File size: 2,984 Bytes
85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 0f1a103 85e3ab1 |
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 |
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 7.0,
"eval_steps": 500,
"global_step": 2226,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.6445161290322581,
"eval_loss": 0.29249975085258484,
"eval_runtime": 5.1547,
"eval_samples_per_second": 601.395,
"eval_steps_per_second": 12.61,
"step": 318
},
{
"epoch": 1.5723270440251573,
"grad_norm": 0.6633772850036621,
"learning_rate": 1.550763701707098e-05,
"loss": 0.4626,
"step": 500
},
{
"epoch": 2.0,
"eval_accuracy": 0.8380645161290322,
"eval_loss": 0.12248263508081436,
"eval_runtime": 5.377,
"eval_samples_per_second": 576.528,
"eval_steps_per_second": 12.088,
"step": 636
},
{
"epoch": 3.0,
"eval_accuracy": 0.8887096774193548,
"eval_loss": 0.07343784719705582,
"eval_runtime": 5.2352,
"eval_samples_per_second": 592.149,
"eval_steps_per_second": 12.416,
"step": 954
},
{
"epoch": 3.1446540880503147,
"grad_norm": 0.59869384765625,
"learning_rate": 1.101527403414196e-05,
"loss": 0.1438,
"step": 1000
},
{
"epoch": 4.0,
"eval_accuracy": 0.9045161290322581,
"eval_loss": 0.05444410815834999,
"eval_runtime": 5.4434,
"eval_samples_per_second": 569.5,
"eval_steps_per_second": 11.941,
"step": 1272
},
{
"epoch": 4.716981132075472,
"grad_norm": 0.4075869023799896,
"learning_rate": 6.522911051212939e-06,
"loss": 0.0845,
"step": 1500
},
{
"epoch": 5.0,
"eval_accuracy": 0.9141935483870968,
"eval_loss": 0.045045968145132065,
"eval_runtime": 5.238,
"eval_samples_per_second": 591.824,
"eval_steps_per_second": 12.409,
"step": 1590
},
{
"epoch": 6.0,
"eval_accuracy": 0.9190322580645162,
"eval_loss": 0.04080257937312126,
"eval_runtime": 5.1414,
"eval_samples_per_second": 602.95,
"eval_steps_per_second": 12.642,
"step": 1908
},
{
"epoch": 6.289308176100629,
"grad_norm": 0.352282851934433,
"learning_rate": 2.0305480682839176e-06,
"loss": 0.0669,
"step": 2000
}
],
"logging_steps": 500,
"max_steps": 2226,
"num_input_tokens_seen": 0,
"num_train_epochs": 7,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 520991326672152.0,
"train_batch_size": 48,
"trial_name": null,
"trial_params": {
"alpha": 0.3308965359344769,
"num_train_epochs": 7,
"temperature": 3
}
}
|