GRAG-BGE-M3-Pairs-Basic-Autotrain-v5 / training_params.json
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{
"data_path": "MR-Eder/embedding-pairs",
"model": "BAAI/bge-m3",
"lr": 2e-05,
"epochs": 1,
"max_seq_length": 8192,
"batch_size": 4,
"warmup_ratio": 0.1,
"gradient_accumulation": 4,
"optimizer": "adamw_torch",
"scheduler": "linear",
"weight_decay": 0.0,
"max_grad_norm": 1.0,
"seed": 42,
"train_split": "train",
"valid_split": null,
"logging_steps": -1,
"project_name": "GRAG-BGE-M3-Pairs-Basic-Autotrain-v5",
"auto_find_batch_size": false,
"mixed_precision": "bf16",
"save_total_limit": 1,
"push_to_hub": true,
"eval_strategy": "epoch",
"username": "MR-Eder",
"log": "tensorboard",
"early_stopping_patience": 5,
"early_stopping_threshold": 0.01,
"trainer": "pair",
"sentence1_column": "query",
"sentence2_column": "context",
"sentence3_column": "sentence3",
"target_column": "target"
}