---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertweet-base_finetuned_olid_b
  results: []
---

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# bertweet-base_finetuned_olid_b

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: 0.4449
- Accuracy: 0.8333
- F1-macro: 0.7114

## 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 | Accuracy | F1-macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.6556        | 1.0   | 69   | 0.5271          | 0.7542   | 0.6452   |
| 0.5838        | 2.0   | 138  | 0.4723          | 0.7292   | 0.6284   |
| 0.5031        | 3.0   | 207  | 0.4223          | 0.8417   | 0.7258   |
| 0.454         | 4.0   | 276  | 0.4391          | 0.8083   | 0.6855   |
| 0.3966        | 5.0   | 345  | 0.4449          | 0.8333   | 0.7114   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3