File size: 1,692 Bytes
733ca36 |
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 |
{
"best_metric": 0.7974559686888454,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-14/checkpoint-192",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 192,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.392162561416626,
"learning_rate": 0.00018327679510936405,
"loss": 0.506,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.7945205479452054,
"eval_f1": 0.8138297872340425,
"eval_loss": 0.43322718143463135,
"eval_precision": 0.7439222042139384,
"eval_recall": 0.898238747553816,
"eval_runtime": 28.335,
"eval_samples_per_second": 36.068,
"eval_steps_per_second": 1.129,
"step": 96
},
{
"epoch": 2.0,
"grad_norm": 2.713252544403076,
"learning_rate": 0.00012218453007290937,
"loss": 0.4356,
"step": 192
},
{
"epoch": 2.0,
"eval_accuracy": 0.7974559686888454,
"eval_f1": 0.8169761273209548,
"eval_loss": 0.4169149696826935,
"eval_precision": 0.7451612903225806,
"eval_recall": 0.9041095890410958,
"eval_runtime": 28.1818,
"eval_samples_per_second": 36.265,
"eval_steps_per_second": 1.135,
"step": 192
}
],
"logging_steps": 500,
"max_steps": 384,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 471390394560.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.7512024699670536,
"learning_rate": 0.00024436906014581875,
"num_train_epochs": 4,
"temperature": 25
}
}
|