File size: 1,798 Bytes
f39bdb1 |
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 |
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 1000,
"global_step": 2758,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00036258158085569254,
"grad_norm": 7.228061676025391,
"learning_rate": 0.0,
"loss": 4.1707,
"step": 1
},
{
"epoch": 0.36258158085569253,
"grad_norm": 5.762327194213867,
"learning_rate": 3.018126888217523e-06,
"loss": 3.7074,
"step": 1000
},
{
"epoch": 0.36258158085569253,
"eval_cosine_accuracy": 0.943001389503479,
"eval_loss": 0.5847920179367065,
"eval_runtime": 35.6274,
"eval_samples_per_second": 266.902,
"eval_steps_per_second": 1.067,
"step": 1000
},
{
"epoch": 0.7251631617113851,
"grad_norm": 7.7132134437561035,
"learning_rate": 6.0392749244713e-06,
"loss": 2.5733,
"step": 2000
},
{
"epoch": 0.7251631617113851,
"eval_cosine_accuracy": 0.9467872381210327,
"eval_loss": 0.5230411887168884,
"eval_runtime": 35.5129,
"eval_samples_per_second": 267.762,
"eval_steps_per_second": 1.07,
"step": 2000
}
],
"logging_steps": 1000,
"max_steps": 16548,
"num_input_tokens_seen": 0,
"num_train_epochs": 6,
"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": 0.0,
"train_batch_size": 256,
"trial_name": null,
"trial_params": null
}
|