---
library_name: peft
tags:
- generated_from_trainer
base_model: VietAI/gpt-neo-1.3B-vietnamese-news
model-index:
- name: gpt-neo-1.3B-vietnamese-news_model_kaggle_test
  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-1.3B-vietnamese-news_model_kaggle_test

This model is a fine-tuned version of [VietAI/gpt-neo-1.3B-vietnamese-news](https://huggingface.co/VietAI/gpt-neo-1.3B-vietnamese-news) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1194

## 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: 4e-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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 15   | 4.1718          |
| No log        | 2.0   | 30   | 3.6789          |
| No log        | 3.0   | 45   | 3.2484          |
| No log        | 4.0   | 60   | 2.8954          |
| No log        | 5.0   | 75   | 2.6081          |
| No log        | 6.0   | 90   | 2.3656          |
| No log        | 7.0   | 105  | 2.1602          |
| No log        | 8.0   | 120  | 1.9739          |
| No log        | 9.0   | 135  | 1.8137          |
| No log        | 10.0  | 150  | 1.6778          |
| No log        | 11.0  | 165  | 1.5595          |
| No log        | 12.0  | 180  | 1.4598          |
| No log        | 13.0  | 195  | 1.3742          |
| No log        | 14.0  | 210  | 1.3033          |
| No log        | 15.0  | 225  | 1.2446          |
| No log        | 16.0  | 240  | 1.1988          |
| No log        | 17.0  | 255  | 1.1638          |
| No log        | 18.0  | 270  | 1.1392          |
| No log        | 19.0  | 285  | 1.1243          |
| No log        | 20.0  | 300  | 1.1194          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2