---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-GPT_paraphrase_CSI-PhoBERT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# CS505-GPT_paraphrase_CSI-PhoBERT

This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0006

## 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: 8
- seed: 41
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 356  | 0.1610          |
| 0.2866        | 1.99  | 712  | 0.1031          |
| 0.158         | 2.99  | 1068 | 0.0635          |
| 0.158         | 3.99  | 1424 | 0.0436          |
| 0.0931        | 4.99  | 1780 | 0.0264          |
| 0.0572        | 5.98  | 2136 | 0.0193          |
| 0.0572        | 6.98  | 2492 | 0.0128          |
| 0.0302        | 7.98  | 2848 | 0.0110          |
| 0.0203        | 8.97  | 3204 | 0.0073          |
| 0.0139        | 9.97  | 3560 | 0.0051          |
| 0.0139        | 10.97 | 3916 | 0.0040          |
| 0.0115        | 11.97 | 4272 | 0.0037          |
| 0.0086        | 12.96 | 4628 | 0.0020          |
| 0.0086        | 13.96 | 4984 | 0.0016          |
| 0.0055        | 14.96 | 5340 | 0.0006          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2