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

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

This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5181

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.0113        | 0.08  | 5    | 4.2401          |
| 3.9501        | 0.17  | 10   | 3.5159          |
| 3.5429        | 0.25  | 15   | 2.8638          |
| 2.4329        | 0.34  | 20   | 2.2028          |
| 1.9968        | 0.42  | 25   | 1.4709          |
| 1.3706        | 0.5   | 30   | 1.0854          |
| 0.9502        | 0.59  | 35   | 0.8431          |
| 0.7835        | 0.67  | 40   | 0.6751          |
| 0.7254        | 0.76  | 45   | 0.6131          |
| 0.5724        | 0.84  | 50   | 0.5480          |
| 0.5966        | 0.92  | 55   | 0.5181          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1