054957509040833,
|
| 756 |
+
"learning_rate": 9.605866387251186e-06,
|
| 757 |
+
"loss": 0.8894,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.648,
|
| 762 |
+
"grad_norm": 0.6449054479598999,
|
| 763 |
+
"learning_rate": 9.592108619734107e-06,
|
| 764 |
+
"loss": 0.8794,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.654,
|
| 769 |
+
"grad_norm": 0.6131969094276428,
|
| 770 |
+
"learning_rate": 9.578125036539625e-06,
|
| 771 |
+
"loss": 0.8985,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.66,
|
| 776 |
+
"grad_norm": 0.6487088203430176,
|
| 777 |
+
"learning_rate": 9.563916325306595e-06,
|
| 778 |
+
"loss": 0.9301,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.666,
|
| 783 |
+
"grad_norm": 0.5402405261993408,
|
| 784 |
+
"learning_rate": 9.549483184744483e-06,
|
| 785 |
+
"loss": 0.9235,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.672,
|
| 790 |
+
"grad_norm": 0.5446547269821167,
|
| 791 |
+
"learning_rate": 9.534826324599002e-06,
|
| 792 |
+
"loss": 0.8869,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.678,
|
| 797 |
+
"grad_norm": 0.5393290519714355,
|
| 798 |
+
"learning_rate": 9.519946465617217e-06,
|
| 799 |
+
"loss": 0.891,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.684,
|
| 804 |
+
"grad_norm": 0.6562361717224121,
|
| 805 |
+
"learning_rate": 9.504844339512096e-06,
|
| 806 |
+
"loss": 0.9527,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.69,
|
| 811 |
+
"grad_norm": 0.5437909960746765,
|
| 812 |
+
"learning_rate": 9.489520688926534e-06,
|
| 813 |
+
"loss": 0.9027,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.696,
|
| 818 |
+
"grad_norm": 0.6590492129325867,
|
| 819 |
+
"learning_rate": 9.473976267396831e-06,
|
| 820 |
+
"loss": 0.8903,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.702,
|
| 825 |
+
"grad_norm": 0.6078689694404602,
|
| 826 |
+
"learning_rate": 9.458211839315636e-06,
|
| 827 |
+
"loss": 0.8749,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.708,
|
| 832 |
+
"grad_norm": 0.6383506655693054,
|
| 833 |
+
"learning_rate": 9.442228179894362e-06,
|
| 834 |
+
"loss": 0.8689,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.714,
|
| 839 |
+
"grad_norm": 0.5695559978485107,
|
| 840 |
+
"learning_rate": 9.426026075125062e-06,
|
| 841 |
+
"loss": 0.864,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.72,
|
| 846 |
+
"grad_norm": 0.5810907483100891,
|
| 847 |
+
"learning_rate": 9.409606321741776e-06,
|
| 848 |
+
"loss": 0.8627,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.726,
|
| 853 |
+
"grad_norm": 0.6629945635795593,
|
| 854 |
+
"learning_rate": 9.39296972718136e-06,
|
| 855 |
+
"loss": 0.902,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.732,
|
| 860 |
+
"grad_norm": 0.5847179889678955,
|
| 861 |
+
"learning_rate": 9.376117109543769e-06,
|
| 862 |
+
"loss": 0.8713,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.738,
|
| 867 |
+
"grad_norm": 0.5658993124961853,
|
| 868 |
+
"learning_rate": 9.35904929755184e-06,
|
| 869 |
+
"loss": 0.9075,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.744,
|
| 874 |
+
"grad_norm": 0.5689570903778076,
|
| 875 |
+
"learning_rate": 9.341767130510529e-06,
|
| 876 |
+
"loss": 0.9153,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.75,
|
| 881 |
+
"grad_norm": 0.6111438870429993,
|
| 882 |
+
"learning_rate": 9.324271458265642e-06,
|
| 883 |
+
"loss": 0.9107,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.756,
|
| 888 |
+
"grad_norm": 0.6272052526473999,
|
| 889 |
+
"learning_rate": 9.306563141162046e-06,
|
| 890 |
+
"loss": 0.9211,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.762,
|
| 895 |
+
"grad_norm": 0.6451931595802307,
|
| 896 |
+
"learning_rate": 9.288643050001362e-06,
|
| 897 |
+
"loss": 0.8603,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.768,
|
| 902 |
+
"grad_norm": 0.5918119549751282,
|
| 903 |
+
"learning_rate": 9.270512065999139e-06,
|
| 904 |
+
"loss": 0.8865,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.774,
|
| 909 |
+
"grad_norm": 0.5935030579566956,
|
| 910 |
+
"learning_rate": 9.252171080741525e-06,
|
| 911 |
+
"loss": 0.8983,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.78,
|
| 916 |
+
"grad_norm": 0.7970097064971924,
|
| 917 |
+
"learning_rate": 9.233620996141421e-06,
|
| 918 |
+
"loss": 0.8849,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.786,
|
| 923 |
+
"grad_norm": 0.5275349020957947,
|
| 924 |
+
"learning_rate": 9.214862724394133e-06,
|
| 925 |
+
"loss": 0.885,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.792,
|
| 930 |
+
"grad_norm": 0.7283827066421509,
|
| 931 |
+
"learning_rate": 9.195897187932513e-06,
|
| 932 |
+
"loss": 0.8919,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.798,
|
| 937 |
+
"grad_norm": 0.6388846635818481,
|
| 938 |
+
"learning_rate": 9.176725319381589e-06,
|
| 939 |
+
"loss": 0.8673,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.804,
|
| 944 |
+
"grad_norm": 0.5710157155990601,
|
| 945 |
+
"learning_rate": 9.157348061512728e-06,
|
| 946 |
+
"loss": 0.8724,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.81,
|
| 951 |
+
"grad_norm": 0.7034839391708374,
|
| 952 |
+
"learning_rate": 9.137766367197246e-06,
|
| 953 |
+
"loss": 0.8901,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.816,
|
| 958 |
+
"grad_norm": 0.6445233225822449,
|
| 959 |
+
"learning_rate": 9.117981199359575e-06,
|
| 960 |
+
"loss": 0.881,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.822,
|
| 965 |
+
"grad_norm": 0.5970780253410339,
|
| 966 |
+
"learning_rate": 9.097993530929895e-06,
|
| 967 |
+
"loss": 0.8504,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.828,
|
| 972 |
+
"grad_norm": 0.7257516384124756,
|
| 973 |
+
"learning_rate": 9.077804344796302e-06,
|
| 974 |
+
"loss": 0.8811,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.834,
|
| 979 |
+
"grad_norm": 0.6562220454216003,
|
| 980 |
+
"learning_rate": 9.057414633756466e-06,
|
| 981 |
+
"loss": 0.8868,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.84,
|
| 986 |
+
"grad_norm": 0.7522321939468384,
|
| 987 |
+
"learning_rate": 9.036825400468814e-06,
|
| 988 |
+
"loss": 0.8844,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.846,
|
| 993 |
+
"grad_norm": 0.6761206388473511,
|
| 994 |
+
"learning_rate": 9.016037657403225e-06,
|
| 995 |
+
"loss": 0.8805,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.852,
|
| 1000 |
+
"grad_norm": 0.6708723306655884,
|
| 1001 |
+
"learning_rate": 8.995052426791247e-06,
|
| 1002 |
+
"loss": 0.8913,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.858,
|
| 1007 |
+
"grad_norm": 0.7201263904571533,
|
| 1008 |
+
"learning_rate": 8.973870740575814e-06,
|
| 1009 |
+
"loss": 0.8479,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.864,
|
| 1014 |
+
"grad_norm": 0.7299242615699768,
|
| 1015 |
+
"learning_rate": 8.952493640360518e-06,
|
| 1016 |
+
"loss": 0.9066,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.87,
|
| 1021 |
+
"grad_norm": 0.683100163936615,
|
| 1022 |
+
"learning_rate": 8.930922177358379e-06,
|
| 1023 |
+
"loss": 0.8713,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.876,
|
| 1028 |
+
"grad_norm": 0.699967622756958,
|
| 1029 |
+
"learning_rate": 8.90915741234015e-06,
|
| 1030 |
+
"loss": 0.8871,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.882,
|
| 1035 |
+
"grad_norm": 0.599724292755127,
|
| 1036 |
+
"learning_rate": 8.88720041558216e-06,
|
| 1037 |
+
"loss": 0.8972,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.888,
|
| 1042 |
+
"grad_norm": 0.7004441022872925,
|
| 1043 |
+
"learning_rate": 8.865052266813686e-06,
|
| 1044 |
+
"loss": 0.9008,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.894,
|
| 1049 |
+
"grad_norm": 0.6089579463005066,
|
| 1050 |
+
"learning_rate": 8.842714055163841e-06,
|
| 1051 |
+
"loss": 0.866,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.9,
|
| 1056 |
+
"grad_norm": 0.6796953082084656,
|
| 1057 |
+
"learning_rate": 8.820186879108038e-06,
|
| 1058 |
+
"loss": 0.8995,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.906,
|
| 1063 |
+
"grad_norm": 0.627301812171936,
|
| 1064 |
+
"learning_rate": 8.797471846413957e-06,
|
| 1065 |
+
"loss": 0.881,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.912,
|
| 1070 |
+
"grad_norm": 0.6668423414230347,
|
| 1071 |
+
"learning_rate": 8.77457007408708e-06,
|
| 1072 |
+
"loss": 0.8812,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.918,
|
| 1077 |
+
"grad_norm": 0.6487154364585876,
|
| 1078 |
+
"learning_rate": 8.751482688315758e-06,
|
| 1079 |
+
"loss": 0.8645,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.924,
|
| 1084 |
+
"grad_norm": 0.7148600816726685,
|
| 1085 |
+
"learning_rate": 8.728210824415829e-06,
|
| 1086 |
+
"loss": 0.9134,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.93,
|
| 1091 |
+
"grad_norm": 0.7381123304367065,
|
| 1092 |
+
"learning_rate": 8.704755626774796e-06,
|
| 1093 |
+
"loss": 0.9009,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.936,
|
| 1098 |
+
"grad_norm": 0.6762275099754333,
|
| 1099 |
+
"learning_rate": 8.681118248795548e-06,
|
| 1100 |
+
"loss": 0.8654,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.942,
|
| 1105 |
+
"grad_norm": 0.7460249662399292,
|
| 1106 |
+
"learning_rate": 8.65729985283964e-06,
|
| 1107 |
+
"loss": 0.917,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.948,
|
| 1112 |
+
"grad_norm": 0.695384681224823,
|
| 1113 |
+
"learning_rate": 8.633301610170136e-06,
|
| 1114 |
+
"loss": 0.899,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.954,
|
| 1119 |
+
"grad_norm": 0.6210854649543762,
|
| 1120 |
+
"learning_rate": 8.609124700894017e-06,
|
| 1121 |
+
"loss": 0.8325,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.96,
|
| 1126 |
+
"grad_norm": 0.719469428062439,
|
| 1127 |
+
"learning_rate": 8.584770313904138e-06,
|
| 1128 |
+
"loss": 0.8266,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.966,
|
| 1133 |
+
"grad_norm": 0.5835751891136169,
|
| 1134 |
+
"learning_rate": 8.560239646820779e-06,
|
| 1135 |
+
"loss": 0.895,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.972,
|
| 1140 |
+
"grad_norm": 0.7177435159683228,
|
| 1141 |
+
"learning_rate": 8.535533905932739e-06,
|
| 1142 |
+
"loss": 0.9012,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.978,
|
| 1147 |
+
"grad_norm": 0.6134434342384338,
|
| 1148 |
+
"learning_rate": 8.510654306138028e-06,
|
| 1149 |
+
"loss": 0.8691,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.984,
|
| 1154 |
+
"grad_norm": 0.6205304265022278,
|
| 1155 |
+
"learning_rate": 8.485602070884118e-06,
|
| 1156 |
+
"loss": 0.8629,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.99,
|
| 1161 |
+
"grad_norm": 0.5721279978752136,
|
| 1162 |
+
"learning_rate": 8.460378432107779e-06,
|
| 1163 |
+
"loss": 0.8684,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.996,
|
| 1168 |
+
"grad_norm": 0.6909639239311218,
|
| 1169 |
+
"learning_rate": 8.43498463017451e-06,
|
| 1170 |
+
"loss": 0.9096,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 1.004,
|
| 1175 |
+
"grad_norm": 1.0973442792892456,
|
| 1176 |
+
"learning_rate": 8.409421913817526e-06,
|
| 1177 |
+
"loss": 1.4196,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 1.01,
|
| 1182 |
+
"grad_norm": 0.5294898152351379,
|
| 1183 |
+
"learning_rate": 8.383691540076372e-06,
|
| 1184 |
+
"loss": 0.7903,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 1.016,
|
| 1189 |
+
"grad_norm": 0.6551557183265686,
|
| 1190 |
+
"learning_rate": 8.357794774235094e-06,
|
| 1191 |
+
"loss": 0.8664,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 1.022,
|
| 1196 |
+
"grad_norm": 0.5237061381340027,
|
| 1197 |
+
"learning_rate": 8.331732889760021e-06,
|
| 1198 |
+
"loss": 0.7368,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 1.028,
|
| 1203 |
+
"grad_norm": 0.7365502715110779,
|
| 1204 |
+
"learning_rate": 8.305507168237152e-06,
|
| 1205 |
+
"loss": 0.9978,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 1.034,
|
| 1210 |
+
"grad_norm": 0.5492303371429443,
|
| 1211 |
+
"learning_rate": 8.279118899309121e-06,
|
| 1212 |
+
"loss": 0.7603,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 1.04,
|
| 1217 |
+
"grad_norm": 0.6328789591789246,
|
| 1218 |
+
"learning_rate": 8.252569380611793e-06,
|
| 1219 |
+
"loss": 0.8794,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 1.046,
|
| 1224 |
+
"grad_norm": 0.6356245279312134,
|
| 1225 |
+
"learning_rate": 8.22585991771044e-06,
|
| 1226 |
+
"loss": 0.7344,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 1.052,
|
| 1231 |
+
"grad_norm": 0.6173516511917114,
|
| 1232 |
+
"learning_rate": 8.198991824035546e-06,
|
| 1233 |
+
"loss": 0.7881,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 1.058,
|
| 1238 |
+
"grad_norm": 0.6230927109718323,
|
| 1239 |
+
"learning_rate": 8.171966420818227e-06,
|
| 1240 |
+
"loss": 0.8771,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 1.064,
|
| 1245 |
+
"grad_norm": 0.7857466340065002,
|
| 1246 |
+
"learning_rate": 8.144785037025246e-06,
|
| 1247 |
+
"loss": 0.9245,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 1.07,
|
| 1252 |
+
"grad_norm": 0.6522354483604431,
|
| 1253 |
+
"learning_rate": 8.117449009293668e-06,
|
| 1254 |
+
"loss": 0.7209,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 1.076,
|
| 1259 |
+
"grad_norm": 0.6525973677635193,
|
| 1260 |
+
"learning_rate": 8.089959681865134e-06,
|
| 1261 |
+
"loss": 0.9277,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 1.082,
|
| 1266 |
+
"grad_norm": 0.6244474649429321,
|
| 1267 |
+
"learning_rate": 8.062318406519751e-06,
|
| 1268 |
+
"loss": 0.7997,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 1.088,
|
| 1273 |
+
"grad_norm": 0.6072016954421997,
|
| 1274 |
+
"learning_rate": 8.034526542509629e-06,
|
| 1275 |
+
"loss": 0.792,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 1.094,
|
| 1280 |
+
"grad_norm": 0.6310375332832336,
|
| 1281 |
+
"learning_rate": 8.00658545649203e-06,
|
| 1282 |
+
"loss": 0.9122,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 1.1,
|
| 1287 |
+
"grad_norm": 0.5891605019569397,
|
| 1288 |
+
"learning_rate": 7.978496522462167e-06,
|
| 1289 |
+
"loss": 0.8256,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 1.106,
|
| 1294 |
+
"grad_norm": 0.5977054238319397,
|
| 1295 |
+
"learning_rate": 7.950261121685642e-06,
|
| 1296 |
+
"loss": 0.8305,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 1.112,
|
| 1301 |
+
"grad_norm": 0.5768773555755615,
|
| 1302 |
+
"learning_rate": 7.921880642630514e-06,
|
| 1303 |
+
"loss": 0.8153,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 1.1179999999999999,
|
| 1308 |
+
"grad_norm": 0.6263236999511719,
|
| 1309 |
+
"learning_rate": 7.89335648089903e-06,
|
| 1310 |
+
"loss": 0.803,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 1.124,
|
| 1315 |
+
"grad_norm": 0.5831404328346252,
|
| 1316 |
+
"learning_rate": 7.864690039158991e-06,
|
| 1317 |
+
"loss": 0.8451,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 1.13,
|
| 1322 |
+
"grad_norm": 0.6220493316650391,
|
| 1323 |
+
"learning_rate": 7.835882727074779e-06,
|
| 1324 |
+
"loss": 0.8614,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 1.1360000000000001,
|
| 1329 |
+
"grad_norm": 0.5806083679199219,
|
| 1330 |
+
"learning_rate": 7.806935961238041e-06,
|
| 1331 |
+
"loss": 0.8056,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 1.142,
|
| 1336 |
+
"grad_norm": 0.6333805918693542,
|
| 1337 |
+
"learning_rate": 7.777851165098012e-06,
|
| 1338 |
+
"loss": 0.7189,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 1.148,
|
| 1343 |
+
"grad_norm": 0.7612046003341675,
|
| 1344 |
+
"learning_rate": 7.748629768891542e-06,
|
| 1345 |
+
"loss": 0.9553,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 1.154,
|
| 1350 |
+
"grad_norm": 0.6898669600486755,
|
| 1351 |
+
"learning_rate": 7.719273209572745e-06,
|
| 1352 |
+
"loss": 0.8351,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 1.16,
|
| 1357 |
+
"grad_norm": 0.7063294649124146,
|
| 1358 |
+
"learning_rate": 7.689782930742345e-06,
|
| 1359 |
+
"loss": 0.7966,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 1.166,
|
| 1364 |
+
"grad_norm": 0.5425288677215576,
|
| 1365 |
+
"learning_rate": 7.660160382576683e-06,
|
| 1366 |
+
"loss": 0.8904,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 1.172,
|
| 1371 |
+
"grad_norm": 0.6887763738632202,
|
| 1372 |
+
"learning_rate": 7.630407021756419e-06,
|
| 1373 |
+
"loss": 0.7649,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 1.178,
|
| 1378 |
+
"grad_norm": 0.6101463437080383,
|
| 1379 |
+
"learning_rate": 7.600524311394873e-06,
|
| 1380 |
+
"loss": 0.8274,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 1.184,
|
| 1385 |
+
"grad_norm": 0.5494688749313354,
|
| 1386 |
+
"learning_rate": 7.570513720966108e-06,
|
| 1387 |
+
"loss": 0.7915,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 1.19,
|
| 1392 |
+
"grad_norm": 0.6239190101623535,
|
| 1393 |
+
"learning_rate": 7.540376726232648e-06,
|
| 1394 |
+
"loss": 0.8471,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 1.196,
|
| 1399 |
+
"grad_norm": 0.6039848327636719,
|
| 1400 |
+
"learning_rate": 7.51011480917291e-06,
|
| 1401 |
+
"loss": 0.8698,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 1.202,
|
| 1406 |
+
"grad_norm": 0.6674699187278748,
|
| 1407 |
+
"learning_rate": 7.4797294579083405e-06,
|
| 1408 |
+
"loss": 0.9333,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 1.208,
|
| 1413 |
+
"grad_norm": 0.6486606597900391,
|
| 1414 |
+
"learning_rate": 7.449222166630218e-06,
|
| 1415 |
+
"loss": 0.8904,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 1.214,
|
| 1420 |
+
"grad_norm": 0.4372139275074005,
|
| 1421 |
+
"learning_rate": 7.4185944355261996e-06,
|
| 1422 |
+
"loss": 0.7593,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 1.22,
|
| 1427 |
+
"grad_norm": 0.536348283290863,
|
| 1428 |
+
"learning_rate": 7.3878477707065314e-06,
|
| 1429 |
+
"loss": 0.7174,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 1.226,
|
| 1434 |
+
"grad_norm": 0.6209816336631775,
|
| 1435 |
+
"learning_rate": 7.3569836841299905e-06,
|
| 1436 |
+
"loss": 0.9422,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 1.232,
|
| 1441 |
+
"grad_norm": 0.5448585748672485,
|
| 1442 |
+
"learning_rate": 7.326003693529538e-06,
|
| 1443 |
+
"loss": 0.7474,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 1.238,
|
| 1448 |
+
"grad_norm": 0.6505892872810364,
|
| 1449 |
+
"learning_rate": 7.294909322337689e-06,
|
| 1450 |
+
"loss": 0.8327,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 1.244,
|
| 1455 |
+
"grad_norm": 0.568920373916626,
|
| 1456 |
+
"learning_rate": 7.263702099611586e-06,
|
| 1457 |
+
"loss": 0.8315,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 1.25,
|
| 1462 |
+
"grad_norm": 0.614250659942627,
|
| 1463 |
+
"learning_rate": 7.232383559957815e-06,
|
| 1464 |
+
"loss": 0.8018,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 1.256,
|
| 1469 |
+
"grad_norm": 0.6246547698974609,
|
| 1470 |
+
"learning_rate": 7.200955243456946e-06,
|
| 1471 |
+
"loss": 0.8009,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 1.262,
|
| 1476 |
+
"grad_norm": 0.5993421673774719,
|
| 1477 |
+
"learning_rate": 7.169418695587791e-06,
|
| 1478 |
+
"loss": 0.8355,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 1.268,
|
| 1483 |
+
"grad_norm": 0.5505126714706421,
|
| 1484 |
+
"learning_rate": 7.137775467151411e-06,
|
| 1485 |
+
"loss": 0.8522,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 1.274,
|
| 1490 |
+
"grad_norm": 0.637431800365448,
|
| 1491 |
+
"learning_rate": 7.106027114194856e-06,
|
| 1492 |
+
"loss": 0.8511,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 1.28,
|
| 1497 |
+
"grad_norm": 0.5857645273208618,
|
| 1498 |
+
"learning_rate": 7.0741751979346395e-06,
|
| 1499 |
+
"loss": 0.8573,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 1.286,
|
| 1504 |
+
"grad_norm": 0.6337495446205139,
|
| 1505 |
+
"learning_rate": 7.042221284679982e-06,
|
| 1506 |
+
"loss": 0.8298,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 1.292,
|
| 1511 |
+
"grad_norm": 0.5764760971069336,
|
| 1512 |
+
"learning_rate": 7.010166945755768e-06,
|
| 1513 |
+
"loss": 0.8252,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 1.298,
|
| 1518 |
+
"grad_norm": 0.632314145565033,
|
| 1519 |
+
"learning_rate": 6.978013757425295e-06,
|
| 1520 |
+
"loss": 0.8492,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 1.304,
|
| 1525 |
+
"grad_norm": 0.5820547342300415,
|
| 1526 |
+
"learning_rate": 6.945763300812746e-06,
|
| 1527 |
+
"loss": 0.8621,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 1.31,
|
| 1532 |
+
"grad_norm": 0.5542883276939392,
|
| 1533 |
+
"learning_rate": 6.913417161825449e-06,
|
| 1534 |
+
"loss": 0.7941,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 1.316,
|
| 1539 |
+
"grad_norm": 0.6561512351036072,
|
| 1540 |
+
"learning_rate": 6.880976931075887e-06,
|
| 1541 |
+
"loss": 0.9207,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 1.322,
|
| 1546 |
+
"grad_norm": 0.5089630484580994,
|
| 1547 |
+
"learning_rate": 6.848444203803476e-06,
|
| 1548 |
+
"loss": 0.7331,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 1.328,
|
| 1553 |
+
"grad_norm": 0.6927565932273865,
|
| 1554 |
+
"learning_rate": 6.8158205797961265e-06,
|
| 1555 |
+
"loss": 0.9655,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 1.334,
|
| 1560 |
+
"grad_norm": 0.4950551390647888,
|
| 1561 |
+
"learning_rate": 6.783107663311566e-06,
|
| 1562 |
+
"loss": 0.6941,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 1.34,
|
| 1567 |
+
"grad_norm": 0.6248024702072144,
|
| 1568 |
+
"learning_rate": 6.750307062998462e-06,
|
| 1569 |
+
"loss": 0.8132,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 1.346,
|
| 1574 |
+
"grad_norm": 0.5446671843528748,
|
| 1575 |
+
"learning_rate": 6.717420391817306e-06,
|
| 1576 |
+
"loss": 0.8235,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 1.3519999999999999,
|
| 1581 |
+
"grad_norm": 0.6277297735214233,
|
| 1582 |
+
"learning_rate": 6.684449266961101e-06,
|
| 1583 |
+
"loss": 0.816,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 1.358,
|
| 1588 |
+
"grad_norm": 0.5996410250663757,
|
| 1589 |
+
"learning_rate": 6.651395309775837e-06,
|
| 1590 |
+
"loss": 0.9069,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 1.3639999999999999,
|
| 1595 |
+
"grad_norm": 0.5332024097442627,
|
| 1596 |
+
"learning_rate": 6.618260145680758e-06,
|
| 1597 |
+
"loss": 0.7992,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 1.37,
|
| 1602 |
+
"grad_norm": 0.6639161109924316,
|
| 1603 |
+
"learning_rate": 6.585045404088442e-06,
|
| 1604 |
+
"loss": 0.7207,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 1.376,
|
| 1609 |
+
"grad_norm": 0.5572250485420227,
|
| 1610 |
+
"learning_rate": 6.55175271832466e-06,
|
| 1611 |
+
"loss": 0.8031,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 1.3820000000000001,
|
| 1616 |
+
"grad_norm": 0.6577343940734863,
|
| 1617 |
+
"learning_rate": 6.518383725548074e-06,
|
| 1618 |
+
"loss": 0.8563,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 1.388,
|
| 1623 |
+
"grad_norm": 0.56269770860672,
|
| 1624 |
+
"learning_rate": 6.484940066669718e-06,
|
| 1625 |
+
"loss": 0.8494,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 1.3940000000000001,
|
| 1630 |
+
"grad_norm": 0.5737781524658203,
|
| 1631 |
+
"learning_rate": 6.451423386272312e-06,
|
| 1632 |
+
"loss": 0.8715,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 1.4,
|
| 1637 |
+
"grad_norm": 0.5935752987861633,
|
| 1638 |
+
"learning_rate": 6.417835332529389e-06,
|
| 1639 |
+
"loss": 0.8714,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 1.4060000000000001,
|
| 1644 |
+
"grad_norm": 0.5302621126174927,
|
| 1645 |
+
"learning_rate": 6.384177557124247e-06,
|
| 1646 |
+
"loss": 0.9023,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 1.412,
|
| 1651 |
+
"grad_norm": 0.47902560234069824,
|
| 1652 |
+
"learning_rate": 6.350451715168728e-06,
|
| 1653 |
+
"loss": 0.7481,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 1.418,
|
| 1658 |
+
"grad_norm": 0.6068887114524841,
|
| 1659 |
+
"learning_rate": 6.3166594651218235e-06,
|
| 1660 |
+
"loss": 0.9063,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 1.424,
|
| 1665 |
+
"grad_norm": 0.5201268792152405,
|
| 1666 |
+
"learning_rate": 6.282802468708133e-06,
|
| 1667 |
+
"loss": 0.7979,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 1.43,
|
| 1672 |
+
"grad_norm": 0.5422048568725586,
|
| 1673 |
+
"learning_rate": 6.248882390836135e-06,
|
| 1674 |
+
"loss": 0.9127,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 1.436,
|
| 1679 |
+
"grad_norm": 0.49023619294166565,
|
| 1680 |
+
"learning_rate": 6.21490089951632e-06,
|
| 1681 |
+
"loss": 0.7837,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 1.442,
|
| 1686 |
+
"grad_norm": 0.5470706820487976,
|
| 1687 |
+
"learning_rate": 6.180859665779173e-06,
|
| 1688 |
+
"loss": 0.8533,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 1.448,
|
| 1693 |
+
"grad_norm": 0.5331608653068542,
|
| 1694 |
+
"learning_rate": 6.14676036359299e-06,
|
| 1695 |
+
"loss": 0.8272,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 1.454,
|
| 1700 |
+
"grad_norm": 0.5213180780410767,
|
| 1701 |
+
"learning_rate": 6.112604669781572e-06,
|
| 1702 |
+
"loss": 0.8428,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 1.46,
|
| 1707 |
+
"grad_norm": 0.5773241519927979,
|
| 1708 |
+
"learning_rate": 6.078394263941762e-06,
|
| 1709 |
+
"loss": 0.8013,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 1.466,
|
| 1714 |
+
"grad_norm": 0.5300610661506653,
|
| 1715 |
+
"learning_rate": 6.04413082836085e-06,
|
| 1716 |
+
"loss": 0.8215,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 1.472,
|
| 1721 |
+
"grad_norm": 0.5806800723075867,
|
| 1722 |
+
"learning_rate": 6.009816047933849e-06,
|
| 1723 |
+
"loss": 0.87,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 1.478,
|
| 1728 |
+
"grad_norm": 0.5193670988082886,
|
| 1729 |
+
"learning_rate": 5.975451610080643e-06,
|
| 1730 |
+
"loss": 0.7694,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 1.484,
|
| 1735 |
+
"grad_norm": 0.6043456792831421,
|
| 1736 |
+
"learning_rate": 5.941039204663001e-06,
|
| 1737 |
+
"loss": 0.9321,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 1.49,
|
| 1742 |
+
"grad_norm": 0.5155271291732788,
|
| 1743 |
+
"learning_rate": 5.906580523901493e-06,
|
| 1744 |
+
"loss": 0.7809,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 1.496,
|
| 1749 |
+
"grad_norm": 0.5329350829124451,
|
| 1750 |
+
"learning_rate": 5.872077262292255e-06,
|
| 1751 |
+
"loss": 0.8733,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 1.502,
|
| 1756 |
+
"grad_norm": 0.49170058965682983,
|
| 1757 |
+
"learning_rate": 5.837531116523683e-06,
|
| 1758 |
+
"loss": 0.7802,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 1.508,
|
| 1763 |
+
"grad_norm": 0.5601338744163513,
|
| 1764 |
+
"learning_rate": 5.802943785392986e-06,
|
| 1765 |
+
"loss": 0.8852,
|
| 1766 |
+
"step": 251
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 1.514,
|
| 1770 |
+
"grad_norm": 0.4916960895061493,
|
| 1771 |
+
"learning_rate": 5.768316969722651e-06,
|
| 1772 |
+
"loss": 0.795,
|
| 1773 |
+
"step": 252
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 1.52,
|
| 1777 |
+
"grad_norm": 0.612114429473877,
|
| 1778 |
+
"learning_rate": 5.733652372276809e-06,
|
| 1779 |
+
"loss": 0.8377,
|
| 1780 |
+
"step": 253
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 1.526,
|
| 1784 |
+
"grad_norm": 0.6219832301139832,
|
| 1785 |
+
"learning_rate": 5.698951697677498e-06,
|
| 1786 |
+
"loss": 0.8324,
|
| 1787 |
+
"step": 254
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 1.532,
|
| 1791 |
+
"grad_norm": 0.5465147495269775,
|
| 1792 |
+
"learning_rate": 5.66421665232084e-06,
|
| 1793 |
+
"loss": 0.8394,
|
| 1794 |
+
"step": 255
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 1.538,
|
| 1798 |
+
"grad_norm": 0.7250228524208069,
|
| 1799 |
+
"learning_rate": 5.629448944293128e-06,
|
| 1800 |
+
"loss": 0.8914,
|
| 1801 |
+
"step": 256
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 1.544,
|
| 1805 |
+
"grad_norm": 0.640958309173584,
|
| 1806 |
+
"learning_rate": 5.594650283286835e-06,
|
| 1807 |
+
"loss": 0.8513,
|
| 1808 |
+
"step": 257
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 1.55,
|
| 1812 |
+
"grad_norm": 0.6299832463264465,
|
| 1813 |
+
"learning_rate": 5.559822380516539e-06,
|
| 1814 |
+
"loss": 0.8624,
|
| 1815 |
+
"step": 258
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 1.556,
|
| 1819 |
+
"grad_norm": 0.5859169363975525,
|
| 1820 |
+
"learning_rate": 5.524966948634774e-06,
|
| 1821 |
+
"loss": 0.7434,
|
| 1822 |
+
"step": 259
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 1.562,
|
| 1826 |
+
"grad_norm": 0.5168582797050476,
|
| 1827 |
+
"learning_rate": 5.490085701647805e-06,
|
| 1828 |
+
"loss": 0.8681,
|
| 1829 |
+
"step": 260
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 1.568,
|
| 1833 |
+
"grad_norm": 0.6453350782394409,
|
| 1834 |
+
"learning_rate": 5.4551803548313505e-06,
|
| 1835 |
+
"loss": 0.7842,
|
| 1836 |
+
"step": 261
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 1.5739999999999998,
|
| 1840 |
+
"grad_norm": 0.6329458355903625,
|
| 1841 |
+
"learning_rate": 5.420252624646238e-06,
|
| 1842 |
+
"loss": 0.942,
|
| 1843 |
+
"step": 262
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 1.58,
|
| 1847 |
+
"grad_norm": 0.5038691163063049,
|
| 1848 |
+
"learning_rate": 5.385304228653983e-06,
|
| 1849 |
+
"loss": 0.8119,
|
| 1850 |
+
"step": 263
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 1.5859999999999999,
|
| 1854 |
+
"grad_norm": 0.56325364112854,
|
| 1855 |
+
"learning_rate": 5.350336885432337e-06,
|
| 1856 |
+
"loss": 0.7853,
|
| 1857 |
+
"step": 264
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 1.592,
|
| 1861 |
+
"grad_norm": 0.520606279373169,
|
| 1862 |
+
"learning_rate": 5.315352314490781e-06,
|
| 1863 |
+
"loss": 0.7943,
|
| 1864 |
+
"step": 265
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 1.5979999999999999,
|
| 1868 |
+
"grad_norm": 0.5728681087493896,
|
| 1869 |
+
"learning_rate": 5.2803522361859596e-06,
|
| 1870 |
+
"loss": 0.8226,
|
| 1871 |
+
"step": 266
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 1.604,
|
| 1875 |
+
"grad_norm": 0.567225992679596,
|
| 1876 |
+
"learning_rate": 5.245338371637091e-06,
|
| 1877 |
+
"loss": 0.9019,
|
| 1878 |
+
"step": 267
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 1.6099999999999999,
|
| 1882 |
+
"grad_norm": 0.6226865649223328,
|
| 1883 |
+
"learning_rate": 5.210312442641327e-06,
|
| 1884 |
+
"loss": 0.8341,
|
| 1885 |
+
"step": 268
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 1.616,
|
| 1889 |
+
"grad_norm": 0.5414499044418335,
|
| 1890 |
+
"learning_rate": 5.175276171589082e-06,
|
| 1891 |
+
"loss": 0.8727,
|
| 1892 |
+
"step": 269
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 1.6219999999999999,
|
| 1896 |
+
"grad_norm": 0.5580145120620728,
|
| 1897 |
+
"learning_rate": 5.140231281379345e-06,
|
| 1898 |
+
"loss": 0.8318,
|
| 1899 |
+
"step": 270
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 1.6280000000000001,
|
| 1903 |
+
"grad_norm": 0.4797461926937103,
|
| 1904 |
+
"learning_rate": 5.1051794953349445e-06,
|
| 1905 |
+
"loss": 0.8061,
|
| 1906 |
+
"step": 271
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 1.634,
|
| 1910 |
+
"grad_norm": 0.5352113246917725,
|
| 1911 |
+
"learning_rate": 5.070122537117812e-06,
|
| 1912 |
+
"loss": 0.8135,
|
| 1913 |
+
"step": 272
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 1.6400000000000001,
|
| 1917 |
+
"grad_norm": 0.5719079971313477,
|
| 1918 |
+
"learning_rate": 5.0350621306442185e-06,
|
| 1919 |
+
"loss": 0.897,
|
| 1920 |
+
"step": 273
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 1.646,
|
| 1924 |
+
"grad_norm": 0.43101564049720764,
|
| 1925 |
+
"learning_rate": 5e-06,
|
| 1926 |
+
"loss": 0.7674,
|
| 1927 |
+
"step": 274
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 1.6520000000000001,
|
| 1931 |
+
"grad_norm": 0.5771524310112,
|
| 1932 |
+
"learning_rate": 4.964937869355782e-06,
|
| 1933 |
+
"loss": 0.9136,
|
| 1934 |
+
"step": 275
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 1.658,
|
| 1938 |
+
"grad_norm": 0.4993324875831604,
|
| 1939 |
+
"learning_rate": 4.92987746288219e-06,
|
| 1940 |
+
"loss": 0.7627,
|
| 1941 |
+
"step": 276
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 1.6640000000000001,
|
| 1945 |
+
"grad_norm": 0.5497719645500183,
|
| 1946 |
+
"learning_rate": 4.894820504665056e-06,
|
| 1947 |
+
"loss": 0.8228,
|
| 1948 |
+
"step": 277
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 1.67,
|
| 1952 |
+
"grad_norm": 0.5680533051490784,
|
| 1953 |
+
"learning_rate": 4.859768718620656e-06,
|
| 1954 |
+
"loss": 0.8384,
|
| 1955 |
+
"step": 278
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 1.6760000000000002,
|
| 1959 |
+
"grad_norm": 0.6155795454978943,
|
| 1960 |
+
"learning_rate": 4.82472382841092e-06,
|
| 1961 |
+
"loss": 0.8781,
|
| 1962 |
+
"step": 279
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 1.682,
|
| 1966 |
+
"grad_norm": 0.5147539973258972,
|
| 1967 |
+
"learning_rate": 4.789687557358676e-06,
|
| 1968 |
+
"loss": 0.8741,
|
| 1969 |
+
"step": 280
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 1.688,
|
| 1973 |
+
"grad_norm": 0.45784464478492737,
|
| 1974 |
+
"learning_rate": 4.75466162836291e-06,
|
| 1975 |
+
"loss": 0.7455,
|
| 1976 |
+
"step": 281
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 1.694,
|
| 1980 |
+
"grad_norm": 0.5640389323234558,
|
| 1981 |
+
"learning_rate": 4.719647763814041e-06,
|
| 1982 |
+
"loss": 0.8629,
|
| 1983 |
+
"step": 282
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 1.7,
|
| 1987 |
+
"grad_norm": 0.5667287707328796,
|
| 1988 |
+
"learning_rate": 4.684647685509221e-06,
|
| 1989 |
+
"loss": 0.8333,
|
| 1990 |
+
"step": 283
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 1.706,
|
| 1994 |
+
"grad_norm": 0.5320158004760742,
|
| 1995 |
+
"learning_rate": 4.649663114567663e-06,
|
| 1996 |
+
"loss": 0.7671,
|
| 1997 |
+
"step": 284
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 1.712,
|
| 2001 |
+
"grad_norm": 0.4992581903934479,
|
| 2002 |
+
"learning_rate": 4.61469577134602e-06,
|
| 2003 |
+
"loss": 0.8266,
|
| 2004 |
+
"step": 285
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 1.718,
|
| 2008 |
+
"grad_norm": 0.6357414126396179,
|
| 2009 |
+
"learning_rate": 4.579747375353763e-06,
|
| 2010 |
+
"loss": 0.9051,
|
| 2011 |
+
"step": 286
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 1.724,
|
| 2015 |
+
"grad_norm": 0.4872035086154938,
|
| 2016 |
+
"learning_rate": 4.54481964516865e-06,
|
| 2017 |
+
"loss": 0.7786,
|
| 2018 |
+
"step": 287
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 1.73,
|
| 2022 |
+
"grad_norm": 0.5206552147865295,
|
| 2023 |
+
"learning_rate": 4.509914298352197e-06,
|
| 2024 |
+
"loss": 0.7692,
|
| 2025 |
+
"step": 288
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 1.736,
|
| 2029 |
+
"grad_norm": 0.5295038819313049,
|
| 2030 |
+
"learning_rate": 4.475033051365228e-06,
|
| 2031 |
+
"loss": 0.8352,
|
| 2032 |
+
"step": 289
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 1.742,
|
| 2036 |
+
"grad_norm": 0.5258405804634094,
|
| 2037 |
+
"learning_rate": 4.4401776194834615e-06,
|
| 2038 |
+
"loss": 0.8252,
|
| 2039 |
+
"step": 290
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 1.748,
|
| 2043 |
+
"grad_norm": 0.5072481632232666,
|
| 2044 |
+
"learning_rate": 4.405349716713165e-06,
|
| 2045 |
+
"loss": 0.8048,
|
| 2046 |
+
"step": 291
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 1.754,
|
| 2050 |
+
"grad_norm": 0.5262322425842285,
|
| 2051 |
+
"learning_rate": 4.3705510557068746e-06,
|
| 2052 |
+
"loss": 0.8922,
|
| 2053 |
+
"step": 292
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 1.76,
|
| 2057 |
+
"grad_norm": 0.46330228447914124,
|
| 2058 |
+
"learning_rate": 4.335783347679162e-06,
|
| 2059 |
+
"loss": 0.7183,
|
| 2060 |
+
"step": 293
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 1.766,
|
| 2064 |
+
"grad_norm": 0.6510980129241943,
|
| 2065 |
+
"learning_rate": 4.3010483023225045e-06,
|
| 2066 |
+
"loss": 0.8822,
|
| 2067 |
+
"step": 294
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 1.772,
|
| 2071 |
+
"grad_norm": 0.47852858901023865,
|
| 2072 |
+
"learning_rate": 4.266347627723192e-06,
|
| 2073 |
+
"loss": 0.7692,
|
| 2074 |
+
"step": 295
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 1.778,
|
| 2078 |
+
"grad_norm": 0.5477906465530396,
|
| 2079 |
+
"learning_rate": 4.231683030277349e-06,
|
| 2080 |
+
"loss": 0.8841,
|
| 2081 |
+
"step": 296
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 1.784,
|
| 2085 |
+
"grad_norm": 0.5225306749343872,
|
| 2086 |
+
"learning_rate": 4.197056214607016e-06,
|
| 2087 |
+
"loss": 0.7784,
|
| 2088 |
+
"step": 297
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 1.79,
|
| 2092 |
+
"grad_norm": 0.6084046363830566,
|
| 2093 |
+
"learning_rate": 4.162468883476319e-06,
|
| 2094 |
+
"loss": 0.9245,
|
| 2095 |
+
"step": 298
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 1.796,
|
| 2099 |
+
"grad_norm": 0.4767346978187561,
|
| 2100 |
+
"learning_rate": 4.1279227377077465e-06,
|
| 2101 |
+
"loss": 0.799,
|
| 2102 |
+
"step": 299
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 1.802,
|
| 2106 |
+
"grad_norm": 0.4934868812561035,
|
| 2107 |
+
"learning_rate": 4.0934194760985095e-06,
|
| 2108 |
+
"loss": 0.7813,
|
| 2109 |
+
"step": 300
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 1.808,
|
| 2113 |
+
"grad_norm": 0.5745190382003784,
|
| 2114 |
+
"learning_rate": 4.058960795337001e-06,
|
| 2115 |
+
"loss": 0.8129,
|
| 2116 |
+
"step": 301
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 1.814,
|
| 2120 |
+
"grad_norm": 0.618204653263092,
|
| 2121 |
+
"learning_rate": 4.02454838991936e-06,
|
| 2122 |
+
"loss": 0.7941,
|
| 2123 |
+
"step": 302
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 1.8199999999999998,
|
| 2127 |
+
"grad_norm": 0.5389032363891602,
|
| 2128 |
+
"learning_rate": 3.990183952066151e-06,
|
| 2129 |
+
"loss": 0.8791,
|
| 2130 |
+
"step": 303
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 1.826,
|
| 2134 |
+
"grad_norm": 0.515533983707428,
|
| 2135 |
+
"learning_rate": 3.955869171639151e-06,
|
| 2136 |
+
"loss": 0.771,
|
| 2137 |
+
"step": 304
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 1.8319999999999999,
|
| 2141 |
+
"grad_norm": 0.5190464854240417,
|
| 2142 |
+
"learning_rate": 3.921605736058238e-06,
|
| 2143 |
+
"loss": 0.8339,
|
| 2144 |
+
"step": 305
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 1.838,
|
| 2148 |
+
"grad_norm": 0.547839343547821,
|
| 2149 |
+
"learning_rate": 3.887395330218429e-06,
|
| 2150 |
+
"loss": 0.8521,
|
| 2151 |
+
"step": 306
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 1.8439999999999999,
|
| 2155 |
+
"grad_norm": 0.5869026780128479,
|
| 2156 |
+
"learning_rate": 3.853239636407012e-06,
|
| 2157 |
+
"loss": 0.8309,
|
| 2158 |
+
"step": 307
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 1.85,
|
| 2162 |
+
"grad_norm": 0.4525587856769562,
|
| 2163 |
+
"learning_rate": 3.81914033422083e-06,
|
| 2164 |
+
"loss": 0.7261,
|
| 2165 |
+
"step": 308
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 1.8559999999999999,
|
| 2169 |
+
"grad_norm": 0.49729108810424805,
|
| 2170 |
+
"learning_rate": 3.7850991004836813e-06,
|
| 2171 |
+
"loss": 0.8609,
|
| 2172 |
+
"step": 309
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 1.862,
|
| 2176 |
+
"grad_norm": 0.5660340189933777,
|
| 2177 |
+
"learning_rate": 3.751117609163865e-06,
|
| 2178 |
+
"loss": 0.8973,
|
| 2179 |
+
"step": 310
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 1.8679999999999999,
|
| 2183 |
+
"grad_norm": 0.48715630173683167,
|
| 2184 |
+
"learning_rate": 3.7171975312918674e-06,
|
| 2185 |
+
"loss": 0.7725,
|
| 2186 |
+
"step": 311
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 1.874,
|
| 2190 |
+
"grad_norm": 0.5296438336372375,
|
| 2191 |
+
"learning_rate": 3.683340534878176e-06,
|
| 2192 |
+
"loss": 0.7935,
|
| 2193 |
+
"step": 312
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 1.88,
|
| 2197 |
+
"grad_norm": 0.4918104410171509,
|
| 2198 |
+
"learning_rate": 3.6495482848312745e-06,
|
| 2199 |
+
"loss": 0.8476,
|
| 2200 |
+
"step": 313
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 1.8860000000000001,
|
| 2204 |
+
"grad_norm": 0.5101162791252136,
|
| 2205 |
+
"learning_rate": 3.6158224428757538e-06,
|
| 2206 |
+
"loss": 0.8902,
|
| 2207 |
+
"step": 314
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 1.892,
|
| 2211 |
+
"grad_norm": 0.5076822638511658,
|
| 2212 |
+
"learning_rate": 3.5821646674706124e-06,
|
| 2213 |
+
"loss": 0.851,
|
| 2214 |
+
"step": 315
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 1.8980000000000001,
|
| 2218 |
+
"grad_norm": 0.48573198914527893,
|
| 2219 |
+
"learning_rate": 3.5485766137276894e-06,
|
| 2220 |
+
"loss": 0.8573,
|
| 2221 |
+
"step": 316
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 1.904,
|
| 2225 |
+
"grad_norm": 0.423879474401474,
|
| 2226 |
+
"learning_rate": 3.5150599333302826e-06,
|
| 2227 |
+
"loss": 0.7711,
|
| 2228 |
+
"step": 317
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 1.9100000000000001,
|
| 2232 |
+
"grad_norm": 0.43153077363967896,
|
| 2233 |
+
"learning_rate": 3.4816162744519266e-06,
|
| 2234 |
+
"loss": 0.7175,
|
| 2235 |
+
"step": 318
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 1.916,
|
| 2239 |
+
"grad_norm": 0.5034720301628113,
|
| 2240 |
+
"learning_rate": 3.4482472816753404e-06,
|
| 2241 |
+
"loss": 0.8976,
|
| 2242 |
+
"step": 319
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 1.9220000000000002,
|
| 2246 |
+
"grad_norm": 0.529129683971405,
|
| 2247 |
+
"learning_rate": 3.4149545959115604e-06,
|
| 2248 |
+
"loss": 0.8046,
|
| 2249 |
+
"step": 320
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 1.928,
|
| 2253 |
+
"grad_norm": 0.5979866981506348,
|
| 2254 |
+
"learning_rate": 3.3817398543192426e-06,
|
| 2255 |
+
"loss": 0.872,
|
| 2256 |
+
"step": 321
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 1.9340000000000002,
|
| 2260 |
+
"grad_norm": 0.4693806767463684,
|
| 2261 |
+
"learning_rate": 3.3486046902241663e-06,
|
| 2262 |
+
"loss": 0.8611,
|
| 2263 |
+
"step": 322
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 1.94,
|
| 2267 |
+
"grad_norm": 0.4347771406173706,
|
| 2268 |
+
"learning_rate": 3.3155507330389004e-06,
|
| 2269 |
+
"loss": 0.7822,
|
| 2270 |
+
"step": 323
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 1.946,
|
| 2274 |
+
"grad_norm": 0.5176924467086792,
|
| 2275 |
+
"learning_rate": 3.2825796081826943e-06,
|
| 2276 |
+
"loss": 0.8046,
|
| 2277 |
+
"step": 324
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 1.952,
|
| 2281 |
+
"grad_norm": 0.5300335884094238,
|
| 2282 |
+
"learning_rate": 3.2496929370015383e-06,
|
| 2283 |
+
"loss": 0.8355,
|
| 2284 |
+
"step": 325
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 1.958,
|
| 2288 |
+
"grad_norm": 0.4729841649532318,
|
| 2289 |
+
"learning_rate": 3.216892336688435e-06,
|
| 2290 |
+
"loss": 0.8173,
|
| 2291 |
+
"step": 326
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 1.964,
|
| 2295 |
+
"grad_norm": 0.4969511330127716,
|
| 2296 |
+
"learning_rate": 3.184179420203877e-06,
|
| 2297 |
+
"loss": 0.8948,
|
| 2298 |
+
"step": 327
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 1.97,
|
| 2302 |
+
"grad_norm": 0.5224483013153076,
|
| 2303 |
+
"learning_rate": 3.1515557961965254e-06,
|
| 2304 |
+
"loss": 0.779,
|
| 2305 |
+
"step": 328
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 1.976,
|
| 2309 |
+
"grad_norm": 0.4701511561870575,
|
| 2310 |
+
"learning_rate": 3.119023068924115e-06,
|
| 2311 |
+
"loss": 0.8453,
|
| 2312 |
+
"step": 329
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 1.982,
|
| 2316 |
+
"grad_norm": 0.44776278734207153,
|
| 2317 |
+
"learning_rate": 3.0865828381745515e-06,
|
| 2318 |
+
"loss": 0.8481,
|
| 2319 |
+
"step": 330
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 1.988,
|
| 2323 |
+
"grad_norm": 0.4345719814300537,
|
| 2324 |
+
"learning_rate": 3.0542366991872546e-06,
|
| 2325 |
+
"loss": 0.7723,
|
| 2326 |
+
"step": 331
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 1.994,
|
| 2330 |
+
"grad_norm": 0.5247130393981934,
|
| 2331 |
+
"learning_rate": 3.021986242574707e-06,
|
| 2332 |
+
"loss": 0.9373,
|
| 2333 |
+
"step": 332
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 2.002,
|
| 2337 |
+
"grad_norm": 0.9623157978057861,
|
| 2338 |
+
"learning_rate": 2.989833054244232e-06,
|
| 2339 |
+
"loss": 1.2604,
|
| 2340 |
+
"step": 333
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 2.008,
|
| 2344 |
+
"grad_norm": 0.454515278339386,
|
| 2345 |
+
"learning_rate": 2.95777871532002e-06,
|
| 2346 |
+
"loss": 0.7464,
|
| 2347 |
+
"step": 334
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 2.014,
|
| 2351 |
+
"grad_norm": 0.45794516801834106,
|
| 2352 |
+
"learning_rate": 2.9258248020653617e-06,
|
| 2353 |
+
"loss": 0.7502,
|
| 2354 |
+
"step": 335
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 2.02,
|
| 2358 |
+
"grad_norm": 0.4778282344341278,
|
| 2359 |
+
"learning_rate": 2.893972885805148e-06,
|
| 2360 |
+
"loss": 0.8084,
|
| 2361 |
+
"step": 336
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 2.026,
|
| 2365 |
+
"grad_norm": 0.5253900289535522,
|
| 2366 |
+
"learning_rate": 2.862224532848591e-06,
|
| 2367 |
+
"loss": 0.7463,
|
| 2368 |
+
"step": 337
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 2.032,
|
| 2372 |
+
"grad_norm": 0.46551772952079773,
|
| 2373 |
+
"learning_rate": 2.83058130441221e-06,
|
| 2374 |
+
"loss": 0.7751,
|
| 2375 |
+
"step": 338
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 2.038,
|
| 2379 |
+
"grad_norm": 0.5346385836601257,
|
| 2380 |
+
"learning_rate": 2.799044756543054e-06,
|
| 2381 |
+
"loss": 0.7935,
|
| 2382 |
+
"step": 339
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 2.044,
|
| 2386 |
+
"grad_norm": 0.45891788601875305,
|
| 2387 |
+
"learning_rate": 2.7676164400421864e-06,
|
| 2388 |
+
"loss": 0.7491,
|
| 2389 |
+
"step": 340
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 2.05,
|
| 2393 |
+
"grad_norm": 0.5041545629501343,
|
| 2394 |
+
"learning_rate": 2.7362979003884154e-06,
|
| 2395 |
+
"loss": 0.8321,
|
| 2396 |
+
"step": 341
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 2.056,
|
| 2400 |
+
"grad_norm": 0.452737033367157,
|
| 2401 |
+
"learning_rate": 2.705090677662311e-06,
|
| 2402 |
+
"loss": 0.7378,
|
| 2403 |
+
"step": 342
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 2.062,
|
| 2407 |
+
"grad_norm": 0.5380454659461975,
|
| 2408 |
+
"learning_rate": 2.6739963064704634e-06,
|
| 2409 |
+
"loss": 0.9362,
|
| 2410 |
+
"step": 343
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 2.068,
|
| 2414 |
+
"grad_norm": 0.47858721017837524,
|
| 2415 |
+
"learning_rate": 2.6430163158700116e-06,
|
| 2416 |
+
"loss": 0.7629,
|
| 2417 |
+
"step": 344
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 2.074,
|
| 2421 |
+
"grad_norm": 0.44490736722946167,
|
| 2422 |
+
"learning_rate": 2.61215222929347e-06,
|
| 2423 |
+
"loss": 0.6881,
|
| 2424 |
+
"step": 345
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 2.08,
|
| 2428 |
+
"grad_norm": 0.5407552719116211,
|
| 2429 |
+
"learning_rate": 2.5814055644738013e-06,
|
| 2430 |
+
"loss": 0.8796,
|
| 2431 |
+
"step": 346
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 2.086,
|
| 2435 |
+
"grad_norm": 0.5123006701469421,
|
| 2436 |
+
"learning_rate": 2.5507778333697817e-06,
|
| 2437 |
+
"loss": 0.7191,
|
| 2438 |
+
"step": 347
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 2.092,
|
| 2442 |
+
"grad_norm": 0.45387887954711914,
|
| 2443 |
+
"learning_rate": 2.520270542091663e-06,
|
| 2444 |
+
"loss": 0.7626,
|
| 2445 |
+
"step": 348
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 2.098,
|
| 2449 |
+
"grad_norm": 0.48711925745010376,
|
| 2450 |
+
"learning_rate": 2.4898851908270903e-06,
|
| 2451 |
+
"loss": 0.804,
|
| 2452 |
+
"step": 349
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 2.104,
|
| 2456 |
+
"grad_norm": 0.4527442157268524,
|
| 2457 |
+
"learning_rate": 2.4596232737673544e-06,
|
| 2458 |
+
"loss": 0.7554,
|
| 2459 |
+
"step": 350
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 2.11,
|
| 2463 |
+
"grad_norm": 0.45920926332473755,
|
| 2464 |
+
"learning_rate": 2.429486279033892e-06,
|
| 2465 |
+
"loss": 0.7417,
|
| 2466 |
+
"step": 351
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 2.116,
|
| 2470 |
+
"grad_norm": 0.4968525767326355,
|
| 2471 |
+
"learning_rate": 2.3994756886051267e-06,
|
| 2472 |
+
"loss": 0.8689,
|
| 2473 |
+
"step": 352
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 2.122,
|
| 2477 |
+
"grad_norm": 0.4496273994445801,
|
| 2478 |
+
"learning_rate": 2.3695929782435845e-06,
|
| 2479 |
+
"loss": 0.7424,
|
| 2480 |
+
"step": 353
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 2.128,
|
| 2484 |
+
"grad_norm": 0.48898282647132874,
|
| 2485 |
+
"learning_rate": 2.339839617423318e-06,
|
| 2486 |
+
"loss": 0.8748,
|
| 2487 |
+
"step": 354
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 2.134,
|
| 2491 |
+
"grad_norm": 0.43496692180633545,
|
| 2492 |
+
"learning_rate": 2.3102170692576593e-06,
|
| 2493 |
+
"loss": 0.6957,
|
| 2494 |
+
"step": 355
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 2.14,
|
| 2498 |
+
"grad_norm": 0.5999041199684143,
|
| 2499 |
+
"learning_rate": 2.280726790427258e-06,
|
| 2500 |
+
"loss": 0.8587,
|
| 2501 |
+
"step": 356
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 2.146,
|
| 2505 |
+
"grad_norm": 0.44731348752975464,
|
| 2506 |
+
"learning_rate": 2.2513702311084595e-06,
|
| 2507 |
+
"loss": 0.7431,
|
| 2508 |
+
"step": 357
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 2.152,
|
| 2512 |
+
"grad_norm": 0.5178326368331909,
|
| 2513 |
+
"learning_rate": 2.2221488349019903e-06,
|
| 2514 |
+
"loss": 0.8245,
|
| 2515 |
+
"step": 358
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 2.158,
|
| 2519 |
+
"grad_norm": 0.4318412244319916,
|
| 2520 |
+
"learning_rate": 2.1930640387619616e-06,
|
| 2521 |
+
"loss": 0.7456,
|
| 2522 |
+
"step": 359
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 2.164,
|
| 2526 |
+
"grad_norm": 0.4501084089279175,
|
| 2527 |
+
"learning_rate": 2.1641172729252206e-06,
|
| 2528 |
+
"loss": 0.79,
|
| 2529 |
+
"step": 360
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 2.17,
|
| 2533 |
+
"grad_norm": 0.45479288697242737,
|
| 2534 |
+
"learning_rate": 2.1353099608410095e-06,
|
| 2535 |
+
"loss": 0.6949,
|
| 2536 |
+
"step": 361
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 2.176,
|
| 2540 |
+
"grad_norm": 0.5368492007255554,
|
| 2541 |
+
"learning_rate": 2.1066435191009717e-06,
|
| 2542 |
+
"loss": 0.8474,
|
| 2543 |
+
"step": 362
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 2.182,
|
| 2547 |
+
"grad_norm": 0.4430352449417114,
|
| 2548 |
+
"learning_rate": 2.078119357369487e-06,
|
| 2549 |
+
"loss": 0.7613,
|
| 2550 |
+
"step": 363
|
| 2551 |
+
},
|
| 2552 |
+
{
|
| 2553 |
+
"epoch": 2.188,
|
| 2554 |
+
"grad_norm": 0.3970995545387268,
|
| 2555 |
+
"learning_rate": 2.04973887831436e-06,
|
| 2556 |
+
"loss": 0.7985,
|
| 2557 |
+
"step": 364
|
| 2558 |
+
},
|
| 2559 |
+
{
|
| 2560 |
+
"epoch": 2.194,
|
| 2561 |
+
"grad_norm": 0.47133341431617737,
|
| 2562 |
+
"learning_rate": 2.0215034775378336e-06,
|
| 2563 |
+
"loss": 0.7873,
|
| 2564 |
+
"step": 365
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 2.2,
|
| 2568 |
+
"grad_norm": 0.503981351852417,
|
| 2569 |
+
"learning_rate": 1.9934145435079705e-06,
|
| 2570 |
+
"loss": 0.8465,
|
| 2571 |
+
"step": 366
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 2.206,
|
| 2575 |
+
"grad_norm": 0.41882044076919556,
|
| 2576 |
+
"learning_rate": 1.965473457490372e-06,
|
| 2577 |
+
"loss": 0.7078,
|
| 2578 |
+
"step": 367
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 2.212,
|
| 2582 |
+
"grad_norm": 0.4320144057273865,
|
| 2583 |
+
"learning_rate": 1.9376815934802496e-06,
|
| 2584 |
+
"loss": 0.7788,
|
| 2585 |
+
"step": 368
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 2.218,
|
| 2589 |
+
"grad_norm": 0.5286938548088074,
|
| 2590 |
+
"learning_rate": 1.9100403181348687e-06,
|
| 2591 |
+
"loss": 0.8697,
|
| 2592 |
+
"step": 369
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 2.224,
|
| 2596 |
+
"grad_norm": 0.44443029165267944,
|
| 2597 |
+
"learning_rate": 1.8825509907063328e-06,
|
| 2598 |
+
"loss": 0.7119,
|
| 2599 |
+
"step": 370
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 2.23,
|
| 2603 |
+
"grad_norm": 0.5040541291236877,
|
| 2604 |
+
"learning_rate": 1.8552149629747557e-06,
|
| 2605 |
+
"loss": 0.7846,
|
| 2606 |
+
"step": 371
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 2.2359999999999998,
|
| 2610 |
+
"grad_norm": 0.4279659390449524,
|
| 2611 |
+
"learning_rate": 1.8280335791817733e-06,
|
| 2612 |
+
"loss": 0.8005,
|
| 2613 |
+
"step": 372
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 2.242,
|
| 2617 |
+
"grad_norm": 0.4774853587150574,
|
| 2618 |
+
"learning_rate": 1.8010081759644538e-06,
|
| 2619 |
+
"loss": 0.8352,
|
| 2620 |
+
"step": 373
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 2.248,
|
| 2624 |
+
"grad_norm": 0.4227093756198883,
|
| 2625 |
+
"learning_rate": 1.7741400822895633e-06,
|
| 2626 |
+
"loss": 0.8064,
|
| 2627 |
+
"step": 374
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 2.254,
|
| 2631 |
+
"grad_norm": 0.4951332211494446,
|
| 2632 |
+
"learning_rate": 1.747430619388209e-06,
|
| 2633 |
+
"loss": 0.8362,
|
| 2634 |
+
"step": 375
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 2.26,
|
| 2638 |
+
"grad_norm": 0.4470813274383545,
|
| 2639 |
+
"learning_rate": 1.7208811006908798e-06,
|
| 2640 |
+
"loss": 0.8408,
|
| 2641 |
+
"step": 376
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 2.266,
|
| 2645 |
+
"grad_norm": 0.3740614354610443,
|
| 2646 |
+
"learning_rate": 1.6944928317628512e-06,
|
| 2647 |
+
"loss": 0.7427,
|
| 2648 |
+
"step": 377
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 2.2720000000000002,
|
| 2652 |
+
"grad_norm": 0.4321645200252533,
|
| 2653 |
+
"learning_rate": 1.6682671102399806e-06,
|
| 2654 |
+
"loss": 0.8121,
|
| 2655 |
+
"step": 378
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 2.278,
|
| 2659 |
+
"grad_norm": 0.43954160809516907,
|
| 2660 |
+
"learning_rate": 1.642205225764908e-06,
|
| 2661 |
+
"loss": 0.7566,
|
| 2662 |
+
"step": 379
|
| 2663 |
+
},
|
| 2664 |
+
{
|
| 2665 |
+
"epoch": 2.284,
|
| 2666 |
+
"grad_norm": 0.47293248772621155,
|
| 2667 |
+
"learning_rate": 1.6163084599236278e-06,
|
| 2668 |
+
"loss": 0.8505,
|
| 2669 |
+
"step": 380
|
| 2670 |
+
},
|
| 2671 |
+
{
|
| 2672 |
+
"epoch": 2.29,
|
| 2673 |
+
"grad_norm": 0.44587525725364685,
|
| 2674 |
+
"learning_rate": 1.5905780861824748e-06,
|
| 2675 |
+
"loss": 0.7285,
|
| 2676 |
+
"step": 381
|
| 2677 |
+
},
|
| 2678 |
+
{
|
| 2679 |
+
"epoch": 2.296,
|
| 2680 |
+
"grad_norm": 0.4518946707248688,
|
| 2681 |
+
"learning_rate": 1.5650153698254916e-06,
|
| 2682 |
+
"loss": 0.779,
|
| 2683 |
+
"step": 382
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"epoch": 2.302,
|
| 2687 |
+
"grad_norm": 0.4540093243122101,
|
| 2688 |
+
"learning_rate": 1.5396215678922222e-06,
|
| 2689 |
+
"loss": 0.8963,
|
| 2690 |
+
"step": 383
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 2.308,
|
| 2694 |
+
"grad_norm": 0.42568331956863403,
|
| 2695 |
+
"learning_rate": 1.514397929115884e-06,
|
| 2696 |
+
"loss": 0.6954,
|
| 2697 |
+
"step": 384
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 2.314,
|
| 2701 |
+
"grad_norm": 0.44443783164024353,
|
| 2702 |
+
"learning_rate": 1.4893456938619743e-06,
|
| 2703 |
+
"loss": 0.8091,
|
| 2704 |
+
"step": 385
|
| 2705 |
+
},
|
| 2706 |
+
{
|
| 2707 |
+
"epoch": 2.32,
|
| 2708 |
+
"grad_norm": 0.45444992184638977,
|
| 2709 |
+
"learning_rate": 1.4644660940672628e-06,
|
| 2710 |
+
"loss": 0.7894,
|
| 2711 |
+
"step": 386
|
| 2712 |
+
},
|
| 2713 |
+
{
|
| 2714 |
+
"epoch": 2.326,
|
| 2715 |
+
"grad_norm": 0.3983505666255951,
|
| 2716 |
+
"learning_rate": 1.439760353179223e-06,
|
| 2717 |
+
"loss": 0.7593,
|
| 2718 |
+
"step": 387
|
| 2719 |
+
},
|
| 2720 |
+
{
|
| 2721 |
+
"epoch": 2.332,
|
| 2722 |
+
"grad_norm": 0.3989236056804657,
|
| 2723 |
+
"learning_rate": 1.4152296860958641e-06,
|
| 2724 |
+
"loss": 0.8326,
|
| 2725 |
+
"step": 388
|
| 2726 |
+
},
|
| 2727 |
+
{
|
| 2728 |
+
"epoch": 2.338,
|
| 2729 |
+
"grad_norm": 0.4200502038002014,
|
| 2730 |
+
"learning_rate": 1.3908752991059854e-06,
|
| 2731 |
+
"loss": 0.8052,
|
| 2732 |
+
"step": 389
|
| 2733 |
+
},
|
| 2734 |
+
{
|
| 2735 |
+
"epoch": 2.344,
|
| 2736 |
+
"grad_norm": 0.44380584359169006,
|
| 2737 |
+
"learning_rate": 1.3666983898298659e-06,
|
| 2738 |
+
"loss": 0.8043,
|
| 2739 |
+
"step": 390
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 2.35,
|
| 2743 |
+
"grad_norm": 0.3878370225429535,
|
| 2744 |
+
"learning_rate": 1.3427001471603623e-06,
|
| 2745 |
+
"loss": 0.7374,
|
| 2746 |
+
"step": 391
|
| 2747 |
+
},
|
| 2748 |
+
{
|
| 2749 |
+
"epoch": 2.356,
|
| 2750 |
+
"grad_norm": 0.417605996131897,
|
| 2751 |
+
"learning_rate": 1.3188817512044544e-06,
|
| 2752 |
+
"loss": 0.871,
|
| 2753 |
+
"step": 392
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"epoch": 2.362,
|
| 2757 |
+
"grad_norm": 0.3884265720844269,
|
| 2758 |
+
"learning_rate": 1.2952443732252058e-06,
|
| 2759 |
+
"loss": 0.7358,
|
| 2760 |
+
"step": 393
|
| 2761 |
+
},
|
| 2762 |
+
{
|
| 2763 |
+
"epoch": 2.368,
|
| 2764 |
+
"grad_norm": 0.3953470289707184,
|
| 2765 |
+
"learning_rate": 1.2717891755841722e-06,
|
| 2766 |
+
"loss": 0.7017,
|
| 2767 |
+
"step": 394
|
| 2768 |
+
},
|
| 2769 |
+
{
|
| 2770 |
+
"epoch": 2.374,
|
| 2771 |
+
"grad_norm": 0.47011804580688477,
|
| 2772 |
+
"learning_rate": 1.2485173116842432e-06,
|
| 2773 |
+
"loss": 0.8144,
|
| 2774 |
+
"step": 395
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 2.38,
|
| 2778 |
+
"grad_norm": 0.43607431650161743,
|
| 2779 |
+
"learning_rate": 1.225429925912921e-06,
|
| 2780 |
+
"loss": 0.7471,
|
| 2781 |
+
"step": 396
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 2.386,
|
| 2785 |
+
"grad_norm": 0.4099930226802826,
|
| 2786 |
+
"learning_rate": 1.2025281535860433e-06,
|
| 2787 |
+
"loss": 0.8123,
|
| 2788 |
+
"step": 397
|
| 2789 |
+
},
|
| 2790 |
+
{
|
| 2791 |
+
"epoch": 2.392,
|
| 2792 |
+
"grad_norm": 0.4191509485244751,
|
| 2793 |
+
"learning_rate": 1.1798131208919628e-06,
|
| 2794 |
+
"loss": 0.7882,
|
| 2795 |
+
"step": 398
|
| 2796 |
+
},
|
| 2797 |
+
{
|
| 2798 |
+
"epoch": 2.398,
|
| 2799 |
+
"grad_norm": 0.43705156445503235,
|
| 2800 |
+
"learning_rate": 1.1572859448361602e-06,
|
| 2801 |
+
"loss": 0.8712,
|
| 2802 |
+
"step": 399
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 2.404,
|
| 2806 |
+
"grad_norm": 0.4271179139614105,
|
| 2807 |
+
"learning_rate": 1.134947733186315e-06,
|
| 2808 |
+
"loss": 0.7635,
|
| 2809 |
+
"step": 400
|
| 2810 |
+
},
|
| 2811 |
+
{
|
| 2812 |
+
"epoch": 2.41,
|
| 2813 |
+
"grad_norm": 0.426925927400589,
|
| 2814 |
+
"learning_rate": 1.1127995844178385e-06,
|
| 2815 |
+
"loss": 0.7843,
|
| 2816 |
+
"step": 401
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 2.416,
|
| 2820 |
+
"grad_norm": 0.408716082572937,
|
| 2821 |
+
"learning_rate": 1.0908425876598512e-06,
|
| 2822 |
+
"loss": 0.8381,
|
| 2823 |
+
"step": 402
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"epoch": 2.422,
|
| 2827 |
+
"grad_norm": 0.3790528476238251,
|
| 2828 |
+
"learning_rate": 1.069077822641622e-06,
|
| 2829 |
+
"loss": 0.7518,
|
| 2830 |
+
"step": 403
|
| 2831 |
+
},
|
| 2832 |
+
{
|
| 2833 |
+
"epoch": 2.428,
|
| 2834 |
+
"grad_norm": 0.4429261386394501,
|
| 2835 |
+
"learning_rate": 1.047506359639483e-06,
|
| 2836 |
+
"loss": 0.7886,
|
| 2837 |
+
"step": 404
|
| 2838 |
+
},
|
| 2839 |
+
{
|
| 2840 |
+
"epoch": 2.434,
|
| 2841 |
+
"grad_norm": 0.4311138987541199,
|
| 2842 |
+
"learning_rate": 1.0261292594241873e-06,
|
| 2843 |
+
"loss": 0.7454,
|
| 2844 |
+
"step": 405
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 2.44,
|
| 2848 |
+
"grad_norm": 0.4488796591758728,
|
| 2849 |
+
"learning_rate": 1.004947573208756e-06,
|
| 2850 |
+
"loss": 0.7773,
|
| 2851 |
+
"step": 406
|
| 2852 |
+
},
|
| 2853 |
+
{
|
| 2854 |
+
"epoch": 2.446,
|
| 2855 |
+
"grad_norm": 0.4116864800453186,
|
| 2856 |
+
"learning_rate": 9.83962342596776e-07,
|
| 2857 |
+
"loss": 0.7395,
|
| 2858 |
+
"step": 407
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 2.452,
|
| 2862 |
+
"grad_norm": 0.5070677399635315,
|
| 2863 |
+
"learning_rate": 9.631745995311881e-07,
|
| 2864 |
+
"loss": 0.7972,
|
| 2865 |
+
"step": 408
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 2.458,
|
| 2869 |
+
"grad_norm": 0.43356719613075256,
|
| 2870 |
+
"learning_rate": 9.42585366243537e-07,
|
| 2871 |
+
"loss": 0.7628,
|
| 2872 |
+
"step": 409
|
| 2873 |
+
},
|
| 2874 |
+
{
|
| 2875 |
+
"epoch": 2.464,
|
| 2876 |
+
"grad_norm": 0.41195109486579895,
|
| 2877 |
+
"learning_rate": 9.221956552036992e-07,
|
| 2878 |
+
"loss": 0.8116,
|
| 2879 |
+
"step": 410
|
| 2880 |
+
},
|
| 2881 |
+
{
|
| 2882 |
+
"epoch": 2.4699999999999998,
|
| 2883 |
+
"grad_norm": 0.3985452651977539,
|
| 2884 |
+
"learning_rate": 9.020064690701069e-07,
|
| 2885 |
+
"loss": 0.8279,
|
| 2886 |
+
"step": 411
|
| 2887 |
+
},
|
| 2888 |
+
{
|
| 2889 |
+
"epoch": 2.476,
|
| 2890 |
+
"grad_norm": 0.47739341855049133,
|
| 2891 |
+
"learning_rate": 8.820188006404268e-07,
|
| 2892 |
+
"loss": 0.8178,
|
| 2893 |
+
"step": 412
|
| 2894 |
+
},
|
| 2895 |
+
{
|
| 2896 |
+
"epoch": 2.482,
|
| 2897 |
+
"grad_norm": 0.4421622157096863,
|
| 2898 |
+
"learning_rate": 8.622336328027553e-07,
|
| 2899 |
+
"loss": 0.8169,
|
| 2900 |
+
"step": 413
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 2.488,
|
| 2904 |
+
"grad_norm": 0.4162546396255493,
|
| 2905 |
+
"learning_rate": 8.426519384872733e-07,
|
| 2906 |
+
"loss": 0.8104,
|
| 2907 |
+
"step": 414
|
| 2908 |
+
},
|
| 2909 |
+
{
|
| 2910 |
+
"epoch": 2.4939999999999998,
|
| 2911 |
+
"grad_norm": 0.36846503615379333,
|
| 2912 |
+
"learning_rate": 8.232746806184116e-07,
|
| 2913 |
+
"loss": 0.7281,
|
| 2914 |
+
"step": 415
|
| 2915 |
+
},
|
| 2916 |
+
{
|
| 2917 |
+
"epoch": 2.5,
|
| 2918 |
+
"grad_norm": 0.3913734257221222,
|
| 2919 |
+
"learning_rate": 8.041028120674894e-07,
|
| 2920 |
+
"loss": 0.7757,
|
| 2921 |
+
"step": 416
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 2.5060000000000002,
|
| 2925 |
+
"grad_norm": 0.4026607573032379,
|
| 2926 |
+
"learning_rate": 7.851372756058662e-07,
|
| 2927 |
+
"loss": 0.8185,
|
| 2928 |
+
"step": 417
|
| 2929 |
+
},
|
| 2930 |
+
{
|
| 2931 |
+
"epoch": 2.512,
|
| 2932 |
+
"grad_norm": 0.40786227583885193,
|
| 2933 |
+
"learning_rate": 7.663790038585794e-07,
|
| 2934 |
+
"loss": 0.8264,
|
| 2935 |
+
"step": 418
|
| 2936 |
+
},
|
| 2937 |
+
{
|
| 2938 |
+
"epoch": 2.518,
|
| 2939 |
+
"grad_norm": 0.3854236602783203,
|
| 2940 |
+
"learning_rate": 7.478289192584765e-07,
|
| 2941 |
+
"loss": 0.6955,
|
| 2942 |
+
"step": 419
|
| 2943 |
+
},
|
| 2944 |
+
{
|
| 2945 |
+
"epoch": 2.524,
|
| 2946 |
+
"grad_norm": 0.4671294391155243,
|
| 2947 |
+
"learning_rate": 7.294879340008632e-07,
|
| 2948 |
+
"loss": 0.8344,
|
| 2949 |
+
"step": 420
|
| 2950 |
+
},
|
| 2951 |
+
{
|
| 2952 |
+
"epoch": 2.5300000000000002,
|
| 2953 |
+
"grad_norm": 0.4368779957294464,
|
| 2954 |
+
"learning_rate": 7.113569499986401e-07,
|
| 2955 |
+
"loss": 0.7613,
|
| 2956 |
+
"step": 421
|
| 2957 |
+
},
|
| 2958 |
+
{
|
| 2959 |
+
"epoch": 2.536,
|
| 2960 |
+
"grad_norm": 0.40010130405426025,
|
| 2961 |
+
"learning_rate": 6.934368588379553e-07,
|
| 2962 |
+
"loss": 0.6928,
|
| 2963 |
+
"step": 422
|
| 2964 |
+
},
|
| 2965 |
+
{
|
| 2966 |
+
"epoch": 2.542,
|
| 2967 |
+
"grad_norm": 0.404140442609787,
|
| 2968 |
+
"learning_rate": 6.757285417343601e-07,
|
| 2969 |
+
"loss": 0.7997,
|
| 2970 |
+
"step": 423
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 2.548,
|
| 2974 |
+
"grad_norm": 0.39803242683410645,
|
| 2975 |
+
"learning_rate": 6.582328694894729e-07,
|
| 2976 |
+
"loss": 0.7461,
|
| 2977 |
+
"step": 424
|
| 2978 |
+
},
|
| 2979 |
+
{
|
| 2980 |
+
"epoch": 2.5540000000000003,
|
| 2981 |
+
"grad_norm": 0.4443919360637665,
|
| 2982 |
+
"learning_rate": 6.409507024481615e-07,
|
| 2983 |
+
"loss": 0.8448,
|
| 2984 |
+
"step": 425
|
| 2985 |
+
},
|
| 2986 |
+
{
|
| 2987 |
+
"epoch": 2.56,
|
| 2988 |
+
"grad_norm": 0.43407124280929565,
|
| 2989 |
+
"learning_rate": 6.238828904562316e-07,
|
| 2990 |
+
"loss": 0.8036,
|
| 2991 |
+
"step": 426
|
| 2992 |
+
},
|
| 2993 |
+
{
|
| 2994 |
+
"epoch": 2.566,
|
| 2995 |
+
"grad_norm": 0.4071224331855774,
|
| 2996 |
+
"learning_rate": 6.070302728186428e-07,
|
| 2997 |
+
"loss": 0.7716,
|
| 2998 |
+
"step": 427
|
| 2999 |
+
},
|
| 3000 |
+
{
|
| 3001 |
+
"epoch": 2.572,
|
| 3002 |
+
"grad_norm": 0.3952639698982239,
|
| 3003 |
+
"learning_rate": 5.903936782582253e-07,
|
| 3004 |
+
"loss": 0.7355,
|
| 3005 |
+
"step": 428
|
| 3006 |
+
},
|
| 3007 |
+
{
|
| 3008 |
+
"epoch": 2.578,
|
| 3009 |
+
"grad_norm": 0.4198220372200012,
|
| 3010 |
+
"learning_rate": 5.739739248749398e-07,
|
| 3011 |
+
"loss": 0.818,
|
| 3012 |
+
"step": 429
|
| 3013 |
+
},
|
| 3014 |
+
{
|
| 3015 |
+
"epoch": 2.584,
|
| 3016 |
+
"grad_norm": 0.43490225076675415,
|
| 3017 |
+
"learning_rate": 5.577718201056392e-07,
|
| 3018 |
+
"loss": 0.7708,
|
| 3019 |
+
"step": 430
|
| 3020 |
+
},
|
| 3021 |
+
{
|
| 3022 |
+
"epoch": 2.59,
|
| 3023 |
+
"grad_norm": 0.4053814113140106,
|
| 3024 |
+
"learning_rate": 5.41788160684365e-07,
|
| 3025 |
+
"loss": 0.7872,
|
| 3026 |
+
"step": 431
|
| 3027 |
+
},
|
| 3028 |
+
{
|
| 3029 |
+
"epoch": 2.596,
|
| 3030 |
+
"grad_norm": 0.39600592851638794,
|
| 3031 |
+
"learning_rate": 5.260237326031698e-07,
|
| 3032 |
+
"loss": 0.8138,
|
| 3033 |
+
"step": 432
|
| 3034 |
+
},
|
| 3035 |
+
{
|
| 3036 |
+
"epoch": 2.602,
|
| 3037 |
+
"grad_norm": 0.40536797046661377,
|
| 3038 |
+
"learning_rate": 5.104793110734668e-07,
|
| 3039 |
+
"loss": 0.7579,
|
| 3040 |
+
"step": 433
|
| 3041 |
+
},
|
| 3042 |
+
{
|
| 3043 |
+
"epoch": 2.608,
|
| 3044 |
+
"grad_norm": 0.3923257887363434,
|
| 3045 |
+
"learning_rate": 4.951556604879049e-07,
|
| 3046 |
+
"loss": 0.7697,
|
| 3047 |
+
"step": 434
|
| 3048 |
+
},
|
| 3049 |
+
{
|
| 3050 |
+
"epoch": 2.614,
|
| 3051 |
+
"grad_norm": 0.44755300879478455,
|
| 3052 |
+
"learning_rate": 4.800535343827834e-07,
|
| 3053 |
+
"loss": 0.8134,
|
| 3054 |
+
"step": 435
|
| 3055 |
+
},
|
| 3056 |
+
{
|
| 3057 |
+
"epoch": 2.62,
|
| 3058 |
+
"grad_norm": 0.41581737995147705,
|
| 3059 |
+
"learning_rate": 4.651736754009972e-07,
|
| 3060 |
+
"loss": 0.8371,
|
| 3061 |
+
"step": 436
|
| 3062 |
+
},
|
| 3063 |
+
{
|
| 3064 |
+
"epoch": 2.626,
|
| 3065 |
+
"grad_norm": 0.344684898853302,
|
| 3066 |
+
"learning_rate": 4.5051681525551726e-07,
|
| 3067 |
+
"loss": 0.6842,
|
| 3068 |
+
"step": 437
|
| 3069 |
+
},
|
| 3070 |
+
{
|
| 3071 |
+
"epoch": 2.632,
|
| 3072 |
+
"grad_norm": 0.44776731729507446,
|
| 3073 |
+
"learning_rate": 4.3608367469340553e-07,
|
| 3074 |
+
"loss": 0.8512,
|
| 3075 |
+
"step": 438
|
| 3076 |
+
},
|
| 3077 |
+
{
|
| 3078 |
+
"epoch": 2.638,
|
| 3079 |
+
"grad_norm": 0.40358269214630127,
|
| 3080 |
+
"learning_rate": 4.218749634603769e-07,
|
| 3081 |
+
"loss": 0.8017,
|
| 3082 |
+
"step": 439
|
| 3083 |
+
},
|
| 3084 |
+
{
|
| 3085 |
+
"epoch": 2.644,
|
| 3086 |
+
"grad_norm": 0.3789862394332886,
|
| 3087 |
+
"learning_rate": 4.078913802658946e-07,
|
| 3088 |
+
"loss": 0.7429,
|
| 3089 |
+
"step": 440
|
| 3090 |
+
},
|
| 3091 |
+
{
|
| 3092 |
+
"epoch": 2.65,
|
| 3093 |
+
"grad_norm": 0.4059142470359802,
|
| 3094 |
+
"learning_rate": 3.941336127488149e-07,
|
| 3095 |
+
"loss": 0.9286,
|
| 3096 |
+
"step": 441
|
| 3097 |
+
},
|
| 3098 |
+
{
|
| 3099 |
+
"epoch": 2.656,
|
| 3100 |
+
"grad_norm": 0.47864121198654175,
|
| 3101 |
+
"learning_rate": 3.8060233744356634e-07,
|
| 3102 |
+
"loss": 0.7965,
|
| 3103 |
+
"step": 442
|
| 3104 |
+
},
|
| 3105 |
+
{
|
| 3106 |
+
"epoch": 2.662,
|
| 3107 |
+
"grad_norm": 0.34777745604515076,
|
| 3108 |
+
"learning_rate": 3.672982197468894e-07,
|
| 3109 |
+
"loss": 0.6891,
|
| 3110 |
+
"step": 443
|
| 3111 |
+
},
|
| 3112 |
+
{
|
| 3113 |
+
"epoch": 2.668,
|
| 3114 |
+
"grad_norm": 0.4154059588909149,
|
| 3115 |
+
"learning_rate": 3.542219138851094e-07,
|
| 3116 |
+
"loss": 0.8237,
|
| 3117 |
+
"step": 444
|
| 3118 |
+
},
|
| 3119 |
+
{
|
| 3120 |
+
"epoch": 2.674,
|
| 3121 |
+
"grad_norm": 0.4375707805156708,
|
| 3122 |
+
"learning_rate": 3.413740628819673e-07,
|
| 3123 |
+
"loss": 0.8458,
|
| 3124 |
+
"step": 445
|
| 3125 |
+
},
|
| 3126 |
+
{
|
| 3127 |
+
"epoch": 2.68,
|
| 3128 |
+
"grad_norm": 0.3523346483707428,
|
| 3129 |
+
"learning_rate": 3.287552985270015e-07,
|
| 3130 |
+
"loss": 0.6672,
|
| 3131 |
+
"step": 446
|
| 3132 |
+
},
|
| 3133 |
+
{
|
| 3134 |
+
"epoch": 2.686,
|
| 3135 |
+
"grad_norm": 0.43038198351860046,
|
| 3136 |
+
"learning_rate": 3.1636624134447347e-07,
|
| 3137 |
+
"loss": 0.9044,
|
| 3138 |
+
"step": 447
|
| 3139 |
+
},
|
| 3140 |
+
{
|
| 3141 |
+
"epoch": 2.692,
|
| 3142 |
+
"grad_norm": 0.4230746030807495,
|
| 3143 |
+
"learning_rate": 3.0420750056286195e-07,
|
| 3144 |
+
"loss": 0.7871,
|
| 3145 |
+
"step": 448
|
| 3146 |
+
},
|
| 3147 |
+
{
|
| 3148 |
+
"epoch": 2.698,
|
| 3149 |
+
"grad_norm": 0.4082009792327881,
|
| 3150 |
+
"learning_rate": 2.9227967408489653e-07,
|
| 3151 |
+
"loss": 0.8072,
|
| 3152 |
+
"step": 449
|
| 3153 |
+
},
|
| 3154 |
+
{
|
| 3155 |
+
"epoch": 2.7039999999999997,
|
| 3156 |
+
"grad_norm": 0.41478103399276733,
|
| 3157 |
+
"learning_rate": 2.8058334845816214e-07,
|
| 3158 |
+
"loss": 0.8227,
|
| 3159 |
+
"step": 450
|
| 3160 |
+
},
|
| 3161 |
+
{
|
| 3162 |
+
"epoch": 2.71,
|
| 3163 |
+
"grad_norm": 0.37652283906936646,
|
| 3164 |
+
"learning_rate": 2.691190988462522e-07,
|
| 3165 |
+
"loss": 0.7586,
|
| 3166 |
+
"step": 451
|
| 3167 |
+
},
|
| 3168 |
+
{
|
| 3169 |
+
"epoch": 2.716,
|
| 3170 |
+
"grad_norm": 0.46765658259391785,
|
| 3171 |
+
"learning_rate": 2.5788748900048676e-07,
|
| 3172 |
+
"loss": 0.8312,
|
| 3173 |
+
"step": 452
|
| 3174 |
+
},
|
| 3175 |
+
{
|
| 3176 |
+
"epoch": 2.722,
|
| 3177 |
+
"grad_norm": 0.39574170112609863,
|
| 3178 |
+
"learning_rate": 2.468890712321864e-07,
|
| 3179 |
+
"loss": 0.8476,
|
| 3180 |
+
"step": 453
|
| 3181 |
+
},
|
| 3182 |
+
{
|
| 3183 |
+
"epoch": 2.7279999999999998,
|
| 3184 |
+
"grad_norm": 0.39904430508613586,
|
| 3185 |
+
"learning_rate": 2.3612438638551837e-07,
|
| 3186 |
+
"loss": 0.7627,
|
| 3187 |
+
"step": 454
|
| 3188 |
+
},
|
| 3189 |
+
{
|
| 3190 |
+
"epoch": 2.734,
|
| 3191 |
+
"grad_norm": 0.369881272315979,
|
| 3192 |
+
"learning_rate": 2.2559396381089836e-07,
|
| 3193 |
+
"loss": 0.7599,
|
| 3194 |
+
"step": 455
|
| 3195 |
+
},
|
| 3196 |
+
{
|
| 3197 |
+
"epoch": 2.74,
|
| 3198 |
+
"grad_norm": 0.3744626045227051,
|
| 3199 |
+
"learning_rate": 2.152983213389559e-07,
|
| 3200 |
+
"loss": 0.7736,
|
| 3201 |
+
"step": 456
|
| 3202 |
+
},
|
| 3203 |
+
{
|
| 3204 |
+
"epoch": 2.746,
|
| 3205 |
+
"grad_norm": 0.4368973672389984,
|
| 3206 |
+
"learning_rate": 2.0523796525507622e-07,
|
| 3207 |
+
"loss": 0.8125,
|
| 3208 |
+
"step": 457
|
| 3209 |
+
},
|
| 3210 |
+
{
|
| 3211 |
+
"epoch": 2.752,
|
| 3212 |
+
"grad_norm": 0.43715760111808777,
|
| 3213 |
+
"learning_rate": 1.9541339027450256e-07,
|
| 3214 |
+
"loss": 0.7794,
|
| 3215 |
+
"step": 458
|
| 3216 |
+
},
|
| 3217 |
+
{
|
| 3218 |
+
"epoch": 2.758,
|
| 3219 |
+
"grad_norm": 0.41397351026535034,
|
| 3220 |
+
"learning_rate": 1.8582507951800277e-07,
|
| 3221 |
+
"loss": 0.793,
|
| 3222 |
+
"step": 459
|
| 3223 |
+
},
|
| 3224 |
+
{
|
| 3225 |
+
"epoch": 2.7640000000000002,
|
| 3226 |
+
"grad_norm": 0.39155086874961853,
|
| 3227 |
+
"learning_rate": 1.7647350448812105e-07,
|
| 3228 |
+
"loss": 0.7349,
|
| 3229 |
+
"step": 460
|
| 3230 |
+
},
|
| 3231 |
+
{
|
| 3232 |
+
"epoch": 2.77,
|
| 3233 |
+
"grad_norm": 0.4406411647796631,
|
| 3234 |
+
"learning_rate": 1.6735912504598384e-07,
|
| 3235 |
+
"loss": 0.8252,
|
| 3236 |
+
"step": 461
|
| 3237 |
+
},
|
| 3238 |
+
{
|
| 3239 |
+
"epoch": 2.776,
|
| 3240 |
+
"grad_norm": 0.41271498799324036,
|
| 3241 |
+
"learning_rate": 1.5848238938869332e-07,
|
| 3242 |
+
"loss": 0.8621,
|
| 3243 |
+
"step": 462
|
| 3244 |
+
},
|
| 3245 |
+
{
|
| 3246 |
+
"epoch": 2.782,
|
| 3247 |
+
"grad_norm": 0.3822709321975708,
|
| 3248 |
+
"learning_rate": 1.4984373402728014e-07,
|
| 3249 |
+
"loss": 0.7701,
|
| 3250 |
+
"step": 463
|
| 3251 |
+
},
|
| 3252 |
+
{
|
| 3253 |
+
"epoch": 2.7880000000000003,
|
| 3254 |
+
"grad_norm": 0.42628178000450134,
|
| 3255 |
+
"learning_rate": 1.4144358376524504e-07,
|
| 3256 |
+
"loss": 0.7945,
|
| 3257 |
+
"step": 464
|
| 3258 |
+
},
|
| 3259 |
+
{
|
| 3260 |
+
"epoch": 2.794,
|
| 3261 |
+
"grad_norm": 0.40755292773246765,
|
| 3262 |
+
"learning_rate": 1.3328235167766545e-07,
|
| 3263 |
+
"loss": 0.7498,
|
| 3264 |
+
"step": 465
|
| 3265 |
+
},
|
| 3266 |
+
{
|
| 3267 |
+
"epoch": 2.8,
|
| 3268 |
+
"grad_norm": 0.4093887209892273,
|
| 3269 |
+
"learning_rate": 1.253604390908819e-07,
|
| 3270 |
+
"loss": 0.8173,
|
| 3271 |
+
"step": 466
|
| 3272 |
+
},
|
| 3273 |
+
{
|
| 3274 |
+
"epoch": 2.806,
|
| 3275 |
+
"grad_norm": 0.3912396728992462,
|
| 3276 |
+
"learning_rate": 1.1767823556276648e-07,
|
| 3277 |
+
"loss": 0.7292,
|
| 3278 |
+
"step": 467
|
| 3279 |
+
},
|
| 3280 |
+
{
|
| 3281 |
+
"epoch": 2.8120000000000003,
|
| 3282 |
+
"grad_norm": 0.39809033274650574,
|
| 3283 |
+
"learning_rate": 1.10236118863562e-07,
|
| 3284 |
+
"loss": 0.8378,
|
| 3285 |
+
"step": 468
|
| 3286 |
+
},
|
| 3287 |
+
{
|
| 3288 |
+
"epoch": 2.818,
|
| 3289 |
+
"grad_norm": 0.39227575063705444,
|
| 3290 |
+
"learning_rate": 1.0303445495730868e-07,
|
| 3291 |
+
"loss": 0.8025,
|
| 3292 |
+
"step": 469
|
| 3293 |
+
},
|
| 3294 |
+
{
|
| 3295 |
+
"epoch": 2.824,
|
| 3296 |
+
"grad_norm": 0.3954123854637146,
|
| 3297 |
+
"learning_rate": 9.607359798384785e-08,
|
| 3298 |
+
"loss": 0.8015,
|
| 3299 |
+
"step": 470
|
| 3300 |
+
},
|
| 3301 |
+
{
|
| 3302 |
+
"epoch": 2.83,
|
| 3303 |
+
"grad_norm": 0.37289682030677795,
|
| 3304 |
+
"learning_rate": 8.935389024140485e-08,
|
| 3305 |
+
"loss": 0.6498,
|
| 3306 |
+
"step": 471
|
| 3307 |
+
},
|
| 3308 |
+
{
|
| 3309 |
+
"epoch": 2.836,
|
| 3310 |
+
"grad_norm": 0.4187394976615906,
|
| 3311 |
+
"learning_rate": 8.287566216975795e-08,
|
| 3312 |
+
"loss": 0.8355,
|
| 3313 |
+
"step": 472
|
| 3314 |
+
},
|
| 3315 |
+
{
|
| 3316 |
+
"epoch": 2.842,
|
| 3317 |
+
"grad_norm": 0.389783650636673,
|
| 3318 |
+
"learning_rate": 7.663923233398928e-08,
|
| 3319 |
+
"loss": 0.8568,
|
| 3320 |
+
"step": 473
|
| 3321 |
+
},
|
| 3322 |
+
{
|
| 3323 |
+
"epoch": 2.848,
|
| 3324 |
+
"grad_norm": 0.40914517641067505,
|
| 3325 |
+
"learning_rate": 7.064490740882057e-08,
|
| 3326 |
+
"loss": 0.7667,
|
| 3327 |
+
"step": 474
|
| 3328 |
+
},
|
| 3329 |
+
{
|
| 3330 |
+
"epoch": 2.854,
|
| 3331 |
+
"grad_norm": 0.4102424681186676,
|
| 3332 |
+
"learning_rate": 6.489298216352913e-08,
|
| 3333 |
+
"loss": 0.7791,
|
| 3334 |
+
"step": 475
|
| 3335 |
+
},
|
| 3336 |
+
{
|
| 3337 |
+
"epoch": 2.86,
|
| 3338 |
+
"grad_norm": 0.42990586161613464,
|
| 3339 |
+
"learning_rate": 5.938373944745612e-08,
|
| 3340 |
+
"loss": 0.8003,
|
| 3341 |
+
"step": 476
|
| 3342 |
+
},
|
| 3343 |
+
{
|
| 3344 |
+
"epoch": 2.866,
|
| 3345 |
+
"grad_norm": 0.3794080317020416,
|
| 3346 |
+
"learning_rate": 5.411745017609493e-08,
|
| 3347 |
+
"loss": 0.8502,
|
| 3348 |
+
"step": 477
|
| 3349 |
+
},
|
| 3350 |
+
{
|
| 3351 |
+
"epoch": 2.872,
|
| 3352 |
+
"grad_norm": 0.3640872538089752,
|
| 3353 |
+
"learning_rate": 4.909437331777178e-08,
|
| 3354 |
+
"loss": 0.667,
|
| 3355 |
+
"step": 478
|
| 3356 |
+
},
|
| 3357 |
+
{
|
| 3358 |
+
"epoch": 2.878,
|
| 3359 |
+
"grad_norm": 0.4412924647331238,
|
| 3360 |
+
"learning_rate": 4.431475588090872e-08,
|
| 3361 |
+
"loss": 0.8964,
|
| 3362 |
+
"step": 479
|
| 3363 |
+
},
|
| 3364 |
+
{
|
| 3365 |
+
"epoch": 2.884,
|
| 3366 |
+
"grad_norm": 0.38228335976600647,
|
| 3367 |
+
"learning_rate": 3.977883290187667e-08,
|
| 3368 |
+
"loss": 0.7143,
|
| 3369 |
+
"step": 480
|
| 3370 |
+
},
|
| 3371 |
+
{
|
| 3372 |
+
"epoch": 2.89,
|
| 3373 |
+
"grad_norm": 0.42708632349967957,
|
| 3374 |
+
"learning_rate": 3.548682743344079e-08,
|
| 3375 |
+
"loss": 0.8222,
|
| 3376 |
+
"step": 481
|
| 3377 |
+
},
|
| 3378 |
+
{
|
| 3379 |
+
"epoch": 2.896,
|
| 3380 |
+
"grad_norm": 0.39925622940063477,
|
| 3381 |
+
"learning_rate": 3.143895053378698e-08,
|
| 3382 |
+
"loss": 0.7455,
|
| 3383 |
+
"step": 482
|
| 3384 |
+
},
|
| 3385 |
+
{
|
| 3386 |
+
"epoch": 2.902,
|
| 3387 |
+
"grad_norm": 0.4083234667778015,
|
| 3388 |
+
"learning_rate": 2.7635401256149163e-08,
|
| 3389 |
+
"loss": 0.8795,
|
| 3390 |
+
"step": 483
|
| 3391 |
+
},
|
| 3392 |
+
{
|
| 3393 |
+
"epoch": 2.908,
|
| 3394 |
+
"grad_norm": 0.3775049149990082,
|
| 3395 |
+
"learning_rate": 2.4076366639015914e-08,
|
| 3396 |
+
"loss": 0.6865,
|
| 3397 |
+
"step": 484
|
| 3398 |
+
},
|
| 3399 |
+
{
|
| 3400 |
+
"epoch": 2.914,
|
| 3401 |
+
"grad_norm": 0.40156200528144836,
|
| 3402 |
+
"learning_rate": 2.0762021696933975e-08,
|
| 3403 |
+
"loss": 0.7257,
|
| 3404 |
+
"step": 485
|
| 3405 |
+
},
|
| 3406 |
+
{
|
| 3407 |
+
"epoch": 2.92,
|
| 3408 |
+
"grad_norm": 0.4004535675048828,
|
| 3409 |
+
"learning_rate": 1.769252941190458e-08,
|
| 3410 |
+
"loss": 0.8059,
|
| 3411 |
+
"step": 486
|
| 3412 |
+
},
|
| 3413 |
+
{
|
| 3414 |
+
"epoch": 2.926,
|
| 3415 |
+
"grad_norm": 0.38527584075927734,
|
| 3416 |
+
"learning_rate": 1.4868040725365407e-08,
|
| 3417 |
+
"loss": 0.8935,
|
| 3418 |
+
"step": 487
|
| 3419 |
+
},
|
| 3420 |
+
{
|
| 3421 |
+
"epoch": 2.932,
|
| 3422 |
+
"grad_norm": 0.39457565546035767,
|
| 3423 |
+
"learning_rate": 1.2288694530769862e-08,
|
| 3424 |
+
"loss": 0.7953,
|
| 3425 |
+
"step": 488
|
| 3426 |
+
},
|
| 3427 |
+
{
|
| 3428 |
+
"epoch": 2.9379999999999997,
|
| 3429 |
+
"grad_norm": 0.42659154534339905,
|
| 3430 |
+
"learning_rate": 9.954617666758648e-09,
|
| 3431 |
+
"loss": 0.7744,
|
| 3432 |
+
"step": 489
|
| 3433 |
+
},
|
| 3434 |
+
{
|
| 3435 |
+
"epoch": 2.944,
|
| 3436 |
+
"grad_norm": 0.4101230502128601,
|
| 3437 |
+
"learning_rate": 7.865924910916977e-09,
|
| 3438 |
+
"loss": 0.7164,
|
| 3439 |
+
"step": 490
|
| 3440 |
+
},
|
| 3441 |
+
{
|
| 3442 |
+
"epoch": 2.95,
|
| 3443 |
+
"grad_norm": 0.3969820737838745,
|
| 3444 |
+
"learning_rate": 6.022718974137976e-09,
|
| 3445 |
+
"loss": 0.8194,
|
| 3446 |
+
"step": 491
|
| 3447 |
+
},
|
| 3448 |
+
{
|
| 3449 |
+
"epoch": 2.956,
|
| 3450 |
+
"grad_norm": 0.40510863065719604,
|
| 3451 |
+
"learning_rate": 4.4250904955656095e-09,
|
| 3452 |
+
"loss": 0.8323,
|
| 3453 |
+
"step": 492
|
| 3454 |
+
},
|
| 3455 |
+
{
|
| 3456 |
+
"epoch": 2.9619999999999997,
|
| 3457 |
+
"grad_norm": 0.3878780007362366,
|
| 3458 |
+
"learning_rate": 3.0731180381399216e-09,
|
| 3459 |
+
"loss": 0.7787,
|
| 3460 |
+
"step": 493
|
| 3461 |
+
},
|
| 3462 |
+
{
|
| 3463 |
+
"epoch": 2.968,
|
| 3464 |
+
"grad_norm": 0.3961254954338074,
|
| 3465 |
+
"learning_rate": 1.9668680847356735e-09,
|
| 3466 |
+
"loss": 0.8071,
|
| 3467 |
+
"step": 494
|
| 3468 |
+
},
|
| 3469 |
+
{
|
| 3470 |
+
"epoch": 2.974,
|
| 3471 |
+
"grad_norm": 0.38420915603637695,
|
| 3472 |
+
"learning_rate": 1.1063950348888519e-09,
|
| 3473 |
+
"loss": 0.7125,
|
| 3474 |
+
"step": 495
|
| 3475 |
+
},
|
| 3476 |
+
{
|
| 3477 |
+
"epoch": 2.98,
|
| 3478 |
+
"grad_norm": 0.44326284527778625,
|
| 3479 |
+
"learning_rate": 4.91741202124918e-10,
|
| 3480 |
+
"loss": 0.7699,
|
| 3481 |
+
"step": 496
|
| 3482 |
+
},
|
| 3483 |
+
{
|
| 3484 |
+
"epoch": 2.9859999999999998,
|
| 3485 |
+
"grad_norm": 0.43767398595809937,
|
| 3486 |
+
"learning_rate": 1.22936811877139e-10,
|
| 3487 |
+
"loss": 0.8057,
|
| 3488 |
+
"step": 497
|
| 3489 |
+
},
|
| 3490 |
+
{
|
| 3491 |
+
"epoch": 2.992,
|
| 3492 |
+
"grad_norm": 0.3621894121170044,
|
| 3493 |
+
"learning_rate": 0.0,
|
| 3494 |
+
"loss": 0.7188,
|
| 3495 |
+
"step": 498
|
| 3496 |
+
},
|
| 3497 |
+
{
|
| 3498 |
+
"epoch": 2.992,
|
| 3499 |
+
"step": 498,
|
| 3500 |
+
"total_flos": 499815018037248.0,
|
| 3501 |
+
"train_loss": 0.8564689170165234,
|
| 3502 |
+
"train_runtime": 27758.1426,
|
| 3503 |
+
"train_samples_per_second": 1.729,
|
| 3504 |
+
"train_steps_per_second": 0.018
|
| 3505 |
+
}
|
| 3506 |
+
],
|
| 3507 |
+
"logging_steps": 1.0,
|
| 3508 |
+
"max_steps": 498,
|
| 3509 |
+
"num_input_tokens_seen": 0,
|
| 3510 |
+
"num_train_epochs": 3,
|
| 3511 |
+
"save_steps": 500,
|
| 3512 |
+
"stateful_callbacks": {
|
| 3513 |
+
"TrainerControl": {
|
| 3514 |
+
"args": {
|
| 3515 |
+
"should_epoch_stop": false,
|
| 3516 |
+
"should_evaluate": false,
|
| 3517 |
+
"should_log": false,
|
| 3518 |
+
"should_save": true,
|
| 3519 |
+
"should_training_stop": true
|
| 3520 |
+
},
|
| 3521 |
+
"attributes": {}
|
| 3522 |
+
}
|
| 3523 |
+
},
|
| 3524 |
+
"total_flos": 499815018037248.0,
|
| 3525 |
+
"train_batch_size": 1,
|
| 3526 |
+
"trial_name": null,
|
| 3527 |
+
"trial_params": null
|
| 3528 |
+
}
|
training_loss.png
ADDED
|