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# codellama_function_calling_instruct

This model is a fine-tuned version of [codellama/CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3684

## 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3484        | 1.0   | 3613 | 0.3684          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "llama2", "library_name": "peft", "tags": ["trl-sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-13b-Instruct-hf", "model-index": [{"name": "codellama_function_calling_instruct", "results": []}]}
peft tensorboard safetensors trl-sft generated_from_trainer dataset:generator base_model:codellama/CodeLlama-13b-Instruct-hf license:llama2 region:us