tiny_bert_rand_100_v1_cola / trainer_state.json
Hartunka's picture
End of training
bd42ea3 verified
{
"best_metric": 0.6167479157447815,
"best_model_checkpoint": "tiny_bert_rand_100_v1_cola/checkpoint-102",
"epoch": 8.0,
"eval_steps": 500,
"global_step": 272,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.4837210476398468,
"learning_rate": 4.9e-05,
"loss": 0.6124,
"step": 34
},
{
"epoch": 1.0,
"eval_accuracy": 0.6912751793861389,
"eval_loss": 0.6174571514129639,
"eval_matthews_correlation": 0.0,
"eval_runtime": 0.3823,
"eval_samples_per_second": 2728.439,
"eval_steps_per_second": 13.08,
"step": 34
},
{
"epoch": 2.0,
"grad_norm": 1.0265470743179321,
"learning_rate": 4.8e-05,
"loss": 0.6026,
"step": 68
},
{
"epoch": 2.0,
"eval_accuracy": 0.6912751793861389,
"eval_loss": 0.6177305579185486,
"eval_matthews_correlation": 0.0,
"eval_runtime": 0.4107,
"eval_samples_per_second": 2539.808,
"eval_steps_per_second": 12.175,
"step": 68
},
{
"epoch": 3.0,
"grad_norm": 1.342545986175537,
"learning_rate": 4.7e-05,
"loss": 0.5763,
"step": 102
},
{
"epoch": 3.0,
"eval_accuracy": 0.6893576383590698,
"eval_loss": 0.6167479157447815,
"eval_matthews_correlation": 0.025208083291660098,
"eval_runtime": 0.3785,
"eval_samples_per_second": 2755.505,
"eval_steps_per_second": 13.21,
"step": 102
},
{
"epoch": 4.0,
"grad_norm": 2.29557728767395,
"learning_rate": 4.600000000000001e-05,
"loss": 0.532,
"step": 136
},
{
"epoch": 4.0,
"eval_accuracy": 0.6759347915649414,
"eval_loss": 0.6644594669342041,
"eval_matthews_correlation": 0.11268021696428915,
"eval_runtime": 0.3793,
"eval_samples_per_second": 2750.016,
"eval_steps_per_second": 13.183,
"step": 136
},
{
"epoch": 5.0,
"grad_norm": 2.1529641151428223,
"learning_rate": 4.5e-05,
"loss": 0.4889,
"step": 170
},
{
"epoch": 5.0,
"eval_accuracy": 0.6605944633483887,
"eval_loss": 0.6772807240486145,
"eval_matthews_correlation": 0.10937979173366325,
"eval_runtime": 0.3842,
"eval_samples_per_second": 2714.468,
"eval_steps_per_second": 13.013,
"step": 170
},
{
"epoch": 6.0,
"grad_norm": 2.524132490158081,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.4476,
"step": 204
},
{
"epoch": 6.0,
"eval_accuracy": 0.6260786056518555,
"eval_loss": 0.716733992099762,
"eval_matthews_correlation": 0.06212067397571388,
"eval_runtime": 0.3939,
"eval_samples_per_second": 2647.9,
"eval_steps_per_second": 12.694,
"step": 204
},
{
"epoch": 7.0,
"grad_norm": 3.1822924613952637,
"learning_rate": 4.3e-05,
"loss": 0.4192,
"step": 238
},
{
"epoch": 7.0,
"eval_accuracy": 0.61649090051651,
"eval_loss": 0.7916640043258667,
"eval_matthews_correlation": 0.09216190103080887,
"eval_runtime": 0.4376,
"eval_samples_per_second": 2383.322,
"eval_steps_per_second": 11.425,
"step": 238
},
{
"epoch": 8.0,
"grad_norm": 3.470726490020752,
"learning_rate": 4.2e-05,
"loss": 0.3928,
"step": 272
},
{
"epoch": 8.0,
"eval_accuracy": 0.6366251111030579,
"eval_loss": 0.8240132331848145,
"eval_matthews_correlation": 0.08989469784450668,
"eval_runtime": 0.3797,
"eval_samples_per_second": 2747.14,
"eval_steps_per_second": 13.169,
"step": 272
},
{
"epoch": 8.0,
"step": 272,
"total_flos": 1793902531485696.0,
"train_loss": 0.5089688897132874,
"train_runtime": 55.5554,
"train_samples_per_second": 7695.926,
"train_steps_per_second": 30.6
}
],
"logging_steps": 1,
"max_steps": 1700,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 500,
"total_flos": 1793902531485696.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}