---
base_model: vinai/phobert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: checkpoint
  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. -->

# checkpoint

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: 1.1674
- Accuracy: 0.4286

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 7    | 1.3602          | 0.5714   |
| No log        | 2.0   | 14   | 1.3269          | 0.5714   |
| No log        | 3.0   | 21   | 1.2438          | 0.2857   |
| No log        | 4.0   | 28   | 1.1971          | 0.4286   |
| No log        | 5.0   | 35   | 1.2036          | 0.2857   |
| No log        | 6.0   | 42   | 1.1996          | 0.2857   |
| No log        | 7.0   | 49   | 1.1651          | 0.4286   |
| No log        | 8.0   | 56   | 1.1406          | 0.4286   |
| No log        | 9.0   | 63   | 1.1620          | 0.4286   |
| No log        | 10.0  | 70   | 1.1674          | 0.4286   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3