File size: 1,649 Bytes
2df4513 | 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 | {
"best_metric": 0.7415592387968079,
"best_model_checkpoint": "BERTForDetectingDepression-Twitter2015/run-1/checkpoint-69",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 69,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.6642111724984653,
"eval_loss": 0.6271333694458008,
"eval_runtime": 1.4666,
"eval_samples_per_second": 1110.761,
"eval_steps_per_second": 69.55,
"step": 23
},
{
"epoch": 2.0,
"eval_accuracy": 0.7188459177409454,
"eval_loss": 0.5219240784645081,
"eval_runtime": 1.5,
"eval_samples_per_second": 1085.998,
"eval_steps_per_second": 68.0,
"step": 46
},
{
"epoch": 3.0,
"eval_accuracy": 0.7415592387968079,
"eval_loss": 0.47888997197151184,
"eval_runtime": 1.4904,
"eval_samples_per_second": 1092.984,
"eval_steps_per_second": 68.437,
"step": 69
}
],
"logging_steps": 500,
"max_steps": 115,
"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": false
},
"attributes": {}
}
},
"total_flos": 0,
"train_batch_size": 64,
"trial_name": null,
"trial_params": {
"learning_rate": 6.9782836266139365e-06,
"num_train_epochs": 5,
"per_device_train_batch_size": 64,
"seed": 14
}
}
|