Daedalus_1 / training_args.json
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{
"output_dir": "./results",
"overwrite_output_dir": True,
"max_steps": 200000,
"per_device_train_batch_size": 32,
"per_device_eval_batch_size": 32,
"gradient_accumulation_steps": 1,
"learning_rate": 0.0001,
"weight_decay": 0.0,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-08,
"max_grad_norm": 1.0,
"num_train_epochs": 20,
"warmup_steps": 500,
"logging_steps": 1000,
"save_steps": 5000,
"eval_steps": 5000,
"load_best_model_at_end": True,
"metric_for_best_model": "eval_loss",
"greater_is_better": False,
"fp16": True,
"fp16_backend": "auto",
"seed": 42
}