Tweet-Classifier / checkpoint-12 /trainer_state.json
CamiloVega's picture
Upload folder using huggingface_hub
be97bea verified
raw
history blame contribute delete
No virus
3.64 kB
{
"best_metric": 1.1234140396118164,
"best_model_checkpoint": "autotrain-Tweet-Classifier/checkpoint-12",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 12,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.17,
"grad_norm": 12.977298736572266,
"learning_rate": 2.5e-05,
"loss": 1.0989,
"step": 1
},
{
"epoch": 0.33,
"grad_norm": 5.110796928405762,
"learning_rate": 5e-05,
"loss": 1.0898,
"step": 2
},
{
"epoch": 0.5,
"grad_norm": 6.790207862854004,
"learning_rate": 4.6875e-05,
"loss": 0.9728,
"step": 3
},
{
"epoch": 0.67,
"grad_norm": 9.658609390258789,
"learning_rate": 4.375e-05,
"loss": 1.3658,
"step": 4
},
{
"epoch": 0.83,
"grad_norm": 9.872339248657227,
"learning_rate": 4.0625000000000005e-05,
"loss": 1.3639,
"step": 5
},
{
"epoch": 1.0,
"grad_norm": 17.13404655456543,
"learning_rate": 3.7500000000000003e-05,
"loss": 1.5233,
"step": 6
},
{
"epoch": 1.0,
"eval_accuracy": 0.36363636363636365,
"eval_f1_macro": 0.17777777777777778,
"eval_f1_micro": 0.36363636363636365,
"eval_f1_weighted": 0.19393939393939394,
"eval_loss": 1.1655577421188354,
"eval_precision_macro": 0.12121212121212122,
"eval_precision_micro": 0.36363636363636365,
"eval_precision_weighted": 0.1322314049586777,
"eval_recall_macro": 0.3333333333333333,
"eval_recall_micro": 0.36363636363636365,
"eval_recall_weighted": 0.36363636363636365,
"eval_runtime": 2.0574,
"eval_samples_per_second": 5.346,
"eval_steps_per_second": 0.486,
"step": 6
},
{
"epoch": 1.17,
"grad_norm": 15.478323936462402,
"learning_rate": 3.4375e-05,
"loss": 1.2839,
"step": 7
},
{
"epoch": 1.33,
"grad_norm": 8.981595039367676,
"learning_rate": 3.125e-05,
"loss": 1.1181,
"step": 8
},
{
"epoch": 1.5,
"grad_norm": 8.584152221679688,
"learning_rate": 2.8125000000000003e-05,
"loss": 1.166,
"step": 9
},
{
"epoch": 1.67,
"grad_norm": 4.148137092590332,
"learning_rate": 2.5e-05,
"loss": 1.0376,
"step": 10
},
{
"epoch": 1.83,
"grad_norm": 5.527700424194336,
"learning_rate": 2.1875e-05,
"loss": 0.9684,
"step": 11
},
{
"epoch": 2.0,
"grad_norm": 17.105709075927734,
"learning_rate": 1.8750000000000002e-05,
"loss": 0.7871,
"step": 12
},
{
"epoch": 2.0,
"eval_accuracy": 0.36363636363636365,
"eval_f1_macro": 0.17777777777777778,
"eval_f1_micro": 0.36363636363636365,
"eval_f1_weighted": 0.19393939393939394,
"eval_loss": 1.1234140396118164,
"eval_precision_macro": 0.12121212121212122,
"eval_precision_micro": 0.36363636363636365,
"eval_precision_weighted": 0.1322314049586777,
"eval_recall_macro": 0.3333333333333333,
"eval_recall_micro": 0.36363636363636365,
"eval_recall_weighted": 0.36363636363636365,
"eval_runtime": 2.0537,
"eval_samples_per_second": 5.356,
"eval_steps_per_second": 0.487,
"step": 12
}
],
"logging_steps": 1,
"max_steps": 18,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 5788495190016.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}