domain-labeler / trainer_state.json
davidmezzetti's picture
Add model
6f6a301
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 500,
"global_step": 4455,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.3367003367003367,
"grad_norm": 14.949820518493652,
"learning_rate": 4.9978441082243424e-05,
"loss": 1.6348,
"step": 500
},
{
"epoch": 0.3367003367003367,
"eval_accuracy": 0.7818,
"eval_f1": 0.7707654278149872,
"eval_loss": 0.7248653173446655,
"eval_prauc": 0.8471943467878073,
"eval_precision": 0.7777639682274672,
"eval_recall": 0.7818,
"eval_runtime": 6.5782,
"eval_samples_per_second": 760.089,
"eval_steps_per_second": 95.011,
"step": 500
},
{
"epoch": 0.6734006734006734,
"grad_norm": 8.724627494812012,
"learning_rate": 4.7689101828499175e-05,
"loss": 0.6566,
"step": 1000
},
{
"epoch": 0.6734006734006734,
"eval_accuracy": 0.8194,
"eval_f1": 0.8125511449697567,
"eval_loss": 0.5900622606277466,
"eval_prauc": 0.883177875981317,
"eval_precision": 0.8170544867915973,
"eval_recall": 0.8194,
"eval_runtime": 6.2222,
"eval_samples_per_second": 803.57,
"eval_steps_per_second": 100.446,
"step": 1000
},
{
"epoch": 1.0101010101010102,
"grad_norm": 8.932344436645508,
"learning_rate": 4.196084543323817e-05,
"loss": 0.5695,
"step": 1500
},
{
"epoch": 1.0101010101010102,
"eval_accuracy": 0.8298,
"eval_f1": 0.8214116862727279,
"eval_loss": 0.5388458967208862,
"eval_prauc": 0.8942335681618219,
"eval_precision": 0.824507012622034,
"eval_recall": 0.8298,
"eval_runtime": 6.9973,
"eval_samples_per_second": 714.564,
"eval_steps_per_second": 89.32,
"step": 1500
},
{
"epoch": 1.3468013468013469,
"grad_norm": 11.769265174865723,
"learning_rate": 3.366188603986574e-05,
"loss": 0.3954,
"step": 2000
},
{
"epoch": 1.3468013468013469,
"eval_accuracy": 0.832,
"eval_f1": 0.8276523330085487,
"eval_loss": 0.5264924764633179,
"eval_prauc": 0.8980912722084475,
"eval_precision": 0.828413850188029,
"eval_recall": 0.832,
"eval_runtime": 6.9005,
"eval_samples_per_second": 724.583,
"eval_steps_per_second": 90.573,
"step": 2000
},
{
"epoch": 1.6835016835016834,
"grad_norm": 12.866188049316406,
"learning_rate": 2.4050071311561374e-05,
"loss": 0.3735,
"step": 2500
},
{
"epoch": 1.6835016835016834,
"eval_accuracy": 0.843,
"eval_f1": 0.8369456713438264,
"eval_loss": 0.5062804222106934,
"eval_prauc": 0.9023592788997854,
"eval_precision": 0.8391826013500971,
"eval_recall": 0.843,
"eval_runtime": 6.7126,
"eval_samples_per_second": 744.87,
"eval_steps_per_second": 93.109,
"step": 2500
},
{
"epoch": 2.0202020202020203,
"grad_norm": 7.454126834869385,
"learning_rate": 1.4582234342913715e-05,
"loss": 0.3436,
"step": 3000
},
{
"epoch": 2.0202020202020203,
"eval_accuracy": 0.84,
"eval_f1": 0.8369555486562935,
"eval_loss": 0.5169184803962708,
"eval_prauc": 0.9039284056011966,
"eval_precision": 0.8386328079429232,
"eval_recall": 0.84,
"eval_runtime": 6.0064,
"eval_samples_per_second": 832.444,
"eval_steps_per_second": 104.055,
"step": 3000
},
{
"epoch": 2.356902356902357,
"grad_norm": 10.186031341552734,
"learning_rate": 6.693385963821353e-06,
"loss": 0.1677,
"step": 3500
},
{
"epoch": 2.356902356902357,
"eval_accuracy": 0.8408,
"eval_f1": 0.8384862313439404,
"eval_loss": 0.5824030041694641,
"eval_prauc": 0.9009043897343983,
"eval_precision": 0.8396918530177993,
"eval_recall": 0.8408,
"eval_runtime": 7.0427,
"eval_samples_per_second": 709.957,
"eval_steps_per_second": 88.745,
"step": 3500
},
{
"epoch": 2.6936026936026938,
"grad_norm": 8.157699584960938,
"learning_rate": 1.5792145767053622e-06,
"loss": 0.1491,
"step": 4000
},
{
"epoch": 2.6936026936026938,
"eval_accuracy": 0.8422,
"eval_f1": 0.8391634085924852,
"eval_loss": 0.5748035907745361,
"eval_prauc": 0.903134748047534,
"eval_precision": 0.8388717647632293,
"eval_recall": 0.8422,
"eval_runtime": 7.0678,
"eval_samples_per_second": 707.436,
"eval_steps_per_second": 88.429,
"step": 4000
},
{
"epoch": 3.0,
"step": 4455,
"total_flos": 1.1103474080022912e+16,
"train_loss": 0.4963774555861348,
"train_runtime": 674.1321,
"train_samples_per_second": 422.766,
"train_steps_per_second": 6.608
},
{
"epoch": 3.0,
"eval_accuracy": 0.8426,
"eval_f1": 0.8397110808761383,
"eval_loss": 0.5739430785179138,
"eval_prauc": 0.9033464177917727,
"eval_precision": 0.8396082701885788,
"eval_recall": 0.8426,
"eval_runtime": 6.1808,
"eval_samples_per_second": 808.953,
"eval_steps_per_second": 101.119,
"step": 4455
}
],
"logging_steps": 500,
"max_steps": 4455,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": false,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1.1103474080022912e+16,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}