Mistral-Adastra-IA3 / training_parameters.json
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{
"adapter_name": "testadapter2",
"always_override": true,
"save_steps": 0.0,
"micro_batch_size": 1,
"batch_size": 0,
"epochs": 1.0,
"learning_rate": "1e-2",
"lr_scheduler_type": "linear",
"cutoff_len": 512,
"dataset": "None",
"eval_dataset": "None",
"format": "None",
"eval_steps": 100.0,
"raw_text_file": "Adastra2",
"warmup_steps": 64.0,
"optimizer": "adafactor",
"hard_cut_string": "\\n\\n\\n",
"train_only_after": "",
"stop_at_loss": 0,
"add_eos_token": true,
"min_chars": 0.0,
"report_to": "None",
"precize_slicing_overlap": true,
"add_eos_token_type": "Every Block",
"save_steps_under_loss": 1.8,
"add_bos_token": true,
"training_projection": "all",
"sliding_window": true,
"warmup_ratio": 0,
"grad_accumulation": 8,
"lora_rank": 32,
"lora_alpha": 64,
"lora_dropout": 0.05,
"higher_rank_limit": false,
"adalora_rank": 32,
"adalora_alpha": 64,
"adalora_dropout": 0.05,
"adalora_higher_rank_limit": false,
"adapter_type": "ia3"
}