---
library_name: transformers
base_model: textattack/bert-base-uncased-yelp-polarity
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: DLthon_BERT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DLthon_BERT

This model is a fine-tuned version of [textattack/bert-base-uncased-yelp-polarity](https://huggingface.co/textattack/bert-base-uncased-yelp-polarity) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4843
- F1: 0.0651

## 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: 0.01
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 109  | 1.5636          | 0.0651 |
| No log        | 2.0   | 218  | 1.4843          | 0.0651 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1