Swida / trainer_state.json
andrewromitti's picture
Upload 8 files
4358ecd verified
{
"best_metric": 0.8472222222222222,
"best_model_checkpoint": "lungcancer_model_deit/checkpoint-84",
"epoch": 12.987012987012987,
"eval_steps": 500,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9090909090909091,
"grad_norm": 9.56179428100586,
"learning_rate": 4.666666666666667e-05,
"loss": 1.3622,
"step": 7
},
{
"epoch": 0.9090909090909091,
"eval_accuracy": 0.4583333333333333,
"eval_loss": 1.1259331703186035,
"eval_runtime": 1.0658,
"eval_samples_per_second": 67.556,
"eval_steps_per_second": 8.444,
"step": 7
},
{
"epoch": 1.8181818181818183,
"grad_norm": 4.5356645584106445,
"learning_rate": 4.3333333333333334e-05,
"loss": 0.735,
"step": 14
},
{
"epoch": 1.948051948051948,
"eval_accuracy": 0.5,
"eval_loss": 0.9460827708244324,
"eval_runtime": 1.2329,
"eval_samples_per_second": 58.401,
"eval_steps_per_second": 7.3,
"step": 15
},
{
"epoch": 2.7272727272727275,
"grad_norm": 11.363588333129883,
"learning_rate": 4e-05,
"loss": 0.5287,
"step": 21
},
{
"epoch": 2.987012987012987,
"eval_accuracy": 0.5972222222222222,
"eval_loss": 0.9006068706512451,
"eval_runtime": 1.1547,
"eval_samples_per_second": 62.353,
"eval_steps_per_second": 7.794,
"step": 23
},
{
"epoch": 3.6363636363636362,
"grad_norm": 9.22575855255127,
"learning_rate": 3.6666666666666666e-05,
"loss": 0.2822,
"step": 28
},
{
"epoch": 3.896103896103896,
"eval_accuracy": 0.6666666666666666,
"eval_loss": 0.7236449718475342,
"eval_runtime": 1.0624,
"eval_samples_per_second": 67.772,
"eval_steps_per_second": 8.471,
"step": 30
},
{
"epoch": 4.545454545454545,
"grad_norm": 10.75616455078125,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.1459,
"step": 35
},
{
"epoch": 4.935064935064935,
"eval_accuracy": 0.7777777777777778,
"eval_loss": 0.5326564908027649,
"eval_runtime": 1.0763,
"eval_samples_per_second": 66.898,
"eval_steps_per_second": 8.362,
"step": 38
},
{
"epoch": 5.454545454545454,
"grad_norm": 2.9255380630493164,
"learning_rate": 3e-05,
"loss": 0.0687,
"step": 42
},
{
"epoch": 5.974025974025974,
"eval_accuracy": 0.8333333333333334,
"eval_loss": 0.42256489396095276,
"eval_runtime": 1.9017,
"eval_samples_per_second": 37.86,
"eval_steps_per_second": 4.733,
"step": 46
},
{
"epoch": 6.363636363636363,
"grad_norm": 2.1261632442474365,
"learning_rate": 2.6666666666666667e-05,
"loss": 0.0269,
"step": 49
},
{
"epoch": 6.883116883116883,
"eval_accuracy": 0.8333333333333334,
"eval_loss": 0.4134489595890045,
"eval_runtime": 1.0782,
"eval_samples_per_second": 66.781,
"eval_steps_per_second": 8.348,
"step": 53
},
{
"epoch": 7.2727272727272725,
"grad_norm": 0.20565827190876007,
"learning_rate": 2.3333333333333336e-05,
"loss": 0.0139,
"step": 56
},
{
"epoch": 7.922077922077922,
"eval_accuracy": 0.8333333333333334,
"eval_loss": 0.3836323916912079,
"eval_runtime": 1.0936,
"eval_samples_per_second": 65.839,
"eval_steps_per_second": 8.23,
"step": 61
},
{
"epoch": 8.181818181818182,
"grad_norm": 0.11971937119960785,
"learning_rate": 2e-05,
"loss": 0.0077,
"step": 63
},
{
"epoch": 8.96103896103896,
"eval_accuracy": 0.8194444444444444,
"eval_loss": 0.5306501984596252,
"eval_runtime": 1.071,
"eval_samples_per_second": 67.228,
"eval_steps_per_second": 8.404,
"step": 69
},
{
"epoch": 9.090909090909092,
"grad_norm": 0.09062337130308151,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.0054,
"step": 70
},
{
"epoch": 10.0,
"grad_norm": 0.041697677224874496,
"learning_rate": 1.3333333333333333e-05,
"loss": 0.0042,
"step": 77
},
{
"epoch": 10.0,
"eval_accuracy": 0.8333333333333334,
"eval_loss": 0.4780552089214325,
"eval_runtime": 1.1093,
"eval_samples_per_second": 64.905,
"eval_steps_per_second": 8.113,
"step": 77
},
{
"epoch": 10.909090909090908,
"grad_norm": 0.0230174008756876,
"learning_rate": 1e-05,
"loss": 0.0038,
"step": 84
},
{
"epoch": 10.909090909090908,
"eval_accuracy": 0.8472222222222222,
"eval_loss": 0.41819339990615845,
"eval_runtime": 1.0796,
"eval_samples_per_second": 66.694,
"eval_steps_per_second": 8.337,
"step": 84
},
{
"epoch": 11.818181818181818,
"grad_norm": 0.024311551824212074,
"learning_rate": 6.666666666666667e-06,
"loss": 0.0039,
"step": 91
},
{
"epoch": 11.948051948051948,
"eval_accuracy": 0.8472222222222222,
"eval_loss": 0.39705508947372437,
"eval_runtime": 1.0729,
"eval_samples_per_second": 67.106,
"eval_steps_per_second": 8.388,
"step": 92
},
{
"epoch": 12.727272727272727,
"grad_norm": 0.022643834352493286,
"learning_rate": 3.3333333333333333e-06,
"loss": 0.0018,
"step": 98
},
{
"epoch": 12.987012987012987,
"eval_accuracy": 0.8472222222222222,
"eval_loss": 0.39274024963378906,
"eval_runtime": 1.0807,
"eval_samples_per_second": 66.626,
"eval_steps_per_second": 8.328,
"step": 100
}
],
"logging_steps": 7,
"max_steps": 105,
"num_input_tokens_seen": 0,
"num_train_epochs": 15,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 6.175723941563904e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}