Training in progress, epoch 5
Browse files- all_results.json +15 -0
- eval_results.json +10 -0
- pytorch_model.bin +1 -1
- train_results.json +7 -0
- trainer_state.json +838 -0
- training_args.bin +1 -1
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.944,
|
| 4 |
+
"eval_f1": 0.9437763097832027,
|
| 5 |
+
"eval_loss": 0.18123038113117218,
|
| 6 |
+
"eval_precision": 0.943995549402673,
|
| 7 |
+
"eval_recall": 0.944155717059284,
|
| 8 |
+
"eval_runtime": 39.4403,
|
| 9 |
+
"eval_samples_per_second": 50.71,
|
| 10 |
+
"eval_steps_per_second": 3.169,
|
| 11 |
+
"train_loss": 0.603860605430603,
|
| 12 |
+
"train_runtime": 3719.6599,
|
| 13 |
+
"train_samples_per_second": 21.499,
|
| 14 |
+
"train_steps_per_second": 0.336
|
| 15 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"eval_accuracy": 0.944,
|
| 3 |
+
"eval_f1": 0.9437763097832027,
|
| 4 |
+
"eval_loss": 0.18123038113117218,
|
| 5 |
+
"eval_precision": 0.943995549402673,
|
| 6 |
+
"eval_recall": 0.944155717059284,
|
| 7 |
+
"eval_runtime": 39.4403,
|
| 8 |
+
"eval_samples_per_second": 50.71,
|
| 9 |
+
"eval_steps_per_second": 3.169
|
| 10 |
+
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 111596717
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ed28af4534173df0670d3910f37c30da53de20bbc7e67faddf3ee8126dc02a7
|
| 3 |
size 111596717
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"train_loss": 0.603860605430603,
|
| 4 |
+
"train_runtime": 3719.6599,
|
| 5 |
+
"train_samples_per_second": 21.499,
|
| 6 |
+
"train_steps_per_second": 0.336
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,838 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9394697348674337,
|
| 3 |
+
"best_model_checkpoint": "convnextv2-tiny-22k-384-finetuned-zkdeng/t20spiders-1000/checkpoint-1250",
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1250,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.04,
|
| 13 |
+
"learning_rate": 4.000000000000001e-06,
|
| 14 |
+
"loss": 3.0306,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.08,
|
| 19 |
+
"learning_rate": 8.000000000000001e-06,
|
| 20 |
+
"loss": 2.9932,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.12,
|
| 25 |
+
"learning_rate": 1.2e-05,
|
| 26 |
+
"loss": 2.9368,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.16,
|
| 31 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 32 |
+
"loss": 2.8148,
|
| 33 |
+
"step": 40
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.2,
|
| 37 |
+
"learning_rate": 2e-05,
|
| 38 |
+
"loss": 2.6421,
|
| 39 |
+
"step": 50
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.24,
|
| 43 |
+
"learning_rate": 2.4e-05,
|
| 44 |
+
"loss": 2.4974,
|
| 45 |
+
"step": 60
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.28,
|
| 49 |
+
"learning_rate": 2.8000000000000003e-05,
|
| 50 |
+
"loss": 2.2817,
|
| 51 |
+
"step": 70
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.32,
|
| 55 |
+
"learning_rate": 3.2000000000000005e-05,
|
| 56 |
+
"loss": 2.0781,
|
| 57 |
+
"step": 80
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.36,
|
| 61 |
+
"learning_rate": 3.6e-05,
|
| 62 |
+
"loss": 1.8205,
|
| 63 |
+
"step": 90
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.4,
|
| 67 |
+
"learning_rate": 4e-05,
|
| 68 |
+
"loss": 1.637,
|
| 69 |
+
"step": 100
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.44,
|
| 73 |
+
"learning_rate": 4.4000000000000006e-05,
|
| 74 |
+
"loss": 1.4023,
|
| 75 |
+
"step": 110
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.48,
|
| 79 |
+
"learning_rate": 4.8e-05,
|
| 80 |
+
"loss": 1.2539,
|
| 81 |
+
"step": 120
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.52,
|
| 85 |
+
"learning_rate": 4.977777777777778e-05,
|
| 86 |
+
"loss": 1.1394,
|
| 87 |
+
"step": 130
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.56,
|
| 91 |
+
"learning_rate": 4.933333333333334e-05,
|
| 92 |
+
"loss": 1.0543,
|
| 93 |
+
"step": 140
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.6,
|
| 97 |
+
"learning_rate": 4.888888888888889e-05,
|
| 98 |
+
"loss": 0.9862,
|
| 99 |
+
"step": 150
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.64,
|
| 103 |
+
"learning_rate": 4.844444444444445e-05,
|
| 104 |
+
"loss": 0.9572,
|
| 105 |
+
"step": 160
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.68,
|
| 109 |
+
"learning_rate": 4.8e-05,
|
| 110 |
+
"loss": 0.8641,
|
| 111 |
+
"step": 170
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.72,
|
| 115 |
+
"learning_rate": 4.755555555555556e-05,
|
| 116 |
+
"loss": 0.812,
|
| 117 |
+
"step": 180
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.76,
|
| 121 |
+
"learning_rate": 4.711111111111111e-05,
|
| 122 |
+
"loss": 0.7983,
|
| 123 |
+
"step": 190
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.8,
|
| 127 |
+
"learning_rate": 4.666666666666667e-05,
|
| 128 |
+
"loss": 0.7808,
|
| 129 |
+
"step": 200
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.84,
|
| 133 |
+
"learning_rate": 4.6222222222222224e-05,
|
| 134 |
+
"loss": 0.7194,
|
| 135 |
+
"step": 210
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.88,
|
| 139 |
+
"learning_rate": 4.577777777777778e-05,
|
| 140 |
+
"loss": 0.7287,
|
| 141 |
+
"step": 220
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.92,
|
| 145 |
+
"learning_rate": 4.5333333333333335e-05,
|
| 146 |
+
"loss": 0.6561,
|
| 147 |
+
"step": 230
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.96,
|
| 151 |
+
"learning_rate": 4.4888888888888894e-05,
|
| 152 |
+
"loss": 0.663,
|
| 153 |
+
"step": 240
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 1.0,
|
| 157 |
+
"learning_rate": 4.4444444444444447e-05,
|
| 158 |
+
"loss": 0.6401,
|
| 159 |
+
"step": 250
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 1.0,
|
| 163 |
+
"eval_accuracy": 0.8739369684842421,
|
| 164 |
+
"eval_f1": 0.8740592498514836,
|
| 165 |
+
"eval_loss": 0.4404308795928955,
|
| 166 |
+
"eval_precision": 0.8775990272880249,
|
| 167 |
+
"eval_recall": 0.8746347926917346,
|
| 168 |
+
"eval_runtime": 40.5207,
|
| 169 |
+
"eval_samples_per_second": 49.333,
|
| 170 |
+
"eval_steps_per_second": 3.085,
|
| 171 |
+
"step": 250
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 1.04,
|
| 175 |
+
"learning_rate": 4.4000000000000006e-05,
|
| 176 |
+
"loss": 0.5997,
|
| 177 |
+
"step": 260
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.08,
|
| 181 |
+
"learning_rate": 4.355555555555556e-05,
|
| 182 |
+
"loss": 0.589,
|
| 183 |
+
"step": 270
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 1.12,
|
| 187 |
+
"learning_rate": 4.311111111111111e-05,
|
| 188 |
+
"loss": 0.5772,
|
| 189 |
+
"step": 280
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 1.16,
|
| 193 |
+
"learning_rate": 4.266666666666667e-05,
|
| 194 |
+
"loss": 0.5522,
|
| 195 |
+
"step": 290
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 1.2,
|
| 199 |
+
"learning_rate": 4.222222222222222e-05,
|
| 200 |
+
"loss": 0.528,
|
| 201 |
+
"step": 300
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 1.24,
|
| 205 |
+
"learning_rate": 4.177777777777778e-05,
|
| 206 |
+
"loss": 0.5451,
|
| 207 |
+
"step": 310
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 1.28,
|
| 211 |
+
"learning_rate": 4.133333333333333e-05,
|
| 212 |
+
"loss": 0.5514,
|
| 213 |
+
"step": 320
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 1.32,
|
| 217 |
+
"learning_rate": 4.088888888888889e-05,
|
| 218 |
+
"loss": 0.52,
|
| 219 |
+
"step": 330
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.36,
|
| 223 |
+
"learning_rate": 4.0444444444444444e-05,
|
| 224 |
+
"loss": 0.5137,
|
| 225 |
+
"step": 340
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 1.4,
|
| 229 |
+
"learning_rate": 4e-05,
|
| 230 |
+
"loss": 0.5622,
|
| 231 |
+
"step": 350
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 1.44,
|
| 235 |
+
"learning_rate": 3.9555555555555556e-05,
|
| 236 |
+
"loss": 0.4974,
|
| 237 |
+
"step": 360
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 1.48,
|
| 241 |
+
"learning_rate": 3.9111111111111115e-05,
|
| 242 |
+
"loss": 0.5295,
|
| 243 |
+
"step": 370
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 1.52,
|
| 247 |
+
"learning_rate": 3.866666666666667e-05,
|
| 248 |
+
"loss": 0.5689,
|
| 249 |
+
"step": 380
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 1.56,
|
| 253 |
+
"learning_rate": 3.8222222222222226e-05,
|
| 254 |
+
"loss": 0.5419,
|
| 255 |
+
"step": 390
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.6,
|
| 259 |
+
"learning_rate": 3.777777777777778e-05,
|
| 260 |
+
"loss": 0.464,
|
| 261 |
+
"step": 400
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.64,
|
| 265 |
+
"learning_rate": 3.733333333333334e-05,
|
| 266 |
+
"loss": 0.5126,
|
| 267 |
+
"step": 410
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 1.68,
|
| 271 |
+
"learning_rate": 3.688888888888889e-05,
|
| 272 |
+
"loss": 0.475,
|
| 273 |
+
"step": 420
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 1.72,
|
| 277 |
+
"learning_rate": 3.644444444444445e-05,
|
| 278 |
+
"loss": 0.5073,
|
| 279 |
+
"step": 430
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 1.76,
|
| 283 |
+
"learning_rate": 3.6e-05,
|
| 284 |
+
"loss": 0.4599,
|
| 285 |
+
"step": 440
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 1.8,
|
| 289 |
+
"learning_rate": 3.555555555555556e-05,
|
| 290 |
+
"loss": 0.5344,
|
| 291 |
+
"step": 450
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 1.84,
|
| 295 |
+
"learning_rate": 3.511111111111111e-05,
|
| 296 |
+
"loss": 0.4297,
|
| 297 |
+
"step": 460
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.88,
|
| 301 |
+
"learning_rate": 3.466666666666667e-05,
|
| 302 |
+
"loss": 0.4628,
|
| 303 |
+
"step": 470
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.92,
|
| 307 |
+
"learning_rate": 3.4222222222222224e-05,
|
| 308 |
+
"loss": 0.4752,
|
| 309 |
+
"step": 480
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 1.96,
|
| 313 |
+
"learning_rate": 3.377777777777778e-05,
|
| 314 |
+
"loss": 0.4443,
|
| 315 |
+
"step": 490
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 2.0,
|
| 319 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 320 |
+
"loss": 0.4281,
|
| 321 |
+
"step": 500
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 2.0,
|
| 325 |
+
"eval_accuracy": 0.9194597298649325,
|
| 326 |
+
"eval_f1": 0.9197509360762094,
|
| 327 |
+
"eval_loss": 0.2785426378250122,
|
| 328 |
+
"eval_precision": 0.9220909050125684,
|
| 329 |
+
"eval_recall": 0.9197284240270884,
|
| 330 |
+
"eval_runtime": 40.0493,
|
| 331 |
+
"eval_samples_per_second": 49.913,
|
| 332 |
+
"eval_steps_per_second": 3.121,
|
| 333 |
+
"step": 500
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 2.04,
|
| 337 |
+
"learning_rate": 3.2888888888888894e-05,
|
| 338 |
+
"loss": 0.4908,
|
| 339 |
+
"step": 510
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 2.08,
|
| 343 |
+
"learning_rate": 3.2444444444444446e-05,
|
| 344 |
+
"loss": 0.3572,
|
| 345 |
+
"step": 520
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 2.12,
|
| 349 |
+
"learning_rate": 3.2000000000000005e-05,
|
| 350 |
+
"loss": 0.3934,
|
| 351 |
+
"step": 530
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 2.16,
|
| 355 |
+
"learning_rate": 3.155555555555556e-05,
|
| 356 |
+
"loss": 0.3569,
|
| 357 |
+
"step": 540
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 2.2,
|
| 361 |
+
"learning_rate": 3.111111111111111e-05,
|
| 362 |
+
"loss": 0.3695,
|
| 363 |
+
"step": 550
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 2.24,
|
| 367 |
+
"learning_rate": 3.066666666666667e-05,
|
| 368 |
+
"loss": 0.437,
|
| 369 |
+
"step": 560
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 2.28,
|
| 373 |
+
"learning_rate": 3.0222222222222225e-05,
|
| 374 |
+
"loss": 0.3635,
|
| 375 |
+
"step": 570
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 2.32,
|
| 379 |
+
"learning_rate": 2.9777777777777777e-05,
|
| 380 |
+
"loss": 0.3828,
|
| 381 |
+
"step": 580
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 2.36,
|
| 385 |
+
"learning_rate": 2.9333333333333336e-05,
|
| 386 |
+
"loss": 0.3957,
|
| 387 |
+
"step": 590
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 2.4,
|
| 391 |
+
"learning_rate": 2.8888888888888888e-05,
|
| 392 |
+
"loss": 0.4001,
|
| 393 |
+
"step": 600
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 2.44,
|
| 397 |
+
"learning_rate": 2.8444444444444447e-05,
|
| 398 |
+
"loss": 0.386,
|
| 399 |
+
"step": 610
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 2.48,
|
| 403 |
+
"learning_rate": 2.8000000000000003e-05,
|
| 404 |
+
"loss": 0.3908,
|
| 405 |
+
"step": 620
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 2.52,
|
| 409 |
+
"learning_rate": 2.7555555555555555e-05,
|
| 410 |
+
"loss": 0.3772,
|
| 411 |
+
"step": 630
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 2.56,
|
| 415 |
+
"learning_rate": 2.7111111111111114e-05,
|
| 416 |
+
"loss": 0.3696,
|
| 417 |
+
"step": 640
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 2.6,
|
| 421 |
+
"learning_rate": 2.6666666666666667e-05,
|
| 422 |
+
"loss": 0.402,
|
| 423 |
+
"step": 650
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 2.64,
|
| 427 |
+
"learning_rate": 2.6222222222222226e-05,
|
| 428 |
+
"loss": 0.3849,
|
| 429 |
+
"step": 660
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 2.68,
|
| 433 |
+
"learning_rate": 2.5777777777777778e-05,
|
| 434 |
+
"loss": 0.3695,
|
| 435 |
+
"step": 670
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 2.72,
|
| 439 |
+
"learning_rate": 2.5333333333333337e-05,
|
| 440 |
+
"loss": 0.3935,
|
| 441 |
+
"step": 680
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 2.76,
|
| 445 |
+
"learning_rate": 2.488888888888889e-05,
|
| 446 |
+
"loss": 0.3855,
|
| 447 |
+
"step": 690
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 2.8,
|
| 451 |
+
"learning_rate": 2.4444444444444445e-05,
|
| 452 |
+
"loss": 0.3249,
|
| 453 |
+
"step": 700
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 2.84,
|
| 457 |
+
"learning_rate": 2.4e-05,
|
| 458 |
+
"loss": 0.3861,
|
| 459 |
+
"step": 710
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.88,
|
| 463 |
+
"learning_rate": 2.3555555555555556e-05,
|
| 464 |
+
"loss": 0.4361,
|
| 465 |
+
"step": 720
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 2.92,
|
| 469 |
+
"learning_rate": 2.3111111111111112e-05,
|
| 470 |
+
"loss": 0.4055,
|
| 471 |
+
"step": 730
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.96,
|
| 475 |
+
"learning_rate": 2.2666666666666668e-05,
|
| 476 |
+
"loss": 0.33,
|
| 477 |
+
"step": 740
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 3.0,
|
| 481 |
+
"learning_rate": 2.2222222222222223e-05,
|
| 482 |
+
"loss": 0.3803,
|
| 483 |
+
"step": 750
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 3.0,
|
| 487 |
+
"eval_accuracy": 0.9244622311155578,
|
| 488 |
+
"eval_f1": 0.9249258490449901,
|
| 489 |
+
"eval_loss": 0.2285059541463852,
|
| 490 |
+
"eval_precision": 0.9267835905150354,
|
| 491 |
+
"eval_recall": 0.9250601936006297,
|
| 492 |
+
"eval_runtime": 40.1666,
|
| 493 |
+
"eval_samples_per_second": 49.768,
|
| 494 |
+
"eval_steps_per_second": 3.112,
|
| 495 |
+
"step": 750
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 3.04,
|
| 499 |
+
"learning_rate": 2.177777777777778e-05,
|
| 500 |
+
"loss": 0.3654,
|
| 501 |
+
"step": 760
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 3.08,
|
| 505 |
+
"learning_rate": 2.1333333333333335e-05,
|
| 506 |
+
"loss": 0.3263,
|
| 507 |
+
"step": 770
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 3.12,
|
| 511 |
+
"learning_rate": 2.088888888888889e-05,
|
| 512 |
+
"loss": 0.2524,
|
| 513 |
+
"step": 780
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 3.16,
|
| 517 |
+
"learning_rate": 2.0444444444444446e-05,
|
| 518 |
+
"loss": 0.3482,
|
| 519 |
+
"step": 790
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 3.2,
|
| 523 |
+
"learning_rate": 2e-05,
|
| 524 |
+
"loss": 0.3732,
|
| 525 |
+
"step": 800
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 3.24,
|
| 529 |
+
"learning_rate": 1.9555555555555557e-05,
|
| 530 |
+
"loss": 0.3111,
|
| 531 |
+
"step": 810
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 3.28,
|
| 535 |
+
"learning_rate": 1.9111111111111113e-05,
|
| 536 |
+
"loss": 0.3258,
|
| 537 |
+
"step": 820
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 3.32,
|
| 541 |
+
"learning_rate": 1.866666666666667e-05,
|
| 542 |
+
"loss": 0.3643,
|
| 543 |
+
"step": 830
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 3.36,
|
| 547 |
+
"learning_rate": 1.8222222222222224e-05,
|
| 548 |
+
"loss": 0.2817,
|
| 549 |
+
"step": 840
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 3.4,
|
| 553 |
+
"learning_rate": 1.777777777777778e-05,
|
| 554 |
+
"loss": 0.3178,
|
| 555 |
+
"step": 850
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 3.44,
|
| 559 |
+
"learning_rate": 1.7333333333333336e-05,
|
| 560 |
+
"loss": 0.3233,
|
| 561 |
+
"step": 860
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 3.48,
|
| 565 |
+
"learning_rate": 1.688888888888889e-05,
|
| 566 |
+
"loss": 0.3234,
|
| 567 |
+
"step": 870
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 3.52,
|
| 571 |
+
"learning_rate": 1.6444444444444447e-05,
|
| 572 |
+
"loss": 0.3186,
|
| 573 |
+
"step": 880
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 3.56,
|
| 577 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 578 |
+
"loss": 0.296,
|
| 579 |
+
"step": 890
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 3.6,
|
| 583 |
+
"learning_rate": 1.5555555555555555e-05,
|
| 584 |
+
"loss": 0.3392,
|
| 585 |
+
"step": 900
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 3.64,
|
| 589 |
+
"learning_rate": 1.5111111111111112e-05,
|
| 590 |
+
"loss": 0.2949,
|
| 591 |
+
"step": 910
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 3.68,
|
| 595 |
+
"learning_rate": 1.4666666666666668e-05,
|
| 596 |
+
"loss": 0.3436,
|
| 597 |
+
"step": 920
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 3.72,
|
| 601 |
+
"learning_rate": 1.4222222222222224e-05,
|
| 602 |
+
"loss": 0.2941,
|
| 603 |
+
"step": 930
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 3.76,
|
| 607 |
+
"learning_rate": 1.3777777777777778e-05,
|
| 608 |
+
"loss": 0.3307,
|
| 609 |
+
"step": 940
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 3.8,
|
| 613 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 614 |
+
"loss": 0.3143,
|
| 615 |
+
"step": 950
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 3.84,
|
| 619 |
+
"learning_rate": 1.2888888888888889e-05,
|
| 620 |
+
"loss": 0.2712,
|
| 621 |
+
"step": 960
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 3.88,
|
| 625 |
+
"learning_rate": 1.2444444444444445e-05,
|
| 626 |
+
"loss": 0.2731,
|
| 627 |
+
"step": 970
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 3.92,
|
| 631 |
+
"learning_rate": 1.2e-05,
|
| 632 |
+
"loss": 0.3389,
|
| 633 |
+
"step": 980
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 3.96,
|
| 637 |
+
"learning_rate": 1.1555555555555556e-05,
|
| 638 |
+
"loss": 0.3186,
|
| 639 |
+
"step": 990
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 4.0,
|
| 643 |
+
"learning_rate": 1.1111111111111112e-05,
|
| 644 |
+
"loss": 0.3044,
|
| 645 |
+
"step": 1000
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 4.0,
|
| 649 |
+
"eval_accuracy": 0.935967983991996,
|
| 650 |
+
"eval_f1": 0.9361947038683628,
|
| 651 |
+
"eval_loss": 0.19686730206012726,
|
| 652 |
+
"eval_precision": 0.9378823267571136,
|
| 653 |
+
"eval_recall": 0.9357103464241803,
|
| 654 |
+
"eval_runtime": 40.3278,
|
| 655 |
+
"eval_samples_per_second": 49.569,
|
| 656 |
+
"eval_steps_per_second": 3.1,
|
| 657 |
+
"step": 1000
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 4.04,
|
| 661 |
+
"learning_rate": 1.0666666666666667e-05,
|
| 662 |
+
"loss": 0.3045,
|
| 663 |
+
"step": 1010
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 4.08,
|
| 667 |
+
"learning_rate": 1.0222222222222223e-05,
|
| 668 |
+
"loss": 0.2946,
|
| 669 |
+
"step": 1020
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 4.12,
|
| 673 |
+
"learning_rate": 9.777777777777779e-06,
|
| 674 |
+
"loss": 0.2414,
|
| 675 |
+
"step": 1030
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 4.16,
|
| 679 |
+
"learning_rate": 9.333333333333334e-06,
|
| 680 |
+
"loss": 0.2243,
|
| 681 |
+
"step": 1040
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 4.2,
|
| 685 |
+
"learning_rate": 8.88888888888889e-06,
|
| 686 |
+
"loss": 0.314,
|
| 687 |
+
"step": 1050
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 4.24,
|
| 691 |
+
"learning_rate": 8.444444444444446e-06,
|
| 692 |
+
"loss": 0.2857,
|
| 693 |
+
"step": 1060
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 4.28,
|
| 697 |
+
"learning_rate": 8.000000000000001e-06,
|
| 698 |
+
"loss": 0.3168,
|
| 699 |
+
"step": 1070
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 4.32,
|
| 703 |
+
"learning_rate": 7.555555555555556e-06,
|
| 704 |
+
"loss": 0.3076,
|
| 705 |
+
"step": 1080
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 4.36,
|
| 709 |
+
"learning_rate": 7.111111111111112e-06,
|
| 710 |
+
"loss": 0.2735,
|
| 711 |
+
"step": 1090
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 4.4,
|
| 715 |
+
"learning_rate": 6.666666666666667e-06,
|
| 716 |
+
"loss": 0.2528,
|
| 717 |
+
"step": 1100
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 4.44,
|
| 721 |
+
"learning_rate": 6.222222222222222e-06,
|
| 722 |
+
"loss": 0.2471,
|
| 723 |
+
"step": 1110
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 4.48,
|
| 727 |
+
"learning_rate": 5.777777777777778e-06,
|
| 728 |
+
"loss": 0.2444,
|
| 729 |
+
"step": 1120
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 4.52,
|
| 733 |
+
"learning_rate": 5.333333333333334e-06,
|
| 734 |
+
"loss": 0.2529,
|
| 735 |
+
"step": 1130
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 4.56,
|
| 739 |
+
"learning_rate": 4.888888888888889e-06,
|
| 740 |
+
"loss": 0.3072,
|
| 741 |
+
"step": 1140
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 4.6,
|
| 745 |
+
"learning_rate": 4.444444444444445e-06,
|
| 746 |
+
"loss": 0.3376,
|
| 747 |
+
"step": 1150
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 4.64,
|
| 751 |
+
"learning_rate": 4.000000000000001e-06,
|
| 752 |
+
"loss": 0.2794,
|
| 753 |
+
"step": 1160
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 4.68,
|
| 757 |
+
"learning_rate": 3.555555555555556e-06,
|
| 758 |
+
"loss": 0.2291,
|
| 759 |
+
"step": 1170
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 4.72,
|
| 763 |
+
"learning_rate": 3.111111111111111e-06,
|
| 764 |
+
"loss": 0.2254,
|
| 765 |
+
"step": 1180
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 4.76,
|
| 769 |
+
"learning_rate": 2.666666666666667e-06,
|
| 770 |
+
"loss": 0.2416,
|
| 771 |
+
"step": 1190
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 4.8,
|
| 775 |
+
"learning_rate": 2.2222222222222225e-06,
|
| 776 |
+
"loss": 0.257,
|
| 777 |
+
"step": 1200
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 4.84,
|
| 781 |
+
"learning_rate": 1.777777777777778e-06,
|
| 782 |
+
"loss": 0.2931,
|
| 783 |
+
"step": 1210
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 4.88,
|
| 787 |
+
"learning_rate": 1.3333333333333334e-06,
|
| 788 |
+
"loss": 0.2698,
|
| 789 |
+
"step": 1220
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 4.92,
|
| 793 |
+
"learning_rate": 8.88888888888889e-07,
|
| 794 |
+
"loss": 0.2654,
|
| 795 |
+
"step": 1230
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 4.96,
|
| 799 |
+
"learning_rate": 4.444444444444445e-07,
|
| 800 |
+
"loss": 0.2815,
|
| 801 |
+
"step": 1240
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 5.0,
|
| 805 |
+
"learning_rate": 0.0,
|
| 806 |
+
"loss": 0.2596,
|
| 807 |
+
"step": 1250
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 5.0,
|
| 811 |
+
"eval_accuracy": 0.9394697348674337,
|
| 812 |
+
"eval_f1": 0.939741803575447,
|
| 813 |
+
"eval_loss": 0.18301530182361603,
|
| 814 |
+
"eval_precision": 0.9403530279488119,
|
| 815 |
+
"eval_recall": 0.9396844259408355,
|
| 816 |
+
"eval_runtime": 40.2733,
|
| 817 |
+
"eval_samples_per_second": 49.636,
|
| 818 |
+
"eval_steps_per_second": 3.104,
|
| 819 |
+
"step": 1250
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 5.0,
|
| 823 |
+
"step": 1250,
|
| 824 |
+
"total_flos": 5.918123737786614e+18,
|
| 825 |
+
"train_loss": 0.603860605430603,
|
| 826 |
+
"train_runtime": 3719.6599,
|
| 827 |
+
"train_samples_per_second": 21.499,
|
| 828 |
+
"train_steps_per_second": 0.336
|
| 829 |
+
}
|
| 830 |
+
],
|
| 831 |
+
"logging_steps": 10,
|
| 832 |
+
"max_steps": 1250,
|
| 833 |
+
"num_train_epochs": 5,
|
| 834 |
+
"save_steps": 500,
|
| 835 |
+
"total_flos": 5.918123737786614e+18,
|
| 836 |
+
"trial_name": null,
|
| 837 |
+
"trial_params": null
|
| 838 |
+
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4155
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:33a90eff97b0afb69224af41221d1593b06c29db44b147d64560b1ee72876918
|
| 3 |
size 4155
|