finetuned_model2 / trainer_state.json
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{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.9626666666666668,
"eval_steps": 500,
"global_step": 46,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
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"learning_rate": 5e-05,
"loss": 4.7674,
"step": 25
}
],
"logging_steps": 25,
"max_steps": 46,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 250,
"stateful_callbacks": {
"TrainerControl": {
"args": {
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"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.9977835647521664e+16,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}