File size: 2,122 Bytes
078d407 |
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 |
{
"best_metric": 0.8176605504587156,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-1581",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 1581,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 16.55626678466797,
"learning_rate": 5.1383294230414005e-05,
"loss": 1.5907,
"step": 527
},
{
"epoch": 1.0,
"eval_accuracy": 0.8061926605504587,
"eval_loss": 1.2464169263839722,
"eval_runtime": 2.4007,
"eval_samples_per_second": 363.232,
"eval_steps_per_second": 2.916,
"step": 527
},
{
"epoch": 2.0,
"grad_norm": Infinity,
"learning_rate": 4.405675241279466e-05,
"loss": 0.9038,
"step": 1054
},
{
"epoch": 2.0,
"eval_accuracy": 0.8107798165137615,
"eval_loss": 1.1235342025756836,
"eval_runtime": 2.3533,
"eval_samples_per_second": 370.54,
"eval_steps_per_second": 2.975,
"step": 1054
},
{
"epoch": 3.0,
"grad_norm": 48.55740737915039,
"learning_rate": 3.67162818084498e-05,
"loss": 0.6946,
"step": 1581
},
{
"epoch": 3.0,
"eval_accuracy": 0.8176605504587156,
"eval_loss": 1.1027159690856934,
"eval_runtime": 2.3719,
"eval_samples_per_second": 367.637,
"eval_steps_per_second": 2.951,
"step": 1581
}
],
"logging_steps": 500,
"max_steps": 4216,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"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": 24228458327580.0,
"train_batch_size": 128,
"trial_name": null,
"trial_params": {
"alpha": 0.5167874928728581,
"learning_rate": 5.872376483475886e-05,
"num_train_epochs": 8,
"temperature": 5
}
}
|