File size: 2,147 Bytes
2e201a8 | 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 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 | {
"best_global_step": 249,
"best_metric": 0.24590285122394562,
"best_model_checkpoint": "./math_ner_roberta/checkpoint-249",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 249,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.6024096385542169,
"grad_norm": 4.988605499267578,
"learning_rate": 2.4096385542168674e-05,
"loss": 1.4176820373535157,
"step": 50
},
{
"epoch": 1.0,
"eval_loss": 0.3655608594417572,
"eval_runtime": 3.3968,
"eval_samples_per_second": 68.595,
"eval_steps_per_second": 4.416,
"step": 83
},
{
"epoch": 1.2048192771084336,
"grad_norm": 18.059431076049805,
"learning_rate": 1.807228915662651e-05,
"loss": 0.5126217651367188,
"step": 100
},
{
"epoch": 1.8072289156626506,
"grad_norm": 7.703867435455322,
"learning_rate": 1.2048192771084337e-05,
"loss": 0.48525764465332033,
"step": 150
},
{
"epoch": 2.0,
"eval_loss": 0.262949675321579,
"eval_runtime": 3.348,
"eval_samples_per_second": 69.594,
"eval_steps_per_second": 4.48,
"step": 166
},
{
"epoch": 2.4096385542168672,
"grad_norm": 7.324942111968994,
"learning_rate": 6.024096385542168e-06,
"loss": 0.29950580596923826,
"step": 200
},
{
"epoch": 3.0,
"eval_loss": 0.24590285122394562,
"eval_runtime": 3.3559,
"eval_samples_per_second": 69.431,
"eval_steps_per_second": 4.47,
"step": 249
}
],
"logging_steps": 50,
"max_steps": 249,
"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": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 751976629790400.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}
|