End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 14.0,
|
| 3 |
+
"eval_accuracy": 0.7259425030125667,
|
| 4 |
+
"eval_f1": 0.7255287692885048,
|
| 5 |
+
"eval_loss": 1.0520342588424683,
|
| 6 |
+
"eval_precision": 0.7292828942465408,
|
| 7 |
+
"eval_recall": 0.7259425030125667,
|
| 8 |
+
"eval_runtime": 77.9251,
|
| 9 |
+
"eval_samples_per_second": 74.546,
|
| 10 |
+
"eval_steps_per_second": 4.671
|
| 11 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 14.0,
|
| 3 |
+
"eval_accuracy": 0.7259425030125667,
|
| 4 |
+
"eval_f1": 0.7255287692885048,
|
| 5 |
+
"eval_loss": 1.0520342588424683,
|
| 6 |
+
"eval_precision": 0.7292828942465408,
|
| 7 |
+
"eval_recall": 0.7259425030125667,
|
| 8 |
+
"eval_runtime": 77.9251,
|
| 9 |
+
"eval_samples_per_second": 74.546,
|
| 10 |
+
"eval_steps_per_second": 4.671
|
| 11 |
+
}
|
runs/May14_06-16-41_d941f312990f/events.out.tfevents.1684057594.d941f312990f.517.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:698c90fd084217a98662ff9e1e2b4e74a11725b816730d9c493bbd042d63b324
|
| 3 |
+
size 560
|
trainer_state.json
ADDED
|
@@ -0,0 +1,955 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7259425030125667,
|
| 3 |
+
"best_model_checkpoint": "vit-base-patch16-224-finetuned-on-all-affectnet_short/checkpoint-1001",
|
| 4 |
+
"epoch": 14.0,
|
| 5 |
+
"global_step": 1274,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.11,
|
| 12 |
+
"learning_rate": 1.5625e-06,
|
| 13 |
+
"loss": 2.1431,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.22,
|
| 18 |
+
"learning_rate": 3.125e-06,
|
| 19 |
+
"loss": 2.1025,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.33,
|
| 24 |
+
"learning_rate": 4.6875000000000004e-06,
|
| 25 |
+
"loss": 2.0697,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.44,
|
| 30 |
+
"learning_rate": 6.25e-06,
|
| 31 |
+
"loss": 2.0103,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.55,
|
| 36 |
+
"learning_rate": 7.8125e-06,
|
| 37 |
+
"loss": 1.9391,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.66,
|
| 42 |
+
"learning_rate": 9.375000000000001e-06,
|
| 43 |
+
"loss": 1.8201,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.77,
|
| 48 |
+
"learning_rate": 1.0937500000000002e-05,
|
| 49 |
+
"loss": 1.732,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.88,
|
| 54 |
+
"learning_rate": 1.25e-05,
|
| 55 |
+
"loss": 1.6031,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.99,
|
| 60 |
+
"learning_rate": 1.4062500000000001e-05,
|
| 61 |
+
"loss": 1.5399,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 1.0,
|
| 66 |
+
"eval_accuracy": 0.5097262867963505,
|
| 67 |
+
"eval_f1": 0.4826892154370284,
|
| 68 |
+
"eval_loss": 1.4698057174682617,
|
| 69 |
+
"eval_precision": 0.507855904377878,
|
| 70 |
+
"eval_recall": 0.5097262867963505,
|
| 71 |
+
"eval_runtime": 77.3356,
|
| 72 |
+
"eval_samples_per_second": 75.114,
|
| 73 |
+
"eval_steps_per_second": 4.707,
|
| 74 |
+
"step": 91
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.1,
|
| 78 |
+
"learning_rate": 1.5625e-05,
|
| 79 |
+
"loss": 1.4664,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 1.21,
|
| 84 |
+
"learning_rate": 1.71875e-05,
|
| 85 |
+
"loss": 1.4045,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 1.32,
|
| 90 |
+
"learning_rate": 1.8750000000000002e-05,
|
| 91 |
+
"loss": 1.3892,
|
| 92 |
+
"step": 120
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 1.43,
|
| 96 |
+
"learning_rate": 1.9965095986038395e-05,
|
| 97 |
+
"loss": 1.3472,
|
| 98 |
+
"step": 130
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 1.54,
|
| 102 |
+
"learning_rate": 1.9790575916230367e-05,
|
| 103 |
+
"loss": 1.3115,
|
| 104 |
+
"step": 140
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 1.65,
|
| 108 |
+
"learning_rate": 1.961605584642234e-05,
|
| 109 |
+
"loss": 1.3218,
|
| 110 |
+
"step": 150
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 1.76,
|
| 114 |
+
"learning_rate": 1.9441535776614313e-05,
|
| 115 |
+
"loss": 1.3043,
|
| 116 |
+
"step": 160
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 1.87,
|
| 120 |
+
"learning_rate": 1.9267015706806285e-05,
|
| 121 |
+
"loss": 1.2753,
|
| 122 |
+
"step": 170
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 1.98,
|
| 126 |
+
"learning_rate": 1.9092495636998257e-05,
|
| 127 |
+
"loss": 1.284,
|
| 128 |
+
"step": 180
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 2.0,
|
| 132 |
+
"eval_accuracy": 0.6409020485453606,
|
| 133 |
+
"eval_f1": 0.6225641647083693,
|
| 134 |
+
"eval_loss": 1.2025827169418335,
|
| 135 |
+
"eval_precision": 0.6513848819022959,
|
| 136 |
+
"eval_recall": 0.6409020485453606,
|
| 137 |
+
"eval_runtime": 76.932,
|
| 138 |
+
"eval_samples_per_second": 75.508,
|
| 139 |
+
"eval_steps_per_second": 4.731,
|
| 140 |
+
"step": 182
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 2.09,
|
| 144 |
+
"learning_rate": 1.891797556719023e-05,
|
| 145 |
+
"loss": 1.233,
|
| 146 |
+
"step": 190
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.2,
|
| 150 |
+
"learning_rate": 1.87434554973822e-05,
|
| 151 |
+
"loss": 1.2285,
|
| 152 |
+
"step": 200
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 2.31,
|
| 156 |
+
"learning_rate": 1.856893542757417e-05,
|
| 157 |
+
"loss": 1.2255,
|
| 158 |
+
"step": 210
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 2.42,
|
| 162 |
+
"learning_rate": 1.8394415357766143e-05,
|
| 163 |
+
"loss": 1.2372,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 2.53,
|
| 168 |
+
"learning_rate": 1.8219895287958115e-05,
|
| 169 |
+
"loss": 1.2051,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 2.64,
|
| 174 |
+
"learning_rate": 1.804537521815009e-05,
|
| 175 |
+
"loss": 1.2115,
|
| 176 |
+
"step": 240
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 2.75,
|
| 180 |
+
"learning_rate": 1.787085514834206e-05,
|
| 181 |
+
"loss": 1.1856,
|
| 182 |
+
"step": 250
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 2.86,
|
| 186 |
+
"learning_rate": 1.7696335078534033e-05,
|
| 187 |
+
"loss": 1.2252,
|
| 188 |
+
"step": 260
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 2.97,
|
| 192 |
+
"learning_rate": 1.7521815008726005e-05,
|
| 193 |
+
"loss": 1.2259,
|
| 194 |
+
"step": 270
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 3.0,
|
| 198 |
+
"eval_accuracy": 0.6722327422964366,
|
| 199 |
+
"eval_f1": 0.6694322092982443,
|
| 200 |
+
"eval_loss": 1.1367170810699463,
|
| 201 |
+
"eval_precision": 0.6749494588754208,
|
| 202 |
+
"eval_recall": 0.6722327422964366,
|
| 203 |
+
"eval_runtime": 76.6377,
|
| 204 |
+
"eval_samples_per_second": 75.798,
|
| 205 |
+
"eval_steps_per_second": 4.75,
|
| 206 |
+
"step": 273
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 3.08,
|
| 210 |
+
"learning_rate": 1.734729493891798e-05,
|
| 211 |
+
"loss": 1.1786,
|
| 212 |
+
"step": 280
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 3.19,
|
| 216 |
+
"learning_rate": 1.7172774869109948e-05,
|
| 217 |
+
"loss": 1.1498,
|
| 218 |
+
"step": 290
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 3.3,
|
| 222 |
+
"learning_rate": 1.699825479930192e-05,
|
| 223 |
+
"loss": 1.1838,
|
| 224 |
+
"step": 300
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 3.41,
|
| 228 |
+
"learning_rate": 1.682373472949389e-05,
|
| 229 |
+
"loss": 1.1584,
|
| 230 |
+
"step": 310
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 3.52,
|
| 234 |
+
"learning_rate": 1.6649214659685866e-05,
|
| 235 |
+
"loss": 1.1931,
|
| 236 |
+
"step": 320
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 3.63,
|
| 240 |
+
"learning_rate": 1.6474694589877838e-05,
|
| 241 |
+
"loss": 1.1667,
|
| 242 |
+
"step": 330
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 3.74,
|
| 246 |
+
"learning_rate": 1.630017452006981e-05,
|
| 247 |
+
"loss": 1.1376,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 3.85,
|
| 252 |
+
"learning_rate": 1.612565445026178e-05,
|
| 253 |
+
"loss": 1.2088,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 3.96,
|
| 258 |
+
"learning_rate": 1.5951134380453756e-05,
|
| 259 |
+
"loss": 1.1663,
|
| 260 |
+
"step": 360
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 4.0,
|
| 264 |
+
"eval_accuracy": 0.6837665691168876,
|
| 265 |
+
"eval_f1": 0.6814457244399261,
|
| 266 |
+
"eval_loss": 1.1086437702178955,
|
| 267 |
+
"eval_precision": 0.690292989537859,
|
| 268 |
+
"eval_recall": 0.6837665691168876,
|
| 269 |
+
"eval_runtime": 76.4751,
|
| 270 |
+
"eval_samples_per_second": 75.959,
|
| 271 |
+
"eval_steps_per_second": 4.76,
|
| 272 |
+
"step": 364
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 4.07,
|
| 276 |
+
"learning_rate": 1.5776614310645727e-05,
|
| 277 |
+
"loss": 1.1678,
|
| 278 |
+
"step": 370
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 4.18,
|
| 282 |
+
"learning_rate": 1.56020942408377e-05,
|
| 283 |
+
"loss": 1.1371,
|
| 284 |
+
"step": 380
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 4.29,
|
| 288 |
+
"learning_rate": 1.5427574171029667e-05,
|
| 289 |
+
"loss": 1.1631,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 4.4,
|
| 294 |
+
"learning_rate": 1.5253054101221642e-05,
|
| 295 |
+
"loss": 1.132,
|
| 296 |
+
"step": 400
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 4.51,
|
| 300 |
+
"learning_rate": 1.5078534031413614e-05,
|
| 301 |
+
"loss": 1.1467,
|
| 302 |
+
"step": 410
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 4.62,
|
| 306 |
+
"learning_rate": 1.4904013961605585e-05,
|
| 307 |
+
"loss": 1.1066,
|
| 308 |
+
"step": 420
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 4.73,
|
| 312 |
+
"learning_rate": 1.4729493891797557e-05,
|
| 313 |
+
"loss": 1.1346,
|
| 314 |
+
"step": 430
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 4.84,
|
| 318 |
+
"learning_rate": 1.455497382198953e-05,
|
| 319 |
+
"loss": 1.1359,
|
| 320 |
+
"step": 440
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 4.95,
|
| 324 |
+
"learning_rate": 1.4380453752181502e-05,
|
| 325 |
+
"loss": 1.1401,
|
| 326 |
+
"step": 450
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 5.0,
|
| 330 |
+
"eval_accuracy": 0.705457049406094,
|
| 331 |
+
"eval_f1": 0.7041784509157941,
|
| 332 |
+
"eval_loss": 1.0781627893447876,
|
| 333 |
+
"eval_precision": 0.7069679332637199,
|
| 334 |
+
"eval_recall": 0.705457049406094,
|
| 335 |
+
"eval_runtime": 76.7539,
|
| 336 |
+
"eval_samples_per_second": 75.683,
|
| 337 |
+
"eval_steps_per_second": 4.742,
|
| 338 |
+
"step": 455
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 5.05,
|
| 342 |
+
"learning_rate": 1.4205933682373474e-05,
|
| 343 |
+
"loss": 1.1287,
|
| 344 |
+
"step": 460
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 5.16,
|
| 348 |
+
"learning_rate": 1.4031413612565445e-05,
|
| 349 |
+
"loss": 1.1104,
|
| 350 |
+
"step": 470
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 5.27,
|
| 354 |
+
"learning_rate": 1.3856893542757418e-05,
|
| 355 |
+
"loss": 1.1157,
|
| 356 |
+
"step": 480
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 5.38,
|
| 360 |
+
"learning_rate": 1.368237347294939e-05,
|
| 361 |
+
"loss": 1.1344,
|
| 362 |
+
"step": 490
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 5.49,
|
| 366 |
+
"learning_rate": 1.3507853403141362e-05,
|
| 367 |
+
"loss": 1.1204,
|
| 368 |
+
"step": 500
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 5.6,
|
| 372 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 373 |
+
"loss": 1.1273,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 5.71,
|
| 378 |
+
"learning_rate": 1.3158813263525307e-05,
|
| 379 |
+
"loss": 1.0967,
|
| 380 |
+
"step": 520
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 5.82,
|
| 384 |
+
"learning_rate": 1.2984293193717278e-05,
|
| 385 |
+
"loss": 1.1138,
|
| 386 |
+
"step": 530
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 5.93,
|
| 390 |
+
"learning_rate": 1.280977312390925e-05,
|
| 391 |
+
"loss": 1.1229,
|
| 392 |
+
"step": 540
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 6.0,
|
| 396 |
+
"eval_accuracy": 0.705457049406094,
|
| 397 |
+
"eval_f1": 0.7035699099561213,
|
| 398 |
+
"eval_loss": 1.073372721672058,
|
| 399 |
+
"eval_precision": 0.7093082547464518,
|
| 400 |
+
"eval_recall": 0.705457049406094,
|
| 401 |
+
"eval_runtime": 76.3979,
|
| 402 |
+
"eval_samples_per_second": 76.036,
|
| 403 |
+
"eval_steps_per_second": 4.765,
|
| 404 |
+
"step": 546
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 6.04,
|
| 408 |
+
"learning_rate": 1.2635253054101221e-05,
|
| 409 |
+
"loss": 1.0841,
|
| 410 |
+
"step": 550
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 6.15,
|
| 414 |
+
"learning_rate": 1.2460732984293196e-05,
|
| 415 |
+
"loss": 1.0904,
|
| 416 |
+
"step": 560
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 6.26,
|
| 420 |
+
"learning_rate": 1.2286212914485168e-05,
|
| 421 |
+
"loss": 1.1206,
|
| 422 |
+
"step": 570
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 6.37,
|
| 426 |
+
"learning_rate": 1.2111692844677138e-05,
|
| 427 |
+
"loss": 1.0926,
|
| 428 |
+
"step": 580
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 6.48,
|
| 432 |
+
"learning_rate": 1.193717277486911e-05,
|
| 433 |
+
"loss": 1.0795,
|
| 434 |
+
"step": 590
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 6.59,
|
| 438 |
+
"learning_rate": 1.1762652705061085e-05,
|
| 439 |
+
"loss": 1.1088,
|
| 440 |
+
"step": 600
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 6.7,
|
| 444 |
+
"learning_rate": 1.1588132635253056e-05,
|
| 445 |
+
"loss": 1.1009,
|
| 446 |
+
"step": 610
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 6.81,
|
| 450 |
+
"learning_rate": 1.1413612565445028e-05,
|
| 451 |
+
"loss": 1.0972,
|
| 452 |
+
"step": 620
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 6.92,
|
| 456 |
+
"learning_rate": 1.1239092495636998e-05,
|
| 457 |
+
"loss": 1.0929,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 7.0,
|
| 462 |
+
"eval_accuracy": 0.7119986228266483,
|
| 463 |
+
"eval_f1": 0.7099253324640709,
|
| 464 |
+
"eval_loss": 1.0673844814300537,
|
| 465 |
+
"eval_precision": 0.7147287318130077,
|
| 466 |
+
"eval_recall": 0.7119986228266483,
|
| 467 |
+
"eval_runtime": 76.6137,
|
| 468 |
+
"eval_samples_per_second": 75.822,
|
| 469 |
+
"eval_steps_per_second": 4.751,
|
| 470 |
+
"step": 637
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 7.03,
|
| 474 |
+
"learning_rate": 1.1064572425828973e-05,
|
| 475 |
+
"loss": 1.0717,
|
| 476 |
+
"step": 640
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 7.14,
|
| 480 |
+
"learning_rate": 1.0890052356020944e-05,
|
| 481 |
+
"loss": 1.0809,
|
| 482 |
+
"step": 650
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 7.25,
|
| 486 |
+
"learning_rate": 1.0715532286212916e-05,
|
| 487 |
+
"loss": 1.0876,
|
| 488 |
+
"step": 660
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 7.36,
|
| 492 |
+
"learning_rate": 1.0541012216404887e-05,
|
| 493 |
+
"loss": 1.0676,
|
| 494 |
+
"step": 670
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 7.47,
|
| 498 |
+
"learning_rate": 1.036649214659686e-05,
|
| 499 |
+
"loss": 1.0684,
|
| 500 |
+
"step": 680
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 7.58,
|
| 504 |
+
"learning_rate": 1.0191972076788832e-05,
|
| 505 |
+
"loss": 1.0806,
|
| 506 |
+
"step": 690
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 7.69,
|
| 510 |
+
"learning_rate": 1.0017452006980804e-05,
|
| 511 |
+
"loss": 1.0835,
|
| 512 |
+
"step": 700
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 7.8,
|
| 516 |
+
"learning_rate": 9.842931937172776e-06,
|
| 517 |
+
"loss": 1.0859,
|
| 518 |
+
"step": 710
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 7.91,
|
| 522 |
+
"learning_rate": 9.668411867364747e-06,
|
| 523 |
+
"loss": 1.0826,
|
| 524 |
+
"step": 720
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 8.0,
|
| 528 |
+
"eval_accuracy": 0.72095024961267,
|
| 529 |
+
"eval_f1": 0.719058410436116,
|
| 530 |
+
"eval_loss": 1.0600910186767578,
|
| 531 |
+
"eval_precision": 0.7225889776460869,
|
| 532 |
+
"eval_recall": 0.72095024961267,
|
| 533 |
+
"eval_runtime": 76.5462,
|
| 534 |
+
"eval_samples_per_second": 75.889,
|
| 535 |
+
"eval_steps_per_second": 4.755,
|
| 536 |
+
"step": 728
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 8.02,
|
| 540 |
+
"learning_rate": 9.49389179755672e-06,
|
| 541 |
+
"loss": 1.0786,
|
| 542 |
+
"step": 730
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 8.13,
|
| 546 |
+
"learning_rate": 9.319371727748692e-06,
|
| 547 |
+
"loss": 1.075,
|
| 548 |
+
"step": 740
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 8.24,
|
| 552 |
+
"learning_rate": 9.144851657940664e-06,
|
| 553 |
+
"loss": 1.0708,
|
| 554 |
+
"step": 750
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 8.35,
|
| 558 |
+
"learning_rate": 8.970331588132635e-06,
|
| 559 |
+
"loss": 1.0736,
|
| 560 |
+
"step": 760
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 8.46,
|
| 564 |
+
"learning_rate": 8.795811518324609e-06,
|
| 565 |
+
"loss": 1.0556,
|
| 566 |
+
"step": 770
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 8.57,
|
| 570 |
+
"learning_rate": 8.62129144851658e-06,
|
| 571 |
+
"loss": 1.0746,
|
| 572 |
+
"step": 780
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 8.68,
|
| 576 |
+
"learning_rate": 8.446771378708552e-06,
|
| 577 |
+
"loss": 1.0645,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 8.79,
|
| 582 |
+
"learning_rate": 8.272251308900523e-06,
|
| 583 |
+
"loss": 1.0632,
|
| 584 |
+
"step": 800
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 8.9,
|
| 588 |
+
"learning_rate": 8.097731239092497e-06,
|
| 589 |
+
"loss": 1.0414,
|
| 590 |
+
"step": 810
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 9.0,
|
| 594 |
+
"eval_accuracy": 0.7202616629368221,
|
| 595 |
+
"eval_f1": 0.7196022730106485,
|
| 596 |
+
"eval_loss": 1.0558252334594727,
|
| 597 |
+
"eval_precision": 0.7210740761398038,
|
| 598 |
+
"eval_recall": 0.7202616629368221,
|
| 599 |
+
"eval_runtime": 76.4867,
|
| 600 |
+
"eval_samples_per_second": 75.948,
|
| 601 |
+
"eval_steps_per_second": 4.759,
|
| 602 |
+
"step": 819
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 9.01,
|
| 606 |
+
"learning_rate": 7.923211169284468e-06,
|
| 607 |
+
"loss": 1.0664,
|
| 608 |
+
"step": 820
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 9.12,
|
| 612 |
+
"learning_rate": 7.748691099476442e-06,
|
| 613 |
+
"loss": 1.0435,
|
| 614 |
+
"step": 830
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 9.23,
|
| 618 |
+
"learning_rate": 7.5741710296684124e-06,
|
| 619 |
+
"loss": 1.0568,
|
| 620 |
+
"step": 840
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 9.34,
|
| 624 |
+
"learning_rate": 7.399650959860385e-06,
|
| 625 |
+
"loss": 1.0368,
|
| 626 |
+
"step": 850
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 9.45,
|
| 630 |
+
"learning_rate": 7.2251308900523565e-06,
|
| 631 |
+
"loss": 1.0484,
|
| 632 |
+
"step": 860
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 9.56,
|
| 636 |
+
"learning_rate": 7.050610820244329e-06,
|
| 637 |
+
"loss": 1.0534,
|
| 638 |
+
"step": 870
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 9.67,
|
| 642 |
+
"learning_rate": 6.8760907504363005e-06,
|
| 643 |
+
"loss": 1.0775,
|
| 644 |
+
"step": 880
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 9.78,
|
| 648 |
+
"learning_rate": 6.701570680628273e-06,
|
| 649 |
+
"loss": 1.0693,
|
| 650 |
+
"step": 890
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 9.89,
|
| 654 |
+
"learning_rate": 6.527050610820245e-06,
|
| 655 |
+
"loss": 1.0692,
|
| 656 |
+
"step": 900
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 10.0,
|
| 660 |
+
"learning_rate": 6.352530541012217e-06,
|
| 661 |
+
"loss": 1.0649,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 10.0,
|
| 666 |
+
"eval_accuracy": 0.7178516095713547,
|
| 667 |
+
"eval_f1": 0.7175272380765804,
|
| 668 |
+
"eval_loss": 1.049896001815796,
|
| 669 |
+
"eval_precision": 0.7193816590541017,
|
| 670 |
+
"eval_recall": 0.7178516095713547,
|
| 671 |
+
"eval_runtime": 76.4526,
|
| 672 |
+
"eval_samples_per_second": 75.982,
|
| 673 |
+
"eval_steps_per_second": 4.761,
|
| 674 |
+
"step": 910
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 10.11,
|
| 678 |
+
"learning_rate": 6.178010471204189e-06,
|
| 679 |
+
"loss": 1.0582,
|
| 680 |
+
"step": 920
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 10.22,
|
| 684 |
+
"learning_rate": 6.003490401396161e-06,
|
| 685 |
+
"loss": 1.0642,
|
| 686 |
+
"step": 930
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 10.33,
|
| 690 |
+
"learning_rate": 5.828970331588133e-06,
|
| 691 |
+
"loss": 1.0366,
|
| 692 |
+
"step": 940
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 10.44,
|
| 696 |
+
"learning_rate": 5.654450261780105e-06,
|
| 697 |
+
"loss": 1.0479,
|
| 698 |
+
"step": 950
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 10.55,
|
| 702 |
+
"learning_rate": 5.479930191972077e-06,
|
| 703 |
+
"loss": 1.0341,
|
| 704 |
+
"step": 960
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 10.66,
|
| 708 |
+
"learning_rate": 5.30541012216405e-06,
|
| 709 |
+
"loss": 1.0249,
|
| 710 |
+
"step": 970
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 10.77,
|
| 714 |
+
"learning_rate": 5.130890052356021e-06,
|
| 715 |
+
"loss": 1.0442,
|
| 716 |
+
"step": 980
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 10.88,
|
| 720 |
+
"learning_rate": 4.956369982547993e-06,
|
| 721 |
+
"loss": 1.0389,
|
| 722 |
+
"step": 990
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 10.99,
|
| 726 |
+
"learning_rate": 4.781849912739966e-06,
|
| 727 |
+
"loss": 1.0554,
|
| 728 |
+
"step": 1000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 11.0,
|
| 732 |
+
"eval_accuracy": 0.7259425030125667,
|
| 733 |
+
"eval_f1": 0.7255287692885048,
|
| 734 |
+
"eval_loss": 1.0520342588424683,
|
| 735 |
+
"eval_precision": 0.7292828942465408,
|
| 736 |
+
"eval_recall": 0.7259425030125667,
|
| 737 |
+
"eval_runtime": 76.5938,
|
| 738 |
+
"eval_samples_per_second": 75.842,
|
| 739 |
+
"eval_steps_per_second": 4.752,
|
| 740 |
+
"step": 1001
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 11.1,
|
| 744 |
+
"learning_rate": 4.607329842931937e-06,
|
| 745 |
+
"loss": 1.0067,
|
| 746 |
+
"step": 1010
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 11.21,
|
| 750 |
+
"learning_rate": 4.43280977312391e-06,
|
| 751 |
+
"loss": 1.0468,
|
| 752 |
+
"step": 1020
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 11.32,
|
| 756 |
+
"learning_rate": 4.2582897033158814e-06,
|
| 757 |
+
"loss": 1.0501,
|
| 758 |
+
"step": 1030
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 11.43,
|
| 762 |
+
"learning_rate": 4.083769633507854e-06,
|
| 763 |
+
"loss": 1.0587,
|
| 764 |
+
"step": 1040
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 11.54,
|
| 768 |
+
"learning_rate": 3.9092495636998255e-06,
|
| 769 |
+
"loss": 1.0445,
|
| 770 |
+
"step": 1050
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 11.65,
|
| 774 |
+
"learning_rate": 3.7347294938917975e-06,
|
| 775 |
+
"loss": 1.0479,
|
| 776 |
+
"step": 1060
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 11.76,
|
| 780 |
+
"learning_rate": 3.56020942408377e-06,
|
| 781 |
+
"loss": 0.9979,
|
| 782 |
+
"step": 1070
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 11.87,
|
| 786 |
+
"learning_rate": 3.385689354275742e-06,
|
| 787 |
+
"loss": 1.039,
|
| 788 |
+
"step": 1080
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 11.98,
|
| 792 |
+
"learning_rate": 3.211169284467714e-06,
|
| 793 |
+
"loss": 1.0496,
|
| 794 |
+
"step": 1090
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 12.0,
|
| 798 |
+
"eval_accuracy": 0.72095024961267,
|
| 799 |
+
"eval_f1": 0.7203549331299183,
|
| 800 |
+
"eval_loss": 1.046631097793579,
|
| 801 |
+
"eval_precision": 0.7211692094954848,
|
| 802 |
+
"eval_recall": 0.72095024961267,
|
| 803 |
+
"eval_runtime": 76.8263,
|
| 804 |
+
"eval_samples_per_second": 75.612,
|
| 805 |
+
"eval_steps_per_second": 4.738,
|
| 806 |
+
"step": 1092
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 12.09,
|
| 810 |
+
"learning_rate": 3.036649214659686e-06,
|
| 811 |
+
"loss": 0.9985,
|
| 812 |
+
"step": 1100
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 12.2,
|
| 816 |
+
"learning_rate": 2.862129144851658e-06,
|
| 817 |
+
"loss": 1.0311,
|
| 818 |
+
"step": 1110
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 12.31,
|
| 822 |
+
"learning_rate": 2.68760907504363e-06,
|
| 823 |
+
"loss": 1.0139,
|
| 824 |
+
"step": 1120
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 12.42,
|
| 828 |
+
"learning_rate": 2.513089005235602e-06,
|
| 829 |
+
"loss": 1.024,
|
| 830 |
+
"step": 1130
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 12.53,
|
| 834 |
+
"learning_rate": 2.338568935427574e-06,
|
| 835 |
+
"loss": 1.0341,
|
| 836 |
+
"step": 1140
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 12.64,
|
| 840 |
+
"learning_rate": 2.1640488656195462e-06,
|
| 841 |
+
"loss": 1.0179,
|
| 842 |
+
"step": 1150
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 12.75,
|
| 846 |
+
"learning_rate": 1.9895287958115183e-06,
|
| 847 |
+
"loss": 1.0009,
|
| 848 |
+
"step": 1160
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 12.86,
|
| 852 |
+
"learning_rate": 1.8150087260034905e-06,
|
| 853 |
+
"loss": 1.03,
|
| 854 |
+
"step": 1170
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 12.97,
|
| 858 |
+
"learning_rate": 1.6404886561954625e-06,
|
| 859 |
+
"loss": 1.064,
|
| 860 |
+
"step": 1180
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 13.0,
|
| 864 |
+
"eval_accuracy": 0.7219831296264417,
|
| 865 |
+
"eval_f1": 0.7211325691698364,
|
| 866 |
+
"eval_loss": 1.0502337217330933,
|
| 867 |
+
"eval_precision": 0.723483429082911,
|
| 868 |
+
"eval_recall": 0.7219831296264417,
|
| 869 |
+
"eval_runtime": 76.507,
|
| 870 |
+
"eval_samples_per_second": 75.928,
|
| 871 |
+
"eval_steps_per_second": 4.758,
|
| 872 |
+
"step": 1183
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 13.08,
|
| 876 |
+
"learning_rate": 1.4659685863874346e-06,
|
| 877 |
+
"loss": 1.0242,
|
| 878 |
+
"step": 1190
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 13.19,
|
| 882 |
+
"learning_rate": 1.2914485165794066e-06,
|
| 883 |
+
"loss": 1.0111,
|
| 884 |
+
"step": 1200
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 13.3,
|
| 888 |
+
"learning_rate": 1.1169284467713788e-06,
|
| 889 |
+
"loss": 1.0284,
|
| 890 |
+
"step": 1210
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 13.41,
|
| 894 |
+
"learning_rate": 9.424083769633509e-07,
|
| 895 |
+
"loss": 1.0189,
|
| 896 |
+
"step": 1220
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 13.52,
|
| 900 |
+
"learning_rate": 7.67888307155323e-07,
|
| 901 |
+
"loss": 1.0276,
|
| 902 |
+
"step": 1230
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 13.63,
|
| 906 |
+
"learning_rate": 5.93368237347295e-07,
|
| 907 |
+
"loss": 1.0255,
|
| 908 |
+
"step": 1240
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 13.74,
|
| 912 |
+
"learning_rate": 4.1884816753926706e-07,
|
| 913 |
+
"loss": 1.0091,
|
| 914 |
+
"step": 1250
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 13.85,
|
| 918 |
+
"learning_rate": 2.443280977312391e-07,
|
| 919 |
+
"loss": 1.0583,
|
| 920 |
+
"step": 1260
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 13.96,
|
| 924 |
+
"learning_rate": 6.980802792321118e-08,
|
| 925 |
+
"loss": 1.0386,
|
| 926 |
+
"step": 1270
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 14.0,
|
| 930 |
+
"eval_accuracy": 0.7206059562747461,
|
| 931 |
+
"eval_f1": 0.7200302760557185,
|
| 932 |
+
"eval_loss": 1.047481894493103,
|
| 933 |
+
"eval_precision": 0.7207914871809301,
|
| 934 |
+
"eval_recall": 0.7206059562747461,
|
| 935 |
+
"eval_runtime": 76.9364,
|
| 936 |
+
"eval_samples_per_second": 75.504,
|
| 937 |
+
"eval_steps_per_second": 4.731,
|
| 938 |
+
"step": 1274
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 14.0,
|
| 942 |
+
"step": 1274,
|
| 943 |
+
"total_flos": 2.5206554963406717e+19,
|
| 944 |
+
"train_loss": 1.1640522330297594,
|
| 945 |
+
"train_runtime": 12331.9995,
|
| 946 |
+
"train_samples_per_second": 26.375,
|
| 947 |
+
"train_steps_per_second": 0.103
|
| 948 |
+
}
|
| 949 |
+
],
|
| 950 |
+
"max_steps": 1274,
|
| 951 |
+
"num_train_epochs": 14,
|
| 952 |
+
"total_flos": 2.5206554963406717e+19,
|
| 953 |
+
"trial_name": null,
|
| 954 |
+
"trial_params": null
|
| 955 |
+
}
|