cls2.0 / training_params.json
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{
"data_path": "autotrain-z9wst-apic1/autotrain-data",
"model": "microsoft/deberta-v3-base",
"lr": 5e-05,
"epochs": 1,
"max_seq_length": 256,
"batch_size": 32,
"warmup_ratio": 0.1,
"gradient_accumulation": 1,
"optimizer": "adamw_torch",
"scheduler": "cosine",
"weight_decay": 0.0,
"max_grad_norm": 1.0,
"seed": 42,
"train_split": "train",
"valid_split": "validation",
"text_column": "autotrain_text",
"target_column": "autotrain_label",
"logging_steps": -1,
"project_name": "autotrain-z9wst-apic1",
"auto_find_batch_size": false,
"mixed_precision": "fp16",
"save_total_limit": 1,
"push_to_hub": true,
"eval_strategy": "epoch",
"username": "assaflehr",
"log": "tensorboard",
"early_stopping_patience": 5,
"early_stopping_threshold": 0.01
}