juand5's picture
Training in progress, epoch 5
6138c00 verified
raw
history blame
6.7 kB
{
"best_metric": 0.9169825625473844,
"best_model_checkpoint": "distilbert-base-uncased-finetuned-multiclass-classification/run-3/checkpoint-13190",
"epoch": 5.0,
"eval_steps": 500,
"global_step": 13190,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18953752843062927,
"grad_norm": 9.870668411254883,
"learning_rate": 1.490581283927063e-05,
"loss": 5.8661,
"step": 500
},
{
"epoch": 0.37907505686125853,
"grad_norm": 11.824650764465332,
"learning_rate": 1.4318507368850198e-05,
"loss": 4.7233,
"step": 1000
},
{
"epoch": 0.5686125852918877,
"grad_norm": 11.662109375,
"learning_rate": 1.3731201898429762e-05,
"loss": 3.8044,
"step": 1500
},
{
"epoch": 0.7581501137225171,
"grad_norm": 11.159646987915039,
"learning_rate": 1.3143896428009328e-05,
"loss": 3.0524,
"step": 2000
},
{
"epoch": 0.9476876421531463,
"grad_norm": 13.040279388427734,
"learning_rate": 1.2556590957588894e-05,
"loss": 2.5575,
"step": 2500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7350265352539803,
"eval_loss": 2.0373177528381348,
"eval_runtime": 41.2753,
"eval_samples_per_second": 63.912,
"eval_steps_per_second": 3.998,
"step": 2638
},
{
"epoch": 1.1372251705837755,
"grad_norm": 14.501738548278809,
"learning_rate": 1.1969285487168458e-05,
"loss": 2.0424,
"step": 3000
},
{
"epoch": 1.3267626990144048,
"grad_norm": 8.37807846069336,
"learning_rate": 1.1381980016748024e-05,
"loss": 1.6845,
"step": 3500
},
{
"epoch": 1.5163002274450341,
"grad_norm": 16.81246566772461,
"learning_rate": 1.0794674546327588e-05,
"loss": 1.4752,
"step": 4000
},
{
"epoch": 1.7058377558756632,
"grad_norm": 9.910699844360352,
"learning_rate": 1.0207369075907154e-05,
"loss": 1.3347,
"step": 4500
},
{
"epoch": 1.8953752843062928,
"grad_norm": 8.623641014099121,
"learning_rate": 9.62006360548672e-06,
"loss": 1.185,
"step": 5000
},
{
"epoch": 2.0,
"eval_accuracy": 0.8442001516300227,
"eval_loss": 1.0104457139968872,
"eval_runtime": 41.2462,
"eval_samples_per_second": 63.957,
"eval_steps_per_second": 4.0,
"step": 5276
},
{
"epoch": 2.084912812736922,
"grad_norm": 4.728893756866455,
"learning_rate": 9.032758135066284e-06,
"loss": 0.9927,
"step": 5500
},
{
"epoch": 2.274450341167551,
"grad_norm": 2.276144027709961,
"learning_rate": 8.445452664645852e-06,
"loss": 0.8242,
"step": 6000
},
{
"epoch": 2.4639878695981805,
"grad_norm": 2.264138698577881,
"learning_rate": 7.858147194225416e-06,
"loss": 0.8038,
"step": 6500
},
{
"epoch": 2.6535253980288096,
"grad_norm": 3.794312000274658,
"learning_rate": 7.270841723804981e-06,
"loss": 0.8027,
"step": 7000
},
{
"epoch": 2.8430629264594387,
"grad_norm": 8.422940254211426,
"learning_rate": 6.683536253384547e-06,
"loss": 0.6962,
"step": 7500
},
{
"epoch": 3.0,
"eval_accuracy": 0.8847611827141774,
"eval_loss": 0.7159162163734436,
"eval_runtime": 45.9678,
"eval_samples_per_second": 57.388,
"eval_steps_per_second": 3.589,
"step": 7914
},
{
"epoch": 3.0326004548900682,
"grad_norm": 2.8076231479644775,
"learning_rate": 6.096230782964112e-06,
"loss": 0.6665,
"step": 8000
},
{
"epoch": 3.2221379833206973,
"grad_norm": 6.104276657104492,
"learning_rate": 5.508925312543677e-06,
"loss": 0.5994,
"step": 8500
},
{
"epoch": 3.411675511751327,
"grad_norm": 2.379484176635742,
"learning_rate": 4.921619842123243e-06,
"loss": 0.5959,
"step": 9000
},
{
"epoch": 3.601213040181956,
"grad_norm": 10.061728477478027,
"learning_rate": 4.334314371702808e-06,
"loss": 0.5272,
"step": 9500
},
{
"epoch": 3.7907505686125855,
"grad_norm": 3.485311269760132,
"learning_rate": 3.747008901282373e-06,
"loss": 0.459,
"step": 10000
},
{
"epoch": 3.9802880970432146,
"grad_norm": 2.9593420028686523,
"learning_rate": 3.1597034308619386e-06,
"loss": 0.507,
"step": 10500
},
{
"epoch": 4.0,
"eval_accuracy": 0.9078847611827142,
"eval_loss": 0.606600284576416,
"eval_runtime": 40.7207,
"eval_samples_per_second": 64.783,
"eval_steps_per_second": 4.052,
"step": 10552
},
{
"epoch": 4.169825625473844,
"grad_norm": 0.23257030546665192,
"learning_rate": 2.5723979604415036e-06,
"loss": 0.4614,
"step": 11000
},
{
"epoch": 4.359363153904473,
"grad_norm": 14.897615432739258,
"learning_rate": 1.9850924900210694e-06,
"loss": 0.4487,
"step": 11500
},
{
"epoch": 4.548900682335102,
"grad_norm": 0.1480739712715149,
"learning_rate": 1.3977870196006345e-06,
"loss": 0.4853,
"step": 12000
},
{
"epoch": 4.7384382107657315,
"grad_norm": 0.2928927540779114,
"learning_rate": 8.104815491801998e-07,
"loss": 0.4254,
"step": 12500
},
{
"epoch": 4.927975739196361,
"grad_norm": 0.9608014225959778,
"learning_rate": 2.2317607875976519e-07,
"loss": 0.4395,
"step": 13000
},
{
"epoch": 5.0,
"eval_accuracy": 0.9169825625473844,
"eval_loss": 0.5716663599014282,
"eval_runtime": 40.5807,
"eval_samples_per_second": 65.006,
"eval_steps_per_second": 4.066,
"step": 13190
}
],
"logging_steps": 500,
"max_steps": 13190,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"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": 438076953329664.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": {
"learning_rate": 1.5493118309691066e-05,
"num_train_epochs": 5,
"per_device_train_batch_size": 4,
"seed": 29
}
}