code-completion / trainer_state.json
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Add fine-tuned code completion model
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{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 100,
"global_step": 2,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"step": 2,
"total_flos": 10510947638400.0,
"train_loss": 8.06908130645752,
"train_runtime": 1.9114,
"train_samples_per_second": 13.08,
"train_steps_per_second": 1.046
}
],
"logging_steps": 100,
"max_steps": 2,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 500,
"total_flos": 10510947638400.0,
"train_batch_size": 48,
"trial_name": null,
"trial_params": null
}