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--- |
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base_model: codellama/CodeLlama-7b-hf |
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library_name: peft |
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license: llama2 |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: code-llama-7b-chatbot |
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results: [] |
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pipeline_tag: text-generation |
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--- |
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# code-llama-7b-chatbot |
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This model, 'mkschulz9/code-llama-7b-chatbot,' is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf), fine-tuned on a custom, QA-style dataset. It utilizes advanced techniques like LoRA and precision optimization with BitsAndBytes for efficient performance. The model is designed to answer questions about Matthew Schulz's educational background, work experience, and hobbies/interests. |
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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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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 9 |
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### Training results |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
