---
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: 0.5690
- F1 Macro: 0.7699
- F1: 0.8459
- F1 Neg: 0.6940
- Acc: 0.795
- Prec: 0.8152
- Recall: 0.8789
- Mcc: 0.5446

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
| 0.6752        | 1.0   | 592  | 0.6373          | 0.5685   | 0.8134 | 0.3237 | 0.7075 | 0.6873 | 0.9961 | 0.3527 |
| 0.4957        | 2.0   | 1184 | 0.7489          | 0.7577   | 0.8122 | 0.7032 | 0.77   | 0.8504 | 0.7773 | 0.5205 |
| 0.4233        | 3.0   | 1776 | 0.5690          | 0.7699   | 0.8459 | 0.6940 | 0.795  | 0.8152 | 0.8789 | 0.5446 |


### Framework versions

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