---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-L2T_AP1_CSI-PhoBERT
  results: []
---

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# CS505-L2T_AP1_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: 0.0045

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 333  | 0.2105          |
| 0.2803        | 1.99  | 666  | 0.1425          |
| 0.2803        | 2.99  | 999  | 0.0768          |
| 0.149         | 3.99  | 1332 | 0.0577          |
| 0.0771        | 4.99  | 1665 | 0.0252          |
| 0.0771        | 5.98  | 1998 | 0.0281          |
| 0.0443        | 6.98  | 2331 | 0.0089          |
| 0.0196        | 7.98  | 2664 | 0.0053          |
| 0.0196        | 8.97  | 2997 | 0.0072          |
| 0.0124        | 9.97  | 3330 | 0.0045          |


### Framework versions

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