---
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BERTweet
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BERTweet

This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2836
- Accuracy: 0.9070

## 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: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6594        | 0.0994 | 47   | 0.5265          | 0.7661   |
| 0.4744        | 0.1987 | 94   | 0.5127          | 0.7736   |
| 0.389         | 0.2981 | 141  | 0.4142          | 0.8441   |
| 0.4078        | 0.3975 | 188  | 0.3744          | 0.8778   |
| 0.344         | 0.4968 | 235  | 0.4091          | 0.8516   |
| 0.3149        | 0.5962 | 282  | 0.3440          | 0.8853   |
| 0.3883        | 0.6956 | 329  | 0.3599          | 0.8741   |
| 0.3254        | 0.7949 | 376  | 0.3196          | 0.9055   |
| 0.3261        | 0.8943 | 423  | 0.2935          | 0.9055   |
| 0.3308        | 0.9937 | 470  | 0.2836          | 0.9070   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1