---
base_model: VietAI/gpt-neo-1.3B-vietnamese-news
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: vimo-1.3B
  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. -->

# vimo-1.3B

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0732

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 512
- total_train_batch_size: 1024
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0784        | 1.0   | 792  | 1.0781          |
| 1.0578        | 1.1   | 872  | 1.0732          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2