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

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# sawyer-llama-2

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6080

## 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: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3521        | 1.0   | 446  | 1.2259          |
| 1.4185        | 2.0   | 892  | 1.2080          |
| 1.1195        | 3.0   | 1338 | 1.2291          |
| 0.9606        | 4.0   | 1784 | 1.2634          |
| 0.7691        | 5.0   | 2230 | 1.3193          |
| 0.8449        | 6.0   | 2676 | 1.3843          |
| 0.6701        | 7.0   | 3122 | 1.4593          |
| 0.5451        | 8.0   | 3568 | 1.5175          |
| 0.5712        | 9.0   | 4014 | 1.5782          |
| 0.6186        | 10.0  | 4460 | 1.6080          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1