finetuned_14_12 / checkpoint-25 /trainer_state.json
ImNotTam's picture
Upload full training folder with all checkpoints
f3faffc verified
{
"best_global_step": 25,
"best_metric": 0.03038608841598034,
"best_model_checkpoint": "/teamspace/studios/this_studio/DATN/output/medgemma_finetuned/checkpoint-25",
"epoch": 0.9732360097323601,
"eval_steps": 25,
"global_step": 25,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.38929440389294406,
"grad_norm": 1.2837750911712646,
"learning_rate": 4.996738892723075e-05,
"loss": 0.8966,
"step": 10
},
{
"epoch": 0.7785888077858881,
"grad_norm": 0.10671953856945038,
"learning_rate": 4.8834909801373264e-05,
"loss": 0.0379,
"step": 20
},
{
"epoch": 0.9732360097323601,
"eval_loss": 0.03038608841598034,
"eval_runtime": 122.1467,
"eval_samples_per_second": 0.418,
"eval_steps_per_second": 0.213,
"step": 25
}
],
"logging_steps": 10,
"max_steps": 130,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 30,
"early_stopping_threshold": 0.0001
},
"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": 3.939970802573222e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}