---
tags:
- generated_from_trainer
model-index:
- name: phobert_notaugmentation
  results: []
---

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# phobert_notaugmentation

This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4768

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5387        | 1.0   | 992  | 1.1605          |
| 1.2971        | 2.0   | 1984 | 0.8465          |
| 0.976         | 3.0   | 2976 | 0.6289          |
| 0.7925        | 4.0   | 3968 | 0.5237          |
| 0.6846        | 5.0   | 4960 | 0.4768          |


### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2