---
license: llama2
base_model: bofenghuang/vigogne-2-70b-chat
tags:
- generated_from_trainer
model-index:
- name: PointCon-vigogne-2-70b-chat-3
  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. -->

# PointCon-vigogne-2-70b-chat-3

This model is a fine-tuned version of [bofenghuang/vigogne-2-70b-chat](https://huggingface.co/bofenghuang/vigogne-2-70b-chat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5719

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8556        | 0.05  | 30   | 1.7646          |
| 1.6805        | 0.1   | 60   | 1.6982          |
| 1.646         | 0.15  | 90   | 1.6679          |
| 1.5978        | 0.19  | 120  | 1.6567          |
| 1.6003        | 0.24  | 150  | 1.6437          |
| 1.5975        | 0.29  | 180  | 1.6339          |
| 1.5917        | 0.34  | 210  | 1.6264          |
| 1.5579        | 0.39  | 240  | 1.6111          |
| 1.5888        | 0.44  | 270  | 1.6022          |
| 1.5763        | 0.49  | 300  | 1.5966          |
| 1.5102        | 0.54  | 330  | 1.5938          |
| 1.5611        | 0.58  | 360  | 1.5877          |
| 1.6063        | 0.63  | 390  | 1.5869          |
| 1.5641        | 0.68  | 420  | 1.5870          |
| 1.5615        | 0.73  | 450  | 1.5808          |
| 1.4644        | 0.78  | 480  | 1.5761          |
| 1.4924        | 0.83  | 510  | 1.5750          |
| 1.5644        | 0.88  | 540  | 1.5735          |
| 1.5498        | 0.93  | 570  | 1.5726          |
| 1.5179        | 0.97  | 600  | 1.5719          |


### Framework versions

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