---
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
should probably proofread and complete it, then remove this comment. -->

# 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: 0.4555
- F1 Macro: 0.8329
- F1: 0.8864
- F1 Neg: 0.7794
- Acc: 0.85
- Prec: 0.9035
- Recall: 0.8699
- Mcc: 0.6670

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
| No log        | 1.0   | 497  | 0.4926          | 0.7671   | 0.8270 | 0.7071 | 0.7825 | 0.8421 | 0.8125 | 0.5350 |
| 0.6271        | 2.0   | 994  | 0.4256          | 0.7808   | 0.8608 | 0.7008 | 0.81   | 0.8103 | 0.9180 | 0.5762 |
| 0.4307        | 3.0   | 1491 | 0.4918          | 0.8193   | 0.8726 | 0.7660 | 0.835  | 0.8626 | 0.8828 | 0.6390 |


### Framework versions

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