---
license: llama2
base_model: bofenghuang/vigogne-2-70b-chat
tags:
- generated_from_trainer
model-index:
- name: PointCon-vigogne-2-70b-chat-3
  results: []
---

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# 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:
- eval_loss: 1.7526
- eval_runtime: 116.2987
- eval_samples_per_second: 0.361
- eval_steps_per_second: 0.361
- epoch: 1.2
- step: 150

## 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: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1