Commit
•
54d11d6
1
Parent(s):
ff97657
End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_accuracy": 1.0,
|
| 4 |
+
"eval_loss": 0.007612039800733328,
|
| 5 |
+
"eval_runtime": 11.0324,
|
| 6 |
+
"eval_samples_per_second": 79.765,
|
| 7 |
+
"eval_steps_per_second": 4.985,
|
| 8 |
+
"total_flos": 2.4304114274567455e+19,
|
| 9 |
+
"train_loss": 0.19108782262513133,
|
| 10 |
+
"train_runtime": 4786.2205,
|
| 11 |
+
"train_samples_per_second": 22.051,
|
| 12 |
+
"train_steps_per_second": 0.345
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_accuracy": 1.0,
|
| 4 |
+
"eval_loss": 0.007612039800733328,
|
| 5 |
+
"eval_runtime": 11.0324,
|
| 6 |
+
"eval_samples_per_second": 79.765,
|
| 7 |
+
"eval_steps_per_second": 4.985
|
| 8 |
+
}
|
runs/Jul04_20-03-48_2df985b450cf/events.out.tfevents.1688506871.2df985b450cf.27022.3
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dfdedd241bc0b6659f02f6cb33a3d97ab1b5f4c35669b5e72c120f85b058edc0
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"total_flos": 2.4304114274567455e+19,
|
| 4 |
+
"train_loss": 0.19108782262513133,
|
| 5 |
+
"train_runtime": 4786.2205,
|
| 6 |
+
"train_samples_per_second": 22.051,
|
| 7 |
+
"train_steps_per_second": 0.345
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,787 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.0,
|
| 3 |
+
"best_model_checkpoint": "swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-eurosat-50/checkpoint-495",
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"global_step": 1650,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.36,
|
| 12 |
+
"learning_rate": 7.228915662650602e-06,
|
| 13 |
+
"loss": 1.9251,
|
| 14 |
+
"step": 20
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.73,
|
| 18 |
+
"learning_rate": 1.4457831325301205e-05,
|
| 19 |
+
"loss": 1.5952,
|
| 20 |
+
"step": 40
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 1.0,
|
| 24 |
+
"eval_accuracy": 0.6693181818181818,
|
| 25 |
+
"eval_loss": 0.848971426486969,
|
| 26 |
+
"eval_runtime": 10.9926,
|
| 27 |
+
"eval_samples_per_second": 80.054,
|
| 28 |
+
"eval_steps_per_second": 5.003,
|
| 29 |
+
"step": 55
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"epoch": 1.09,
|
| 33 |
+
"learning_rate": 2.168674698795181e-05,
|
| 34 |
+
"loss": 1.1596,
|
| 35 |
+
"step": 60
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 1.45,
|
| 39 |
+
"learning_rate": 2.891566265060241e-05,
|
| 40 |
+
"loss": 0.8796,
|
| 41 |
+
"step": 80
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 1.82,
|
| 45 |
+
"learning_rate": 2.967453733248245e-05,
|
| 46 |
+
"loss": 0.7582,
|
| 47 |
+
"step": 100
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 2.0,
|
| 51 |
+
"eval_accuracy": 0.8386363636363636,
|
| 52 |
+
"eval_loss": 0.45608994364738464,
|
| 53 |
+
"eval_runtime": 11.0458,
|
| 54 |
+
"eval_samples_per_second": 79.668,
|
| 55 |
+
"eval_steps_per_second": 4.979,
|
| 56 |
+
"step": 110
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 2.18,
|
| 60 |
+
"learning_rate": 2.929164007657945e-05,
|
| 61 |
+
"loss": 0.5899,
|
| 62 |
+
"step": 120
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.55,
|
| 66 |
+
"learning_rate": 2.8908742820676455e-05,
|
| 67 |
+
"loss": 0.4953,
|
| 68 |
+
"step": 140
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 2.91,
|
| 72 |
+
"learning_rate": 2.852584556477345e-05,
|
| 73 |
+
"loss": 0.4359,
|
| 74 |
+
"step": 160
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 3.0,
|
| 78 |
+
"eval_accuracy": 0.9227272727272727,
|
| 79 |
+
"eval_loss": 0.24076080322265625,
|
| 80 |
+
"eval_runtime": 10.9212,
|
| 81 |
+
"eval_samples_per_second": 80.577,
|
| 82 |
+
"eval_steps_per_second": 5.036,
|
| 83 |
+
"step": 165
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 3.27,
|
| 87 |
+
"learning_rate": 2.8142948308870455e-05,
|
| 88 |
+
"loss": 0.4,
|
| 89 |
+
"step": 180
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 3.64,
|
| 93 |
+
"learning_rate": 2.7760051052967455e-05,
|
| 94 |
+
"loss": 0.361,
|
| 95 |
+
"step": 200
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 4.0,
|
| 99 |
+
"learning_rate": 2.7377153797064455e-05,
|
| 100 |
+
"loss": 0.318,
|
| 101 |
+
"step": 220
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 4.0,
|
| 105 |
+
"eval_accuracy": 0.9568181818181818,
|
| 106 |
+
"eval_loss": 0.12942154705524445,
|
| 107 |
+
"eval_runtime": 11.0819,
|
| 108 |
+
"eval_samples_per_second": 79.409,
|
| 109 |
+
"eval_steps_per_second": 4.963,
|
| 110 |
+
"step": 220
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 4.36,
|
| 114 |
+
"learning_rate": 2.6994256541161455e-05,
|
| 115 |
+
"loss": 0.2481,
|
| 116 |
+
"step": 240
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 4.73,
|
| 120 |
+
"learning_rate": 2.6611359285258455e-05,
|
| 121 |
+
"loss": 0.2414,
|
| 122 |
+
"step": 260
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 5.0,
|
| 126 |
+
"eval_accuracy": 0.990909090909091,
|
| 127 |
+
"eval_loss": 0.03464468568563461,
|
| 128 |
+
"eval_runtime": 11.2055,
|
| 129 |
+
"eval_samples_per_second": 78.533,
|
| 130 |
+
"eval_steps_per_second": 4.908,
|
| 131 |
+
"step": 275
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 5.09,
|
| 135 |
+
"learning_rate": 2.622846202935546e-05,
|
| 136 |
+
"loss": 0.2313,
|
| 137 |
+
"step": 280
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 5.45,
|
| 141 |
+
"learning_rate": 2.5845564773452456e-05,
|
| 142 |
+
"loss": 0.2074,
|
| 143 |
+
"step": 300
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 5.82,
|
| 147 |
+
"learning_rate": 2.546266751754946e-05,
|
| 148 |
+
"loss": 0.1888,
|
| 149 |
+
"step": 320
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 6.0,
|
| 153 |
+
"eval_accuracy": 0.9863636363636363,
|
| 154 |
+
"eval_loss": 0.04186202958226204,
|
| 155 |
+
"eval_runtime": 11.0353,
|
| 156 |
+
"eval_samples_per_second": 79.744,
|
| 157 |
+
"eval_steps_per_second": 4.984,
|
| 158 |
+
"step": 330
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 6.18,
|
| 162 |
+
"learning_rate": 2.507977026164646e-05,
|
| 163 |
+
"loss": 0.2057,
|
| 164 |
+
"step": 340
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 6.55,
|
| 168 |
+
"learning_rate": 2.469687300574346e-05,
|
| 169 |
+
"loss": 0.1693,
|
| 170 |
+
"step": 360
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 6.91,
|
| 174 |
+
"learning_rate": 2.431397574984046e-05,
|
| 175 |
+
"loss": 0.1717,
|
| 176 |
+
"step": 380
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 7.0,
|
| 180 |
+
"eval_accuracy": 0.9943181818181818,
|
| 181 |
+
"eval_loss": 0.023813609033823013,
|
| 182 |
+
"eval_runtime": 11.0829,
|
| 183 |
+
"eval_samples_per_second": 79.402,
|
| 184 |
+
"eval_steps_per_second": 4.963,
|
| 185 |
+
"step": 385
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 7.27,
|
| 189 |
+
"learning_rate": 2.393107849393746e-05,
|
| 190 |
+
"loss": 0.1614,
|
| 191 |
+
"step": 400
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 7.64,
|
| 195 |
+
"learning_rate": 2.3548181238034463e-05,
|
| 196 |
+
"loss": 0.1525,
|
| 197 |
+
"step": 420
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 8.0,
|
| 201 |
+
"learning_rate": 2.316528398213146e-05,
|
| 202 |
+
"loss": 0.1785,
|
| 203 |
+
"step": 440
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 8.0,
|
| 207 |
+
"eval_accuracy": 0.9943181818181818,
|
| 208 |
+
"eval_loss": 0.023027343675494194,
|
| 209 |
+
"eval_runtime": 11.2031,
|
| 210 |
+
"eval_samples_per_second": 78.55,
|
| 211 |
+
"eval_steps_per_second": 4.909,
|
| 212 |
+
"step": 440
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 8.36,
|
| 216 |
+
"learning_rate": 2.2782386726228464e-05,
|
| 217 |
+
"loss": 0.1256,
|
| 218 |
+
"step": 460
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 8.73,
|
| 222 |
+
"learning_rate": 2.2399489470325464e-05,
|
| 223 |
+
"loss": 0.1654,
|
| 224 |
+
"step": 480
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 9.0,
|
| 228 |
+
"eval_accuracy": 1.0,
|
| 229 |
+
"eval_loss": 0.007612039800733328,
|
| 230 |
+
"eval_runtime": 11.1318,
|
| 231 |
+
"eval_samples_per_second": 79.053,
|
| 232 |
+
"eval_steps_per_second": 4.941,
|
| 233 |
+
"step": 495
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 9.09,
|
| 237 |
+
"learning_rate": 2.2016592214422464e-05,
|
| 238 |
+
"loss": 0.1437,
|
| 239 |
+
"step": 500
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 9.45,
|
| 243 |
+
"learning_rate": 2.1633694958519464e-05,
|
| 244 |
+
"loss": 0.1363,
|
| 245 |
+
"step": 520
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 9.82,
|
| 249 |
+
"learning_rate": 2.1250797702616464e-05,
|
| 250 |
+
"loss": 0.1322,
|
| 251 |
+
"step": 540
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 10.0,
|
| 255 |
+
"eval_accuracy": 1.0,
|
| 256 |
+
"eval_loss": 0.004579578526318073,
|
| 257 |
+
"eval_runtime": 11.0656,
|
| 258 |
+
"eval_samples_per_second": 79.526,
|
| 259 |
+
"eval_steps_per_second": 4.97,
|
| 260 |
+
"step": 550
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 10.18,
|
| 264 |
+
"learning_rate": 2.0867900446713468e-05,
|
| 265 |
+
"loss": 0.1242,
|
| 266 |
+
"step": 560
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 10.55,
|
| 270 |
+
"learning_rate": 2.0485003190810464e-05,
|
| 271 |
+
"loss": 0.1121,
|
| 272 |
+
"step": 580
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 10.91,
|
| 276 |
+
"learning_rate": 2.0102105934907468e-05,
|
| 277 |
+
"loss": 0.1123,
|
| 278 |
+
"step": 600
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 11.0,
|
| 282 |
+
"eval_accuracy": 1.0,
|
| 283 |
+
"eval_loss": 0.003508554305881262,
|
| 284 |
+
"eval_runtime": 10.9833,
|
| 285 |
+
"eval_samples_per_second": 80.122,
|
| 286 |
+
"eval_steps_per_second": 5.008,
|
| 287 |
+
"step": 605
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 11.27,
|
| 291 |
+
"learning_rate": 1.9719208679004468e-05,
|
| 292 |
+
"loss": 0.1192,
|
| 293 |
+
"step": 620
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 11.64,
|
| 297 |
+
"learning_rate": 1.9336311423101468e-05,
|
| 298 |
+
"loss": 0.1179,
|
| 299 |
+
"step": 640
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 12.0,
|
| 303 |
+
"learning_rate": 1.8953414167198468e-05,
|
| 304 |
+
"loss": 0.0953,
|
| 305 |
+
"step": 660
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 12.0,
|
| 309 |
+
"eval_accuracy": 1.0,
|
| 310 |
+
"eval_loss": 0.002522848779335618,
|
| 311 |
+
"eval_runtime": 11.0556,
|
| 312 |
+
"eval_samples_per_second": 79.598,
|
| 313 |
+
"eval_steps_per_second": 4.975,
|
| 314 |
+
"step": 660
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 12.36,
|
| 318 |
+
"learning_rate": 1.8570516911295472e-05,
|
| 319 |
+
"loss": 0.1302,
|
| 320 |
+
"step": 680
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 12.73,
|
| 324 |
+
"learning_rate": 1.818761965539247e-05,
|
| 325 |
+
"loss": 0.0864,
|
| 326 |
+
"step": 700
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 13.0,
|
| 330 |
+
"eval_accuracy": 1.0,
|
| 331 |
+
"eval_loss": 0.0033287114929407835,
|
| 332 |
+
"eval_runtime": 11.1101,
|
| 333 |
+
"eval_samples_per_second": 79.207,
|
| 334 |
+
"eval_steps_per_second": 4.95,
|
| 335 |
+
"step": 715
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 13.09,
|
| 339 |
+
"learning_rate": 1.780472239948947e-05,
|
| 340 |
+
"loss": 0.1334,
|
| 341 |
+
"step": 720
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 13.45,
|
| 345 |
+
"learning_rate": 1.7421825143586472e-05,
|
| 346 |
+
"loss": 0.0769,
|
| 347 |
+
"step": 740
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 13.82,
|
| 351 |
+
"learning_rate": 1.7038927887683472e-05,
|
| 352 |
+
"loss": 0.0984,
|
| 353 |
+
"step": 760
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 14.0,
|
| 357 |
+
"eval_accuracy": 0.9988636363636364,
|
| 358 |
+
"eval_loss": 0.003271339228376746,
|
| 359 |
+
"eval_runtime": 11.0383,
|
| 360 |
+
"eval_samples_per_second": 79.723,
|
| 361 |
+
"eval_steps_per_second": 4.983,
|
| 362 |
+
"step": 770
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 14.18,
|
| 366 |
+
"learning_rate": 1.6656030631780472e-05,
|
| 367 |
+
"loss": 0.0932,
|
| 368 |
+
"step": 780
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 14.55,
|
| 372 |
+
"learning_rate": 1.6273133375877472e-05,
|
| 373 |
+
"loss": 0.079,
|
| 374 |
+
"step": 800
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 14.91,
|
| 378 |
+
"learning_rate": 1.5890236119974476e-05,
|
| 379 |
+
"loss": 0.0952,
|
| 380 |
+
"step": 820
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 15.0,
|
| 384 |
+
"eval_accuracy": 1.0,
|
| 385 |
+
"eval_loss": 0.001456564525142312,
|
| 386 |
+
"eval_runtime": 10.9322,
|
| 387 |
+
"eval_samples_per_second": 80.496,
|
| 388 |
+
"eval_steps_per_second": 5.031,
|
| 389 |
+
"step": 825
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 15.27,
|
| 393 |
+
"learning_rate": 1.5507338864071473e-05,
|
| 394 |
+
"loss": 0.087,
|
| 395 |
+
"step": 840
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 15.64,
|
| 399 |
+
"learning_rate": 1.5124441608168476e-05,
|
| 400 |
+
"loss": 0.0879,
|
| 401 |
+
"step": 860
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 16.0,
|
| 405 |
+
"learning_rate": 1.4741544352265476e-05,
|
| 406 |
+
"loss": 0.0678,
|
| 407 |
+
"step": 880
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 16.0,
|
| 411 |
+
"eval_accuracy": 1.0,
|
| 412 |
+
"eval_loss": 0.0022302898578345776,
|
| 413 |
+
"eval_runtime": 11.0758,
|
| 414 |
+
"eval_samples_per_second": 79.453,
|
| 415 |
+
"eval_steps_per_second": 4.966,
|
| 416 |
+
"step": 880
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 16.36,
|
| 420 |
+
"learning_rate": 1.4358647096362477e-05,
|
| 421 |
+
"loss": 0.0687,
|
| 422 |
+
"step": 900
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 16.73,
|
| 426 |
+
"learning_rate": 1.3975749840459477e-05,
|
| 427 |
+
"loss": 0.0592,
|
| 428 |
+
"step": 920
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 17.0,
|
| 432 |
+
"eval_accuracy": 1.0,
|
| 433 |
+
"eval_loss": 0.0012722605606541038,
|
| 434 |
+
"eval_runtime": 10.904,
|
| 435 |
+
"eval_samples_per_second": 80.704,
|
| 436 |
+
"eval_steps_per_second": 5.044,
|
| 437 |
+
"step": 935
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 17.09,
|
| 441 |
+
"learning_rate": 1.3592852584556478e-05,
|
| 442 |
+
"loss": 0.0701,
|
| 443 |
+
"step": 940
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 17.45,
|
| 447 |
+
"learning_rate": 1.3209955328653479e-05,
|
| 448 |
+
"loss": 0.0952,
|
| 449 |
+
"step": 960
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 17.82,
|
| 453 |
+
"learning_rate": 1.2827058072750479e-05,
|
| 454 |
+
"loss": 0.0729,
|
| 455 |
+
"step": 980
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 18.0,
|
| 459 |
+
"eval_accuracy": 0.9988636363636364,
|
| 460 |
+
"eval_loss": 0.00370142818428576,
|
| 461 |
+
"eval_runtime": 11.1436,
|
| 462 |
+
"eval_samples_per_second": 78.969,
|
| 463 |
+
"eval_steps_per_second": 4.936,
|
| 464 |
+
"step": 990
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 18.18,
|
| 468 |
+
"learning_rate": 1.2444160816847479e-05,
|
| 469 |
+
"loss": 0.0841,
|
| 470 |
+
"step": 1000
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 18.55,
|
| 474 |
+
"learning_rate": 1.206126356094448e-05,
|
| 475 |
+
"loss": 0.0837,
|
| 476 |
+
"step": 1020
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 18.91,
|
| 480 |
+
"learning_rate": 1.167836630504148e-05,
|
| 481 |
+
"loss": 0.0672,
|
| 482 |
+
"step": 1040
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 19.0,
|
| 486 |
+
"eval_accuracy": 0.9988636363636364,
|
| 487 |
+
"eval_loss": 0.004141129087656736,
|
| 488 |
+
"eval_runtime": 11.0993,
|
| 489 |
+
"eval_samples_per_second": 79.284,
|
| 490 |
+
"eval_steps_per_second": 4.955,
|
| 491 |
+
"step": 1045
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 19.27,
|
| 495 |
+
"learning_rate": 1.1295469049138481e-05,
|
| 496 |
+
"loss": 0.0572,
|
| 497 |
+
"step": 1060
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 19.64,
|
| 501 |
+
"learning_rate": 1.0912571793235483e-05,
|
| 502 |
+
"loss": 0.0577,
|
| 503 |
+
"step": 1080
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 20.0,
|
| 507 |
+
"learning_rate": 1.0529674537332483e-05,
|
| 508 |
+
"loss": 0.0615,
|
| 509 |
+
"step": 1100
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 20.0,
|
| 513 |
+
"eval_accuracy": 1.0,
|
| 514 |
+
"eval_loss": 0.001032730215229094,
|
| 515 |
+
"eval_runtime": 11.0623,
|
| 516 |
+
"eval_samples_per_second": 79.55,
|
| 517 |
+
"eval_steps_per_second": 4.972,
|
| 518 |
+
"step": 1100
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 20.36,
|
| 522 |
+
"learning_rate": 1.0146777281429485e-05,
|
| 523 |
+
"loss": 0.0546,
|
| 524 |
+
"step": 1120
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 20.73,
|
| 528 |
+
"learning_rate": 9.763880025526483e-06,
|
| 529 |
+
"loss": 0.058,
|
| 530 |
+
"step": 1140
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 21.0,
|
| 534 |
+
"eval_accuracy": 1.0,
|
| 535 |
+
"eval_loss": 0.0008914543432183564,
|
| 536 |
+
"eval_runtime": 10.9202,
|
| 537 |
+
"eval_samples_per_second": 80.585,
|
| 538 |
+
"eval_steps_per_second": 5.037,
|
| 539 |
+
"step": 1155
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 21.09,
|
| 543 |
+
"learning_rate": 9.380982769623483e-06,
|
| 544 |
+
"loss": 0.0497,
|
| 545 |
+
"step": 1160
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 21.45,
|
| 549 |
+
"learning_rate": 8.998085513720485e-06,
|
| 550 |
+
"loss": 0.0538,
|
| 551 |
+
"step": 1180
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 21.82,
|
| 555 |
+
"learning_rate": 8.615188257817485e-06,
|
| 556 |
+
"loss": 0.0571,
|
| 557 |
+
"step": 1200
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 22.0,
|
| 561 |
+
"eval_accuracy": 0.9988636363636364,
|
| 562 |
+
"eval_loss": 0.002123360289260745,
|
| 563 |
+
"eval_runtime": 10.9798,
|
| 564 |
+
"eval_samples_per_second": 80.147,
|
| 565 |
+
"eval_steps_per_second": 5.009,
|
| 566 |
+
"step": 1210
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 22.18,
|
| 570 |
+
"learning_rate": 8.232291001914487e-06,
|
| 571 |
+
"loss": 0.0636,
|
| 572 |
+
"step": 1220
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 22.55,
|
| 576 |
+
"learning_rate": 7.849393746011487e-06,
|
| 577 |
+
"loss": 0.0365,
|
| 578 |
+
"step": 1240
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 22.91,
|
| 582 |
+
"learning_rate": 7.466496490108488e-06,
|
| 583 |
+
"loss": 0.0755,
|
| 584 |
+
"step": 1260
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 23.0,
|
| 588 |
+
"eval_accuracy": 0.9988636363636364,
|
| 589 |
+
"eval_loss": 0.002230195328593254,
|
| 590 |
+
"eval_runtime": 11.0651,
|
| 591 |
+
"eval_samples_per_second": 79.529,
|
| 592 |
+
"eval_steps_per_second": 4.971,
|
| 593 |
+
"step": 1265
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 23.27,
|
| 597 |
+
"learning_rate": 7.083599234205488e-06,
|
| 598 |
+
"loss": 0.0763,
|
| 599 |
+
"step": 1280
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 23.64,
|
| 603 |
+
"learning_rate": 6.700701978302489e-06,
|
| 604 |
+
"loss": 0.0547,
|
| 605 |
+
"step": 1300
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 24.0,
|
| 609 |
+
"learning_rate": 6.317804722399489e-06,
|
| 610 |
+
"loss": 0.0688,
|
| 611 |
+
"step": 1320
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 24.0,
|
| 615 |
+
"eval_accuracy": 0.9988636363636364,
|
| 616 |
+
"eval_loss": 0.0025376665871590376,
|
| 617 |
+
"eval_runtime": 10.9568,
|
| 618 |
+
"eval_samples_per_second": 80.315,
|
| 619 |
+
"eval_steps_per_second": 5.02,
|
| 620 |
+
"step": 1320
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 24.36,
|
| 624 |
+
"learning_rate": 5.93490746649649e-06,
|
| 625 |
+
"loss": 0.0726,
|
| 626 |
+
"step": 1340
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 24.73,
|
| 630 |
+
"learning_rate": 5.5520102105934905e-06,
|
| 631 |
+
"loss": 0.0417,
|
| 632 |
+
"step": 1360
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 25.0,
|
| 636 |
+
"eval_accuracy": 1.0,
|
| 637 |
+
"eval_loss": 0.00029166368767619133,
|
| 638 |
+
"eval_runtime": 11.0108,
|
| 639 |
+
"eval_samples_per_second": 79.922,
|
| 640 |
+
"eval_steps_per_second": 4.995,
|
| 641 |
+
"step": 1375
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 25.09,
|
| 645 |
+
"learning_rate": 5.1691129546904915e-06,
|
| 646 |
+
"loss": 0.0472,
|
| 647 |
+
"step": 1380
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 25.45,
|
| 651 |
+
"learning_rate": 4.7862156987874925e-06,
|
| 652 |
+
"loss": 0.0565,
|
| 653 |
+
"step": 1400
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 25.82,
|
| 657 |
+
"learning_rate": 4.4033184428844934e-06,
|
| 658 |
+
"loss": 0.0589,
|
| 659 |
+
"step": 1420
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 26.0,
|
| 663 |
+
"eval_accuracy": 1.0,
|
| 664 |
+
"eval_loss": 0.0006550709367729723,
|
| 665 |
+
"eval_runtime": 10.9639,
|
| 666 |
+
"eval_samples_per_second": 80.264,
|
| 667 |
+
"eval_steps_per_second": 5.016,
|
| 668 |
+
"step": 1430
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 26.18,
|
| 672 |
+
"learning_rate": 4.020421186981493e-06,
|
| 673 |
+
"loss": 0.0452,
|
| 674 |
+
"step": 1440
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 26.55,
|
| 678 |
+
"learning_rate": 3.6375239310784937e-06,
|
| 679 |
+
"loss": 0.0587,
|
| 680 |
+
"step": 1460
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 26.91,
|
| 684 |
+
"learning_rate": 3.2546266751754947e-06,
|
| 685 |
+
"loss": 0.0563,
|
| 686 |
+
"step": 1480
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 27.0,
|
| 690 |
+
"eval_accuracy": 1.0,
|
| 691 |
+
"eval_loss": 0.0006738207302987576,
|
| 692 |
+
"eval_runtime": 10.975,
|
| 693 |
+
"eval_samples_per_second": 80.182,
|
| 694 |
+
"eval_steps_per_second": 5.011,
|
| 695 |
+
"step": 1485
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 27.27,
|
| 699 |
+
"learning_rate": 2.8717294192724956e-06,
|
| 700 |
+
"loss": 0.0441,
|
| 701 |
+
"step": 1500
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 27.64,
|
| 705 |
+
"learning_rate": 2.4888321633694958e-06,
|
| 706 |
+
"loss": 0.0401,
|
| 707 |
+
"step": 1520
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 28.0,
|
| 711 |
+
"learning_rate": 2.1059349074664967e-06,
|
| 712 |
+
"loss": 0.0603,
|
| 713 |
+
"step": 1540
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 28.0,
|
| 717 |
+
"eval_accuracy": 0.9988636363636364,
|
| 718 |
+
"eval_loss": 0.0009842341532930732,
|
| 719 |
+
"eval_runtime": 10.951,
|
| 720 |
+
"eval_samples_per_second": 80.358,
|
| 721 |
+
"eval_steps_per_second": 5.022,
|
| 722 |
+
"step": 1540
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 28.36,
|
| 726 |
+
"learning_rate": 1.723037651563497e-06,
|
| 727 |
+
"loss": 0.0417,
|
| 728 |
+
"step": 1560
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 28.73,
|
| 732 |
+
"learning_rate": 1.3401403956604976e-06,
|
| 733 |
+
"loss": 0.0469,
|
| 734 |
+
"step": 1580
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 29.0,
|
| 738 |
+
"eval_accuracy": 1.0,
|
| 739 |
+
"eval_loss": 0.0004589582094922662,
|
| 740 |
+
"eval_runtime": 10.9725,
|
| 741 |
+
"eval_samples_per_second": 80.2,
|
| 742 |
+
"eval_steps_per_second": 5.013,
|
| 743 |
+
"step": 1595
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 29.09,
|
| 747 |
+
"learning_rate": 9.572431397574984e-07,
|
| 748 |
+
"loss": 0.0518,
|
| 749 |
+
"step": 1600
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 29.45,
|
| 753 |
+
"learning_rate": 5.743458838544991e-07,
|
| 754 |
+
"loss": 0.0446,
|
| 755 |
+
"step": 1620
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 29.82,
|
| 759 |
+
"learning_rate": 1.914486279514997e-07,
|
| 760 |
+
"loss": 0.0525,
|
| 761 |
+
"step": 1640
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 30.0,
|
| 765 |
+
"eval_accuracy": 1.0,
|
| 766 |
+
"eval_loss": 0.00037947672535665333,
|
| 767 |
+
"eval_runtime": 10.9402,
|
| 768 |
+
"eval_samples_per_second": 80.438,
|
| 769 |
+
"eval_steps_per_second": 5.027,
|
| 770 |
+
"step": 1650
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 30.0,
|
| 774 |
+
"step": 1650,
|
| 775 |
+
"total_flos": 2.4304114274567455e+19,
|
| 776 |
+
"train_loss": 0.19108782262513133,
|
| 777 |
+
"train_runtime": 4786.2205,
|
| 778 |
+
"train_samples_per_second": 22.051,
|
| 779 |
+
"train_steps_per_second": 0.345
|
| 780 |
+
}
|
| 781 |
+
],
|
| 782 |
+
"max_steps": 1650,
|
| 783 |
+
"num_train_epochs": 30,
|
| 784 |
+
"total_flos": 2.4304114274567455e+19,
|
| 785 |
+
"trial_name": null,
|
| 786 |
+
"trial_params": null
|
| 787 |
+
}
|