File size: 3,881 Bytes
be08ef4 9487b76 be08ef4 65c1586 9487b76 65c1586 9487b76 be08ef4 9487b76 be08ef4 9487b76 be08ef4 9487b76 be08ef4 9487b76 be08ef4 9487b76 be08ef4 9487b76 be08ef4 9487b76 be08ef4 65c1586 be08ef4 65c1586 be08ef4 9487b76 be08ef4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 |
{
"best_metric": 0.991941391941392,
"best_model_checkpoint": "A-POR-LOS-8000/distilhubert-finetuned-cry-detector/checkpoint-597",
"epoch": 6.992679355783309,
"eval_steps": 500,
"global_step": 597,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9956076134699854,
"eval_accuracy": 0.9538461538461539,
"eval_f1": 0.9535883665206972,
"eval_loss": 0.11965569853782654,
"eval_precision": 0.9535470731605858,
"eval_recall": 0.9538461538461539,
"eval_runtime": 5.8661,
"eval_samples_per_second": 232.691,
"eval_steps_per_second": 29.15,
"step": 85
},
{
"epoch": 1.9912152269399708,
"eval_accuracy": 0.9831501831501831,
"eval_f1": 0.983143153392684,
"eval_loss": 0.060115572065114975,
"eval_precision": 0.9831374404084774,
"eval_recall": 0.9831501831501831,
"eval_runtime": 5.9254,
"eval_samples_per_second": 230.365,
"eval_steps_per_second": 28.859,
"step": 170
},
{
"epoch": 2.998535871156662,
"eval_accuracy": 0.9868131868131869,
"eval_f1": 0.9868241092241091,
"eval_loss": 0.05060575157403946,
"eval_precision": 0.9868403029537207,
"eval_recall": 0.9868131868131869,
"eval_runtime": 5.9299,
"eval_samples_per_second": 230.189,
"eval_steps_per_second": 28.837,
"step": 256
},
{
"epoch": 3.994143484626647,
"eval_accuracy": 0.9860805860805861,
"eval_f1": 0.9861535269385863,
"eval_loss": 0.04610973969101906,
"eval_precision": 0.986445121171901,
"eval_recall": 0.9860805860805861,
"eval_runtime": 5.9428,
"eval_samples_per_second": 229.69,
"eval_steps_per_second": 28.774,
"step": 341
},
{
"epoch": 4.989751098096632,
"eval_accuracy": 0.989010989010989,
"eval_f1": 0.9890246085529585,
"eval_loss": 0.0438910573720932,
"eval_precision": 0.989050109460552,
"eval_recall": 0.989010989010989,
"eval_runtime": 5.937,
"eval_samples_per_second": 229.913,
"eval_steps_per_second": 28.802,
"step": 426
},
{
"epoch": 5.856515373352855,
"grad_norm": 0.08060992509126663,
"learning_rate": 1.0917042498003083e-05,
"loss": 0.0779,
"step": 500
},
{
"epoch": 5.997071742313324,
"eval_accuracy": 0.9904761904761905,
"eval_f1": 0.9904879940792306,
"eval_loss": 0.0396205335855484,
"eval_precision": 0.9905117057078526,
"eval_recall": 0.9904761904761905,
"eval_runtime": 5.9047,
"eval_samples_per_second": 231.172,
"eval_steps_per_second": 28.96,
"step": 512
},
{
"epoch": 6.992679355783309,
"eval_accuracy": 0.991941391941392,
"eval_f1": 0.9919447375447602,
"eval_loss": 0.035047151148319244,
"eval_precision": 0.9919494135494136,
"eval_recall": 0.991941391941392,
"eval_runtime": 6.0502,
"eval_samples_per_second": 225.612,
"eval_steps_per_second": 28.264,
"step": 597
}
],
"logging_steps": 500,
"max_steps": 850,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 3,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 8.691905319552e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}
|