File size: 2,092 Bytes
2803ec7 |
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 |
{
"best_metric": 4.5262579917907715,
"best_model_checkpoint": "../experiments/attribute_minig_mslacerda/run-9/checkpoint-66",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 66,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.012012012012012012,
"eval_f1": 0.0031978072179077205,
"eval_loss": 4.749619007110596,
"eval_precision": 0.002532561505065123,
"eval_recall": 0.004337050805452293,
"eval_runtime": 0.3642,
"eval_samples_per_second": 799.034,
"eval_steps_per_second": 101.595,
"step": 22
},
{
"epoch": 2.0,
"eval_accuracy": 0.03333333333333333,
"eval_f1": 0.003970223325062034,
"eval_loss": 4.679495334625244,
"eval_precision": 0.0033112582781456954,
"eval_recall": 0.004956629491945477,
"eval_runtime": 0.8425,
"eval_samples_per_second": 345.396,
"eval_steps_per_second": 43.916,
"step": 44
},
{
"epoch": 3.0,
"eval_accuracy": 0.05795795795795796,
"eval_f1": 0.0071546505228398454,
"eval_loss": 4.5262579917907715,
"eval_precision": 0.006435643564356435,
"eval_recall": 0.0080545229244114,
"eval_runtime": 0.361,
"eval_samples_per_second": 806.114,
"eval_steps_per_second": 102.496,
"step": 66
}
],
"logging_steps": 500,
"max_steps": 264,
"num_input_tokens_seen": 0,
"num_train_epochs": 12,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 0,
"train_batch_size": 64,
"trial_name": null,
"trial_params": {
"learning_rate": 3.901404269366272e-05,
"num_train_epochs": 12,
"per_device_train_batch_size": 64,
"warmup_steps": 368,
"weight_decay": 0.16924253041207893
}
}
|