End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.99,
|
| 3 |
+
"eval_accuracy": 0.969,
|
| 4 |
+
"eval_loss": 0.09590400755405426,
|
| 5 |
+
"eval_runtime": 37.5657,
|
| 6 |
+
"eval_samples_per_second": 133.1,
|
| 7 |
+
"eval_steps_per_second": 4.179,
|
| 8 |
+
"total_flos": 3.3497451642252165e+18,
|
| 9 |
+
"train_loss": 0.5486761254009924,
|
| 10 |
+
"train_runtime": 2094.2938,
|
| 11 |
+
"train_samples_per_second": 64.461,
|
| 12 |
+
"train_steps_per_second": 0.503
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.99,
|
| 3 |
+
"eval_accuracy": 0.969,
|
| 4 |
+
"eval_loss": 0.09590400755405426,
|
| 5 |
+
"eval_runtime": 37.5657,
|
| 6 |
+
"eval_samples_per_second": 133.1,
|
| 7 |
+
"eval_steps_per_second": 4.179
|
| 8 |
+
}
|
runs/Apr04_11-34-14_4533f753bd30/events.out.tfevents.1712234888.4533f753bd30.10253.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fdfc34e86c5765fada6d863949ebe94625b51709830f68427c67c7c73da630bd
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.99,
|
| 3 |
+
"total_flos": 3.3497451642252165e+18,
|
| 4 |
+
"train_loss": 0.5486761254009924,
|
| 5 |
+
"train_runtime": 2094.2938,
|
| 6 |
+
"train_samples_per_second": 64.461,
|
| 7 |
+
"train_steps_per_second": 0.503
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,792 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.969,
|
| 3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-1053",
|
| 4 |
+
"epoch": 2.9936034115138592,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1053,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.03,
|
| 13 |
+
"grad_norm": 5.63645601272583,
|
| 14 |
+
"learning_rate": 4.716981132075472e-06,
|
| 15 |
+
"loss": 2.3306,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.06,
|
| 20 |
+
"grad_norm": 6.468899726867676,
|
| 21 |
+
"learning_rate": 9.433962264150944e-06,
|
| 22 |
+
"loss": 2.2678,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.09,
|
| 27 |
+
"grad_norm": 6.23107385635376,
|
| 28 |
+
"learning_rate": 1.4150943396226415e-05,
|
| 29 |
+
"loss": 2.1477,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.11,
|
| 34 |
+
"grad_norm": 6.676746368408203,
|
| 35 |
+
"learning_rate": 1.8867924528301888e-05,
|
| 36 |
+
"loss": 1.9591,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.14,
|
| 41 |
+
"grad_norm": 10.20413875579834,
|
| 42 |
+
"learning_rate": 2.358490566037736e-05,
|
| 43 |
+
"loss": 1.6696,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.17,
|
| 48 |
+
"grad_norm": 12.014700889587402,
|
| 49 |
+
"learning_rate": 2.830188679245283e-05,
|
| 50 |
+
"loss": 1.3329,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.2,
|
| 55 |
+
"grad_norm": 13.840166091918945,
|
| 56 |
+
"learning_rate": 3.30188679245283e-05,
|
| 57 |
+
"loss": 1.1415,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.23,
|
| 62 |
+
"grad_norm": 14.116910934448242,
|
| 63 |
+
"learning_rate": 3.7735849056603776e-05,
|
| 64 |
+
"loss": 1.024,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.26,
|
| 69 |
+
"grad_norm": 10.790963172912598,
|
| 70 |
+
"learning_rate": 4.245283018867925e-05,
|
| 71 |
+
"loss": 0.9195,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.28,
|
| 76 |
+
"grad_norm": 14.884149551391602,
|
| 77 |
+
"learning_rate": 4.716981132075472e-05,
|
| 78 |
+
"loss": 0.8209,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.31,
|
| 83 |
+
"grad_norm": 14.443344116210938,
|
| 84 |
+
"learning_rate": 4.978880675818374e-05,
|
| 85 |
+
"loss": 0.7393,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.34,
|
| 90 |
+
"grad_norm": 15.056041717529297,
|
| 91 |
+
"learning_rate": 4.9260823653643085e-05,
|
| 92 |
+
"loss": 0.7175,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.37,
|
| 97 |
+
"grad_norm": 10.33287525177002,
|
| 98 |
+
"learning_rate": 4.8732840549102435e-05,
|
| 99 |
+
"loss": 0.7329,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.4,
|
| 104 |
+
"grad_norm": 12.791647911071777,
|
| 105 |
+
"learning_rate": 4.820485744456177e-05,
|
| 106 |
+
"loss": 0.7075,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.43,
|
| 111 |
+
"grad_norm": 12.029749870300293,
|
| 112 |
+
"learning_rate": 4.767687434002112e-05,
|
| 113 |
+
"loss": 0.6584,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.45,
|
| 118 |
+
"grad_norm": 11.643570899963379,
|
| 119 |
+
"learning_rate": 4.7148891235480466e-05,
|
| 120 |
+
"loss": 0.6047,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.48,
|
| 125 |
+
"grad_norm": 19.02515983581543,
|
| 126 |
+
"learning_rate": 4.662090813093981e-05,
|
| 127 |
+
"loss": 0.6052,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.51,
|
| 132 |
+
"grad_norm": 10.113385200500488,
|
| 133 |
+
"learning_rate": 4.609292502639916e-05,
|
| 134 |
+
"loss": 0.6043,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.54,
|
| 139 |
+
"grad_norm": 12.620966911315918,
|
| 140 |
+
"learning_rate": 4.55649419218585e-05,
|
| 141 |
+
"loss": 0.5803,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.57,
|
| 146 |
+
"grad_norm": 8.98147201538086,
|
| 147 |
+
"learning_rate": 4.503695881731785e-05,
|
| 148 |
+
"loss": 0.5365,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6,
|
| 153 |
+
"grad_norm": 11.942453384399414,
|
| 154 |
+
"learning_rate": 4.45089757127772e-05,
|
| 155 |
+
"loss": 0.6061,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.63,
|
| 160 |
+
"grad_norm": 8.406760215759277,
|
| 161 |
+
"learning_rate": 4.398099260823654e-05,
|
| 162 |
+
"loss": 0.4963,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.65,
|
| 167 |
+
"grad_norm": 8.798361778259277,
|
| 168 |
+
"learning_rate": 4.3453009503695884e-05,
|
| 169 |
+
"loss": 0.552,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.68,
|
| 174 |
+
"grad_norm": 8.614947319030762,
|
| 175 |
+
"learning_rate": 4.292502639915523e-05,
|
| 176 |
+
"loss": 0.5015,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.71,
|
| 181 |
+
"grad_norm": 9.218803405761719,
|
| 182 |
+
"learning_rate": 4.239704329461457e-05,
|
| 183 |
+
"loss": 0.5246,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.74,
|
| 188 |
+
"grad_norm": 9.763008117675781,
|
| 189 |
+
"learning_rate": 4.186906019007392e-05,
|
| 190 |
+
"loss": 0.5188,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.77,
|
| 195 |
+
"grad_norm": 10.057807922363281,
|
| 196 |
+
"learning_rate": 4.1341077085533265e-05,
|
| 197 |
+
"loss": 0.4884,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.8,
|
| 202 |
+
"grad_norm": 10.842576026916504,
|
| 203 |
+
"learning_rate": 4.081309398099261e-05,
|
| 204 |
+
"loss": 0.5345,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.82,
|
| 209 |
+
"grad_norm": 8.137351036071777,
|
| 210 |
+
"learning_rate": 4.028511087645195e-05,
|
| 211 |
+
"loss": 0.5157,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.85,
|
| 216 |
+
"grad_norm": 14.897061347961426,
|
| 217 |
+
"learning_rate": 3.97571277719113e-05,
|
| 218 |
+
"loss": 0.5212,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.88,
|
| 223 |
+
"grad_norm": 11.816178321838379,
|
| 224 |
+
"learning_rate": 3.9229144667370646e-05,
|
| 225 |
+
"loss": 0.5337,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.91,
|
| 230 |
+
"grad_norm": 10.712966918945312,
|
| 231 |
+
"learning_rate": 3.870116156282999e-05,
|
| 232 |
+
"loss": 0.5154,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.94,
|
| 237 |
+
"grad_norm": 7.876273155212402,
|
| 238 |
+
"learning_rate": 3.817317845828934e-05,
|
| 239 |
+
"loss": 0.4833,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.97,
|
| 244 |
+
"grad_norm": 14.542892456054688,
|
| 245 |
+
"learning_rate": 3.764519535374868e-05,
|
| 246 |
+
"loss": 0.5037,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.0,
|
| 251 |
+
"grad_norm": 8.809218406677246,
|
| 252 |
+
"learning_rate": 3.711721224920803e-05,
|
| 253 |
+
"loss": 0.5592,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.0,
|
| 258 |
+
"eval_accuracy": 0.9538,
|
| 259 |
+
"eval_loss": 0.14359258115291595,
|
| 260 |
+
"eval_runtime": 31.1413,
|
| 261 |
+
"eval_samples_per_second": 160.558,
|
| 262 |
+
"eval_steps_per_second": 5.042,
|
| 263 |
+
"step": 351
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.02,
|
| 267 |
+
"grad_norm": 8.733403205871582,
|
| 268 |
+
"learning_rate": 3.658922914466738e-05,
|
| 269 |
+
"loss": 0.4327,
|
| 270 |
+
"step": 360
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.05,
|
| 274 |
+
"grad_norm": 9.024731636047363,
|
| 275 |
+
"learning_rate": 3.6061246040126714e-05,
|
| 276 |
+
"loss": 0.4674,
|
| 277 |
+
"step": 370
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 1.08,
|
| 281 |
+
"grad_norm": 8.668274879455566,
|
| 282 |
+
"learning_rate": 3.5533262935586064e-05,
|
| 283 |
+
"loss": 0.4807,
|
| 284 |
+
"step": 380
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.11,
|
| 288 |
+
"grad_norm": 11.616405487060547,
|
| 289 |
+
"learning_rate": 3.500527983104541e-05,
|
| 290 |
+
"loss": 0.51,
|
| 291 |
+
"step": 390
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 1.14,
|
| 295 |
+
"grad_norm": 8.094477653503418,
|
| 296 |
+
"learning_rate": 3.447729672650475e-05,
|
| 297 |
+
"loss": 0.4959,
|
| 298 |
+
"step": 400
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 1.17,
|
| 302 |
+
"grad_norm": 11.38330364227295,
|
| 303 |
+
"learning_rate": 3.3949313621964095e-05,
|
| 304 |
+
"loss": 0.4142,
|
| 305 |
+
"step": 410
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 1.19,
|
| 309 |
+
"grad_norm": 13.148619651794434,
|
| 310 |
+
"learning_rate": 3.3421330517423445e-05,
|
| 311 |
+
"loss": 0.4217,
|
| 312 |
+
"step": 420
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 1.22,
|
| 316 |
+
"grad_norm": 20.912269592285156,
|
| 317 |
+
"learning_rate": 3.289334741288279e-05,
|
| 318 |
+
"loss": 0.4437,
|
| 319 |
+
"step": 430
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 1.25,
|
| 323 |
+
"grad_norm": 12.211991310119629,
|
| 324 |
+
"learning_rate": 3.236536430834213e-05,
|
| 325 |
+
"loss": 0.4687,
|
| 326 |
+
"step": 440
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 1.28,
|
| 330 |
+
"grad_norm": 11.126351356506348,
|
| 331 |
+
"learning_rate": 3.183738120380148e-05,
|
| 332 |
+
"loss": 0.4691,
|
| 333 |
+
"step": 450
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 1.31,
|
| 337 |
+
"grad_norm": 9.944380760192871,
|
| 338 |
+
"learning_rate": 3.130939809926082e-05,
|
| 339 |
+
"loss": 0.4593,
|
| 340 |
+
"step": 460
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 1.34,
|
| 344 |
+
"grad_norm": 10.881024360656738,
|
| 345 |
+
"learning_rate": 3.078141499472017e-05,
|
| 346 |
+
"loss": 0.4594,
|
| 347 |
+
"step": 470
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 1.36,
|
| 351 |
+
"grad_norm": 7.276984214782715,
|
| 352 |
+
"learning_rate": 3.0253431890179517e-05,
|
| 353 |
+
"loss": 0.4566,
|
| 354 |
+
"step": 480
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 1.39,
|
| 358 |
+
"grad_norm": 11.3895263671875,
|
| 359 |
+
"learning_rate": 2.972544878563886e-05,
|
| 360 |
+
"loss": 0.4061,
|
| 361 |
+
"step": 490
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 1.42,
|
| 365 |
+
"grad_norm": 8.26075267791748,
|
| 366 |
+
"learning_rate": 2.9197465681098207e-05,
|
| 367 |
+
"loss": 0.4233,
|
| 368 |
+
"step": 500
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 1.45,
|
| 372 |
+
"grad_norm": 9.681741714477539,
|
| 373 |
+
"learning_rate": 2.8669482576557548e-05,
|
| 374 |
+
"loss": 0.4564,
|
| 375 |
+
"step": 510
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.48,
|
| 379 |
+
"grad_norm": 12.245609283447266,
|
| 380 |
+
"learning_rate": 2.8141499472016898e-05,
|
| 381 |
+
"loss": 0.4561,
|
| 382 |
+
"step": 520
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 1.51,
|
| 386 |
+
"grad_norm": 10.530965805053711,
|
| 387 |
+
"learning_rate": 2.7613516367476245e-05,
|
| 388 |
+
"loss": 0.429,
|
| 389 |
+
"step": 530
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 1.54,
|
| 393 |
+
"grad_norm": 6.2105889320373535,
|
| 394 |
+
"learning_rate": 2.7085533262935585e-05,
|
| 395 |
+
"loss": 0.3995,
|
| 396 |
+
"step": 540
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.56,
|
| 400 |
+
"grad_norm": 9.41408920288086,
|
| 401 |
+
"learning_rate": 2.6557550158394935e-05,
|
| 402 |
+
"loss": 0.4159,
|
| 403 |
+
"step": 550
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 1.59,
|
| 407 |
+
"grad_norm": 10.506197929382324,
|
| 408 |
+
"learning_rate": 2.6029567053854276e-05,
|
| 409 |
+
"loss": 0.4396,
|
| 410 |
+
"step": 560
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 1.62,
|
| 414 |
+
"grad_norm": 9.805855751037598,
|
| 415 |
+
"learning_rate": 2.5501583949313622e-05,
|
| 416 |
+
"loss": 0.4258,
|
| 417 |
+
"step": 570
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 1.65,
|
| 421 |
+
"grad_norm": 6.874490261077881,
|
| 422 |
+
"learning_rate": 2.497360084477297e-05,
|
| 423 |
+
"loss": 0.4014,
|
| 424 |
+
"step": 580
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 1.68,
|
| 428 |
+
"grad_norm": 9.369732856750488,
|
| 429 |
+
"learning_rate": 2.4445617740232313e-05,
|
| 430 |
+
"loss": 0.4045,
|
| 431 |
+
"step": 590
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 1.71,
|
| 435 |
+
"grad_norm": 10.258170127868652,
|
| 436 |
+
"learning_rate": 2.391763463569166e-05,
|
| 437 |
+
"loss": 0.4133,
|
| 438 |
+
"step": 600
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 1.73,
|
| 442 |
+
"grad_norm": 9.34408950805664,
|
| 443 |
+
"learning_rate": 2.3389651531151003e-05,
|
| 444 |
+
"loss": 0.4196,
|
| 445 |
+
"step": 610
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 1.76,
|
| 449 |
+
"grad_norm": 9.928686141967773,
|
| 450 |
+
"learning_rate": 2.286166842661035e-05,
|
| 451 |
+
"loss": 0.4014,
|
| 452 |
+
"step": 620
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 1.79,
|
| 456 |
+
"grad_norm": 10.1293306350708,
|
| 457 |
+
"learning_rate": 2.2333685322069694e-05,
|
| 458 |
+
"loss": 0.427,
|
| 459 |
+
"step": 630
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 1.82,
|
| 463 |
+
"grad_norm": 10.649211883544922,
|
| 464 |
+
"learning_rate": 2.180570221752904e-05,
|
| 465 |
+
"loss": 0.3947,
|
| 466 |
+
"step": 640
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 1.85,
|
| 470 |
+
"grad_norm": 12.145565032958984,
|
| 471 |
+
"learning_rate": 2.1277719112988384e-05,
|
| 472 |
+
"loss": 0.4131,
|
| 473 |
+
"step": 650
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 1.88,
|
| 477 |
+
"grad_norm": 9.348143577575684,
|
| 478 |
+
"learning_rate": 2.074973600844773e-05,
|
| 479 |
+
"loss": 0.459,
|
| 480 |
+
"step": 660
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.9,
|
| 484 |
+
"grad_norm": 8.802924156188965,
|
| 485 |
+
"learning_rate": 2.0221752903907075e-05,
|
| 486 |
+
"loss": 0.3921,
|
| 487 |
+
"step": 670
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 1.93,
|
| 491 |
+
"grad_norm": 18.41295051574707,
|
| 492 |
+
"learning_rate": 1.9693769799366422e-05,
|
| 493 |
+
"loss": 0.3756,
|
| 494 |
+
"step": 680
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 1.96,
|
| 498 |
+
"grad_norm": 8.476001739501953,
|
| 499 |
+
"learning_rate": 1.9165786694825765e-05,
|
| 500 |
+
"loss": 0.3941,
|
| 501 |
+
"step": 690
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.99,
|
| 505 |
+
"grad_norm": 9.943327903747559,
|
| 506 |
+
"learning_rate": 1.863780359028511e-05,
|
| 507 |
+
"loss": 0.3338,
|
| 508 |
+
"step": 700
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 2.0,
|
| 512 |
+
"eval_accuracy": 0.9632,
|
| 513 |
+
"eval_loss": 0.11315808445215225,
|
| 514 |
+
"eval_runtime": 31.2355,
|
| 515 |
+
"eval_samples_per_second": 160.074,
|
| 516 |
+
"eval_steps_per_second": 5.026,
|
| 517 |
+
"step": 703
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 2.02,
|
| 521 |
+
"grad_norm": 10.112526893615723,
|
| 522 |
+
"learning_rate": 1.810982048574446e-05,
|
| 523 |
+
"loss": 0.3586,
|
| 524 |
+
"step": 710
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 2.05,
|
| 528 |
+
"grad_norm": 9.651534080505371,
|
| 529 |
+
"learning_rate": 1.7581837381203803e-05,
|
| 530 |
+
"loss": 0.3957,
|
| 531 |
+
"step": 720
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 2.08,
|
| 535 |
+
"grad_norm": 7.620846748352051,
|
| 536 |
+
"learning_rate": 1.7053854276663146e-05,
|
| 537 |
+
"loss": 0.402,
|
| 538 |
+
"step": 730
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 2.1,
|
| 542 |
+
"grad_norm": 10.414019584655762,
|
| 543 |
+
"learning_rate": 1.6525871172122493e-05,
|
| 544 |
+
"loss": 0.3809,
|
| 545 |
+
"step": 740
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 2.13,
|
| 549 |
+
"grad_norm": 9.351815223693848,
|
| 550 |
+
"learning_rate": 1.5997888067581837e-05,
|
| 551 |
+
"loss": 0.3745,
|
| 552 |
+
"step": 750
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 2.16,
|
| 556 |
+
"grad_norm": 10.798675537109375,
|
| 557 |
+
"learning_rate": 1.5469904963041184e-05,
|
| 558 |
+
"loss": 0.3507,
|
| 559 |
+
"step": 760
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 2.19,
|
| 563 |
+
"grad_norm": 10.772116661071777,
|
| 564 |
+
"learning_rate": 1.4941921858500529e-05,
|
| 565 |
+
"loss": 0.3589,
|
| 566 |
+
"step": 770
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 2.22,
|
| 570 |
+
"grad_norm": 9.006869316101074,
|
| 571 |
+
"learning_rate": 1.4413938753959874e-05,
|
| 572 |
+
"loss": 0.359,
|
| 573 |
+
"step": 780
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 2.25,
|
| 577 |
+
"grad_norm": 7.237900257110596,
|
| 578 |
+
"learning_rate": 1.388595564941922e-05,
|
| 579 |
+
"loss": 0.3636,
|
| 580 |
+
"step": 790
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 2.27,
|
| 584 |
+
"grad_norm": 8.02499008178711,
|
| 585 |
+
"learning_rate": 1.3357972544878563e-05,
|
| 586 |
+
"loss": 0.3817,
|
| 587 |
+
"step": 800
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 2.3,
|
| 591 |
+
"grad_norm": 7.373661041259766,
|
| 592 |
+
"learning_rate": 1.2829989440337912e-05,
|
| 593 |
+
"loss": 0.3812,
|
| 594 |
+
"step": 810
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 2.33,
|
| 598 |
+
"grad_norm": 9.66775131225586,
|
| 599 |
+
"learning_rate": 1.2302006335797255e-05,
|
| 600 |
+
"loss": 0.3681,
|
| 601 |
+
"step": 820
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 2.36,
|
| 605 |
+
"grad_norm": 9.115776062011719,
|
| 606 |
+
"learning_rate": 1.17740232312566e-05,
|
| 607 |
+
"loss": 0.4156,
|
| 608 |
+
"step": 830
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 2.39,
|
| 612 |
+
"grad_norm": 8.92050838470459,
|
| 613 |
+
"learning_rate": 1.1246040126715946e-05,
|
| 614 |
+
"loss": 0.3629,
|
| 615 |
+
"step": 840
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 2.42,
|
| 619 |
+
"grad_norm": 7.8812031745910645,
|
| 620 |
+
"learning_rate": 1.0718057022175291e-05,
|
| 621 |
+
"loss": 0.356,
|
| 622 |
+
"step": 850
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 2.44,
|
| 626 |
+
"grad_norm": 5.577208518981934,
|
| 627 |
+
"learning_rate": 1.0190073917634636e-05,
|
| 628 |
+
"loss": 0.3653,
|
| 629 |
+
"step": 860
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 2.47,
|
| 633 |
+
"grad_norm": 9.963196754455566,
|
| 634 |
+
"learning_rate": 9.662090813093982e-06,
|
| 635 |
+
"loss": 0.3648,
|
| 636 |
+
"step": 870
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 2.5,
|
| 640 |
+
"grad_norm": 10.441061973571777,
|
| 641 |
+
"learning_rate": 9.134107708553327e-06,
|
| 642 |
+
"loss": 0.3671,
|
| 643 |
+
"step": 880
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 2.53,
|
| 647 |
+
"grad_norm": 11.808416366577148,
|
| 648 |
+
"learning_rate": 8.606124604012672e-06,
|
| 649 |
+
"loss": 0.3012,
|
| 650 |
+
"step": 890
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 2.56,
|
| 654 |
+
"grad_norm": 7.2837138175964355,
|
| 655 |
+
"learning_rate": 8.078141499472017e-06,
|
| 656 |
+
"loss": 0.4002,
|
| 657 |
+
"step": 900
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 2.59,
|
| 661 |
+
"grad_norm": 7.841160297393799,
|
| 662 |
+
"learning_rate": 7.5501583949313625e-06,
|
| 663 |
+
"loss": 0.424,
|
| 664 |
+
"step": 910
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 2.62,
|
| 668 |
+
"grad_norm": 11.717653274536133,
|
| 669 |
+
"learning_rate": 7.022175290390708e-06,
|
| 670 |
+
"loss": 0.3432,
|
| 671 |
+
"step": 920
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 2.64,
|
| 675 |
+
"grad_norm": 7.797212600708008,
|
| 676 |
+
"learning_rate": 6.494192185850054e-06,
|
| 677 |
+
"loss": 0.3618,
|
| 678 |
+
"step": 930
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 2.67,
|
| 682 |
+
"grad_norm": 9.33782958984375,
|
| 683 |
+
"learning_rate": 5.966209081309398e-06,
|
| 684 |
+
"loss": 0.3559,
|
| 685 |
+
"step": 940
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 2.7,
|
| 689 |
+
"grad_norm": 8.307150840759277,
|
| 690 |
+
"learning_rate": 5.438225976768744e-06,
|
| 691 |
+
"loss": 0.3601,
|
| 692 |
+
"step": 950
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 2.73,
|
| 696 |
+
"grad_norm": 8.53368854522705,
|
| 697 |
+
"learning_rate": 4.910242872228089e-06,
|
| 698 |
+
"loss": 0.3319,
|
| 699 |
+
"step": 960
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 2.76,
|
| 703 |
+
"grad_norm": 8.487812042236328,
|
| 704 |
+
"learning_rate": 4.382259767687434e-06,
|
| 705 |
+
"loss": 0.3331,
|
| 706 |
+
"step": 970
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 2.79,
|
| 710 |
+
"grad_norm": 10.636713027954102,
|
| 711 |
+
"learning_rate": 3.854276663146779e-06,
|
| 712 |
+
"loss": 0.359,
|
| 713 |
+
"step": 980
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 2.81,
|
| 717 |
+
"grad_norm": 13.220087051391602,
|
| 718 |
+
"learning_rate": 3.326293558606125e-06,
|
| 719 |
+
"loss": 0.3598,
|
| 720 |
+
"step": 990
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 2.84,
|
| 724 |
+
"grad_norm": 7.285949230194092,
|
| 725 |
+
"learning_rate": 2.79831045406547e-06,
|
| 726 |
+
"loss": 0.3503,
|
| 727 |
+
"step": 1000
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 2.87,
|
| 731 |
+
"grad_norm": 8.310001373291016,
|
| 732 |
+
"learning_rate": 2.2703273495248154e-06,
|
| 733 |
+
"loss": 0.3566,
|
| 734 |
+
"step": 1010
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 2.9,
|
| 738 |
+
"grad_norm": 9.105748176574707,
|
| 739 |
+
"learning_rate": 1.7423442449841606e-06,
|
| 740 |
+
"loss": 0.3345,
|
| 741 |
+
"step": 1020
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 2.93,
|
| 745 |
+
"grad_norm": 7.4982008934021,
|
| 746 |
+
"learning_rate": 1.2143611404435059e-06,
|
| 747 |
+
"loss": 0.3398,
|
| 748 |
+
"step": 1030
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"epoch": 2.96,
|
| 752 |
+
"grad_norm": 11.533191680908203,
|
| 753 |
+
"learning_rate": 6.863780359028511e-07,
|
| 754 |
+
"loss": 0.3275,
|
| 755 |
+
"step": 1040
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 2.99,
|
| 759 |
+
"grad_norm": 7.991899013519287,
|
| 760 |
+
"learning_rate": 1.5839493136219642e-07,
|
| 761 |
+
"loss": 0.3196,
|
| 762 |
+
"step": 1050
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 2.99,
|
| 766 |
+
"eval_accuracy": 0.969,
|
| 767 |
+
"eval_loss": 0.09590400755405426,
|
| 768 |
+
"eval_runtime": 31.5821,
|
| 769 |
+
"eval_samples_per_second": 158.318,
|
| 770 |
+
"eval_steps_per_second": 4.971,
|
| 771 |
+
"step": 1053
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 2.99,
|
| 775 |
+
"step": 1053,
|
| 776 |
+
"total_flos": 3.3497451642252165e+18,
|
| 777 |
+
"train_loss": 0.5486761254009924,
|
| 778 |
+
"train_runtime": 2094.2938,
|
| 779 |
+
"train_samples_per_second": 64.461,
|
| 780 |
+
"train_steps_per_second": 0.503
|
| 781 |
+
}
|
| 782 |
+
],
|
| 783 |
+
"logging_steps": 10,
|
| 784 |
+
"max_steps": 1053,
|
| 785 |
+
"num_input_tokens_seen": 0,
|
| 786 |
+
"num_train_epochs": 3,
|
| 787 |
+
"save_steps": 500,
|
| 788 |
+
"total_flos": 3.3497451642252165e+18,
|
| 789 |
+
"train_batch_size": 32,
|
| 790 |
+
"trial_name": null,
|
| 791 |
+
"trial_params": null
|
| 792 |
+
}
|