---
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- f1
- recall
- precision
model-index:
- name: bertweet-base_3_4_2e-05_0.01
  results: []
---

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# bertweet-base_3_4_2e-05_0.01

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: 0.9140
- F1: 0.7655
- Recall: 0.7655
- Precision: 0.7655

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Recall | Precision |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|
| 0.753         | 1.0   | 745  | 0.7215          | 0.7655 | 0.7655 | 0.7655    |
| 0.6313        | 2.0   | 1490 | 0.7928          | 0.7763 | 0.7763 | 0.7763    |
| 0.402         | 3.0   | 2235 | 0.9140          | 0.7655 | 0.7655 | 0.7655    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3