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---
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
should probably proofread and complete it, then remove this comment. -->
# 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: 0.3437
- Matthews Correlation: 0.8384
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log | 1.0 | 54 | 0.3226 | 0.8031 |
| No log | 2.0 | 108 | 0.5304 | 0.7506 |
| No log | 3.0 | 162 | 0.3437 | 0.8384 |
| No log | 4.0 | 216 | 0.3766 | 0.8242 |
| No log | 5.0 | 270 | 0.3692 | 0.8283 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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