| --- |
| license: llama2 |
| base_model: meta-llama/CodeLlama-7b-Instruct-hf |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Results |
| results: [] |
| library_name: peft |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Results |
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| This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf) on an unknown dataset. |
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| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| The following `bitsandbytes` quantization config was used during training: |
| - quant_method: bitsandbytes |
| - _load_in_8bit: False |
| - _load_in_4bit: True |
| - llm_int8_threshold: 6.0 |
| - llm_int8_skip_modules: None |
| - llm_int8_enable_fp32_cpu_offload: False |
| - llm_int8_has_fp16_weight: False |
| - bnb_4bit_quant_type: nf4 |
| - bnb_4bit_use_double_quant: False |
| - bnb_4bit_compute_dtype: float16 |
| - load_in_4bit: True |
| - load_in_8bit: False |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - lr_scheduler_warmup_ratio: 0.03 |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
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| ### Training results |
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| ### Framework versions |
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| - PEFT 0.5.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 3.0.0 |
| - Tokenizers 0.15.2 |
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