---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: Llama-2-code-python
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-2-code-python

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0589

## 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: 2e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.612         | 0.3183 | 30   | 1.6686          |
| 1.4094        | 0.6366 | 60   | 1.4388          |
| 1.2172        | 0.9549 | 90   | 1.2583          |
| 1.0647        | 1.2732 | 120  | 1.1357          |
| 1.0144        | 1.5915 | 150  | 1.0771          |
| 1.0622        | 1.9098 | 180  | 1.0643          |
| 1.045         | 2.2281 | 210  | 1.0599          |
| 1.0739        | 2.5464 | 240  | 1.0588          |
| 1.0306        | 2.8647 | 270  | 1.0589          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1