---
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: taskB-bertweet-base-trainer-1.0.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# taskB-bertweet-base-trainer-1.0.0

This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3560
- Accuracy: 0.4866
- F1: 0.6128

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.1098        | 1.0   | 601  | 0.4063          | 0.1169   | 0.2635 |
| 0.0809        | 2.0   | 1202 | 0.3560          | 0.4866   | 0.6128 |
| 0.0466        | 3.0   | 1803 | 0.4027          | 0.5690   | 0.6781 |
| 0.0138        | 4.0   | 2404 | 0.4308          | 0.6073   | 0.6979 |
| 0.0122        | 5.0   | 3005 | 0.4105          | 0.6322   | 0.7233 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1