---
license: llama2
base_model: TheBloke/vigogne-2-70B-chat-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Vigogne70b-fans
  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. -->

# Vigogne70b-fans

This model is a fine-tuned version of [TheBloke/vigogne-2-70B-chat-GPTQ](https://huggingface.co/TheBloke/vigogne-2-70B-chat-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9593

## 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: 0.0004
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9503        | 0.02  | 10   | 1.6354          |
| 1.2959        | 0.04  | 20   | 1.2117          |
| 1.2316        | 0.07  | 30   | 1.1256          |
| 1.1742        | 0.09  | 40   | 1.0960          |
| 1.1643        | 0.11  | 50   | 1.0677          |
| 1.0667        | 0.13  | 60   | 1.0449          |
| 1.0232        | 0.15  | 70   | 1.0391          |
| 0.9864        | 0.17  | 80   | 1.0272          |
| 1.0588        | 0.2   | 90   | 1.0206          |
| 0.906         | 0.22  | 100  | 1.0020          |
| 1.098         | 0.24  | 110  | 0.9979          |
| 0.9973        | 0.26  | 120  | 0.9883          |
| 0.9999        | 0.28  | 130  | 1.0002          |
| 1.121         | 0.31  | 140  | 0.9752          |
| 0.9726        | 0.33  | 150  | 0.9722          |
| 1.015         | 0.35  | 160  | 0.9680          |
| 0.8247        | 0.37  | 170  | 0.9664          |
| 0.823         | 0.39  | 180  | 0.9613          |
| 0.8921        | 0.41  | 190  | 0.9607          |
| 1.0024        | 0.44  | 200  | 0.9593          |


### Framework versions

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