---
base_model: NlpHUST/gpt2-vietnamese
tags:
- generated_from_trainer
model-index:
- name: pretrain-gpt2-large
  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. -->

# pretrain-gpt2-large

This model is a fine-tuned version of [NlpHUST/gpt2-vietnamese](https://huggingface.co/NlpHUST/gpt2-vietnamese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4155

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 70

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0875        | 13.05 | 500  | 2.6828          |
| 2.5739        | 26.1  | 1000 | 2.5363          |
| 2.4573        | 39.15 | 1500 | 2.4643          |
| 2.3962        | 52.2  | 2000 | 2.4294          |
| 2.3662        | 65.25 | 2500 | 2.4155          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3