---
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- f1
- recall
model-index:
- name: bertweet-base
  results: []
---

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

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: 0.6138
- F1 Macro: 0.8316
- F1: 0.8834
- F1 Neg: 0.7798
- Acc: 0.8475
- Prec: 0.8652
- Recall: 0.9023
- Mcc: 0.6647

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
| 0.646         | 1.0   | 614  | 0.4778          | 0.7714   | 0.8366 | 0.7063 | 0.79   | 0.8333 | 0.8398 | 0.5429 |
| 0.4482        | 2.0   | 1228 | 0.4859          | 0.7700   | 0.8597 | 0.6803 | 0.805  | 0.7967 | 0.9336 | 0.5653 |
| 0.3669        | 3.0   | 1842 | 0.6138          | 0.8316   | 0.8834 | 0.7798 | 0.8475 | 0.8652 | 0.9023 | 0.6647 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2