---
base_model: vinai/phobert-base
tags:
- generated_from_trainer
model-index:
- name: CS505-Classifier-T4_predictLabel_a1
  results: []
---

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# CS505-Classifier-T4_predictLabel_a1

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: 0.1123

## 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: 32
- eval_batch_size: 8
- seed: 42
- 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        | 0.98  | 48   | 1.0265          |
| No log        | 1.96  | 96   | 0.5901          |
| No log        | 2.94  | 144  | 0.3601          |
| No log        | 3.92  | 192  | 0.2500          |
| No log        | 4.9   | 240  | 0.2089          |
| No log        | 5.88  | 288  | 0.1765          |
| No log        | 6.86  | 336  | 0.1441          |
| No log        | 7.84  | 384  | 0.1320          |
| No log        | 8.82  | 432  | 0.1174          |
| No log        | 9.8   | 480  | 0.1123          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2