---
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: 0.5645
- F1 Macro: 0.8513
- F1: 0.9041
- F1 Neg: 0.7984
- Acc: 0.87
- Prec: 0.8974
- Recall: 0.9108
- Mcc: 0.7027

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
| 0.6718        | 1.0   | 614  | 0.6382          | 0.6919   | 0.8136 | 0.5702 | 0.74   | 0.7517 | 0.8867 | 0.4083 |
| 0.5134        | 2.0   | 1228 | 0.5523          | 0.7460   | 0.7657 | 0.7263 | 0.7475 | 0.9429 | 0.6445 | 0.5564 |
| 0.4637        | 3.0   | 1842 | 0.5460          | 0.8362   | 0.8837 | 0.7887 | 0.85   | 0.8769 | 0.8906 | 0.6726 |
| 0.4004        | 4.0   | 2456 | 0.6145          | 0.8160   | 0.8505 | 0.7815 | 0.8225 | 0.9224 | 0.7891 | 0.6471 |
| 0.3192        | 5.0   | 3070 | 0.5929          | 0.8476   | 0.8911 | 0.8042 | 0.86   | 0.8876 | 0.8945 | 0.6953 |


### Framework versions

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