Upload HAM10000 Model
Browse files- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Jun27_14-14-58_3305a0ea635d/events.out.tfevents.1687878728.3305a0ea635d.3069.7 +3 -0
- train_results.json +8 -0
- trainer_state.json +1465 -0
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_accuracy": 0.8364089775561098,
|
| 4 |
+
"eval_f1": 0.8364089775561098,
|
| 5 |
+
"eval_loss": 0.48100700974464417,
|
| 6 |
+
"eval_precision": 0.8364089775561098,
|
| 7 |
+
"eval_recall": 0.8364089775561098,
|
| 8 |
+
"eval_runtime": 50.0195,
|
| 9 |
+
"eval_samples_per_second": 40.084,
|
| 10 |
+
"eval_steps_per_second": 5.018,
|
| 11 |
+
"total_flos": 8.840915657570304e+18,
|
| 12 |
+
"train_loss": 0.34292665208334816,
|
| 13 |
+
"train_runtime": 3313.463,
|
| 14 |
+
"train_samples_per_second": 9.67,
|
| 15 |
+
"train_steps_per_second": 0.605
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_accuracy": 0.8364089775561098,
|
| 4 |
+
"eval_f1": 0.8364089775561098,
|
| 5 |
+
"eval_loss": 0.48100700974464417,
|
| 6 |
+
"eval_precision": 0.8364089775561098,
|
| 7 |
+
"eval_recall": 0.8364089775561098,
|
| 8 |
+
"eval_runtime": 50.0195,
|
| 9 |
+
"eval_samples_per_second": 40.084,
|
| 10 |
+
"eval_steps_per_second": 5.018
|
| 11 |
+
}
|
runs/Jun27_14-14-58_3305a0ea635d/events.out.tfevents.1687878728.3305a0ea635d.3069.7
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:69f01ff83eb539f982102042c692fea4879a09482c29ce433f057758d3397bef
|
| 3 |
+
size 560
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"total_flos": 8.840915657570304e+18,
|
| 4 |
+
"train_loss": 0.34292665208334816,
|
| 5 |
+
"train_runtime": 3313.463,
|
| 6 |
+
"train_samples_per_second": 9.67,
|
| 7 |
+
"train_steps_per_second": 0.605
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1465 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.48100700974464417,
|
| 3 |
+
"best_model_checkpoint": "./vit-large-HAM-10000-patch-32/checkpoint-1300",
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"global_step": 2004,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.02,
|
| 12 |
+
"learning_rate": 0.00019900199600798404,
|
| 13 |
+
"loss": 1.3217,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.04,
|
| 18 |
+
"learning_rate": 0.00019800399201596808,
|
| 19 |
+
"loss": 0.9691,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.06,
|
| 24 |
+
"learning_rate": 0.0001970059880239521,
|
| 25 |
+
"loss": 0.8831,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.08,
|
| 30 |
+
"learning_rate": 0.00019600798403193614,
|
| 31 |
+
"loss": 0.99,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.1,
|
| 36 |
+
"learning_rate": 0.00019500998003992018,
|
| 37 |
+
"loss": 0.934,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.12,
|
| 42 |
+
"learning_rate": 0.00019401197604790419,
|
| 43 |
+
"loss": 0.7406,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.14,
|
| 48 |
+
"learning_rate": 0.00019301397205588822,
|
| 49 |
+
"loss": 0.7451,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.16,
|
| 54 |
+
"learning_rate": 0.00019201596806387228,
|
| 55 |
+
"loss": 0.7459,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.18,
|
| 60 |
+
"learning_rate": 0.0001910179640718563,
|
| 61 |
+
"loss": 0.6999,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.2,
|
| 66 |
+
"learning_rate": 0.00019001996007984032,
|
| 67 |
+
"loss": 0.6405,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.2,
|
| 72 |
+
"eval_accuracy": 0.7481296758104738,
|
| 73 |
+
"eval_f1": 0.7481296758104738,
|
| 74 |
+
"eval_loss": 0.7318054437637329,
|
| 75 |
+
"eval_precision": 0.7481296758104738,
|
| 76 |
+
"eval_recall": 0.7481296758104738,
|
| 77 |
+
"eval_runtime": 50.7548,
|
| 78 |
+
"eval_samples_per_second": 39.504,
|
| 79 |
+
"eval_steps_per_second": 4.945,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.22,
|
| 84 |
+
"learning_rate": 0.00018902195608782435,
|
| 85 |
+
"loss": 0.7305,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.24,
|
| 90 |
+
"learning_rate": 0.0001880239520958084,
|
| 91 |
+
"loss": 0.7549,
|
| 92 |
+
"step": 120
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.26,
|
| 96 |
+
"learning_rate": 0.00018702594810379242,
|
| 97 |
+
"loss": 0.7151,
|
| 98 |
+
"step": 130
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.28,
|
| 102 |
+
"learning_rate": 0.00018602794411177646,
|
| 103 |
+
"loss": 0.6913,
|
| 104 |
+
"step": 140
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.3,
|
| 108 |
+
"learning_rate": 0.0001850299401197605,
|
| 109 |
+
"loss": 0.7238,
|
| 110 |
+
"step": 150
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.32,
|
| 114 |
+
"learning_rate": 0.00018403193612774452,
|
| 115 |
+
"loss": 0.7664,
|
| 116 |
+
"step": 160
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.34,
|
| 120 |
+
"learning_rate": 0.00018303393213572856,
|
| 121 |
+
"loss": 0.7224,
|
| 122 |
+
"step": 170
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.36,
|
| 126 |
+
"learning_rate": 0.00018203592814371256,
|
| 127 |
+
"loss": 0.6987,
|
| 128 |
+
"step": 180
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.38,
|
| 132 |
+
"learning_rate": 0.00018103792415169662,
|
| 133 |
+
"loss": 0.6706,
|
| 134 |
+
"step": 190
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.4,
|
| 138 |
+
"learning_rate": 0.00018003992015968066,
|
| 139 |
+
"loss": 0.7062,
|
| 140 |
+
"step": 200
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.4,
|
| 144 |
+
"eval_accuracy": 0.741645885286783,
|
| 145 |
+
"eval_f1": 0.741645885286783,
|
| 146 |
+
"eval_loss": 0.7735312581062317,
|
| 147 |
+
"eval_precision": 0.741645885286783,
|
| 148 |
+
"eval_recall": 0.741645885286783,
|
| 149 |
+
"eval_runtime": 50.5169,
|
| 150 |
+
"eval_samples_per_second": 39.69,
|
| 151 |
+
"eval_steps_per_second": 4.969,
|
| 152 |
+
"step": 200
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.42,
|
| 156 |
+
"learning_rate": 0.0001790419161676647,
|
| 157 |
+
"loss": 0.7405,
|
| 158 |
+
"step": 210
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.44,
|
| 162 |
+
"learning_rate": 0.0001780439121756487,
|
| 163 |
+
"loss": 0.7545,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.46,
|
| 168 |
+
"learning_rate": 0.00017704590818363273,
|
| 169 |
+
"loss": 0.6897,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.48,
|
| 174 |
+
"learning_rate": 0.0001760479041916168,
|
| 175 |
+
"loss": 0.5286,
|
| 176 |
+
"step": 240
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.5,
|
| 180 |
+
"learning_rate": 0.00017504990019960083,
|
| 181 |
+
"loss": 0.7209,
|
| 182 |
+
"step": 250
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.52,
|
| 186 |
+
"learning_rate": 0.00017405189620758483,
|
| 187 |
+
"loss": 0.7296,
|
| 188 |
+
"step": 260
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.54,
|
| 192 |
+
"learning_rate": 0.00017305389221556887,
|
| 193 |
+
"loss": 0.6702,
|
| 194 |
+
"step": 270
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.56,
|
| 198 |
+
"learning_rate": 0.0001720558882235529,
|
| 199 |
+
"loss": 0.5001,
|
| 200 |
+
"step": 280
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.58,
|
| 204 |
+
"learning_rate": 0.00017105788423153693,
|
| 205 |
+
"loss": 0.6329,
|
| 206 |
+
"step": 290
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.6,
|
| 210 |
+
"learning_rate": 0.00017005988023952097,
|
| 211 |
+
"loss": 0.6334,
|
| 212 |
+
"step": 300
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.6,
|
| 216 |
+
"eval_accuracy": 0.7780548628428927,
|
| 217 |
+
"eval_f1": 0.7780548628428926,
|
| 218 |
+
"eval_loss": 0.6075150370597839,
|
| 219 |
+
"eval_precision": 0.7780548628428927,
|
| 220 |
+
"eval_recall": 0.7780548628428927,
|
| 221 |
+
"eval_runtime": 50.6315,
|
| 222 |
+
"eval_samples_per_second": 39.6,
|
| 223 |
+
"eval_steps_per_second": 4.957,
|
| 224 |
+
"step": 300
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 0.62,
|
| 228 |
+
"learning_rate": 0.000169061876247505,
|
| 229 |
+
"loss": 0.616,
|
| 230 |
+
"step": 310
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.64,
|
| 234 |
+
"learning_rate": 0.00016806387225548904,
|
| 235 |
+
"loss": 0.7334,
|
| 236 |
+
"step": 320
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.66,
|
| 240 |
+
"learning_rate": 0.00016706586826347307,
|
| 241 |
+
"loss": 0.7264,
|
| 242 |
+
"step": 330
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.68,
|
| 246 |
+
"learning_rate": 0.00016606786427145708,
|
| 247 |
+
"loss": 0.6103,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.7,
|
| 252 |
+
"learning_rate": 0.00016506986027944114,
|
| 253 |
+
"loss": 0.575,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.72,
|
| 258 |
+
"learning_rate": 0.00016407185628742517,
|
| 259 |
+
"loss": 0.624,
|
| 260 |
+
"step": 360
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 0.74,
|
| 264 |
+
"learning_rate": 0.00016307385229540918,
|
| 265 |
+
"loss": 0.5737,
|
| 266 |
+
"step": 370
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.76,
|
| 270 |
+
"learning_rate": 0.0001620758483033932,
|
| 271 |
+
"loss": 0.5027,
|
| 272 |
+
"step": 380
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.78,
|
| 276 |
+
"learning_rate": 0.00016107784431137724,
|
| 277 |
+
"loss": 0.6944,
|
| 278 |
+
"step": 390
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.8,
|
| 282 |
+
"learning_rate": 0.0001600798403193613,
|
| 283 |
+
"loss": 0.7102,
|
| 284 |
+
"step": 400
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.8,
|
| 288 |
+
"eval_accuracy": 0.7660847880299252,
|
| 289 |
+
"eval_f1": 0.7660847880299252,
|
| 290 |
+
"eval_loss": 0.6618326902389526,
|
| 291 |
+
"eval_precision": 0.7660847880299252,
|
| 292 |
+
"eval_recall": 0.7660847880299252,
|
| 293 |
+
"eval_runtime": 50.8524,
|
| 294 |
+
"eval_samples_per_second": 39.428,
|
| 295 |
+
"eval_steps_per_second": 4.936,
|
| 296 |
+
"step": 400
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.82,
|
| 300 |
+
"learning_rate": 0.0001590818363273453,
|
| 301 |
+
"loss": 0.6551,
|
| 302 |
+
"step": 410
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 0.84,
|
| 306 |
+
"learning_rate": 0.00015808383233532935,
|
| 307 |
+
"loss": 0.6185,
|
| 308 |
+
"step": 420
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 0.86,
|
| 312 |
+
"learning_rate": 0.00015708582834331338,
|
| 313 |
+
"loss": 0.6178,
|
| 314 |
+
"step": 430
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.88,
|
| 318 |
+
"learning_rate": 0.0001560878243512974,
|
| 319 |
+
"loss": 0.6607,
|
| 320 |
+
"step": 440
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.9,
|
| 324 |
+
"learning_rate": 0.00015508982035928145,
|
| 325 |
+
"loss": 0.6261,
|
| 326 |
+
"step": 450
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.92,
|
| 330 |
+
"learning_rate": 0.00015409181636726548,
|
| 331 |
+
"loss": 0.5465,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.94,
|
| 336 |
+
"learning_rate": 0.00015309381237524951,
|
| 337 |
+
"loss": 0.6166,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.96,
|
| 342 |
+
"learning_rate": 0.00015209580838323355,
|
| 343 |
+
"loss": 0.6152,
|
| 344 |
+
"step": 480
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.98,
|
| 348 |
+
"learning_rate": 0.00015109780439121756,
|
| 349 |
+
"loss": 0.6233,
|
| 350 |
+
"step": 490
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.0,
|
| 354 |
+
"learning_rate": 0.0001500998003992016,
|
| 355 |
+
"loss": 0.6814,
|
| 356 |
+
"step": 500
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 1.0,
|
| 360 |
+
"eval_accuracy": 0.7890274314214464,
|
| 361 |
+
"eval_f1": 0.7890274314214464,
|
| 362 |
+
"eval_loss": 0.5717381834983826,
|
| 363 |
+
"eval_precision": 0.7890274314214464,
|
| 364 |
+
"eval_recall": 0.7890274314214464,
|
| 365 |
+
"eval_runtime": 50.8936,
|
| 366 |
+
"eval_samples_per_second": 39.396,
|
| 367 |
+
"eval_steps_per_second": 4.932,
|
| 368 |
+
"step": 500
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 1.02,
|
| 372 |
+
"learning_rate": 0.00014910179640718565,
|
| 373 |
+
"loss": 0.5221,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.04,
|
| 378 |
+
"learning_rate": 0.00014810379241516968,
|
| 379 |
+
"loss": 0.3805,
|
| 380 |
+
"step": 520
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.06,
|
| 384 |
+
"learning_rate": 0.0001471057884231537,
|
| 385 |
+
"loss": 0.4732,
|
| 386 |
+
"step": 530
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 1.08,
|
| 390 |
+
"learning_rate": 0.00014610778443113772,
|
| 391 |
+
"loss": 0.3822,
|
| 392 |
+
"step": 540
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 1.1,
|
| 396 |
+
"learning_rate": 0.00014510978043912176,
|
| 397 |
+
"loss": 0.4894,
|
| 398 |
+
"step": 550
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 1.12,
|
| 402 |
+
"learning_rate": 0.00014411177644710582,
|
| 403 |
+
"loss": 0.4372,
|
| 404 |
+
"step": 560
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 1.14,
|
| 408 |
+
"learning_rate": 0.00014311377245508983,
|
| 409 |
+
"loss": 0.4156,
|
| 410 |
+
"step": 570
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 1.16,
|
| 414 |
+
"learning_rate": 0.00014211576846307386,
|
| 415 |
+
"loss": 0.4966,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.18,
|
| 420 |
+
"learning_rate": 0.0001411177644710579,
|
| 421 |
+
"loss": 0.3094,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.2,
|
| 426 |
+
"learning_rate": 0.00014011976047904193,
|
| 427 |
+
"loss": 0.4618,
|
| 428 |
+
"step": 600
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 1.2,
|
| 432 |
+
"eval_accuracy": 0.8029925187032418,
|
| 433 |
+
"eval_f1": 0.8029925187032418,
|
| 434 |
+
"eval_loss": 0.5623579621315002,
|
| 435 |
+
"eval_precision": 0.8029925187032418,
|
| 436 |
+
"eval_recall": 0.8029925187032418,
|
| 437 |
+
"eval_runtime": 50.8212,
|
| 438 |
+
"eval_samples_per_second": 39.452,
|
| 439 |
+
"eval_steps_per_second": 4.939,
|
| 440 |
+
"step": 600
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 1.22,
|
| 444 |
+
"learning_rate": 0.00013912175648702593,
|
| 445 |
+
"loss": 0.3975,
|
| 446 |
+
"step": 610
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 1.24,
|
| 450 |
+
"learning_rate": 0.00013812375249501,
|
| 451 |
+
"loss": 0.5251,
|
| 452 |
+
"step": 620
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 1.26,
|
| 456 |
+
"learning_rate": 0.00013712574850299403,
|
| 457 |
+
"loss": 0.4958,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.28,
|
| 462 |
+
"learning_rate": 0.00013612774451097806,
|
| 463 |
+
"loss": 0.4997,
|
| 464 |
+
"step": 640
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.3,
|
| 468 |
+
"learning_rate": 0.00013512974051896207,
|
| 469 |
+
"loss": 0.4373,
|
| 470 |
+
"step": 650
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 1.32,
|
| 474 |
+
"learning_rate": 0.0001341317365269461,
|
| 475 |
+
"loss": 0.4649,
|
| 476 |
+
"step": 660
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 1.34,
|
| 480 |
+
"learning_rate": 0.00013313373253493016,
|
| 481 |
+
"loss": 0.491,
|
| 482 |
+
"step": 670
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 1.36,
|
| 486 |
+
"learning_rate": 0.0001321357285429142,
|
| 487 |
+
"loss": 0.3951,
|
| 488 |
+
"step": 680
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 1.38,
|
| 492 |
+
"learning_rate": 0.0001311377245508982,
|
| 493 |
+
"loss": 0.3436,
|
| 494 |
+
"step": 690
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 1.4,
|
| 498 |
+
"learning_rate": 0.00013013972055888224,
|
| 499 |
+
"loss": 0.3824,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.4,
|
| 504 |
+
"eval_accuracy": 0.7765586034912718,
|
| 505 |
+
"eval_f1": 0.7765586034912718,
|
| 506 |
+
"eval_loss": 0.5987349152565002,
|
| 507 |
+
"eval_precision": 0.7765586034912718,
|
| 508 |
+
"eval_recall": 0.7765586034912718,
|
| 509 |
+
"eval_runtime": 50.7822,
|
| 510 |
+
"eval_samples_per_second": 39.482,
|
| 511 |
+
"eval_steps_per_second": 4.943,
|
| 512 |
+
"step": 700
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 1.42,
|
| 516 |
+
"learning_rate": 0.00012914171656686627,
|
| 517 |
+
"loss": 0.527,
|
| 518 |
+
"step": 710
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 1.44,
|
| 522 |
+
"learning_rate": 0.0001281437125748503,
|
| 523 |
+
"loss": 0.4923,
|
| 524 |
+
"step": 720
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 1.46,
|
| 528 |
+
"learning_rate": 0.00012714570858283434,
|
| 529 |
+
"loss": 0.4333,
|
| 530 |
+
"step": 730
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 1.48,
|
| 534 |
+
"learning_rate": 0.00012614770459081837,
|
| 535 |
+
"loss": 0.3569,
|
| 536 |
+
"step": 740
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 1.5,
|
| 540 |
+
"learning_rate": 0.0001251497005988024,
|
| 541 |
+
"loss": 0.408,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.52,
|
| 546 |
+
"learning_rate": 0.00012415169660678644,
|
| 547 |
+
"loss": 0.4039,
|
| 548 |
+
"step": 760
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 1.54,
|
| 552 |
+
"learning_rate": 0.00012315369261477045,
|
| 553 |
+
"loss": 0.353,
|
| 554 |
+
"step": 770
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 1.56,
|
| 558 |
+
"learning_rate": 0.0001221556886227545,
|
| 559 |
+
"loss": 0.4503,
|
| 560 |
+
"step": 780
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 1.58,
|
| 564 |
+
"learning_rate": 0.00012115768463073853,
|
| 565 |
+
"loss": 0.453,
|
| 566 |
+
"step": 790
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 1.6,
|
| 570 |
+
"learning_rate": 0.00012015968063872256,
|
| 571 |
+
"loss": 0.4191,
|
| 572 |
+
"step": 800
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 1.6,
|
| 576 |
+
"eval_accuracy": 0.8189526184538654,
|
| 577 |
+
"eval_f1": 0.8189526184538654,
|
| 578 |
+
"eval_loss": 0.5145021677017212,
|
| 579 |
+
"eval_precision": 0.8189526184538654,
|
| 580 |
+
"eval_recall": 0.8189526184538654,
|
| 581 |
+
"eval_runtime": 50.7146,
|
| 582 |
+
"eval_samples_per_second": 39.535,
|
| 583 |
+
"eval_steps_per_second": 4.949,
|
| 584 |
+
"step": 800
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.62,
|
| 588 |
+
"learning_rate": 0.0001191616766467066,
|
| 589 |
+
"loss": 0.3895,
|
| 590 |
+
"step": 810
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 1.64,
|
| 594 |
+
"learning_rate": 0.00011816367265469061,
|
| 595 |
+
"loss": 0.4009,
|
| 596 |
+
"step": 820
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 1.66,
|
| 600 |
+
"learning_rate": 0.00011716566866267466,
|
| 601 |
+
"loss": 0.3728,
|
| 602 |
+
"step": 830
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 1.68,
|
| 606 |
+
"learning_rate": 0.0001161676646706587,
|
| 607 |
+
"loss": 0.3491,
|
| 608 |
+
"step": 840
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 1.7,
|
| 612 |
+
"learning_rate": 0.00011516966067864272,
|
| 613 |
+
"loss": 0.4664,
|
| 614 |
+
"step": 850
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 1.72,
|
| 618 |
+
"learning_rate": 0.00011417165668662675,
|
| 619 |
+
"loss": 0.3706,
|
| 620 |
+
"step": 860
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 1.74,
|
| 624 |
+
"learning_rate": 0.00011317365269461077,
|
| 625 |
+
"loss": 0.5299,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.76,
|
| 630 |
+
"learning_rate": 0.00011217564870259483,
|
| 631 |
+
"loss": 0.307,
|
| 632 |
+
"step": 880
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 1.78,
|
| 636 |
+
"learning_rate": 0.00011117764471057885,
|
| 637 |
+
"loss": 0.5305,
|
| 638 |
+
"step": 890
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 1.8,
|
| 642 |
+
"learning_rate": 0.00011017964071856288,
|
| 643 |
+
"loss": 0.3998,
|
| 644 |
+
"step": 900
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 1.8,
|
| 648 |
+
"eval_accuracy": 0.8089775561097257,
|
| 649 |
+
"eval_f1": 0.8089775561097257,
|
| 650 |
+
"eval_loss": 0.5225972533226013,
|
| 651 |
+
"eval_precision": 0.8089775561097257,
|
| 652 |
+
"eval_recall": 0.8089775561097257,
|
| 653 |
+
"eval_runtime": 50.9464,
|
| 654 |
+
"eval_samples_per_second": 39.355,
|
| 655 |
+
"eval_steps_per_second": 4.927,
|
| 656 |
+
"step": 900
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 1.82,
|
| 660 |
+
"learning_rate": 0.0001091816367265469,
|
| 661 |
+
"loss": 0.5455,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 1.84,
|
| 666 |
+
"learning_rate": 0.00010818363273453094,
|
| 667 |
+
"loss": 0.4205,
|
| 668 |
+
"step": 920
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.86,
|
| 672 |
+
"learning_rate": 0.00010718562874251496,
|
| 673 |
+
"loss": 0.3306,
|
| 674 |
+
"step": 930
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 1.88,
|
| 678 |
+
"learning_rate": 0.00010618762475049902,
|
| 679 |
+
"loss": 0.4821,
|
| 680 |
+
"step": 940
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 1.9,
|
| 684 |
+
"learning_rate": 0.00010518962075848304,
|
| 685 |
+
"loss": 0.3821,
|
| 686 |
+
"step": 950
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 1.92,
|
| 690 |
+
"learning_rate": 0.00010419161676646707,
|
| 691 |
+
"loss": 0.3954,
|
| 692 |
+
"step": 960
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 1.94,
|
| 696 |
+
"learning_rate": 0.0001031936127744511,
|
| 697 |
+
"loss": 0.3839,
|
| 698 |
+
"step": 970
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 1.96,
|
| 702 |
+
"learning_rate": 0.00010219560878243513,
|
| 703 |
+
"loss": 0.5551,
|
| 704 |
+
"step": 980
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 1.98,
|
| 708 |
+
"learning_rate": 0.00010119760479041918,
|
| 709 |
+
"loss": 0.4139,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 2.0,
|
| 714 |
+
"learning_rate": 0.00010019960079840321,
|
| 715 |
+
"loss": 0.4677,
|
| 716 |
+
"step": 1000
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 2.0,
|
| 720 |
+
"eval_accuracy": 0.8219451371571073,
|
| 721 |
+
"eval_f1": 0.8219451371571073,
|
| 722 |
+
"eval_loss": 0.4927147626876831,
|
| 723 |
+
"eval_precision": 0.8219451371571073,
|
| 724 |
+
"eval_recall": 0.8219451371571073,
|
| 725 |
+
"eval_runtime": 51.4193,
|
| 726 |
+
"eval_samples_per_second": 38.993,
|
| 727 |
+
"eval_steps_per_second": 4.881,
|
| 728 |
+
"step": 1000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 2.02,
|
| 732 |
+
"learning_rate": 9.920159680638723e-05,
|
| 733 |
+
"loss": 0.2405,
|
| 734 |
+
"step": 1010
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 2.04,
|
| 738 |
+
"learning_rate": 9.820359281437126e-05,
|
| 739 |
+
"loss": 0.1932,
|
| 740 |
+
"step": 1020
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 2.06,
|
| 744 |
+
"learning_rate": 9.72055888223553e-05,
|
| 745 |
+
"loss": 0.2463,
|
| 746 |
+
"step": 1030
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 2.08,
|
| 750 |
+
"learning_rate": 9.620758483033933e-05,
|
| 751 |
+
"loss": 0.1972,
|
| 752 |
+
"step": 1040
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 2.1,
|
| 756 |
+
"learning_rate": 9.520958083832335e-05,
|
| 757 |
+
"loss": 0.1638,
|
| 758 |
+
"step": 1050
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 2.12,
|
| 762 |
+
"learning_rate": 9.42115768463074e-05,
|
| 763 |
+
"loss": 0.1535,
|
| 764 |
+
"step": 1060
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 2.14,
|
| 768 |
+
"learning_rate": 9.321357285429142e-05,
|
| 769 |
+
"loss": 0.2144,
|
| 770 |
+
"step": 1070
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 2.16,
|
| 774 |
+
"learning_rate": 9.221556886227547e-05,
|
| 775 |
+
"loss": 0.3094,
|
| 776 |
+
"step": 1080
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 2.18,
|
| 780 |
+
"learning_rate": 9.121756487025949e-05,
|
| 781 |
+
"loss": 0.1388,
|
| 782 |
+
"step": 1090
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 2.2,
|
| 786 |
+
"learning_rate": 9.021956087824352e-05,
|
| 787 |
+
"loss": 0.2191,
|
| 788 |
+
"step": 1100
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 2.2,
|
| 792 |
+
"eval_accuracy": 0.828428927680798,
|
| 793 |
+
"eval_f1": 0.8284289276807979,
|
| 794 |
+
"eval_loss": 0.5476893782615662,
|
| 795 |
+
"eval_precision": 0.828428927680798,
|
| 796 |
+
"eval_recall": 0.828428927680798,
|
| 797 |
+
"eval_runtime": 51.1191,
|
| 798 |
+
"eval_samples_per_second": 39.222,
|
| 799 |
+
"eval_steps_per_second": 4.91,
|
| 800 |
+
"step": 1100
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 2.22,
|
| 804 |
+
"learning_rate": 8.922155688622755e-05,
|
| 805 |
+
"loss": 0.1928,
|
| 806 |
+
"step": 1110
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 2.24,
|
| 810 |
+
"learning_rate": 8.822355289421159e-05,
|
| 811 |
+
"loss": 0.1914,
|
| 812 |
+
"step": 1120
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 2.26,
|
| 816 |
+
"learning_rate": 8.722554890219561e-05,
|
| 817 |
+
"loss": 0.2987,
|
| 818 |
+
"step": 1130
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 2.28,
|
| 822 |
+
"learning_rate": 8.622754491017964e-05,
|
| 823 |
+
"loss": 0.1892,
|
| 824 |
+
"step": 1140
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 2.3,
|
| 828 |
+
"learning_rate": 8.522954091816367e-05,
|
| 829 |
+
"loss": 0.1814,
|
| 830 |
+
"step": 1150
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 2.32,
|
| 834 |
+
"learning_rate": 8.423153692614771e-05,
|
| 835 |
+
"loss": 0.2157,
|
| 836 |
+
"step": 1160
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 2.34,
|
| 840 |
+
"learning_rate": 8.323353293413174e-05,
|
| 841 |
+
"loss": 0.2654,
|
| 842 |
+
"step": 1170
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 2.36,
|
| 846 |
+
"learning_rate": 8.223552894211578e-05,
|
| 847 |
+
"loss": 0.236,
|
| 848 |
+
"step": 1180
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 2.38,
|
| 852 |
+
"learning_rate": 8.123752495009981e-05,
|
| 853 |
+
"loss": 0.1711,
|
| 854 |
+
"step": 1190
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 2.4,
|
| 858 |
+
"learning_rate": 8.023952095808383e-05,
|
| 859 |
+
"loss": 0.2302,
|
| 860 |
+
"step": 1200
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 2.4,
|
| 864 |
+
"eval_accuracy": 0.8329177057356608,
|
| 865 |
+
"eval_f1": 0.8329177057356608,
|
| 866 |
+
"eval_loss": 0.5018153786659241,
|
| 867 |
+
"eval_precision": 0.8329177057356608,
|
| 868 |
+
"eval_recall": 0.8329177057356608,
|
| 869 |
+
"eval_runtime": 50.7582,
|
| 870 |
+
"eval_samples_per_second": 39.501,
|
| 871 |
+
"eval_steps_per_second": 4.945,
|
| 872 |
+
"step": 1200
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 2.42,
|
| 876 |
+
"learning_rate": 7.924151696606786e-05,
|
| 877 |
+
"loss": 0.1887,
|
| 878 |
+
"step": 1210
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 2.44,
|
| 882 |
+
"learning_rate": 7.82435129740519e-05,
|
| 883 |
+
"loss": 0.2493,
|
| 884 |
+
"step": 1220
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 2.46,
|
| 888 |
+
"learning_rate": 7.724550898203593e-05,
|
| 889 |
+
"loss": 0.1833,
|
| 890 |
+
"step": 1230
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 2.48,
|
| 894 |
+
"learning_rate": 7.624750499001996e-05,
|
| 895 |
+
"loss": 0.1476,
|
| 896 |
+
"step": 1240
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 2.5,
|
| 900 |
+
"learning_rate": 7.5249500998004e-05,
|
| 901 |
+
"loss": 0.2102,
|
| 902 |
+
"step": 1250
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 2.51,
|
| 906 |
+
"learning_rate": 7.425149700598802e-05,
|
| 907 |
+
"loss": 0.2443,
|
| 908 |
+
"step": 1260
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 2.53,
|
| 912 |
+
"learning_rate": 7.325349301397207e-05,
|
| 913 |
+
"loss": 0.1626,
|
| 914 |
+
"step": 1270
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 2.55,
|
| 918 |
+
"learning_rate": 7.225548902195609e-05,
|
| 919 |
+
"loss": 0.2287,
|
| 920 |
+
"step": 1280
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 2.57,
|
| 924 |
+
"learning_rate": 7.125748502994012e-05,
|
| 925 |
+
"loss": 0.1895,
|
| 926 |
+
"step": 1290
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 2.59,
|
| 930 |
+
"learning_rate": 7.025948103792415e-05,
|
| 931 |
+
"loss": 0.191,
|
| 932 |
+
"step": 1300
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 2.59,
|
| 936 |
+
"eval_accuracy": 0.8364089775561098,
|
| 937 |
+
"eval_f1": 0.8364089775561098,
|
| 938 |
+
"eval_loss": 0.48100700974464417,
|
| 939 |
+
"eval_precision": 0.8364089775561098,
|
| 940 |
+
"eval_recall": 0.8364089775561098,
|
| 941 |
+
"eval_runtime": 50.7539,
|
| 942 |
+
"eval_samples_per_second": 39.504,
|
| 943 |
+
"eval_steps_per_second": 4.945,
|
| 944 |
+
"step": 1300
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 2.61,
|
| 948 |
+
"learning_rate": 6.926147704590819e-05,
|
| 949 |
+
"loss": 0.198,
|
| 950 |
+
"step": 1310
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 2.63,
|
| 954 |
+
"learning_rate": 6.826347305389222e-05,
|
| 955 |
+
"loss": 0.1854,
|
| 956 |
+
"step": 1320
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 2.65,
|
| 960 |
+
"learning_rate": 6.726546906187626e-05,
|
| 961 |
+
"loss": 0.1439,
|
| 962 |
+
"step": 1330
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 2.67,
|
| 966 |
+
"learning_rate": 6.626746506986028e-05,
|
| 967 |
+
"loss": 0.176,
|
| 968 |
+
"step": 1340
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 2.69,
|
| 972 |
+
"learning_rate": 6.526946107784432e-05,
|
| 973 |
+
"loss": 0.2957,
|
| 974 |
+
"step": 1350
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 2.71,
|
| 978 |
+
"learning_rate": 6.427145708582834e-05,
|
| 979 |
+
"loss": 0.1547,
|
| 980 |
+
"step": 1360
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 2.73,
|
| 984 |
+
"learning_rate": 6.327345309381238e-05,
|
| 985 |
+
"loss": 0.1824,
|
| 986 |
+
"step": 1370
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 2.75,
|
| 990 |
+
"learning_rate": 6.227544910179641e-05,
|
| 991 |
+
"loss": 0.2289,
|
| 992 |
+
"step": 1380
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 2.77,
|
| 996 |
+
"learning_rate": 6.127744510978044e-05,
|
| 997 |
+
"loss": 0.1222,
|
| 998 |
+
"step": 1390
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 2.79,
|
| 1002 |
+
"learning_rate": 6.027944111776448e-05,
|
| 1003 |
+
"loss": 0.1736,
|
| 1004 |
+
"step": 1400
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 2.79,
|
| 1008 |
+
"eval_accuracy": 0.8334164588528679,
|
| 1009 |
+
"eval_f1": 0.8334164588528679,
|
| 1010 |
+
"eval_loss": 0.5096083879470825,
|
| 1011 |
+
"eval_precision": 0.8334164588528679,
|
| 1012 |
+
"eval_recall": 0.8334164588528679,
|
| 1013 |
+
"eval_runtime": 51.1686,
|
| 1014 |
+
"eval_samples_per_second": 39.184,
|
| 1015 |
+
"eval_steps_per_second": 4.905,
|
| 1016 |
+
"step": 1400
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 2.81,
|
| 1020 |
+
"learning_rate": 5.9281437125748505e-05,
|
| 1021 |
+
"loss": 0.1708,
|
| 1022 |
+
"step": 1410
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 2.83,
|
| 1026 |
+
"learning_rate": 5.828343313373253e-05,
|
| 1027 |
+
"loss": 0.136,
|
| 1028 |
+
"step": 1420
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 2.85,
|
| 1032 |
+
"learning_rate": 5.728542914171657e-05,
|
| 1033 |
+
"loss": 0.1561,
|
| 1034 |
+
"step": 1430
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 2.87,
|
| 1038 |
+
"learning_rate": 5.62874251497006e-05,
|
| 1039 |
+
"loss": 0.2062,
|
| 1040 |
+
"step": 1440
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 2.89,
|
| 1044 |
+
"learning_rate": 5.5289421157684626e-05,
|
| 1045 |
+
"loss": 0.1754,
|
| 1046 |
+
"step": 1450
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 2.91,
|
| 1050 |
+
"learning_rate": 5.429141716566867e-05,
|
| 1051 |
+
"loss": 0.1593,
|
| 1052 |
+
"step": 1460
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 2.93,
|
| 1056 |
+
"learning_rate": 5.3293413173652694e-05,
|
| 1057 |
+
"loss": 0.1182,
|
| 1058 |
+
"step": 1470
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 2.95,
|
| 1062 |
+
"learning_rate": 5.2295409181636734e-05,
|
| 1063 |
+
"loss": 0.108,
|
| 1064 |
+
"step": 1480
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 2.97,
|
| 1068 |
+
"learning_rate": 5.129740518962076e-05,
|
| 1069 |
+
"loss": 0.1613,
|
| 1070 |
+
"step": 1490
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 2.99,
|
| 1074 |
+
"learning_rate": 5.029940119760479e-05,
|
| 1075 |
+
"loss": 0.1049,
|
| 1076 |
+
"step": 1500
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 2.99,
|
| 1080 |
+
"eval_accuracy": 0.8364089775561098,
|
| 1081 |
+
"eval_f1": 0.8364089775561098,
|
| 1082 |
+
"eval_loss": 0.5944140553474426,
|
| 1083 |
+
"eval_precision": 0.8364089775561098,
|
| 1084 |
+
"eval_recall": 0.8364089775561098,
|
| 1085 |
+
"eval_runtime": 50.1168,
|
| 1086 |
+
"eval_samples_per_second": 40.007,
|
| 1087 |
+
"eval_steps_per_second": 5.008,
|
| 1088 |
+
"step": 1500
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 3.01,
|
| 1092 |
+
"learning_rate": 4.930139720558882e-05,
|
| 1093 |
+
"loss": 0.1163,
|
| 1094 |
+
"step": 1510
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 3.03,
|
| 1098 |
+
"learning_rate": 4.8303393213572856e-05,
|
| 1099 |
+
"loss": 0.0291,
|
| 1100 |
+
"step": 1520
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 3.05,
|
| 1104 |
+
"learning_rate": 4.730538922155689e-05,
|
| 1105 |
+
"loss": 0.0586,
|
| 1106 |
+
"step": 1530
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 3.07,
|
| 1110 |
+
"learning_rate": 4.630738522954092e-05,
|
| 1111 |
+
"loss": 0.0632,
|
| 1112 |
+
"step": 1540
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 3.09,
|
| 1116 |
+
"learning_rate": 4.530938123752495e-05,
|
| 1117 |
+
"loss": 0.0678,
|
| 1118 |
+
"step": 1550
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 3.11,
|
| 1122 |
+
"learning_rate": 4.4311377245508984e-05,
|
| 1123 |
+
"loss": 0.024,
|
| 1124 |
+
"step": 1560
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 3.13,
|
| 1128 |
+
"learning_rate": 4.331337325349302e-05,
|
| 1129 |
+
"loss": 0.072,
|
| 1130 |
+
"step": 1570
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 3.15,
|
| 1134 |
+
"learning_rate": 4.231536926147705e-05,
|
| 1135 |
+
"loss": 0.0856,
|
| 1136 |
+
"step": 1580
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 3.17,
|
| 1140 |
+
"learning_rate": 4.131736526946108e-05,
|
| 1141 |
+
"loss": 0.0277,
|
| 1142 |
+
"step": 1590
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 3.19,
|
| 1146 |
+
"learning_rate": 4.031936127744511e-05,
|
| 1147 |
+
"loss": 0.0612,
|
| 1148 |
+
"step": 1600
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 3.19,
|
| 1152 |
+
"eval_accuracy": 0.8463840399002494,
|
| 1153 |
+
"eval_f1": 0.8463840399002494,
|
| 1154 |
+
"eval_loss": 0.5551748275756836,
|
| 1155 |
+
"eval_precision": 0.8463840399002494,
|
| 1156 |
+
"eval_recall": 0.8463840399002494,
|
| 1157 |
+
"eval_runtime": 50.4053,
|
| 1158 |
+
"eval_samples_per_second": 39.778,
|
| 1159 |
+
"eval_steps_per_second": 4.98,
|
| 1160 |
+
"step": 1600
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 3.21,
|
| 1164 |
+
"learning_rate": 3.9321357285429146e-05,
|
| 1165 |
+
"loss": 0.0901,
|
| 1166 |
+
"step": 1610
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 3.23,
|
| 1170 |
+
"learning_rate": 3.832335329341318e-05,
|
| 1171 |
+
"loss": 0.0457,
|
| 1172 |
+
"step": 1620
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 3.25,
|
| 1176 |
+
"learning_rate": 3.732534930139721e-05,
|
| 1177 |
+
"loss": 0.0714,
|
| 1178 |
+
"step": 1630
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 3.27,
|
| 1182 |
+
"learning_rate": 3.632734530938124e-05,
|
| 1183 |
+
"loss": 0.0542,
|
| 1184 |
+
"step": 1640
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 3.29,
|
| 1188 |
+
"learning_rate": 3.5329341317365274e-05,
|
| 1189 |
+
"loss": 0.0383,
|
| 1190 |
+
"step": 1650
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 3.31,
|
| 1194 |
+
"learning_rate": 3.433133732534931e-05,
|
| 1195 |
+
"loss": 0.0345,
|
| 1196 |
+
"step": 1660
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 3.33,
|
| 1200 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 1201 |
+
"loss": 0.0397,
|
| 1202 |
+
"step": 1670
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 3.35,
|
| 1206 |
+
"learning_rate": 3.233532934131737e-05,
|
| 1207 |
+
"loss": 0.027,
|
| 1208 |
+
"step": 1680
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 3.37,
|
| 1212 |
+
"learning_rate": 3.13373253493014e-05,
|
| 1213 |
+
"loss": 0.0267,
|
| 1214 |
+
"step": 1690
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 3.39,
|
| 1218 |
+
"learning_rate": 3.0339321357285433e-05,
|
| 1219 |
+
"loss": 0.0181,
|
| 1220 |
+
"step": 1700
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 3.39,
|
| 1224 |
+
"eval_accuracy": 0.8433915211970074,
|
| 1225 |
+
"eval_f1": 0.8433915211970074,
|
| 1226 |
+
"eval_loss": 0.6199061274528503,
|
| 1227 |
+
"eval_precision": 0.8433915211970074,
|
| 1228 |
+
"eval_recall": 0.8433915211970074,
|
| 1229 |
+
"eval_runtime": 50.1297,
|
| 1230 |
+
"eval_samples_per_second": 39.996,
|
| 1231 |
+
"eval_steps_per_second": 5.007,
|
| 1232 |
+
"step": 1700
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 3.41,
|
| 1236 |
+
"learning_rate": 2.934131736526946e-05,
|
| 1237 |
+
"loss": 0.0638,
|
| 1238 |
+
"step": 1710
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 3.43,
|
| 1242 |
+
"learning_rate": 2.8343313373253494e-05,
|
| 1243 |
+
"loss": 0.0243,
|
| 1244 |
+
"step": 1720
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 3.45,
|
| 1248 |
+
"learning_rate": 2.7345309381237527e-05,
|
| 1249 |
+
"loss": 0.0567,
|
| 1250 |
+
"step": 1730
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 3.47,
|
| 1254 |
+
"learning_rate": 2.634730538922156e-05,
|
| 1255 |
+
"loss": 0.1117,
|
| 1256 |
+
"step": 1740
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 3.49,
|
| 1260 |
+
"learning_rate": 2.5349301397205588e-05,
|
| 1261 |
+
"loss": 0.014,
|
| 1262 |
+
"step": 1750
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 3.51,
|
| 1266 |
+
"learning_rate": 2.4351297405189622e-05,
|
| 1267 |
+
"loss": 0.0447,
|
| 1268 |
+
"step": 1760
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 3.53,
|
| 1272 |
+
"learning_rate": 2.3353293413173656e-05,
|
| 1273 |
+
"loss": 0.0418,
|
| 1274 |
+
"step": 1770
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 3.55,
|
| 1278 |
+
"learning_rate": 2.2355289421157686e-05,
|
| 1279 |
+
"loss": 0.0522,
|
| 1280 |
+
"step": 1780
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 3.57,
|
| 1284 |
+
"learning_rate": 2.135728542914172e-05,
|
| 1285 |
+
"loss": 0.0357,
|
| 1286 |
+
"step": 1790
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 3.59,
|
| 1290 |
+
"learning_rate": 2.035928143712575e-05,
|
| 1291 |
+
"loss": 0.0816,
|
| 1292 |
+
"step": 1800
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 3.59,
|
| 1296 |
+
"eval_accuracy": 0.8533665835411471,
|
| 1297 |
+
"eval_f1": 0.8533665835411471,
|
| 1298 |
+
"eval_loss": 0.5081092119216919,
|
| 1299 |
+
"eval_precision": 0.8533665835411471,
|
| 1300 |
+
"eval_recall": 0.8533665835411471,
|
| 1301 |
+
"eval_runtime": 49.9754,
|
| 1302 |
+
"eval_samples_per_second": 40.12,
|
| 1303 |
+
"eval_steps_per_second": 5.022,
|
| 1304 |
+
"step": 1800
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 3.61,
|
| 1308 |
+
"learning_rate": 1.9361277445109784e-05,
|
| 1309 |
+
"loss": 0.0194,
|
| 1310 |
+
"step": 1810
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 3.63,
|
| 1314 |
+
"learning_rate": 1.8363273453093814e-05,
|
| 1315 |
+
"loss": 0.0293,
|
| 1316 |
+
"step": 1820
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 3.65,
|
| 1320 |
+
"learning_rate": 1.7365269461077845e-05,
|
| 1321 |
+
"loss": 0.0628,
|
| 1322 |
+
"step": 1830
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 3.67,
|
| 1326 |
+
"learning_rate": 1.6367265469061875e-05,
|
| 1327 |
+
"loss": 0.0687,
|
| 1328 |
+
"step": 1840
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 3.69,
|
| 1332 |
+
"learning_rate": 1.536926147704591e-05,
|
| 1333 |
+
"loss": 0.0692,
|
| 1334 |
+
"step": 1850
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 3.71,
|
| 1338 |
+
"learning_rate": 1.437125748502994e-05,
|
| 1339 |
+
"loss": 0.0444,
|
| 1340 |
+
"step": 1860
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 3.73,
|
| 1344 |
+
"learning_rate": 1.3373253493013973e-05,
|
| 1345 |
+
"loss": 0.0177,
|
| 1346 |
+
"step": 1870
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 3.75,
|
| 1350 |
+
"learning_rate": 1.2375249500998005e-05,
|
| 1351 |
+
"loss": 0.0246,
|
| 1352 |
+
"step": 1880
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 3.77,
|
| 1356 |
+
"learning_rate": 1.1377245508982035e-05,
|
| 1357 |
+
"loss": 0.0482,
|
| 1358 |
+
"step": 1890
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 3.79,
|
| 1362 |
+
"learning_rate": 1.0379241516966067e-05,
|
| 1363 |
+
"loss": 0.039,
|
| 1364 |
+
"step": 1900
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 3.79,
|
| 1368 |
+
"eval_accuracy": 0.8543640897755611,
|
| 1369 |
+
"eval_f1": 0.8543640897755611,
|
| 1370 |
+
"eval_loss": 0.5349257588386536,
|
| 1371 |
+
"eval_precision": 0.8543640897755611,
|
| 1372 |
+
"eval_recall": 0.8543640897755611,
|
| 1373 |
+
"eval_runtime": 50.2863,
|
| 1374 |
+
"eval_samples_per_second": 39.872,
|
| 1375 |
+
"eval_steps_per_second": 4.991,
|
| 1376 |
+
"step": 1900
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 3.81,
|
| 1380 |
+
"learning_rate": 9.3812375249501e-06,
|
| 1381 |
+
"loss": 0.0395,
|
| 1382 |
+
"step": 1910
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 3.83,
|
| 1386 |
+
"learning_rate": 8.383233532934131e-06,
|
| 1387 |
+
"loss": 0.0579,
|
| 1388 |
+
"step": 1920
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 3.85,
|
| 1392 |
+
"learning_rate": 7.3852295409181634e-06,
|
| 1393 |
+
"loss": 0.0262,
|
| 1394 |
+
"step": 1930
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 3.87,
|
| 1398 |
+
"learning_rate": 6.3872255489021955e-06,
|
| 1399 |
+
"loss": 0.0344,
|
| 1400 |
+
"step": 1940
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 3.89,
|
| 1404 |
+
"learning_rate": 5.3892215568862275e-06,
|
| 1405 |
+
"loss": 0.0393,
|
| 1406 |
+
"step": 1950
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 3.91,
|
| 1410 |
+
"learning_rate": 4.39121756487026e-06,
|
| 1411 |
+
"loss": 0.0121,
|
| 1412 |
+
"step": 1960
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 3.93,
|
| 1416 |
+
"learning_rate": 3.3932135728542917e-06,
|
| 1417 |
+
"loss": 0.0825,
|
| 1418 |
+
"step": 1970
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 3.95,
|
| 1422 |
+
"learning_rate": 2.3952095808383237e-06,
|
| 1423 |
+
"loss": 0.0894,
|
| 1424 |
+
"step": 1980
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 3.97,
|
| 1428 |
+
"learning_rate": 1.3972055888223554e-06,
|
| 1429 |
+
"loss": 0.0471,
|
| 1430 |
+
"step": 1990
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 3.99,
|
| 1434 |
+
"learning_rate": 3.992015968063872e-07,
|
| 1435 |
+
"loss": 0.0208,
|
| 1436 |
+
"step": 2000
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 3.99,
|
| 1440 |
+
"eval_accuracy": 0.8543640897755611,
|
| 1441 |
+
"eval_f1": 0.8543640897755611,
|
| 1442 |
+
"eval_loss": 0.5444793701171875,
|
| 1443 |
+
"eval_precision": 0.8543640897755611,
|
| 1444 |
+
"eval_recall": 0.8543640897755611,
|
| 1445 |
+
"eval_runtime": 49.719,
|
| 1446 |
+
"eval_samples_per_second": 40.327,
|
| 1447 |
+
"eval_steps_per_second": 5.048,
|
| 1448 |
+
"step": 2000
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 4.0,
|
| 1452 |
+
"step": 2004,
|
| 1453 |
+
"total_flos": 8.840915657570304e+18,
|
| 1454 |
+
"train_loss": 0.34292665208334816,
|
| 1455 |
+
"train_runtime": 3313.463,
|
| 1456 |
+
"train_samples_per_second": 9.67,
|
| 1457 |
+
"train_steps_per_second": 0.605
|
| 1458 |
+
}
|
| 1459 |
+
],
|
| 1460 |
+
"max_steps": 2004,
|
| 1461 |
+
"num_train_epochs": 4,
|
| 1462 |
+
"total_flos": 8.840915657570304e+18,
|
| 1463 |
+
"trial_name": null,
|
| 1464 |
+
"trial_params": null
|
| 1465 |
+
}
|