---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: phobert-base-v2-finetuned-cola
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phobert-base-v2-finetuned-cola

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: 0.2267
- Matthews Correlation: 0.8593

## 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: 64
- eval_batch_size: 64
- 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 | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 45   | 0.3137          | 0.6724               |
| No log        | 2.0   | 90   | 0.2182          | 0.8019               |
| No log        | 3.0   | 135  | 0.2210          | 0.7962               |
| No log        | 4.0   | 180  | 0.1678          | 0.8521               |
| No log        | 5.0   | 225  | 0.1886          | 0.8420               |
| No log        | 6.0   | 270  | 0.1851          | 0.8560               |
| No log        | 7.0   | 315  | 0.2300          | 0.8356               |
| No log        | 8.0   | 360  | 0.2267          | 0.8593               |
| No log        | 9.0   | 405  | 0.2221          | 0.8583               |
| No log        | 10.0  | 450  | 0.2767          | 0.8153               |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2