vit-base-patch16-224-RU5-10 / trainer_state.json
Augusto777's picture
End of training
a3f4952 verified
raw
history blame
4.38 kB
{
"best_metric": 0.7333333333333333,
"best_model_checkpoint": "vit-base-patch16-224-RU5-10\\checkpoint-87",
"epoch": 9.23076923076923,
"eval_steps": 500,
"global_step": 90,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.92,
"eval_accuracy": 0.4666666666666667,
"eval_loss": 1.293900728225708,
"eval_runtime": 1.019,
"eval_samples_per_second": 58.879,
"eval_steps_per_second": 1.963,
"step": 9
},
{
"epoch": 1.03,
"learning_rate": 5.1764705882352943e-05,
"loss": 1.3501,
"step": 10
},
{
"epoch": 1.95,
"eval_accuracy": 0.5833333333333334,
"eval_loss": 1.170591115951538,
"eval_runtime": 1.0727,
"eval_samples_per_second": 55.933,
"eval_steps_per_second": 1.864,
"step": 19
},
{
"epoch": 2.05,
"learning_rate": 4.5294117647058826e-05,
"loss": 1.2272,
"step": 20
},
{
"epoch": 2.97,
"eval_accuracy": 0.6333333333333333,
"eval_loss": 1.0594052076339722,
"eval_runtime": 1.0633,
"eval_samples_per_second": 56.426,
"eval_steps_per_second": 1.881,
"step": 29
},
{
"epoch": 3.08,
"learning_rate": 3.882352941176471e-05,
"loss": 1.0941,
"step": 30
},
{
"epoch": 4.0,
"eval_accuracy": 0.6,
"eval_loss": 0.9773460030555725,
"eval_runtime": 1.0306,
"eval_samples_per_second": 58.221,
"eval_steps_per_second": 1.941,
"step": 39
},
{
"epoch": 4.1,
"learning_rate": 3.235294117647059e-05,
"loss": 0.979,
"step": 40
},
{
"epoch": 4.92,
"eval_accuracy": 0.6833333333333333,
"eval_loss": 0.9141623377799988,
"eval_runtime": 1.0244,
"eval_samples_per_second": 58.572,
"eval_steps_per_second": 1.952,
"step": 48
},
{
"epoch": 5.13,
"learning_rate": 2.5882352941176472e-05,
"loss": 0.8694,
"step": 50
},
{
"epoch": 5.95,
"eval_accuracy": 0.7,
"eval_loss": 0.8568627238273621,
"eval_runtime": 1.0443,
"eval_samples_per_second": 57.453,
"eval_steps_per_second": 1.915,
"step": 58
},
{
"epoch": 6.15,
"learning_rate": 1.9411764705882355e-05,
"loss": 0.7662,
"step": 60
},
{
"epoch": 6.97,
"eval_accuracy": 0.6833333333333333,
"eval_loss": 0.8363937139511108,
"eval_runtime": 1.067,
"eval_samples_per_second": 56.233,
"eval_steps_per_second": 1.874,
"step": 68
},
{
"epoch": 7.18,
"learning_rate": 1.2941176470588236e-05,
"loss": 0.7002,
"step": 70
},
{
"epoch": 8.0,
"eval_accuracy": 0.7,
"eval_loss": 0.8071037530899048,
"eval_runtime": 1.0561,
"eval_samples_per_second": 56.814,
"eval_steps_per_second": 1.894,
"step": 78
},
{
"epoch": 8.21,
"learning_rate": 6.470588235294118e-06,
"loss": 0.6443,
"step": 80
},
{
"epoch": 8.92,
"eval_accuracy": 0.7333333333333333,
"eval_loss": 0.809493362903595,
"eval_runtime": 1.0229,
"eval_samples_per_second": 58.655,
"eval_steps_per_second": 1.955,
"step": 87
},
{
"epoch": 9.23,
"learning_rate": 0.0,
"loss": 0.629,
"step": 90
},
{
"epoch": 9.23,
"eval_accuracy": 0.7166666666666667,
"eval_loss": 0.8133583664894104,
"eval_runtime": 1.0093,
"eval_samples_per_second": 59.45,
"eval_steps_per_second": 1.982,
"step": 90
},
{
"epoch": 9.23,
"step": 90,
"total_flos": 8.766825930857595e+17,
"train_loss": 0.9177195443047418,
"train_runtime": 195.1818,
"train_samples_per_second": 62.762,
"train_steps_per_second": 0.461
}
],
"logging_steps": 10,
"max_steps": 90,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 8.766825930857595e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}