---
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: 0.7965
- F1 Macro: 0.8142
- F1: 0.8639
- F1 Neg: 0.7645
- Acc: 0.8275
- Prec: 0.8725
- Recall: 0.8555
- Mcc: 0.6287

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
| 0.6396        | 1.0   | 614  | 0.6126          | 0.7238   | 0.7652 | 0.6824 | 0.73   | 0.8627 | 0.6875 | 0.4734 |
| 0.4753        | 2.0   | 1228 | 0.5095          | 0.8057   | 0.8669 | 0.7445 | 0.825  | 0.8444 | 0.8906 | 0.6138 |
| 0.3965        | 3.0   | 1842 | 0.7932          | 0.7358   | 0.8527 | 0.6188 | 0.7875 | 0.7664 | 0.9609 | 0.5306 |
| 0.3534        | 4.0   | 2456 | 0.8950          | 0.7831   | 0.8140 | 0.7522 | 0.7875 | 0.9254 | 0.7266 | 0.5975 |
| 0.2284        | 5.0   | 3070 | 0.7965          | 0.8142   | 0.8639 | 0.7645 | 0.8275 | 0.8725 | 0.8555 | 0.6287 |


### Framework versions

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