---
library_name: transformers
license: mit
base_model: vinai/phobert-base
tags:
- generated_from_trainer
model-index:
- name: Model
  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. -->

# Model

This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4924

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 347  | 3.4224          |
| 0.0766        | 2.0   | 694  | 3.0937          |
| 0.0569        | 3.0   | 1041 | 3.4725          |
| 0.0569        | 4.0   | 1388 | 3.3484          |
| 0.0365        | 5.0   | 1735 | 3.5406          |
| 0.0364        | 6.0   | 2082 | 3.3922          |
| 0.0364        | 7.0   | 2429 | 3.2977          |
| 0.0353        | 8.0   | 2776 | 3.3093          |
| 0.0136        | 9.0   | 3123 | 3.5960          |
| 0.0136        | 10.0  | 3470 | 3.5143          |
| 0.0249        | 11.0  | 3817 | 3.5032          |
| 0.0156        | 12.0  | 4164 | 3.5010          |
| 0.0154        | 13.0  | 4511 | 3.4902          |
| 0.0154        | 14.0  | 4858 | 3.5322          |
| 0.0116        | 15.0  | 5205 | 3.4929          |
| 0.0066        | 16.0  | 5552 | 3.5660          |
| 0.0066        | 17.0  | 5899 | 3.5789          |
| 0.0053        | 18.0  | 6246 | 3.5614          |
| 0.003         | 19.0  | 6593 | 3.5579          |
| 0.003         | 20.0  | 6940 | 3.5902          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 2.16.1
- Tokenizers 0.21.0