File size: 2,112 Bytes
513445d |
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": 50,
"best_metric": 1.456114411354065,
"best_model_checkpoint": "./llama3-medical-ner-lora/checkpoint-50",
"epoch": 0.3333333333333333,
"eval_steps": 50,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.06666666666666667,
"grad_norm": 0.7053351402282715,
"learning_rate": 0.00012857142857142858,
"loss": 2.4398,
"step": 10
},
{
"epoch": 0.13333333333333333,
"grad_norm": 0.46818673610687256,
"learning_rate": 0.0001999351082025363,
"loss": 1.6867,
"step": 20
},
{
"epoch": 0.2,
"grad_norm": 0.34885916113853455,
"learning_rate": 0.00019941647902696973,
"loss": 1.5225,
"step": 30
},
{
"epoch": 0.26666666666666666,
"grad_norm": 0.3406175374984741,
"learning_rate": 0.0001983819121846225,
"loss": 1.5177,
"step": 40
},
{
"epoch": 0.3333333333333333,
"grad_norm": 0.3779544532299042,
"learning_rate": 0.00019683677672505253,
"loss": 1.5086,
"step": 50
},
{
"epoch": 0.3333333333333333,
"eval_loss": 1.456114411354065,
"eval_runtime": 27.5139,
"eval_samples_per_second": 10.904,
"eval_steps_per_second": 2.726,
"step": 50
}
],
"logging_steps": 10,
"max_steps": 450,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 50,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 3,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 6939343894118400.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}
|