---
base_model: NousResearch/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: peftllama
  results: []
---

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# peftllama

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7050

## 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: 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_steps: 0.03
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.0   | 20   | 1.7986          |
| No log        | 0.0   | 40   | 1.7814          |
| 1.8763        | 0.0   | 60   | 1.7720          |
| 1.8763        | 0.01  | 80   | 1.7641          |
| 1.8826        | 0.01  | 100  | 1.7582          |
| 1.8826        | 0.01  | 120  | 1.7520          |
| 1.8826        | 0.01  | 140  | 1.7459          |
| 1.8864        | 0.01  | 160  | 1.7367          |
| 1.8864        | 0.01  | 180  | 1.7132          |
| 1.833         | 0.01  | 200  | 1.7050          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0