End of training
Browse files- README.md +1 -1
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/May23_15-34-03_DESKTOP-SKBE9FB/events.out.tfevents.1716503100.DESKTOP-SKBE9FB.15104.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1302 -0
README.md
CHANGED
|
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss: 1.
|
| 36 |
- Accuracy: 0.7541
|
| 37 |
|
| 38 |
## Model description
|
|
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 1.7212
|
| 36 |
- Accuracy: 0.7541
|
| 37 |
|
| 38 |
## Model description
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 39.74,
|
| 3 |
+
"eval_accuracy": 0.7540983606557377,
|
| 4 |
+
"eval_loss": 1.7211973667144775,
|
| 5 |
+
"eval_runtime": 1.2098,
|
| 6 |
+
"eval_samples_per_second": 50.423,
|
| 7 |
+
"eval_steps_per_second": 1.653,
|
| 8 |
+
"train_loss": 0.11905086408124159,
|
| 9 |
+
"train_runtime": 3040.3234,
|
| 10 |
+
"train_samples_per_second": 64.204,
|
| 11 |
+
"train_steps_per_second": 0.5
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 39.74,
|
| 3 |
+
"eval_accuracy": 0.7540983606557377,
|
| 4 |
+
"eval_loss": 1.7211973667144775,
|
| 5 |
+
"eval_runtime": 1.2098,
|
| 6 |
+
"eval_samples_per_second": 50.423,
|
| 7 |
+
"eval_steps_per_second": 1.653
|
| 8 |
+
}
|
runs/May23_15-34-03_DESKTOP-SKBE9FB/events.out.tfevents.1716503100.DESKTOP-SKBE9FB.15104.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae2953b8796406566ca25a7383b7d47392a53bf590020541883048c898b8d15f
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 39.74,
|
| 3 |
+
"train_loss": 0.11905086408124159,
|
| 4 |
+
"train_runtime": 3040.3234,
|
| 5 |
+
"train_samples_per_second": 64.204,
|
| 6 |
+
"train_steps_per_second": 0.5
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1302 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7540983606557377,
|
| 3 |
+
"best_model_checkpoint": "vit-base-patch16-224-R1-40\\checkpoint-994",
|
| 4 |
+
"epoch": 39.73856209150327,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1520,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.26,
|
| 13 |
+
"learning_rate": 7.2368421052631575e-06,
|
| 14 |
+
"loss": 1.3841,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.52,
|
| 19 |
+
"learning_rate": 1.4473684210526315e-05,
|
| 20 |
+
"loss": 1.3644,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.78,
|
| 25 |
+
"learning_rate": 2.1710526315789474e-05,
|
| 26 |
+
"loss": 1.3233,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.99,
|
| 31 |
+
"eval_accuracy": 0.5573770491803278,
|
| 32 |
+
"eval_loss": 1.2354576587677002,
|
| 33 |
+
"eval_runtime": 1.2109,
|
| 34 |
+
"eval_samples_per_second": 50.376,
|
| 35 |
+
"eval_steps_per_second": 1.652,
|
| 36 |
+
"step": 38
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 1.05,
|
| 40 |
+
"learning_rate": 2.894736842105263e-05,
|
| 41 |
+
"loss": 1.2568,
|
| 42 |
+
"step": 40
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 1.31,
|
| 46 |
+
"learning_rate": 3.618421052631579e-05,
|
| 47 |
+
"loss": 1.1698,
|
| 48 |
+
"step": 50
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 1.57,
|
| 52 |
+
"learning_rate": 4.342105263157895e-05,
|
| 53 |
+
"loss": 1.0595,
|
| 54 |
+
"step": 60
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 1.83,
|
| 58 |
+
"learning_rate": 5.0657894736842104e-05,
|
| 59 |
+
"loss": 0.8643,
|
| 60 |
+
"step": 70
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 1.99,
|
| 64 |
+
"eval_accuracy": 0.5901639344262295,
|
| 65 |
+
"eval_loss": 0.9296518564224243,
|
| 66 |
+
"eval_runtime": 0.9419,
|
| 67 |
+
"eval_samples_per_second": 64.761,
|
| 68 |
+
"eval_steps_per_second": 2.123,
|
| 69 |
+
"step": 76
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 2.09,
|
| 73 |
+
"learning_rate": 5.484764542936288e-05,
|
| 74 |
+
"loss": 0.7065,
|
| 75 |
+
"step": 80
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 2.35,
|
| 79 |
+
"learning_rate": 5.446675900277008e-05,
|
| 80 |
+
"loss": 0.5891,
|
| 81 |
+
"step": 90
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 2.61,
|
| 85 |
+
"learning_rate": 5.408587257617729e-05,
|
| 86 |
+
"loss": 0.4685,
|
| 87 |
+
"step": 100
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 2.88,
|
| 91 |
+
"learning_rate": 5.370498614958449e-05,
|
| 92 |
+
"loss": 0.4464,
|
| 93 |
+
"step": 110
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 2.98,
|
| 97 |
+
"eval_accuracy": 0.639344262295082,
|
| 98 |
+
"eval_loss": 1.1189780235290527,
|
| 99 |
+
"eval_runtime": 0.9517,
|
| 100 |
+
"eval_samples_per_second": 64.093,
|
| 101 |
+
"eval_steps_per_second": 2.101,
|
| 102 |
+
"step": 114
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 3.14,
|
| 106 |
+
"learning_rate": 5.332409972299169e-05,
|
| 107 |
+
"loss": 0.3343,
|
| 108 |
+
"step": 120
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 3.4,
|
| 112 |
+
"learning_rate": 5.294321329639889e-05,
|
| 113 |
+
"loss": 0.2516,
|
| 114 |
+
"step": 130
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 3.66,
|
| 118 |
+
"learning_rate": 5.256232686980609e-05,
|
| 119 |
+
"loss": 0.2748,
|
| 120 |
+
"step": 140
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 3.92,
|
| 124 |
+
"learning_rate": 5.21814404432133e-05,
|
| 125 |
+
"loss": 0.3092,
|
| 126 |
+
"step": 150
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 4.0,
|
| 130 |
+
"eval_accuracy": 0.7049180327868853,
|
| 131 |
+
"eval_loss": 0.986064612865448,
|
| 132 |
+
"eval_runtime": 0.9785,
|
| 133 |
+
"eval_samples_per_second": 62.339,
|
| 134 |
+
"eval_steps_per_second": 2.044,
|
| 135 |
+
"step": 153
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 4.18,
|
| 139 |
+
"learning_rate": 5.18005540166205e-05,
|
| 140 |
+
"loss": 0.1909,
|
| 141 |
+
"step": 160
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 4.44,
|
| 145 |
+
"learning_rate": 5.14196675900277e-05,
|
| 146 |
+
"loss": 0.2265,
|
| 147 |
+
"step": 170
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 4.71,
|
| 151 |
+
"learning_rate": 5.1038781163434903e-05,
|
| 152 |
+
"loss": 0.1834,
|
| 153 |
+
"step": 180
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 4.97,
|
| 157 |
+
"learning_rate": 5.0657894736842104e-05,
|
| 158 |
+
"loss": 0.1628,
|
| 159 |
+
"step": 190
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 4.99,
|
| 163 |
+
"eval_accuracy": 0.6721311475409836,
|
| 164 |
+
"eval_loss": 1.1220643520355225,
|
| 165 |
+
"eval_runtime": 0.9649,
|
| 166 |
+
"eval_samples_per_second": 63.216,
|
| 167 |
+
"eval_steps_per_second": 2.073,
|
| 168 |
+
"step": 191
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 5.23,
|
| 172 |
+
"learning_rate": 5.027700831024931e-05,
|
| 173 |
+
"loss": 0.1763,
|
| 174 |
+
"step": 200
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 5.49,
|
| 178 |
+
"learning_rate": 4.989612188365651e-05,
|
| 179 |
+
"loss": 0.13,
|
| 180 |
+
"step": 210
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 5.75,
|
| 184 |
+
"learning_rate": 4.9515235457063714e-05,
|
| 185 |
+
"loss": 0.121,
|
| 186 |
+
"step": 220
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 5.99,
|
| 190 |
+
"eval_accuracy": 0.6885245901639344,
|
| 191 |
+
"eval_loss": 1.170951247215271,
|
| 192 |
+
"eval_runtime": 0.977,
|
| 193 |
+
"eval_samples_per_second": 62.435,
|
| 194 |
+
"eval_steps_per_second": 2.047,
|
| 195 |
+
"step": 229
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 6.01,
|
| 199 |
+
"learning_rate": 4.9134349030470915e-05,
|
| 200 |
+
"loss": 0.1121,
|
| 201 |
+
"step": 230
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 6.27,
|
| 205 |
+
"learning_rate": 4.8753462603878116e-05,
|
| 206 |
+
"loss": 0.1008,
|
| 207 |
+
"step": 240
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 6.54,
|
| 211 |
+
"learning_rate": 4.837257617728532e-05,
|
| 212 |
+
"loss": 0.12,
|
| 213 |
+
"step": 250
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 6.8,
|
| 217 |
+
"learning_rate": 4.7991689750692524e-05,
|
| 218 |
+
"loss": 0.1138,
|
| 219 |
+
"step": 260
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 6.98,
|
| 223 |
+
"eval_accuracy": 0.7213114754098361,
|
| 224 |
+
"eval_loss": 1.199324607849121,
|
| 225 |
+
"eval_runtime": 0.9471,
|
| 226 |
+
"eval_samples_per_second": 64.409,
|
| 227 |
+
"eval_steps_per_second": 2.112,
|
| 228 |
+
"step": 267
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 7.06,
|
| 232 |
+
"learning_rate": 4.7610803324099725e-05,
|
| 233 |
+
"loss": 0.1016,
|
| 234 |
+
"step": 270
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 7.32,
|
| 238 |
+
"learning_rate": 4.7229916897506926e-05,
|
| 239 |
+
"loss": 0.0953,
|
| 240 |
+
"step": 280
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 7.58,
|
| 244 |
+
"learning_rate": 4.684903047091413e-05,
|
| 245 |
+
"loss": 0.1073,
|
| 246 |
+
"step": 290
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 7.84,
|
| 250 |
+
"learning_rate": 4.6468144044321335e-05,
|
| 251 |
+
"loss": 0.1124,
|
| 252 |
+
"step": 300
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 8.0,
|
| 256 |
+
"eval_accuracy": 0.6885245901639344,
|
| 257 |
+
"eval_loss": 1.2635865211486816,
|
| 258 |
+
"eval_runtime": 0.9388,
|
| 259 |
+
"eval_samples_per_second": 64.974,
|
| 260 |
+
"eval_steps_per_second": 2.13,
|
| 261 |
+
"step": 306
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 8.1,
|
| 265 |
+
"learning_rate": 4.6087257617728535e-05,
|
| 266 |
+
"loss": 0.0796,
|
| 267 |
+
"step": 310
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 8.37,
|
| 271 |
+
"learning_rate": 4.570637119113573e-05,
|
| 272 |
+
"loss": 0.0944,
|
| 273 |
+
"step": 320
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 8.63,
|
| 277 |
+
"learning_rate": 4.532548476454294e-05,
|
| 278 |
+
"loss": 0.0701,
|
| 279 |
+
"step": 330
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 8.89,
|
| 283 |
+
"learning_rate": 4.494459833795014e-05,
|
| 284 |
+
"loss": 0.0748,
|
| 285 |
+
"step": 340
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 8.99,
|
| 289 |
+
"eval_accuracy": 0.7049180327868853,
|
| 290 |
+
"eval_loss": 1.388106346130371,
|
| 291 |
+
"eval_runtime": 0.9485,
|
| 292 |
+
"eval_samples_per_second": 64.314,
|
| 293 |
+
"eval_steps_per_second": 2.109,
|
| 294 |
+
"step": 344
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 9.15,
|
| 298 |
+
"learning_rate": 4.4563711911357346e-05,
|
| 299 |
+
"loss": 0.0708,
|
| 300 |
+
"step": 350
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 9.41,
|
| 304 |
+
"learning_rate": 4.418282548476455e-05,
|
| 305 |
+
"loss": 0.1,
|
| 306 |
+
"step": 360
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 9.67,
|
| 310 |
+
"learning_rate": 4.380193905817174e-05,
|
| 311 |
+
"loss": 0.0566,
|
| 312 |
+
"step": 370
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 9.93,
|
| 316 |
+
"learning_rate": 4.342105263157895e-05,
|
| 317 |
+
"loss": 0.0877,
|
| 318 |
+
"step": 380
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 9.99,
|
| 322 |
+
"eval_accuracy": 0.7213114754098361,
|
| 323 |
+
"eval_loss": 1.2892450094223022,
|
| 324 |
+
"eval_runtime": 0.9419,
|
| 325 |
+
"eval_samples_per_second": 64.76,
|
| 326 |
+
"eval_steps_per_second": 2.123,
|
| 327 |
+
"step": 382
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 10.2,
|
| 331 |
+
"learning_rate": 4.304016620498615e-05,
|
| 332 |
+
"loss": 0.0929,
|
| 333 |
+
"step": 390
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 10.46,
|
| 337 |
+
"learning_rate": 4.265927977839336e-05,
|
| 338 |
+
"loss": 0.1008,
|
| 339 |
+
"step": 400
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 10.72,
|
| 343 |
+
"learning_rate": 4.227839335180056e-05,
|
| 344 |
+
"loss": 0.0762,
|
| 345 |
+
"step": 410
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 10.98,
|
| 349 |
+
"learning_rate": 4.189750692520776e-05,
|
| 350 |
+
"loss": 0.0642,
|
| 351 |
+
"step": 420
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 10.98,
|
| 355 |
+
"eval_accuracy": 0.7049180327868853,
|
| 356 |
+
"eval_loss": 1.3759475946426392,
|
| 357 |
+
"eval_runtime": 0.9604,
|
| 358 |
+
"eval_samples_per_second": 63.518,
|
| 359 |
+
"eval_steps_per_second": 2.083,
|
| 360 |
+
"step": 420
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 11.24,
|
| 364 |
+
"learning_rate": 4.151662049861496e-05,
|
| 365 |
+
"loss": 0.0588,
|
| 366 |
+
"step": 430
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 11.5,
|
| 370 |
+
"learning_rate": 4.113573407202216e-05,
|
| 371 |
+
"loss": 0.0582,
|
| 372 |
+
"step": 440
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 11.76,
|
| 376 |
+
"learning_rate": 4.075484764542937e-05,
|
| 377 |
+
"loss": 0.0675,
|
| 378 |
+
"step": 450
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 12.0,
|
| 382 |
+
"eval_accuracy": 0.7213114754098361,
|
| 383 |
+
"eval_loss": 1.4282864332199097,
|
| 384 |
+
"eval_runtime": 0.9099,
|
| 385 |
+
"eval_samples_per_second": 67.038,
|
| 386 |
+
"eval_steps_per_second": 2.198,
|
| 387 |
+
"step": 459
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 12.03,
|
| 391 |
+
"learning_rate": 4.037396121883656e-05,
|
| 392 |
+
"loss": 0.066,
|
| 393 |
+
"step": 460
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 12.29,
|
| 397 |
+
"learning_rate": 3.999307479224377e-05,
|
| 398 |
+
"loss": 0.0565,
|
| 399 |
+
"step": 470
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 12.55,
|
| 403 |
+
"learning_rate": 3.961218836565097e-05,
|
| 404 |
+
"loss": 0.0619,
|
| 405 |
+
"step": 480
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 12.81,
|
| 409 |
+
"learning_rate": 3.923130193905817e-05,
|
| 410 |
+
"loss": 0.0694,
|
| 411 |
+
"step": 490
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 12.99,
|
| 415 |
+
"eval_accuracy": 0.7213114754098361,
|
| 416 |
+
"eval_loss": 1.361587643623352,
|
| 417 |
+
"eval_runtime": 0.9412,
|
| 418 |
+
"eval_samples_per_second": 64.813,
|
| 419 |
+
"eval_steps_per_second": 2.125,
|
| 420 |
+
"step": 497
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 13.07,
|
| 424 |
+
"learning_rate": 3.885041551246538e-05,
|
| 425 |
+
"loss": 0.074,
|
| 426 |
+
"step": 500
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 13.33,
|
| 430 |
+
"learning_rate": 3.8469529085872574e-05,
|
| 431 |
+
"loss": 0.0706,
|
| 432 |
+
"step": 510
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 13.59,
|
| 436 |
+
"learning_rate": 3.808864265927978e-05,
|
| 437 |
+
"loss": 0.0495,
|
| 438 |
+
"step": 520
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 13.86,
|
| 442 |
+
"learning_rate": 3.770775623268698e-05,
|
| 443 |
+
"loss": 0.0689,
|
| 444 |
+
"step": 530
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 13.99,
|
| 448 |
+
"eval_accuracy": 0.7213114754098361,
|
| 449 |
+
"eval_loss": 1.3863976001739502,
|
| 450 |
+
"eval_runtime": 1.0042,
|
| 451 |
+
"eval_samples_per_second": 60.748,
|
| 452 |
+
"eval_steps_per_second": 1.992,
|
| 453 |
+
"step": 535
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 14.12,
|
| 457 |
+
"learning_rate": 3.732686980609418e-05,
|
| 458 |
+
"loss": 0.049,
|
| 459 |
+
"step": 540
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 14.38,
|
| 463 |
+
"learning_rate": 3.694598337950139e-05,
|
| 464 |
+
"loss": 0.0489,
|
| 465 |
+
"step": 550
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 14.64,
|
| 469 |
+
"learning_rate": 3.6565096952908585e-05,
|
| 470 |
+
"loss": 0.0458,
|
| 471 |
+
"step": 560
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 14.9,
|
| 475 |
+
"learning_rate": 3.618421052631579e-05,
|
| 476 |
+
"loss": 0.0378,
|
| 477 |
+
"step": 570
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 14.98,
|
| 481 |
+
"eval_accuracy": 0.7213114754098361,
|
| 482 |
+
"eval_loss": 1.4321750402450562,
|
| 483 |
+
"eval_runtime": 0.9754,
|
| 484 |
+
"eval_samples_per_second": 62.537,
|
| 485 |
+
"eval_steps_per_second": 2.05,
|
| 486 |
+
"step": 573
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 15.16,
|
| 490 |
+
"learning_rate": 3.5803324099722994e-05,
|
| 491 |
+
"loss": 0.0311,
|
| 492 |
+
"step": 580
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 15.42,
|
| 496 |
+
"learning_rate": 3.5422437673130195e-05,
|
| 497 |
+
"loss": 0.0626,
|
| 498 |
+
"step": 590
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 15.69,
|
| 502 |
+
"learning_rate": 3.5041551246537395e-05,
|
| 503 |
+
"loss": 0.0515,
|
| 504 |
+
"step": 600
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 15.95,
|
| 508 |
+
"learning_rate": 3.4660664819944596e-05,
|
| 509 |
+
"loss": 0.0472,
|
| 510 |
+
"step": 610
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 16.0,
|
| 514 |
+
"eval_accuracy": 0.7213114754098361,
|
| 515 |
+
"eval_loss": 1.600350260734558,
|
| 516 |
+
"eval_runtime": 0.907,
|
| 517 |
+
"eval_samples_per_second": 67.252,
|
| 518 |
+
"eval_steps_per_second": 2.205,
|
| 519 |
+
"step": 612
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 16.21,
|
| 523 |
+
"learning_rate": 3.4279778393351804e-05,
|
| 524 |
+
"loss": 0.0378,
|
| 525 |
+
"step": 620
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 16.47,
|
| 529 |
+
"learning_rate": 3.3898891966759005e-05,
|
| 530 |
+
"loss": 0.0345,
|
| 531 |
+
"step": 630
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 16.73,
|
| 535 |
+
"learning_rate": 3.3518005540166206e-05,
|
| 536 |
+
"loss": 0.0591,
|
| 537 |
+
"step": 640
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 16.99,
|
| 541 |
+
"learning_rate": 3.313711911357341e-05,
|
| 542 |
+
"loss": 0.044,
|
| 543 |
+
"step": 650
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 16.99,
|
| 547 |
+
"eval_accuracy": 0.7049180327868853,
|
| 548 |
+
"eval_loss": 1.5810414552688599,
|
| 549 |
+
"eval_runtime": 0.9357,
|
| 550 |
+
"eval_samples_per_second": 65.194,
|
| 551 |
+
"eval_steps_per_second": 2.138,
|
| 552 |
+
"step": 650
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 17.25,
|
| 556 |
+
"learning_rate": 3.275623268698061e-05,
|
| 557 |
+
"loss": 0.0495,
|
| 558 |
+
"step": 660
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 17.52,
|
| 562 |
+
"learning_rate": 3.2375346260387815e-05,
|
| 563 |
+
"loss": 0.0409,
|
| 564 |
+
"step": 670
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 17.78,
|
| 568 |
+
"learning_rate": 3.1994459833795016e-05,
|
| 569 |
+
"loss": 0.0386,
|
| 570 |
+
"step": 680
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 17.99,
|
| 574 |
+
"eval_accuracy": 0.6885245901639344,
|
| 575 |
+
"eval_loss": 1.640351414680481,
|
| 576 |
+
"eval_runtime": 0.9225,
|
| 577 |
+
"eval_samples_per_second": 66.127,
|
| 578 |
+
"eval_steps_per_second": 2.168,
|
| 579 |
+
"step": 688
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 18.04,
|
| 583 |
+
"learning_rate": 3.161357340720222e-05,
|
| 584 |
+
"loss": 0.0323,
|
| 585 |
+
"step": 690
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 18.3,
|
| 589 |
+
"learning_rate": 3.123268698060942e-05,
|
| 590 |
+
"loss": 0.0399,
|
| 591 |
+
"step": 700
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 18.56,
|
| 595 |
+
"learning_rate": 3.085180055401662e-05,
|
| 596 |
+
"loss": 0.0475,
|
| 597 |
+
"step": 710
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 18.82,
|
| 601 |
+
"learning_rate": 3.0470914127423827e-05,
|
| 602 |
+
"loss": 0.0341,
|
| 603 |
+
"step": 720
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 18.98,
|
| 607 |
+
"eval_accuracy": 0.7377049180327869,
|
| 608 |
+
"eval_loss": 1.5698273181915283,
|
| 609 |
+
"eval_runtime": 0.9437,
|
| 610 |
+
"eval_samples_per_second": 64.641,
|
| 611 |
+
"eval_steps_per_second": 2.119,
|
| 612 |
+
"step": 726
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 19.08,
|
| 616 |
+
"learning_rate": 3.0090027700831024e-05,
|
| 617 |
+
"loss": 0.0457,
|
| 618 |
+
"step": 730
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 19.35,
|
| 622 |
+
"learning_rate": 2.9709141274238225e-05,
|
| 623 |
+
"loss": 0.0337,
|
| 624 |
+
"step": 740
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 19.61,
|
| 628 |
+
"learning_rate": 2.9328254847645433e-05,
|
| 629 |
+
"loss": 0.0291,
|
| 630 |
+
"step": 750
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 19.87,
|
| 634 |
+
"learning_rate": 2.894736842105263e-05,
|
| 635 |
+
"loss": 0.0328,
|
| 636 |
+
"step": 760
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 20.0,
|
| 640 |
+
"eval_accuracy": 0.6885245901639344,
|
| 641 |
+
"eval_loss": 1.6720421314239502,
|
| 642 |
+
"eval_runtime": 0.925,
|
| 643 |
+
"eval_samples_per_second": 65.945,
|
| 644 |
+
"eval_steps_per_second": 2.162,
|
| 645 |
+
"step": 765
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 20.13,
|
| 649 |
+
"learning_rate": 2.8566481994459838e-05,
|
| 650 |
+
"loss": 0.0226,
|
| 651 |
+
"step": 770
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 20.39,
|
| 655 |
+
"learning_rate": 2.8185595567867035e-05,
|
| 656 |
+
"loss": 0.027,
|
| 657 |
+
"step": 780
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 20.65,
|
| 661 |
+
"learning_rate": 2.7804709141274236e-05,
|
| 662 |
+
"loss": 0.0241,
|
| 663 |
+
"step": 790
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 20.92,
|
| 667 |
+
"learning_rate": 2.742382271468144e-05,
|
| 668 |
+
"loss": 0.0444,
|
| 669 |
+
"step": 800
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 20.99,
|
| 673 |
+
"eval_accuracy": 0.7213114754098361,
|
| 674 |
+
"eval_loss": 1.6269422769546509,
|
| 675 |
+
"eval_runtime": 0.9772,
|
| 676 |
+
"eval_samples_per_second": 62.423,
|
| 677 |
+
"eval_steps_per_second": 2.047,
|
| 678 |
+
"step": 803
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 21.18,
|
| 682 |
+
"learning_rate": 2.7042936288088645e-05,
|
| 683 |
+
"loss": 0.0312,
|
| 684 |
+
"step": 810
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 21.44,
|
| 688 |
+
"learning_rate": 2.6662049861495846e-05,
|
| 689 |
+
"loss": 0.0254,
|
| 690 |
+
"step": 820
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 21.7,
|
| 694 |
+
"learning_rate": 2.6281163434903047e-05,
|
| 695 |
+
"loss": 0.0239,
|
| 696 |
+
"step": 830
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 21.96,
|
| 700 |
+
"learning_rate": 2.590027700831025e-05,
|
| 701 |
+
"loss": 0.0342,
|
| 702 |
+
"step": 840
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 21.99,
|
| 706 |
+
"eval_accuracy": 0.7377049180327869,
|
| 707 |
+
"eval_loss": 1.6344714164733887,
|
| 708 |
+
"eval_runtime": 0.938,
|
| 709 |
+
"eval_samples_per_second": 65.032,
|
| 710 |
+
"eval_steps_per_second": 2.132,
|
| 711 |
+
"step": 841
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 22.22,
|
| 715 |
+
"learning_rate": 2.5519390581717452e-05,
|
| 716 |
+
"loss": 0.0203,
|
| 717 |
+
"step": 850
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 22.48,
|
| 721 |
+
"learning_rate": 2.5138504155124656e-05,
|
| 722 |
+
"loss": 0.0249,
|
| 723 |
+
"step": 860
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 22.75,
|
| 727 |
+
"learning_rate": 2.4757617728531857e-05,
|
| 728 |
+
"loss": 0.0324,
|
| 729 |
+
"step": 870
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 22.98,
|
| 733 |
+
"eval_accuracy": 0.7049180327868853,
|
| 734 |
+
"eval_loss": 1.7916051149368286,
|
| 735 |
+
"eval_runtime": 0.9514,
|
| 736 |
+
"eval_samples_per_second": 64.117,
|
| 737 |
+
"eval_steps_per_second": 2.102,
|
| 738 |
+
"step": 879
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 23.01,
|
| 742 |
+
"learning_rate": 2.4376731301939058e-05,
|
| 743 |
+
"loss": 0.0287,
|
| 744 |
+
"step": 880
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 23.27,
|
| 748 |
+
"learning_rate": 2.3995844875346262e-05,
|
| 749 |
+
"loss": 0.0389,
|
| 750 |
+
"step": 890
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 23.53,
|
| 754 |
+
"learning_rate": 2.3614958448753463e-05,
|
| 755 |
+
"loss": 0.0333,
|
| 756 |
+
"step": 900
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 23.79,
|
| 760 |
+
"learning_rate": 2.3234072022160667e-05,
|
| 761 |
+
"loss": 0.023,
|
| 762 |
+
"step": 910
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 24.0,
|
| 766 |
+
"eval_accuracy": 0.6885245901639344,
|
| 767 |
+
"eval_loss": 1.8753165006637573,
|
| 768 |
+
"eval_runtime": 0.9604,
|
| 769 |
+
"eval_samples_per_second": 63.517,
|
| 770 |
+
"eval_steps_per_second": 2.083,
|
| 771 |
+
"step": 918
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 24.05,
|
| 775 |
+
"learning_rate": 2.2853185595567865e-05,
|
| 776 |
+
"loss": 0.0264,
|
| 777 |
+
"step": 920
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 24.31,
|
| 781 |
+
"learning_rate": 2.247229916897507e-05,
|
| 782 |
+
"loss": 0.0305,
|
| 783 |
+
"step": 930
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 24.58,
|
| 787 |
+
"learning_rate": 2.2091412742382273e-05,
|
| 788 |
+
"loss": 0.0265,
|
| 789 |
+
"step": 940
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 24.84,
|
| 793 |
+
"learning_rate": 2.1710526315789474e-05,
|
| 794 |
+
"loss": 0.048,
|
| 795 |
+
"step": 950
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 24.99,
|
| 799 |
+
"eval_accuracy": 0.7377049180327869,
|
| 800 |
+
"eval_loss": 1.767918586730957,
|
| 801 |
+
"eval_runtime": 0.9362,
|
| 802 |
+
"eval_samples_per_second": 65.159,
|
| 803 |
+
"eval_steps_per_second": 2.136,
|
| 804 |
+
"step": 956
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 25.1,
|
| 808 |
+
"learning_rate": 2.132963988919668e-05,
|
| 809 |
+
"loss": 0.0378,
|
| 810 |
+
"step": 960
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 25.36,
|
| 814 |
+
"learning_rate": 2.094875346260388e-05,
|
| 815 |
+
"loss": 0.0326,
|
| 816 |
+
"step": 970
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 25.62,
|
| 820 |
+
"learning_rate": 2.056786703601108e-05,
|
| 821 |
+
"loss": 0.0228,
|
| 822 |
+
"step": 980
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 25.88,
|
| 826 |
+
"learning_rate": 2.018698060941828e-05,
|
| 827 |
+
"loss": 0.0202,
|
| 828 |
+
"step": 990
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 25.99,
|
| 832 |
+
"eval_accuracy": 0.7540983606557377,
|
| 833 |
+
"eval_loss": 1.7211973667144775,
|
| 834 |
+
"eval_runtime": 0.9572,
|
| 835 |
+
"eval_samples_per_second": 63.731,
|
| 836 |
+
"eval_steps_per_second": 2.09,
|
| 837 |
+
"step": 994
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 26.14,
|
| 841 |
+
"learning_rate": 1.9806094182825486e-05,
|
| 842 |
+
"loss": 0.023,
|
| 843 |
+
"step": 1000
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 26.41,
|
| 847 |
+
"learning_rate": 1.942520775623269e-05,
|
| 848 |
+
"loss": 0.0152,
|
| 849 |
+
"step": 1010
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 26.67,
|
| 853 |
+
"learning_rate": 1.904432132963989e-05,
|
| 854 |
+
"loss": 0.0267,
|
| 855 |
+
"step": 1020
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 26.93,
|
| 859 |
+
"learning_rate": 1.866343490304709e-05,
|
| 860 |
+
"loss": 0.0336,
|
| 861 |
+
"step": 1030
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 26.98,
|
| 865 |
+
"eval_accuracy": 0.7377049180327869,
|
| 866 |
+
"eval_loss": 1.7305350303649902,
|
| 867 |
+
"eval_runtime": 0.9424,
|
| 868 |
+
"eval_samples_per_second": 64.731,
|
| 869 |
+
"eval_steps_per_second": 2.122,
|
| 870 |
+
"step": 1032
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 27.19,
|
| 874 |
+
"learning_rate": 1.8282548476454293e-05,
|
| 875 |
+
"loss": 0.0205,
|
| 876 |
+
"step": 1040
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 27.45,
|
| 880 |
+
"learning_rate": 1.7901662049861497e-05,
|
| 881 |
+
"loss": 0.0316,
|
| 882 |
+
"step": 1050
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 27.71,
|
| 886 |
+
"learning_rate": 1.7520775623268698e-05,
|
| 887 |
+
"loss": 0.023,
|
| 888 |
+
"step": 1060
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"epoch": 27.97,
|
| 892 |
+
"learning_rate": 1.7139889196675902e-05,
|
| 893 |
+
"loss": 0.0163,
|
| 894 |
+
"step": 1070
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 28.0,
|
| 898 |
+
"eval_accuracy": 0.7049180327868853,
|
| 899 |
+
"eval_loss": 1.7576478719711304,
|
| 900 |
+
"eval_runtime": 1.0009,
|
| 901 |
+
"eval_samples_per_second": 60.943,
|
| 902 |
+
"eval_steps_per_second": 1.998,
|
| 903 |
+
"step": 1071
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 28.24,
|
| 907 |
+
"learning_rate": 1.6759002770083103e-05,
|
| 908 |
+
"loss": 0.0183,
|
| 909 |
+
"step": 1080
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 28.5,
|
| 913 |
+
"learning_rate": 1.6378116343490304e-05,
|
| 914 |
+
"loss": 0.0432,
|
| 915 |
+
"step": 1090
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 28.76,
|
| 919 |
+
"learning_rate": 1.5997229916897508e-05,
|
| 920 |
+
"loss": 0.0186,
|
| 921 |
+
"step": 1100
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 28.99,
|
| 925 |
+
"eval_accuracy": 0.7377049180327869,
|
| 926 |
+
"eval_loss": 1.7540286779403687,
|
| 927 |
+
"eval_runtime": 0.9541,
|
| 928 |
+
"eval_samples_per_second": 63.935,
|
| 929 |
+
"eval_steps_per_second": 2.096,
|
| 930 |
+
"step": 1109
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 29.02,
|
| 934 |
+
"learning_rate": 1.561634349030471e-05,
|
| 935 |
+
"loss": 0.0181,
|
| 936 |
+
"step": 1110
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 29.28,
|
| 940 |
+
"learning_rate": 1.5235457063711913e-05,
|
| 941 |
+
"loss": 0.0186,
|
| 942 |
+
"step": 1120
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 29.54,
|
| 946 |
+
"learning_rate": 1.4854570637119112e-05,
|
| 947 |
+
"loss": 0.0112,
|
| 948 |
+
"step": 1130
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 29.8,
|
| 952 |
+
"learning_rate": 1.4473684210526315e-05,
|
| 953 |
+
"loss": 0.0189,
|
| 954 |
+
"step": 1140
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 29.99,
|
| 958 |
+
"eval_accuracy": 0.7540983606557377,
|
| 959 |
+
"eval_loss": 1.6593692302703857,
|
| 960 |
+
"eval_runtime": 0.9808,
|
| 961 |
+
"eval_samples_per_second": 62.194,
|
| 962 |
+
"eval_steps_per_second": 2.039,
|
| 963 |
+
"step": 1147
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 30.07,
|
| 967 |
+
"learning_rate": 1.4092797783933518e-05,
|
| 968 |
+
"loss": 0.0205,
|
| 969 |
+
"step": 1150
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 30.33,
|
| 973 |
+
"learning_rate": 1.371191135734072e-05,
|
| 974 |
+
"loss": 0.0135,
|
| 975 |
+
"step": 1160
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 30.59,
|
| 979 |
+
"learning_rate": 1.3331024930747923e-05,
|
| 980 |
+
"loss": 0.0116,
|
| 981 |
+
"step": 1170
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 30.85,
|
| 985 |
+
"learning_rate": 1.2950138504155125e-05,
|
| 986 |
+
"loss": 0.039,
|
| 987 |
+
"step": 1180
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 30.98,
|
| 991 |
+
"eval_accuracy": 0.7213114754098361,
|
| 992 |
+
"eval_loss": 1.7422717809677124,
|
| 993 |
+
"eval_runtime": 0.9576,
|
| 994 |
+
"eval_samples_per_second": 63.702,
|
| 995 |
+
"eval_steps_per_second": 2.089,
|
| 996 |
+
"step": 1185
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 31.11,
|
| 1000 |
+
"learning_rate": 1.2569252077562328e-05,
|
| 1001 |
+
"loss": 0.0209,
|
| 1002 |
+
"step": 1190
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 31.37,
|
| 1006 |
+
"learning_rate": 1.2188365650969529e-05,
|
| 1007 |
+
"loss": 0.0217,
|
| 1008 |
+
"step": 1200
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 31.63,
|
| 1012 |
+
"learning_rate": 1.1807479224376732e-05,
|
| 1013 |
+
"loss": 0.0242,
|
| 1014 |
+
"step": 1210
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 31.9,
|
| 1018 |
+
"learning_rate": 1.1426592797783932e-05,
|
| 1019 |
+
"loss": 0.0194,
|
| 1020 |
+
"step": 1220
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 32.0,
|
| 1024 |
+
"eval_accuracy": 0.7377049180327869,
|
| 1025 |
+
"eval_loss": 1.7148489952087402,
|
| 1026 |
+
"eval_runtime": 1.0439,
|
| 1027 |
+
"eval_samples_per_second": 58.435,
|
| 1028 |
+
"eval_steps_per_second": 1.916,
|
| 1029 |
+
"step": 1224
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 32.16,
|
| 1033 |
+
"learning_rate": 1.1045706371191137e-05,
|
| 1034 |
+
"loss": 0.0153,
|
| 1035 |
+
"step": 1230
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 32.42,
|
| 1039 |
+
"learning_rate": 1.066481994459834e-05,
|
| 1040 |
+
"loss": 0.0214,
|
| 1041 |
+
"step": 1240
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 32.68,
|
| 1045 |
+
"learning_rate": 1.028393351800554e-05,
|
| 1046 |
+
"loss": 0.017,
|
| 1047 |
+
"step": 1250
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 32.94,
|
| 1051 |
+
"learning_rate": 9.903047091412743e-06,
|
| 1052 |
+
"loss": 0.0205,
|
| 1053 |
+
"step": 1260
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 32.99,
|
| 1057 |
+
"eval_accuracy": 0.7377049180327869,
|
| 1058 |
+
"eval_loss": 1.6965419054031372,
|
| 1059 |
+
"eval_runtime": 0.9377,
|
| 1060 |
+
"eval_samples_per_second": 65.055,
|
| 1061 |
+
"eval_steps_per_second": 2.133,
|
| 1062 |
+
"step": 1262
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 33.2,
|
| 1066 |
+
"learning_rate": 9.522160664819945e-06,
|
| 1067 |
+
"loss": 0.0069,
|
| 1068 |
+
"step": 1270
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 33.46,
|
| 1072 |
+
"learning_rate": 9.141274238227146e-06,
|
| 1073 |
+
"loss": 0.0153,
|
| 1074 |
+
"step": 1280
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 33.73,
|
| 1078 |
+
"learning_rate": 8.760387811634349e-06,
|
| 1079 |
+
"loss": 0.024,
|
| 1080 |
+
"step": 1290
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 33.99,
|
| 1084 |
+
"learning_rate": 8.379501385041551e-06,
|
| 1085 |
+
"loss": 0.0186,
|
| 1086 |
+
"step": 1300
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 33.99,
|
| 1090 |
+
"eval_accuracy": 0.7540983606557377,
|
| 1091 |
+
"eval_loss": 1.7553398609161377,
|
| 1092 |
+
"eval_runtime": 0.9513,
|
| 1093 |
+
"eval_samples_per_second": 64.125,
|
| 1094 |
+
"eval_steps_per_second": 2.102,
|
| 1095 |
+
"step": 1300
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 34.25,
|
| 1099 |
+
"learning_rate": 7.998614958448754e-06,
|
| 1100 |
+
"loss": 0.0094,
|
| 1101 |
+
"step": 1310
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 34.51,
|
| 1105 |
+
"learning_rate": 7.617728531855957e-06,
|
| 1106 |
+
"loss": 0.0176,
|
| 1107 |
+
"step": 1320
|
| 1108 |
+
},
|
| 1109 |
+
{
|
| 1110 |
+
"epoch": 34.77,
|
| 1111 |
+
"learning_rate": 7.2368421052631575e-06,
|
| 1112 |
+
"loss": 0.0177,
|
| 1113 |
+
"step": 1330
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 34.98,
|
| 1117 |
+
"eval_accuracy": 0.7377049180327869,
|
| 1118 |
+
"eval_loss": 1.7475531101226807,
|
| 1119 |
+
"eval_runtime": 0.9569,
|
| 1120 |
+
"eval_samples_per_second": 63.746,
|
| 1121 |
+
"eval_steps_per_second": 2.09,
|
| 1122 |
+
"step": 1338
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 35.03,
|
| 1126 |
+
"learning_rate": 6.85595567867036e-06,
|
| 1127 |
+
"loss": 0.0166,
|
| 1128 |
+
"step": 1340
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 35.29,
|
| 1132 |
+
"learning_rate": 6.475069252077563e-06,
|
| 1133 |
+
"loss": 0.0109,
|
| 1134 |
+
"step": 1350
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 35.56,
|
| 1138 |
+
"learning_rate": 6.0941828254847645e-06,
|
| 1139 |
+
"loss": 0.0134,
|
| 1140 |
+
"step": 1360
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 35.82,
|
| 1144 |
+
"learning_rate": 5.713296398891966e-06,
|
| 1145 |
+
"loss": 0.0132,
|
| 1146 |
+
"step": 1370
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 36.0,
|
| 1150 |
+
"eval_accuracy": 0.7540983606557377,
|
| 1151 |
+
"eval_loss": 1.750593662261963,
|
| 1152 |
+
"eval_runtime": 0.9217,
|
| 1153 |
+
"eval_samples_per_second": 66.183,
|
| 1154 |
+
"eval_steps_per_second": 2.17,
|
| 1155 |
+
"step": 1377
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 36.08,
|
| 1159 |
+
"learning_rate": 5.33240997229917e-06,
|
| 1160 |
+
"loss": 0.0117,
|
| 1161 |
+
"step": 1380
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 36.34,
|
| 1165 |
+
"learning_rate": 4.951523545706371e-06,
|
| 1166 |
+
"loss": 0.0091,
|
| 1167 |
+
"step": 1390
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 36.6,
|
| 1171 |
+
"learning_rate": 4.570637119113573e-06,
|
| 1172 |
+
"loss": 0.0144,
|
| 1173 |
+
"step": 1400
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 36.86,
|
| 1177 |
+
"learning_rate": 4.189750692520776e-06,
|
| 1178 |
+
"loss": 0.0068,
|
| 1179 |
+
"step": 1410
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 36.99,
|
| 1183 |
+
"eval_accuracy": 0.7377049180327869,
|
| 1184 |
+
"eval_loss": 1.6917140483856201,
|
| 1185 |
+
"eval_runtime": 0.9809,
|
| 1186 |
+
"eval_samples_per_second": 62.188,
|
| 1187 |
+
"eval_steps_per_second": 2.039,
|
| 1188 |
+
"step": 1415
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 37.12,
|
| 1192 |
+
"learning_rate": 3.8088642659279783e-06,
|
| 1193 |
+
"loss": 0.0165,
|
| 1194 |
+
"step": 1420
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 37.39,
|
| 1198 |
+
"learning_rate": 3.42797783933518e-06,
|
| 1199 |
+
"loss": 0.0159,
|
| 1200 |
+
"step": 1430
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 37.65,
|
| 1204 |
+
"learning_rate": 3.0470914127423822e-06,
|
| 1205 |
+
"loss": 0.0155,
|
| 1206 |
+
"step": 1440
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 37.91,
|
| 1210 |
+
"learning_rate": 2.666204986149585e-06,
|
| 1211 |
+
"loss": 0.0121,
|
| 1212 |
+
"step": 1450
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"epoch": 37.99,
|
| 1216 |
+
"eval_accuracy": 0.7540983606557377,
|
| 1217 |
+
"eval_loss": 1.727645993232727,
|
| 1218 |
+
"eval_runtime": 1.0046,
|
| 1219 |
+
"eval_samples_per_second": 60.719,
|
| 1220 |
+
"eval_steps_per_second": 1.991,
|
| 1221 |
+
"step": 1453
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 38.17,
|
| 1225 |
+
"learning_rate": 2.2853185595567866e-06,
|
| 1226 |
+
"loss": 0.0115,
|
| 1227 |
+
"step": 1460
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 38.43,
|
| 1231 |
+
"learning_rate": 1.9044321329639892e-06,
|
| 1232 |
+
"loss": 0.0094,
|
| 1233 |
+
"step": 1470
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 38.69,
|
| 1237 |
+
"learning_rate": 1.5235457063711911e-06,
|
| 1238 |
+
"loss": 0.0095,
|
| 1239 |
+
"step": 1480
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 38.95,
|
| 1243 |
+
"learning_rate": 1.1426592797783933e-06,
|
| 1244 |
+
"loss": 0.0129,
|
| 1245 |
+
"step": 1490
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 38.98,
|
| 1249 |
+
"eval_accuracy": 0.7540983606557377,
|
| 1250 |
+
"eval_loss": 1.7218044996261597,
|
| 1251 |
+
"eval_runtime": 0.9303,
|
| 1252 |
+
"eval_samples_per_second": 65.571,
|
| 1253 |
+
"eval_steps_per_second": 2.15,
|
| 1254 |
+
"step": 1491
|
| 1255 |
+
},
|
| 1256 |
+
{
|
| 1257 |
+
"epoch": 39.22,
|
| 1258 |
+
"learning_rate": 7.617728531855956e-07,
|
| 1259 |
+
"loss": 0.0077,
|
| 1260 |
+
"step": 1500
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 39.48,
|
| 1264 |
+
"learning_rate": 3.808864265927978e-07,
|
| 1265 |
+
"loss": 0.0115,
|
| 1266 |
+
"step": 1510
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 39.74,
|
| 1270 |
+
"learning_rate": 0.0,
|
| 1271 |
+
"loss": 0.0067,
|
| 1272 |
+
"step": 1520
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 39.74,
|
| 1276 |
+
"eval_accuracy": 0.7540983606557377,
|
| 1277 |
+
"eval_loss": 1.7220282554626465,
|
| 1278 |
+
"eval_runtime": 0.9466,
|
| 1279 |
+
"eval_samples_per_second": 64.441,
|
| 1280 |
+
"eval_steps_per_second": 2.113,
|
| 1281 |
+
"step": 1520
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 39.74,
|
| 1285 |
+
"step": 1520,
|
| 1286 |
+
"total_flos": 1.5028755889037378e+19,
|
| 1287 |
+
"train_loss": 0.11905086408124159,
|
| 1288 |
+
"train_runtime": 3040.3234,
|
| 1289 |
+
"train_samples_per_second": 64.204,
|
| 1290 |
+
"train_steps_per_second": 0.5
|
| 1291 |
+
}
|
| 1292 |
+
],
|
| 1293 |
+
"logging_steps": 10,
|
| 1294 |
+
"max_steps": 1520,
|
| 1295 |
+
"num_input_tokens_seen": 0,
|
| 1296 |
+
"num_train_epochs": 40,
|
| 1297 |
+
"save_steps": 500,
|
| 1298 |
+
"total_flos": 1.5028755889037378e+19,
|
| 1299 |
+
"train_batch_size": 32,
|
| 1300 |
+
"trial_name": null,
|
| 1301 |
+
"trial_params": null
|
| 1302 |
+
}
|