Upload fine-tuned LoRA adapters
Browse files- adapters/adapter_config.json +40 -0
adapters/adapter_config.json
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{
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"adapter_path": "./adapters",
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"batch_size": 2,
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"config": null,
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"data": "./data",
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"fine_tune_type": "lora",
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"grad_accumulation_steps": 1,
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"grad_checkpoint": false,
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"iters": 1000,
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"learning_rate": 1e-05,
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"lora_parameters": {
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"rank": 8,
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"dropout": 0.0,
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"scale": 20.0
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},
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"lr_schedule": null,
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"mask_prompt": false,
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"max_seq_length": 2048,
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"model": "mistralai/Mistral-7B-v0.1",
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"num_layers": 16,
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"optimizer": "adam",
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"optimizer_config": {
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"adam": {},
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"adamw": {},
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"muon": {},
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"sgd": {},
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"adafactor": {}
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},
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"project_name": null,
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"report_to": null,
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"resume_adapter_file": null,
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"save_every": 100,
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"seed": 0,
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"steps_per_eval": 50,
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"steps_per_report": 10,
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"test": false,
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"test_batches": 500,
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"train": true,
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"val_batches": 25
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}
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