File size: 1,807 Bytes
4994314 bda3d1e 4994314 bda3d1e 4994314 bda3d1e 4994314 bda3d1e 4994314 bda3d1e 4994314 bda3d1e 4994314 bda3d1e 4994314 bda3d1e 4994314 bda3d1e 4994314 |
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 |
{
"best_metric": 0.7925636007827789,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-192",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 384,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.8947777152061462,
"learning_rate": 0.0005181908296523575,
"loss": 0.4457,
"step": 192
},
{
"epoch": 1.0,
"eval_accuracy": 0.7925636007827789,
"eval_f1": 0.8090090090090091,
"eval_loss": 0.41997030377388,
"eval_mcc": 0.59400157079309,
"eval_precision": 0.7495826377295493,
"eval_recall": 0.8786692759295499,
"eval_runtime": 66.1643,
"eval_samples_per_second": 15.446,
"eval_steps_per_second": 0.484,
"step": 192
},
{
"epoch": 2.0,
"grad_norm": 1.971238613128662,
"learning_rate": 0.0004606140708020956,
"loss": 0.4163,
"step": 384
},
{
"epoch": 2.0,
"eval_accuracy": 0.7915851272015656,
"eval_f1": 0.7957813998082454,
"eval_loss": 0.39958736300468445,
"eval_mcc": 0.5836633290639656,
"eval_precision": 0.7800751879699248,
"eval_recall": 0.812133072407045,
"eval_runtime": 66.5614,
"eval_samples_per_second": 15.354,
"eval_steps_per_second": 0.481,
"step": 384
}
],
"logging_steps": 500,
"max_steps": 1920,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 471390394560.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": {
"alpha": 0.6664545915670365,
"learning_rate": 0.0005757675885026195,
"num_train_epochs": 10,
"per_device_train_batch_size": 16,
"temperature": 37
}
}
|