---
base_model: NghiemAbe/gpt-neo-vi-small-v5
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-vi-small-v6
  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. -->

# gpt-neo-vi-small-v6

This model is a fine-tuned version of [NlpHUST/gpt-neo-vi-small](https://huggingface.co/NlpHUST/gpt-neo-vi-small) on an [ViQuad](https://huggingface.co/datasets/NghiemAbe/viquad) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4156

## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3849        | 0.1   | 25   | 0.5802          |
| 0.3747        | 0.19  | 50   | 0.5680          |
| 0.3843        | 0.29  | 75   | 0.5695          |
| 0.4016        | 0.39  | 100  | 0.5782          |
| 0.4101        | 0.49  | 125  | 0.5563          |
| 0.4011        | 0.58  | 150  | 0.5162          |
| 0.3729        | 0.68  | 175  | 0.4888          |
| 0.3512        | 0.78  | 200  | 0.4544          |
| 0.316         | 0.88  | 225  | 0.4319          |
| 0.3126        | 0.97  | 250  | 0.4156          |


### Framework versions

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