---
license: llama2
base_model: TheBloke/vigogne-2-70B-chat-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Vigogne70b-ass-fan
  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-ass-fan

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: 0.8725

## 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: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.09  | 40   | 1.0751          |
| No log        | 0.17  | 80   | 0.9983          |
| No log        | 0.26  | 120  | 0.9894          |
| No log        | 0.35  | 160  | 0.9468          |
| No log        | 0.44  | 200  | 0.9348          |
| No log        | 0.52  | 240  | 0.9185          |
| No log        | 0.61  | 280  | 0.9027          |
| No log        | 0.7   | 320  | 0.8952          |
| No log        | 0.78  | 360  | 0.8924          |
| No log        | 0.87  | 400  | 0.8806          |
| No log        | 0.96  | 440  | 0.8769          |
| No log        | 1.05  | 480  | 0.8725          |


### Framework versions

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