---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: llama-7b-orca
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# llama-7b-orca

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: 1.4944

## 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: 5e-05
- 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: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6959        | 0.08  | 200  | 1.6441          |
| 1.6234        | 0.17  | 400  | 1.5693          |
| 1.5931        | 0.25  | 600  | 1.5452          |
| 1.5003        | 0.34  | 800  | 1.5316          |
| 1.5346        | 0.42  | 1000 | 1.5209          |
| 1.5026        | 0.51  | 1200 | 1.5123          |
| 1.5608        | 0.59  | 1400 | 1.5059          |
| 1.5332        | 0.68  | 1600 | 1.5009          |
| 1.5209        | 0.76  | 1800 | 1.4970          |
| 1.4955        | 0.85  | 2000 | 1.4944          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3