---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: boss-toxicity-3000-bert-base-uncased
  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. -->

# boss-toxicity-3000-bert-base-uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- F1: 0.7041
- Acc: 0.8559
- Loss: 0.7057

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | F1     | Acc    | Validation Loss |
|:-------------:|:-----:|:----:|:------:|:------:|:---------------:|
| No log        | 1.0   | 188  | 0.5425 | 0.6756 | 0.5975          |
| No log        | 2.0   | 376  | 0.7372 | 0.8909 | 0.2901          |
| 0.4492        | 3.0   | 564  | 0.7260 | 0.8775 | 0.3477          |
| 0.4492        | 4.0   | 752  | 0.6595 | 0.8084 | 0.8310          |
| 0.4492        | 5.0   | 940  | 0.7041 | 0.8559 | 0.7057          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1