chess-sft-lora-adapter / trainer_state.json
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End of training
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{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 500,
"global_step": 408,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
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"step": 408,
"total_flos": 1.5770782755979264e+16,
"train_loss": 0.6231819227630017,
"train_runtime": 792.1227,
"train_samples_per_second": 2.053,
"train_steps_per_second": 0.515
}
],
"logging_steps": 500,
"max_steps": 408,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.5770782755979264e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}