Upload
Browse files- trainer_state.json +1204 -0
trainer_state.json
ADDED
|
@@ -0,0 +1,1204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.6788413098236775,
|
| 3 |
+
"best_model_checkpoint": "trained_models/wnut_17/checkpoint-9000",
|
| 4 |
+
"epoch": 21.176470588235293,
|
| 5 |
+
"global_step": 9000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.24,
|
| 12 |
+
"eval_accuracy_score": 0.9205491641772071,
|
| 13 |
+
"eval_f1": 0.0,
|
| 14 |
+
"eval_loss": 0.5049907565116882,
|
| 15 |
+
"eval_precision": 0.0,
|
| 16 |
+
"eval_recall": 0.0,
|
| 17 |
+
"eval_runtime": 6.761,
|
| 18 |
+
"eval_samples_per_second": 149.239,
|
| 19 |
+
"eval_steps_per_second": 18.784,
|
| 20 |
+
"step": 100
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.47,
|
| 24 |
+
"eval_accuracy_score": 0.9205491641772071,
|
| 25 |
+
"eval_f1": 0.0,
|
| 26 |
+
"eval_loss": 0.48477333784103394,
|
| 27 |
+
"eval_precision": 0.0,
|
| 28 |
+
"eval_recall": 0.0,
|
| 29 |
+
"eval_runtime": 6.7798,
|
| 30 |
+
"eval_samples_per_second": 148.825,
|
| 31 |
+
"eval_steps_per_second": 18.732,
|
| 32 |
+
"step": 200
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.71,
|
| 36 |
+
"eval_accuracy_score": 0.9205491641772071,
|
| 37 |
+
"eval_f1": 0.0,
|
| 38 |
+
"eval_loss": 0.3834511935710907,
|
| 39 |
+
"eval_precision": 0.0,
|
| 40 |
+
"eval_recall": 0.0,
|
| 41 |
+
"eval_runtime": 6.7494,
|
| 42 |
+
"eval_samples_per_second": 149.494,
|
| 43 |
+
"eval_steps_per_second": 18.816,
|
| 44 |
+
"step": 300
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.94,
|
| 48 |
+
"eval_accuracy_score": 0.9218203775503718,
|
| 49 |
+
"eval_f1": 0.016241299303944315,
|
| 50 |
+
"eval_loss": 0.3428375720977783,
|
| 51 |
+
"eval_precision": 0.2692307692307692,
|
| 52 |
+
"eval_recall": 0.008373205741626795,
|
| 53 |
+
"eval_runtime": 6.7397,
|
| 54 |
+
"eval_samples_per_second": 149.711,
|
| 55 |
+
"eval_steps_per_second": 18.844,
|
| 56 |
+
"step": 400
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 1.18,
|
| 60 |
+
"learning_rate": 4.803921568627452e-06,
|
| 61 |
+
"loss": 0.4388,
|
| 62 |
+
"step": 500
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 1.18,
|
| 66 |
+
"eval_accuracy_score": 0.9387275154134621,
|
| 67 |
+
"eval_f1": 0.3550877192982456,
|
| 68 |
+
"eval_loss": 0.31836700439453125,
|
| 69 |
+
"eval_precision": 0.4295415959252971,
|
| 70 |
+
"eval_recall": 0.3026315789473684,
|
| 71 |
+
"eval_runtime": 6.749,
|
| 72 |
+
"eval_samples_per_second": 149.504,
|
| 73 |
+
"eval_steps_per_second": 18.818,
|
| 74 |
+
"step": 500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.41,
|
| 78 |
+
"eval_accuracy_score": 0.9413335028284497,
|
| 79 |
+
"eval_f1": 0.40223463687150846,
|
| 80 |
+
"eval_loss": 0.3077085316181183,
|
| 81 |
+
"eval_precision": 0.48322147651006714,
|
| 82 |
+
"eval_recall": 0.3444976076555024,
|
| 83 |
+
"eval_runtime": 7.2416,
|
| 84 |
+
"eval_samples_per_second": 139.333,
|
| 85 |
+
"eval_steps_per_second": 17.537,
|
| 86 |
+
"step": 600
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 1.65,
|
| 90 |
+
"eval_accuracy_score": 0.9449564609419691,
|
| 91 |
+
"eval_f1": 0.46935933147632314,
|
| 92 |
+
"eval_loss": 0.29629671573638916,
|
| 93 |
+
"eval_precision": 0.5616666666666666,
|
| 94 |
+
"eval_recall": 0.40311004784689,
|
| 95 |
+
"eval_runtime": 6.7314,
|
| 96 |
+
"eval_samples_per_second": 149.895,
|
| 97 |
+
"eval_steps_per_second": 18.867,
|
| 98 |
+
"step": 700
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 1.88,
|
| 102 |
+
"eval_accuracy_score": 0.9471810843450074,
|
| 103 |
+
"eval_f1": 0.5139186295503213,
|
| 104 |
+
"eval_loss": 0.2875679135322571,
|
| 105 |
+
"eval_precision": 0.6371681415929203,
|
| 106 |
+
"eval_recall": 0.430622009569378,
|
| 107 |
+
"eval_runtime": 6.7537,
|
| 108 |
+
"eval_samples_per_second": 149.401,
|
| 109 |
+
"eval_steps_per_second": 18.805,
|
| 110 |
+
"step": 800
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 2.12,
|
| 114 |
+
"eval_accuracy_score": 0.949278586410729,
|
| 115 |
+
"eval_f1": 0.5329849771391247,
|
| 116 |
+
"eval_loss": 0.27145618200302124,
|
| 117 |
+
"eval_precision": 0.5870503597122302,
|
| 118 |
+
"eval_recall": 0.4880382775119617,
|
| 119 |
+
"eval_runtime": 6.7363,
|
| 120 |
+
"eval_samples_per_second": 149.786,
|
| 121 |
+
"eval_steps_per_second": 18.853,
|
| 122 |
+
"step": 900
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 2.35,
|
| 126 |
+
"learning_rate": 4.607843137254902e-06,
|
| 127 |
+
"loss": 0.1974,
|
| 128 |
+
"step": 1000
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 2.35,
|
| 132 |
+
"eval_accuracy_score": 0.9492150257420708,
|
| 133 |
+
"eval_f1": 0.5209424083769634,
|
| 134 |
+
"eval_loss": 0.2602783441543579,
|
| 135 |
+
"eval_precision": 0.5751445086705202,
|
| 136 |
+
"eval_recall": 0.47607655502392343,
|
| 137 |
+
"eval_runtime": 6.736,
|
| 138 |
+
"eval_samples_per_second": 149.792,
|
| 139 |
+
"eval_steps_per_second": 18.854,
|
| 140 |
+
"step": 1000
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 2.59,
|
| 144 |
+
"eval_accuracy_score": 0.9504862391152354,
|
| 145 |
+
"eval_f1": 0.5558510638297872,
|
| 146 |
+
"eval_loss": 0.24513839185237885,
|
| 147 |
+
"eval_precision": 0.625748502994012,
|
| 148 |
+
"eval_recall": 0.5,
|
| 149 |
+
"eval_runtime": 7.332,
|
| 150 |
+
"eval_samples_per_second": 137.616,
|
| 151 |
+
"eval_steps_per_second": 17.321,
|
| 152 |
+
"step": 1100
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 2.82,
|
| 156 |
+
"eval_accuracy_score": 0.9520116951630331,
|
| 157 |
+
"eval_f1": 0.5626566416040101,
|
| 158 |
+
"eval_loss": 0.23386946320533752,
|
| 159 |
+
"eval_precision": 0.5907894736842105,
|
| 160 |
+
"eval_recall": 0.5370813397129187,
|
| 161 |
+
"eval_runtime": 6.737,
|
| 162 |
+
"eval_samples_per_second": 149.771,
|
| 163 |
+
"eval_steps_per_second": 18.851,
|
| 164 |
+
"step": 1200
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 3.06,
|
| 168 |
+
"eval_accuracy_score": 0.9529651051929067,
|
| 169 |
+
"eval_f1": 0.5635782747603835,
|
| 170 |
+
"eval_loss": 0.23247480392456055,
|
| 171 |
+
"eval_precision": 0.6049382716049383,
|
| 172 |
+
"eval_recall": 0.527511961722488,
|
| 173 |
+
"eval_runtime": 6.7326,
|
| 174 |
+
"eval_samples_per_second": 149.868,
|
| 175 |
+
"eval_steps_per_second": 18.864,
|
| 176 |
+
"step": 1300
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 3.29,
|
| 180 |
+
"eval_accuracy_score": 0.9557617746138689,
|
| 181 |
+
"eval_f1": 0.5892526250772081,
|
| 182 |
+
"eval_loss": 0.2185893952846527,
|
| 183 |
+
"eval_precision": 0.6091954022988506,
|
| 184 |
+
"eval_recall": 0.5705741626794258,
|
| 185 |
+
"eval_runtime": 6.7427,
|
| 186 |
+
"eval_samples_per_second": 149.643,
|
| 187 |
+
"eval_steps_per_second": 18.835,
|
| 188 |
+
"step": 1400
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 3.53,
|
| 192 |
+
"learning_rate": 4.411764705882353e-06,
|
| 193 |
+
"loss": 0.1395,
|
| 194 |
+
"step": 1500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 3.53,
|
| 198 |
+
"eval_accuracy_score": 0.9572236699930083,
|
| 199 |
+
"eval_f1": 0.6000000000000001,
|
| 200 |
+
"eval_loss": 0.2226746827363968,
|
| 201 |
+
"eval_precision": 0.6464088397790055,
|
| 202 |
+
"eval_recall": 0.5598086124401914,
|
| 203 |
+
"eval_runtime": 6.7181,
|
| 204 |
+
"eval_samples_per_second": 150.191,
|
| 205 |
+
"eval_steps_per_second": 18.904,
|
| 206 |
+
"step": 1500
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 3.76,
|
| 210 |
+
"eval_accuracy_score": 0.9590033687154389,
|
| 211 |
+
"eval_f1": 0.598405885959534,
|
| 212 |
+
"eval_loss": 0.21203213930130005,
|
| 213 |
+
"eval_precision": 0.6138364779874214,
|
| 214 |
+
"eval_recall": 0.583732057416268,
|
| 215 |
+
"eval_runtime": 6.7595,
|
| 216 |
+
"eval_samples_per_second": 149.27,
|
| 217 |
+
"eval_steps_per_second": 18.788,
|
| 218 |
+
"step": 1600
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 4.0,
|
| 222 |
+
"eval_accuracy_score": 0.9586855653721477,
|
| 223 |
+
"eval_f1": 0.618421052631579,
|
| 224 |
+
"eval_loss": 0.22468985617160797,
|
| 225 |
+
"eval_precision": 0.6871345029239766,
|
| 226 |
+
"eval_recall": 0.562200956937799,
|
| 227 |
+
"eval_runtime": 6.7215,
|
| 228 |
+
"eval_samples_per_second": 150.115,
|
| 229 |
+
"eval_steps_per_second": 18.895,
|
| 230 |
+
"step": 1700
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 4.24,
|
| 234 |
+
"eval_accuracy_score": 0.9599567787453124,
|
| 235 |
+
"eval_f1": 0.6330749354005167,
|
| 236 |
+
"eval_loss": 0.2214759886264801,
|
| 237 |
+
"eval_precision": 0.6882022471910112,
|
| 238 |
+
"eval_recall": 0.5861244019138756,
|
| 239 |
+
"eval_runtime": 6.7281,
|
| 240 |
+
"eval_samples_per_second": 149.969,
|
| 241 |
+
"eval_steps_per_second": 18.876,
|
| 242 |
+
"step": 1800
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 4.47,
|
| 246 |
+
"eval_accuracy_score": 0.96148223479311,
|
| 247 |
+
"eval_f1": 0.6507115135834413,
|
| 248 |
+
"eval_loss": 0.21751971542835236,
|
| 249 |
+
"eval_precision": 0.7084507042253522,
|
| 250 |
+
"eval_recall": 0.6016746411483254,
|
| 251 |
+
"eval_runtime": 6.7505,
|
| 252 |
+
"eval_samples_per_second": 149.471,
|
| 253 |
+
"eval_steps_per_second": 18.813,
|
| 254 |
+
"step": 1900
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 4.71,
|
| 258 |
+
"learning_rate": 4.215686274509805e-06,
|
| 259 |
+
"loss": 0.1057,
|
| 260 |
+
"step": 2000
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 4.71,
|
| 264 |
+
"eval_accuracy_score": 0.9605923854318947,
|
| 265 |
+
"eval_f1": 0.6401062416998671,
|
| 266 |
+
"eval_loss": 0.22828274965286255,
|
| 267 |
+
"eval_precision": 0.7194029850746269,
|
| 268 |
+
"eval_recall": 0.5765550239234449,
|
| 269 |
+
"eval_runtime": 6.7552,
|
| 270 |
+
"eval_samples_per_second": 149.366,
|
| 271 |
+
"eval_steps_per_second": 18.8,
|
| 272 |
+
"step": 2000
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 4.94,
|
| 276 |
+
"eval_accuracy_score": 0.9621814021483506,
|
| 277 |
+
"eval_f1": 0.6484424666242848,
|
| 278 |
+
"eval_loss": 0.2120533287525177,
|
| 279 |
+
"eval_precision": 0.6919945725915875,
|
| 280 |
+
"eval_recall": 0.6100478468899522,
|
| 281 |
+
"eval_runtime": 6.7607,
|
| 282 |
+
"eval_samples_per_second": 149.245,
|
| 283 |
+
"eval_steps_per_second": 18.785,
|
| 284 |
+
"step": 2100
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 5.18,
|
| 288 |
+
"eval_accuracy_score": 0.9617364774677429,
|
| 289 |
+
"eval_f1": 0.6427196921103272,
|
| 290 |
+
"eval_loss": 0.21272720396518707,
|
| 291 |
+
"eval_precision": 0.6929460580912863,
|
| 292 |
+
"eval_recall": 0.5992822966507177,
|
| 293 |
+
"eval_runtime": 6.823,
|
| 294 |
+
"eval_samples_per_second": 147.882,
|
| 295 |
+
"eval_steps_per_second": 18.613,
|
| 296 |
+
"step": 2200
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 5.41,
|
| 300 |
+
"eval_accuracy_score": 0.9614186741244518,
|
| 301 |
+
"eval_f1": 0.6440460947503202,
|
| 302 |
+
"eval_loss": 0.21506403386592865,
|
| 303 |
+
"eval_precision": 0.6928374655647382,
|
| 304 |
+
"eval_recall": 0.6016746411483254,
|
| 305 |
+
"eval_runtime": 6.7509,
|
| 306 |
+
"eval_samples_per_second": 149.462,
|
| 307 |
+
"eval_steps_per_second": 18.812,
|
| 308 |
+
"step": 2300
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 5.65,
|
| 312 |
+
"eval_accuracy_score": 0.9625627661603,
|
| 313 |
+
"eval_f1": 0.6498740554156172,
|
| 314 |
+
"eval_loss": 0.20958468317985535,
|
| 315 |
+
"eval_precision": 0.6861702127659575,
|
| 316 |
+
"eval_recall": 0.6172248803827751,
|
| 317 |
+
"eval_runtime": 6.7421,
|
| 318 |
+
"eval_samples_per_second": 149.656,
|
| 319 |
+
"eval_steps_per_second": 18.837,
|
| 320 |
+
"step": 2400
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 5.88,
|
| 324 |
+
"learning_rate": 4.019607843137255e-06,
|
| 325 |
+
"loss": 0.0811,
|
| 326 |
+
"step": 2500
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 5.88,
|
| 330 |
+
"eval_accuracy_score": 0.9624356448229835,
|
| 331 |
+
"eval_f1": 0.6591337099811676,
|
| 332 |
+
"eval_loss": 0.2008962631225586,
|
| 333 |
+
"eval_precision": 0.6935270805812418,
|
| 334 |
+
"eval_recall": 0.6279904306220095,
|
| 335 |
+
"eval_runtime": 6.7089,
|
| 336 |
+
"eval_samples_per_second": 150.397,
|
| 337 |
+
"eval_steps_per_second": 18.93,
|
| 338 |
+
"step": 2500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 6.12,
|
| 342 |
+
"eval_accuracy_score": 0.9621178414796924,
|
| 343 |
+
"eval_f1": 0.6448717948717948,
|
| 344 |
+
"eval_loss": 0.21091684699058533,
|
| 345 |
+
"eval_precision": 0.6947513812154696,
|
| 346 |
+
"eval_recall": 0.6016746411483254,
|
| 347 |
+
"eval_runtime": 6.7609,
|
| 348 |
+
"eval_samples_per_second": 149.241,
|
| 349 |
+
"eval_steps_per_second": 18.785,
|
| 350 |
+
"step": 2600
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 6.35,
|
| 354 |
+
"eval_accuracy_score": 0.9621178414796924,
|
| 355 |
+
"eval_f1": 0.6499057196731616,
|
| 356 |
+
"eval_loss": 0.21349507570266724,
|
| 357 |
+
"eval_precision": 0.6847682119205298,
|
| 358 |
+
"eval_recall": 0.618421052631579,
|
| 359 |
+
"eval_runtime": 6.7376,
|
| 360 |
+
"eval_samples_per_second": 149.757,
|
| 361 |
+
"eval_steps_per_second": 18.849,
|
| 362 |
+
"step": 2700
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 6.59,
|
| 366 |
+
"eval_accuracy_score": 0.9620542808110342,
|
| 367 |
+
"eval_f1": 0.6467218332272437,
|
| 368 |
+
"eval_loss": 0.2102096974849701,
|
| 369 |
+
"eval_precision": 0.691156462585034,
|
| 370 |
+
"eval_recall": 0.6076555023923444,
|
| 371 |
+
"eval_runtime": 6.7394,
|
| 372 |
+
"eval_samples_per_second": 149.717,
|
| 373 |
+
"eval_steps_per_second": 18.844,
|
| 374 |
+
"step": 2800
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 6.82,
|
| 378 |
+
"eval_accuracy_score": 0.9630076908409076,
|
| 379 |
+
"eval_f1": 0.6658385093167701,
|
| 380 |
+
"eval_loss": 0.2015107125043869,
|
| 381 |
+
"eval_precision": 0.6925064599483204,
|
| 382 |
+
"eval_recall": 0.6411483253588517,
|
| 383 |
+
"eval_runtime": 6.7773,
|
| 384 |
+
"eval_samples_per_second": 148.879,
|
| 385 |
+
"eval_steps_per_second": 18.739,
|
| 386 |
+
"step": 2900
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 7.06,
|
| 390 |
+
"learning_rate": 3.8235294117647055e-06,
|
| 391 |
+
"loss": 0.0674,
|
| 392 |
+
"step": 3000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 7.06,
|
| 396 |
+
"eval_accuracy_score": 0.96364329752749,
|
| 397 |
+
"eval_f1": 0.6624921728240452,
|
| 398 |
+
"eval_loss": 0.20179474353790283,
|
| 399 |
+
"eval_precision": 0.695137976346912,
|
| 400 |
+
"eval_recall": 0.6327751196172249,
|
| 401 |
+
"eval_runtime": 6.8013,
|
| 402 |
+
"eval_samples_per_second": 148.354,
|
| 403 |
+
"eval_steps_per_second": 18.673,
|
| 404 |
+
"step": 3000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 7.29,
|
| 408 |
+
"eval_accuracy_score": 0.9629441301722494,
|
| 409 |
+
"eval_f1": 0.6454431960049937,
|
| 410 |
+
"eval_loss": 0.20865464210510254,
|
| 411 |
+
"eval_precision": 0.674934725848564,
|
| 412 |
+
"eval_recall": 0.618421052631579,
|
| 413 |
+
"eval_runtime": 6.7901,
|
| 414 |
+
"eval_samples_per_second": 148.599,
|
| 415 |
+
"eval_steps_per_second": 18.704,
|
| 416 |
+
"step": 3100
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 7.53,
|
| 420 |
+
"eval_accuracy_score": 0.9631983728468824,
|
| 421 |
+
"eval_f1": 0.6507237256135934,
|
| 422 |
+
"eval_loss": 0.2077988088130951,
|
| 423 |
+
"eval_precision": 0.6865869853917662,
|
| 424 |
+
"eval_recall": 0.618421052631579,
|
| 425 |
+
"eval_runtime": 6.7566,
|
| 426 |
+
"eval_samples_per_second": 149.335,
|
| 427 |
+
"eval_steps_per_second": 18.796,
|
| 428 |
+
"step": 3200
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 7.76,
|
| 432 |
+
"eval_accuracy_score": 0.9626898874976165,
|
| 433 |
+
"eval_f1": 0.6499678869621066,
|
| 434 |
+
"eval_loss": 0.2155311405658722,
|
| 435 |
+
"eval_precision": 0.7018030513176144,
|
| 436 |
+
"eval_recall": 0.6052631578947368,
|
| 437 |
+
"eval_runtime": 6.7572,
|
| 438 |
+
"eval_samples_per_second": 149.321,
|
| 439 |
+
"eval_steps_per_second": 18.795,
|
| 440 |
+
"step": 3300
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 8.0,
|
| 444 |
+
"eval_accuracy_score": 0.9624356448229835,
|
| 445 |
+
"eval_f1": 0.6524271844660194,
|
| 446 |
+
"eval_loss": 0.21822784841060638,
|
| 447 |
+
"eval_precision": 0.7108603667136812,
|
| 448 |
+
"eval_recall": 0.6028708133971292,
|
| 449 |
+
"eval_runtime": 6.7807,
|
| 450 |
+
"eval_samples_per_second": 148.804,
|
| 451 |
+
"eval_steps_per_second": 18.73,
|
| 452 |
+
"step": 3400
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 8.24,
|
| 456 |
+
"learning_rate": 3.6274509803921573e-06,
|
| 457 |
+
"loss": 0.0559,
|
| 458 |
+
"step": 3500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 8.24,
|
| 462 |
+
"eval_accuracy_score": 0.9631348121782242,
|
| 463 |
+
"eval_f1": 0.659062103929024,
|
| 464 |
+
"eval_loss": 0.21273677051067352,
|
| 465 |
+
"eval_precision": 0.7008086253369272,
|
| 466 |
+
"eval_recall": 0.6220095693779905,
|
| 467 |
+
"eval_runtime": 6.7444,
|
| 468 |
+
"eval_samples_per_second": 149.606,
|
| 469 |
+
"eval_steps_per_second": 18.831,
|
| 470 |
+
"step": 3500
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 8.47,
|
| 474 |
+
"eval_accuracy_score": 0.9634526155215153,
|
| 475 |
+
"eval_f1": 0.6608478802992518,
|
| 476 |
+
"eval_loss": 0.20193149149417877,
|
| 477 |
+
"eval_precision": 0.6901041666666666,
|
| 478 |
+
"eval_recall": 0.6339712918660287,
|
| 479 |
+
"eval_runtime": 8.1777,
|
| 480 |
+
"eval_samples_per_second": 123.384,
|
| 481 |
+
"eval_steps_per_second": 15.53,
|
| 482 |
+
"step": 3600
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 8.71,
|
| 486 |
+
"eval_accuracy_score": 0.9634526155215153,
|
| 487 |
+
"eval_f1": 0.6587942821628341,
|
| 488 |
+
"eval_loss": 0.20160645246505737,
|
| 489 |
+
"eval_precision": 0.685640362225097,
|
| 490 |
+
"eval_recall": 0.6339712918660287,
|
| 491 |
+
"eval_runtime": 6.7668,
|
| 492 |
+
"eval_samples_per_second": 149.11,
|
| 493 |
+
"eval_steps_per_second": 18.768,
|
| 494 |
+
"step": 3700
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 8.94,
|
| 498 |
+
"eval_accuracy_score": 0.9634526155215153,
|
| 499 |
+
"eval_f1": 0.662553979025293,
|
| 500 |
+
"eval_loss": 0.20665320754051208,
|
| 501 |
+
"eval_precision": 0.6840764331210191,
|
| 502 |
+
"eval_recall": 0.6423444976076556,
|
| 503 |
+
"eval_runtime": 6.7328,
|
| 504 |
+
"eval_samples_per_second": 149.863,
|
| 505 |
+
"eval_steps_per_second": 18.863,
|
| 506 |
+
"step": 3800
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 9.18,
|
| 510 |
+
"eval_accuracy_score": 0.9629441301722494,
|
| 511 |
+
"eval_f1": 0.6566775244299674,
|
| 512 |
+
"eval_loss": 0.22287048399448395,
|
| 513 |
+
"eval_precision": 0.721030042918455,
|
| 514 |
+
"eval_recall": 0.6028708133971292,
|
| 515 |
+
"eval_runtime": 6.7851,
|
| 516 |
+
"eval_samples_per_second": 148.709,
|
| 517 |
+
"eval_steps_per_second": 18.718,
|
| 518 |
+
"step": 3900
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 9.41,
|
| 522 |
+
"learning_rate": 3.431372549019608e-06,
|
| 523 |
+
"loss": 0.0459,
|
| 524 |
+
"step": 4000
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 9.41,
|
| 528 |
+
"eval_accuracy_score": 0.9635797368588318,
|
| 529 |
+
"eval_f1": 0.6574827802128992,
|
| 530 |
+
"eval_loss": 0.20987075567245483,
|
| 531 |
+
"eval_precision": 0.6898817345597897,
|
| 532 |
+
"eval_recall": 0.6279904306220095,
|
| 533 |
+
"eval_runtime": 6.7469,
|
| 534 |
+
"eval_samples_per_second": 149.549,
|
| 535 |
+
"eval_steps_per_second": 18.823,
|
| 536 |
+
"step": 4000
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 9.65,
|
| 540 |
+
"eval_accuracy_score": 0.9628805695035911,
|
| 541 |
+
"eval_f1": 0.6568690095846645,
|
| 542 |
+
"eval_loss": 0.22190582752227783,
|
| 543 |
+
"eval_precision": 0.7050754458161865,
|
| 544 |
+
"eval_recall": 0.6148325358851675,
|
| 545 |
+
"eval_runtime": 6.7586,
|
| 546 |
+
"eval_samples_per_second": 149.292,
|
| 547 |
+
"eval_steps_per_second": 18.791,
|
| 548 |
+
"step": 4100
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 9.88,
|
| 552 |
+
"eval_accuracy_score": 0.9632619335155406,
|
| 553 |
+
"eval_f1": 0.6525265127885215,
|
| 554 |
+
"eval_loss": 0.21028834581375122,
|
| 555 |
+
"eval_precision": 0.681877444589309,
|
| 556 |
+
"eval_recall": 0.6255980861244019,
|
| 557 |
+
"eval_runtime": 6.7583,
|
| 558 |
+
"eval_samples_per_second": 149.298,
|
| 559 |
+
"eval_steps_per_second": 18.792,
|
| 560 |
+
"step": 4200
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 10.12,
|
| 564 |
+
"eval_accuracy_score": 0.9640882222080976,
|
| 565 |
+
"eval_f1": 0.6692111959287532,
|
| 566 |
+
"eval_loss": 0.2170829027891159,
|
| 567 |
+
"eval_precision": 0.7146739130434783,
|
| 568 |
+
"eval_recall": 0.6291866028708134,
|
| 569 |
+
"eval_runtime": 6.7544,
|
| 570 |
+
"eval_samples_per_second": 149.383,
|
| 571 |
+
"eval_steps_per_second": 18.802,
|
| 572 |
+
"step": 4300
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 10.35,
|
| 576 |
+
"eval_accuracy_score": 0.9630712515095659,
|
| 577 |
+
"eval_f1": 0.6495619524405507,
|
| 578 |
+
"eval_loss": 0.2193835973739624,
|
| 579 |
+
"eval_precision": 0.6811023622047244,
|
| 580 |
+
"eval_recall": 0.6208133971291866,
|
| 581 |
+
"eval_runtime": 6.7362,
|
| 582 |
+
"eval_samples_per_second": 149.787,
|
| 583 |
+
"eval_steps_per_second": 18.853,
|
| 584 |
+
"step": 4400
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 10.59,
|
| 588 |
+
"learning_rate": 3.2352941176470594e-06,
|
| 589 |
+
"loss": 0.0399,
|
| 590 |
+
"step": 4500
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 10.59,
|
| 594 |
+
"eval_accuracy_score": 0.9634526155215153,
|
| 595 |
+
"eval_f1": 0.6556543837357053,
|
| 596 |
+
"eval_loss": 0.21863853931427002,
|
| 597 |
+
"eval_precision": 0.6991869918699187,
|
| 598 |
+
"eval_recall": 0.6172248803827751,
|
| 599 |
+
"eval_runtime": 6.769,
|
| 600 |
+
"eval_samples_per_second": 149.062,
|
| 601 |
+
"eval_steps_per_second": 18.762,
|
| 602 |
+
"step": 4500
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 10.82,
|
| 606 |
+
"eval_accuracy_score": 0.9637068581961482,
|
| 607 |
+
"eval_f1": 0.6624685138539044,
|
| 608 |
+
"eval_loss": 0.21445031464099884,
|
| 609 |
+
"eval_precision": 0.699468085106383,
|
| 610 |
+
"eval_recall": 0.6291866028708134,
|
| 611 |
+
"eval_runtime": 6.7298,
|
| 612 |
+
"eval_samples_per_second": 149.93,
|
| 613 |
+
"eval_steps_per_second": 18.871,
|
| 614 |
+
"step": 4600
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 11.06,
|
| 618 |
+
"eval_accuracy_score": 0.9644695862200471,
|
| 619 |
+
"eval_f1": 0.6759142496847416,
|
| 620 |
+
"eval_loss": 0.20991285145282745,
|
| 621 |
+
"eval_precision": 0.7146666666666667,
|
| 622 |
+
"eval_recall": 0.6411483253588517,
|
| 623 |
+
"eval_runtime": 6.734,
|
| 624 |
+
"eval_samples_per_second": 149.837,
|
| 625 |
+
"eval_steps_per_second": 18.86,
|
| 626 |
+
"step": 4700
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 11.29,
|
| 630 |
+
"eval_accuracy_score": 0.96364329752749,
|
| 631 |
+
"eval_f1": 0.6649778340721977,
|
| 632 |
+
"eval_loss": 0.22495105862617493,
|
| 633 |
+
"eval_precision": 0.7065948855989233,
|
| 634 |
+
"eval_recall": 0.6279904306220095,
|
| 635 |
+
"eval_runtime": 6.7408,
|
| 636 |
+
"eval_samples_per_second": 149.687,
|
| 637 |
+
"eval_steps_per_second": 18.841,
|
| 638 |
+
"step": 4800
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 11.53,
|
| 642 |
+
"eval_accuracy_score": 0.9639611008707811,
|
| 643 |
+
"eval_f1": 0.6670894102726697,
|
| 644 |
+
"eval_loss": 0.22267203032970428,
|
| 645 |
+
"eval_precision": 0.7098515519568152,
|
| 646 |
+
"eval_recall": 0.6291866028708134,
|
| 647 |
+
"eval_runtime": 6.7689,
|
| 648 |
+
"eval_samples_per_second": 149.064,
|
| 649 |
+
"eval_steps_per_second": 18.762,
|
| 650 |
+
"step": 4900
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 11.76,
|
| 654 |
+
"learning_rate": 3.03921568627451e-06,
|
| 655 |
+
"loss": 0.0368,
|
| 656 |
+
"step": 5000
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 11.76,
|
| 660 |
+
"eval_accuracy_score": 0.9637068581961482,
|
| 661 |
+
"eval_f1": 0.6588235294117647,
|
| 662 |
+
"eval_loss": 0.21161217987537384,
|
| 663 |
+
"eval_precision": 0.6829268292682927,
|
| 664 |
+
"eval_recall": 0.6363636363636364,
|
| 665 |
+
"eval_runtime": 6.7536,
|
| 666 |
+
"eval_samples_per_second": 149.402,
|
| 667 |
+
"eval_steps_per_second": 18.805,
|
| 668 |
+
"step": 5000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 12.0,
|
| 672 |
+
"eval_accuracy_score": 0.9625627661603,
|
| 673 |
+
"eval_f1": 0.6593830334190232,
|
| 674 |
+
"eval_loss": 0.227540984749794,
|
| 675 |
+
"eval_precision": 0.7125,
|
| 676 |
+
"eval_recall": 0.6136363636363636,
|
| 677 |
+
"eval_runtime": 6.7584,
|
| 678 |
+
"eval_samples_per_second": 149.295,
|
| 679 |
+
"eval_steps_per_second": 18.791,
|
| 680 |
+
"step": 5100
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 12.24,
|
| 684 |
+
"eval_accuracy_score": 0.9628805695035911,
|
| 685 |
+
"eval_f1": 0.6640471512770137,
|
| 686 |
+
"eval_loss": 0.23519518971443176,
|
| 687 |
+
"eval_precision": 0.7337192474674384,
|
| 688 |
+
"eval_recall": 0.6064593301435407,
|
| 689 |
+
"eval_runtime": 6.7729,
|
| 690 |
+
"eval_samples_per_second": 148.976,
|
| 691 |
+
"eval_steps_per_second": 18.751,
|
| 692 |
+
"step": 5200
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 12.47,
|
| 696 |
+
"eval_accuracy_score": 0.9628170088349329,
|
| 697 |
+
"eval_f1": 0.6679462571976967,
|
| 698 |
+
"eval_loss": 0.2271033227443695,
|
| 699 |
+
"eval_precision": 0.7180192572214581,
|
| 700 |
+
"eval_recall": 0.6244019138755981,
|
| 701 |
+
"eval_runtime": 6.7726,
|
| 702 |
+
"eval_samples_per_second": 148.983,
|
| 703 |
+
"eval_steps_per_second": 18.752,
|
| 704 |
+
"step": 5300
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 12.71,
|
| 708 |
+
"eval_accuracy_score": 0.9630076908409076,
|
| 709 |
+
"eval_f1": 0.6628643852978454,
|
| 710 |
+
"eval_loss": 0.22853700816631317,
|
| 711 |
+
"eval_precision": 0.7048517520215634,
|
| 712 |
+
"eval_recall": 0.6255980861244019,
|
| 713 |
+
"eval_runtime": 6.7535,
|
| 714 |
+
"eval_samples_per_second": 149.405,
|
| 715 |
+
"eval_steps_per_second": 18.805,
|
| 716 |
+
"step": 5400
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 12.94,
|
| 720 |
+
"learning_rate": 2.843137254901961e-06,
|
| 721 |
+
"loss": 0.0321,
|
| 722 |
+
"step": 5500
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 12.94,
|
| 726 |
+
"eval_accuracy_score": 0.9631348121782242,
|
| 727 |
+
"eval_f1": 0.664548919949174,
|
| 728 |
+
"eval_loss": 0.22333784401416779,
|
| 729 |
+
"eval_precision": 0.7086720867208672,
|
| 730 |
+
"eval_recall": 0.6255980861244019,
|
| 731 |
+
"eval_runtime": 6.7401,
|
| 732 |
+
"eval_samples_per_second": 149.702,
|
| 733 |
+
"eval_steps_per_second": 18.843,
|
| 734 |
+
"step": 5500
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 13.18,
|
| 738 |
+
"eval_accuracy_score": 0.9637068581961482,
|
| 739 |
+
"eval_f1": 0.6705054382597568,
|
| 740 |
+
"eval_loss": 0.222885861992836,
|
| 741 |
+
"eval_precision": 0.7207702888583218,
|
| 742 |
+
"eval_recall": 0.6267942583732058,
|
| 743 |
+
"eval_runtime": 6.7486,
|
| 744 |
+
"eval_samples_per_second": 149.513,
|
| 745 |
+
"eval_steps_per_second": 18.819,
|
| 746 |
+
"step": 5600
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 13.41,
|
| 750 |
+
"eval_accuracy_score": 0.9633254941841988,
|
| 751 |
+
"eval_f1": 0.6619718309859155,
|
| 752 |
+
"eval_loss": 0.2285127490758896,
|
| 753 |
+
"eval_precision": 0.7121212121212122,
|
| 754 |
+
"eval_recall": 0.618421052631579,
|
| 755 |
+
"eval_runtime": 6.8129,
|
| 756 |
+
"eval_samples_per_second": 148.102,
|
| 757 |
+
"eval_steps_per_second": 18.641,
|
| 758 |
+
"step": 5700
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 13.65,
|
| 762 |
+
"eval_accuracy_score": 0.9644695862200471,
|
| 763 |
+
"eval_f1": 0.6734177215189874,
|
| 764 |
+
"eval_loss": 0.22083869576454163,
|
| 765 |
+
"eval_precision": 0.7150537634408602,
|
| 766 |
+
"eval_recall": 0.6363636363636364,
|
| 767 |
+
"eval_runtime": 6.7283,
|
| 768 |
+
"eval_samples_per_second": 149.964,
|
| 769 |
+
"eval_steps_per_second": 18.876,
|
| 770 |
+
"step": 5800
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 13.88,
|
| 774 |
+
"eval_accuracy_score": 0.9635161761901735,
|
| 775 |
+
"eval_f1": 0.6684005201560469,
|
| 776 |
+
"eval_loss": 0.2334665209054947,
|
| 777 |
+
"eval_precision": 0.7321937321937322,
|
| 778 |
+
"eval_recall": 0.6148325358851675,
|
| 779 |
+
"eval_runtime": 6.7215,
|
| 780 |
+
"eval_samples_per_second": 150.116,
|
| 781 |
+
"eval_steps_per_second": 18.895,
|
| 782 |
+
"step": 5900
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 14.12,
|
| 786 |
+
"learning_rate": 2.647058823529412e-06,
|
| 787 |
+
"loss": 0.0291,
|
| 788 |
+
"step": 6000
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 14.12,
|
| 792 |
+
"eval_accuracy_score": 0.9641517828767558,
|
| 793 |
+
"eval_f1": 0.663265306122449,
|
| 794 |
+
"eval_loss": 0.2206926792860031,
|
| 795 |
+
"eval_precision": 0.7103825136612022,
|
| 796 |
+
"eval_recall": 0.6220095693779905,
|
| 797 |
+
"eval_runtime": 6.7314,
|
| 798 |
+
"eval_samples_per_second": 149.894,
|
| 799 |
+
"eval_steps_per_second": 18.867,
|
| 800 |
+
"step": 6000
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 14.35,
|
| 804 |
+
"eval_accuracy_score": 0.9650416322379711,
|
| 805 |
+
"eval_f1": 0.6737633061991233,
|
| 806 |
+
"eval_loss": 0.21664156019687653,
|
| 807 |
+
"eval_precision": 0.7069645203679369,
|
| 808 |
+
"eval_recall": 0.6435406698564593,
|
| 809 |
+
"eval_runtime": 6.8128,
|
| 810 |
+
"eval_samples_per_second": 148.104,
|
| 811 |
+
"eval_steps_per_second": 18.641,
|
| 812 |
+
"step": 6100
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 14.59,
|
| 816 |
+
"eval_accuracy_score": 0.9646602682260217,
|
| 817 |
+
"eval_f1": 0.6654275092936804,
|
| 818 |
+
"eval_loss": 0.20899562537670135,
|
| 819 |
+
"eval_precision": 0.6902313624678663,
|
| 820 |
+
"eval_recall": 0.6423444976076556,
|
| 821 |
+
"eval_runtime": 6.7812,
|
| 822 |
+
"eval_samples_per_second": 148.794,
|
| 823 |
+
"eval_steps_per_second": 18.728,
|
| 824 |
+
"step": 6200
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 14.82,
|
| 828 |
+
"eval_accuracy_score": 0.9647873895633382,
|
| 829 |
+
"eval_f1": 0.6766917293233083,
|
| 830 |
+
"eval_loss": 0.21245865523815155,
|
| 831 |
+
"eval_precision": 0.7105263157894737,
|
| 832 |
+
"eval_recall": 0.645933014354067,
|
| 833 |
+
"eval_runtime": 6.7236,
|
| 834 |
+
"eval_samples_per_second": 150.069,
|
| 835 |
+
"eval_steps_per_second": 18.889,
|
| 836 |
+
"step": 6300
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 15.06,
|
| 840 |
+
"eval_accuracy_score": 0.9637704188648064,
|
| 841 |
+
"eval_f1": 0.6666666666666667,
|
| 842 |
+
"eval_loss": 0.22959989309310913,
|
| 843 |
+
"eval_precision": 0.713506139154161,
|
| 844 |
+
"eval_recall": 0.6255980861244019,
|
| 845 |
+
"eval_runtime": 6.7691,
|
| 846 |
+
"eval_samples_per_second": 149.061,
|
| 847 |
+
"eval_steps_per_second": 18.762,
|
| 848 |
+
"step": 6400
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 15.29,
|
| 852 |
+
"learning_rate": 2.450980392156863e-06,
|
| 853 |
+
"loss": 0.0251,
|
| 854 |
+
"step": 6500
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 15.29,
|
| 858 |
+
"eval_accuracy_score": 0.9645331468887053,
|
| 859 |
+
"eval_f1": 0.6733542319749217,
|
| 860 |
+
"eval_loss": 0.22114437818527222,
|
| 861 |
+
"eval_precision": 0.7075098814229249,
|
| 862 |
+
"eval_recall": 0.6423444976076556,
|
| 863 |
+
"eval_runtime": 6.8495,
|
| 864 |
+
"eval_samples_per_second": 147.311,
|
| 865 |
+
"eval_steps_per_second": 18.542,
|
| 866 |
+
"step": 6500
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 15.53,
|
| 870 |
+
"eval_accuracy_score": 0.9640882222080976,
|
| 871 |
+
"eval_f1": 0.6713197969543148,
|
| 872 |
+
"eval_loss": 0.22384566068649292,
|
| 873 |
+
"eval_precision": 0.7148648648648649,
|
| 874 |
+
"eval_recall": 0.6327751196172249,
|
| 875 |
+
"eval_runtime": 6.7143,
|
| 876 |
+
"eval_samples_per_second": 150.277,
|
| 877 |
+
"eval_steps_per_second": 18.915,
|
| 878 |
+
"step": 6600
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 15.76,
|
| 882 |
+
"eval_accuracy_score": 0.9637068581961482,
|
| 883 |
+
"eval_f1": 0.6641172721478649,
|
| 884 |
+
"eval_loss": 0.23098178207874298,
|
| 885 |
+
"eval_precision": 0.7107776261937244,
|
| 886 |
+
"eval_recall": 0.6232057416267942,
|
| 887 |
+
"eval_runtime": 6.7457,
|
| 888 |
+
"eval_samples_per_second": 149.576,
|
| 889 |
+
"eval_steps_per_second": 18.827,
|
| 890 |
+
"step": 6700
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 16.0,
|
| 894 |
+
"eval_accuracy_score": 0.9650416322379711,
|
| 895 |
+
"eval_f1": 0.6762860727728984,
|
| 896 |
+
"eval_loss": 0.21991874277591705,
|
| 897 |
+
"eval_precision": 0.7110817941952506,
|
| 898 |
+
"eval_recall": 0.6447368421052632,
|
| 899 |
+
"eval_runtime": 6.7686,
|
| 900 |
+
"eval_samples_per_second": 149.07,
|
| 901 |
+
"eval_steps_per_second": 18.763,
|
| 902 |
+
"step": 6800
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 16.24,
|
| 906 |
+
"eval_accuracy_score": 0.96364329752749,
|
| 907 |
+
"eval_f1": 0.6636771300448431,
|
| 908 |
+
"eval_loss": 0.23369288444519043,
|
| 909 |
+
"eval_precision": 0.7144827586206897,
|
| 910 |
+
"eval_recall": 0.6196172248803827,
|
| 911 |
+
"eval_runtime": 6.8164,
|
| 912 |
+
"eval_samples_per_second": 148.025,
|
| 913 |
+
"eval_steps_per_second": 18.631,
|
| 914 |
+
"step": 6900
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 16.47,
|
| 918 |
+
"learning_rate": 2.254901960784314e-06,
|
| 919 |
+
"loss": 0.0227,
|
| 920 |
+
"step": 7000
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 16.47,
|
| 924 |
+
"eval_accuracy_score": 0.9646602682260217,
|
| 925 |
+
"eval_f1": 0.6712243629583592,
|
| 926 |
+
"eval_loss": 0.22149834036827087,
|
| 927 |
+
"eval_precision": 0.6985769728331177,
|
| 928 |
+
"eval_recall": 0.645933014354067,
|
| 929 |
+
"eval_runtime": 6.7644,
|
| 930 |
+
"eval_samples_per_second": 149.164,
|
| 931 |
+
"eval_steps_per_second": 18.775,
|
| 932 |
+
"step": 7000
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 16.71,
|
| 936 |
+
"eval_accuracy_score": 0.9645331468887053,
|
| 937 |
+
"eval_f1": 0.6687422166874221,
|
| 938 |
+
"eval_loss": 0.2212422788143158,
|
| 939 |
+
"eval_precision": 0.6974025974025974,
|
| 940 |
+
"eval_recall": 0.6423444976076556,
|
| 941 |
+
"eval_runtime": 6.7009,
|
| 942 |
+
"eval_samples_per_second": 150.576,
|
| 943 |
+
"eval_steps_per_second": 18.953,
|
| 944 |
+
"step": 7100
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 16.94,
|
| 948 |
+
"eval_accuracy_score": 0.9635161761901735,
|
| 949 |
+
"eval_f1": 0.6653821451509313,
|
| 950 |
+
"eval_loss": 0.24178394675254822,
|
| 951 |
+
"eval_precision": 0.7184466019417476,
|
| 952 |
+
"eval_recall": 0.6196172248803827,
|
| 953 |
+
"eval_runtime": 6.7952,
|
| 954 |
+
"eval_samples_per_second": 148.486,
|
| 955 |
+
"eval_steps_per_second": 18.69,
|
| 956 |
+
"step": 7200
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 17.18,
|
| 960 |
+
"eval_accuracy_score": 0.9633890548528571,
|
| 961 |
+
"eval_f1": 0.6675307841866494,
|
| 962 |
+
"eval_loss": 0.24713467061519623,
|
| 963 |
+
"eval_precision": 0.7284299858557284,
|
| 964 |
+
"eval_recall": 0.6160287081339713,
|
| 965 |
+
"eval_runtime": 6.807,
|
| 966 |
+
"eval_samples_per_second": 148.229,
|
| 967 |
+
"eval_steps_per_second": 18.657,
|
| 968 |
+
"step": 7300
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 17.41,
|
| 972 |
+
"eval_accuracy_score": 0.9643424648827306,
|
| 973 |
+
"eval_f1": 0.670031545741325,
|
| 974 |
+
"eval_loss": 0.22886203229427338,
|
| 975 |
+
"eval_precision": 0.7089452603471295,
|
| 976 |
+
"eval_recall": 0.6351674641148325,
|
| 977 |
+
"eval_runtime": 6.7775,
|
| 978 |
+
"eval_samples_per_second": 148.874,
|
| 979 |
+
"eval_steps_per_second": 18.738,
|
| 980 |
+
"step": 7400
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 17.65,
|
| 984 |
+
"learning_rate": 2.058823529411765e-06,
|
| 985 |
+
"loss": 0.0197,
|
| 986 |
+
"step": 7500
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 17.65,
|
| 990 |
+
"eval_accuracy_score": 0.9646602682260217,
|
| 991 |
+
"eval_f1": 0.6753731343283582,
|
| 992 |
+
"eval_loss": 0.22524945437908173,
|
| 993 |
+
"eval_precision": 0.7033678756476683,
|
| 994 |
+
"eval_recall": 0.6495215311004785,
|
| 995 |
+
"eval_runtime": 6.7338,
|
| 996 |
+
"eval_samples_per_second": 149.84,
|
| 997 |
+
"eval_steps_per_second": 18.86,
|
| 998 |
+
"step": 7500
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 17.88,
|
| 1002 |
+
"eval_accuracy_score": 0.9633890548528571,
|
| 1003 |
+
"eval_f1": 0.664528543938422,
|
| 1004 |
+
"eval_loss": 0.24701638519763947,
|
| 1005 |
+
"eval_precision": 0.7164591977869986,
|
| 1006 |
+
"eval_recall": 0.6196172248803827,
|
| 1007 |
+
"eval_runtime": 6.7838,
|
| 1008 |
+
"eval_samples_per_second": 148.736,
|
| 1009 |
+
"eval_steps_per_second": 18.721,
|
| 1010 |
+
"step": 7600
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 18.12,
|
| 1014 |
+
"eval_accuracy_score": 0.9654865569185788,
|
| 1015 |
+
"eval_f1": 0.6825,
|
| 1016 |
+
"eval_loss": 0.22353364527225494,
|
| 1017 |
+
"eval_precision": 0.7146596858638743,
|
| 1018 |
+
"eval_recall": 0.65311004784689,
|
| 1019 |
+
"eval_runtime": 6.7595,
|
| 1020 |
+
"eval_samples_per_second": 149.272,
|
| 1021 |
+
"eval_steps_per_second": 18.788,
|
| 1022 |
+
"step": 7700
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 18.35,
|
| 1026 |
+
"eval_accuracy_score": 0.9638975402021229,
|
| 1027 |
+
"eval_f1": 0.6590765338393421,
|
| 1028 |
+
"eval_loss": 0.23786970973014832,
|
| 1029 |
+
"eval_precision": 0.6993288590604027,
|
| 1030 |
+
"eval_recall": 0.6232057416267942,
|
| 1031 |
+
"eval_runtime": 6.8141,
|
| 1032 |
+
"eval_samples_per_second": 148.075,
|
| 1033 |
+
"eval_steps_per_second": 18.638,
|
| 1034 |
+
"step": 7800
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 18.59,
|
| 1038 |
+
"eval_accuracy_score": 0.9644060255513888,
|
| 1039 |
+
"eval_f1": 0.6666666666666667,
|
| 1040 |
+
"eval_loss": 0.23264023661613464,
|
| 1041 |
+
"eval_precision": 0.7014531043593131,
|
| 1042 |
+
"eval_recall": 0.6351674641148325,
|
| 1043 |
+
"eval_runtime": 6.8013,
|
| 1044 |
+
"eval_samples_per_second": 148.353,
|
| 1045 |
+
"eval_steps_per_second": 18.673,
|
| 1046 |
+
"step": 7900
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 18.82,
|
| 1050 |
+
"learning_rate": 1.8627450980392158e-06,
|
| 1051 |
+
"loss": 0.0183,
|
| 1052 |
+
"step": 8000
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 18.82,
|
| 1056 |
+
"eval_accuracy_score": 0.9649780715693129,
|
| 1057 |
+
"eval_f1": 0.6724244293645897,
|
| 1058 |
+
"eval_loss": 0.22304123640060425,
|
| 1059 |
+
"eval_precision": 0.6942675159235668,
|
| 1060 |
+
"eval_recall": 0.6519138755980861,
|
| 1061 |
+
"eval_runtime": 6.7426,
|
| 1062 |
+
"eval_samples_per_second": 149.646,
|
| 1063 |
+
"eval_steps_per_second": 18.835,
|
| 1064 |
+
"step": 8000
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 19.06,
|
| 1068 |
+
"eval_accuracy_score": 0.9643424648827306,
|
| 1069 |
+
"eval_f1": 0.6683480453972257,
|
| 1070 |
+
"eval_loss": 0.2350449413061142,
|
| 1071 |
+
"eval_precision": 0.7066666666666667,
|
| 1072 |
+
"eval_recall": 0.6339712918660287,
|
| 1073 |
+
"eval_runtime": 6.8057,
|
| 1074 |
+
"eval_samples_per_second": 148.259,
|
| 1075 |
+
"eval_steps_per_second": 18.661,
|
| 1076 |
+
"step": 8100
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 19.29,
|
| 1080 |
+
"eval_accuracy_score": 0.9652323142439458,
|
| 1081 |
+
"eval_f1": 0.6790582403965303,
|
| 1082 |
+
"eval_loss": 0.226871520280838,
|
| 1083 |
+
"eval_precision": 0.7043701799485861,
|
| 1084 |
+
"eval_recall": 0.6555023923444976,
|
| 1085 |
+
"eval_runtime": 6.7483,
|
| 1086 |
+
"eval_samples_per_second": 149.519,
|
| 1087 |
+
"eval_steps_per_second": 18.819,
|
| 1088 |
+
"step": 8200
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 19.53,
|
| 1092 |
+
"eval_accuracy_score": 0.96472382889468,
|
| 1093 |
+
"eval_f1": 0.6683354192740926,
|
| 1094 |
+
"eval_loss": 0.23186342418193817,
|
| 1095 |
+
"eval_precision": 0.7007874015748031,
|
| 1096 |
+
"eval_recall": 0.638755980861244,
|
| 1097 |
+
"eval_runtime": 6.7632,
|
| 1098 |
+
"eval_samples_per_second": 149.19,
|
| 1099 |
+
"eval_steps_per_second": 18.778,
|
| 1100 |
+
"step": 8300
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 19.76,
|
| 1104 |
+
"eval_accuracy_score": 0.9645967075573635,
|
| 1105 |
+
"eval_f1": 0.6712933753943218,
|
| 1106 |
+
"eval_loss": 0.2337142825126648,
|
| 1107 |
+
"eval_precision": 0.7102803738317757,
|
| 1108 |
+
"eval_recall": 0.6363636363636364,
|
| 1109 |
+
"eval_runtime": 6.7451,
|
| 1110 |
+
"eval_samples_per_second": 149.591,
|
| 1111 |
+
"eval_steps_per_second": 18.829,
|
| 1112 |
+
"step": 8400
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 20.0,
|
| 1116 |
+
"learning_rate": 1.6666666666666667e-06,
|
| 1117 |
+
"loss": 0.0162,
|
| 1118 |
+
"step": 8500
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 20.0,
|
| 1122 |
+
"eval_accuracy_score": 0.9647873895633382,
|
| 1123 |
+
"eval_f1": 0.6751430387794024,
|
| 1124 |
+
"eval_loss": 0.2389359027147293,
|
| 1125 |
+
"eval_precision": 0.7204884667571235,
|
| 1126 |
+
"eval_recall": 0.6351674641148325,
|
| 1127 |
+
"eval_runtime": 6.7503,
|
| 1128 |
+
"eval_samples_per_second": 149.474,
|
| 1129 |
+
"eval_steps_per_second": 18.814,
|
| 1130 |
+
"step": 8500
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 20.24,
|
| 1134 |
+
"eval_accuracy_score": 0.9638975402021229,
|
| 1135 |
+
"eval_f1": 0.6709677419354839,
|
| 1136 |
+
"eval_loss": 0.25359493494033813,
|
| 1137 |
+
"eval_precision": 0.7282913165266106,
|
| 1138 |
+
"eval_recall": 0.6220095693779905,
|
| 1139 |
+
"eval_runtime": 6.7422,
|
| 1140 |
+
"eval_samples_per_second": 149.655,
|
| 1141 |
+
"eval_steps_per_second": 18.837,
|
| 1142 |
+
"step": 8600
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 20.47,
|
| 1146 |
+
"eval_accuracy_score": 0.964215343545414,
|
| 1147 |
+
"eval_f1": 0.6709346991037132,
|
| 1148 |
+
"eval_loss": 0.24693100154399872,
|
| 1149 |
+
"eval_precision": 0.721763085399449,
|
| 1150 |
+
"eval_recall": 0.6267942583732058,
|
| 1151 |
+
"eval_runtime": 6.7296,
|
| 1152 |
+
"eval_samples_per_second": 149.934,
|
| 1153 |
+
"eval_steps_per_second": 18.872,
|
| 1154 |
+
"step": 8700
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 20.71,
|
| 1158 |
+
"eval_accuracy_score": 0.9637704188648064,
|
| 1159 |
+
"eval_f1": 0.6687938736439056,
|
| 1160 |
+
"eval_loss": 0.2458009421825409,
|
| 1161 |
+
"eval_precision": 0.7168262653898769,
|
| 1162 |
+
"eval_recall": 0.6267942583732058,
|
| 1163 |
+
"eval_runtime": 6.7627,
|
| 1164 |
+
"eval_samples_per_second": 149.201,
|
| 1165 |
+
"eval_steps_per_second": 18.78,
|
| 1166 |
+
"step": 8800
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 20.94,
|
| 1170 |
+
"eval_accuracy_score": 0.9648509502319964,
|
| 1171 |
+
"eval_f1": 0.676304211187932,
|
| 1172 |
+
"eval_loss": 0.23430827260017395,
|
| 1173 |
+
"eval_precision": 0.7125827814569536,
|
| 1174 |
+
"eval_recall": 0.6435406698564593,
|
| 1175 |
+
"eval_runtime": 6.7289,
|
| 1176 |
+
"eval_samples_per_second": 149.951,
|
| 1177 |
+
"eval_steps_per_second": 18.874,
|
| 1178 |
+
"step": 8900
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 21.18,
|
| 1182 |
+
"learning_rate": 1.4705882352941177e-06,
|
| 1183 |
+
"loss": 0.0149,
|
| 1184 |
+
"step": 9000
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 21.18,
|
| 1188 |
+
"eval_accuracy_score": 0.9651687535752876,
|
| 1189 |
+
"eval_f1": 0.6788413098236775,
|
| 1190 |
+
"eval_loss": 0.23078210651874542,
|
| 1191 |
+
"eval_precision": 0.7167553191489362,
|
| 1192 |
+
"eval_recall": 0.6447368421052632,
|
| 1193 |
+
"eval_runtime": 6.7181,
|
| 1194 |
+
"eval_samples_per_second": 150.19,
|
| 1195 |
+
"eval_steps_per_second": 18.904,
|
| 1196 |
+
"step": 9000
|
| 1197 |
+
}
|
| 1198 |
+
],
|
| 1199 |
+
"max_steps": 12750,
|
| 1200 |
+
"num_train_epochs": 30,
|
| 1201 |
+
"total_flos": 4695577703714304.0,
|
| 1202 |
+
"trial_name": null,
|
| 1203 |
+
"trial_params": null
|
| 1204 |
+
}
|