code-llama-7b-chatbot
This model, 'mkschulz9/code-llama-7b-chatbot,' is a fine-tuned version of 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.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 9
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for mkschulz9/code-llama-7b-chatbot
Base model
codellama/CodeLlama-7b-hf