MaroueneA
Initial commit of my Gradio NLP app
139e538
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.0134228187919465,
"eval_steps": 500,
"global_step": 1500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.67,
"grad_norm": 5.409279823303223,
"learning_rate": 4.161073825503356e-05,
"loss": 0.4761,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.8593023255813953,
"eval_f1": 0.7055961070559611,
"eval_loss": 0.3657611906528473,
"eval_precision": 0.847953216374269,
"eval_recall": 0.6041666666666666,
"eval_runtime": 0.6409,
"eval_samples_per_second": 1341.936,
"eval_steps_per_second": 84.261,
"step": 745
},
{
"epoch": 1.34,
"grad_norm": 8.624994277954102,
"learning_rate": 3.3221476510067115e-05,
"loss": 0.3911,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.8430232558139535,
"eval_f1": 0.7133757961783439,
"eval_loss": 0.40293434262275696,
"eval_precision": 0.7272727272727273,
"eval_recall": 0.7,
"eval_runtime": 0.7138,
"eval_samples_per_second": 1204.827,
"eval_steps_per_second": 75.652,
"step": 1490
},
{
"epoch": 2.01,
"grad_norm": 2.4068655967712402,
"learning_rate": 2.4832214765100674e-05,
"loss": 0.329,
"step": 1500
}
],
"logging_steps": 500,
"max_steps": 2980,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 412170241115040.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}