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Fine-tuned model with QALoRA

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: llama2
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+ base_model: TheBloke/Llama-2-13b-GPTQ
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+ tags:
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+ - base_model:adapter:TheBloke/Llama-2-13b-GPTQ
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+ - lora
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+ - transformers
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: adapter
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # adapter
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+
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+ This model is a fine-tuned version of [TheBloke/Llama-2-13b-GPTQ](https://huggingface.co/TheBloke/Llama-2-13b-GPTQ) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 16
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.17.0
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+ - Transformers 4.56.0.dev0
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+ - Pytorch 2.8.0.dev20250627+xpu
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.2
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