---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: boss-toxicity-48000-bert-base-uncased
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# boss-toxicity-48000-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: 0.7261
- Acc: 0.8698
- Loss: 0.8738

## 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 |
|:-------------:|:-----:|:-----:|:------:|:------:|:---------------:|
| 0.2892        | 1.0   | 3000  | 0.7239 | 0.8667 | 0.3107          |
| 0.2632        | 2.0   | 6000  | 0.7030 | 0.8463 | 0.3864          |
| 0.2114        | 3.0   | 9000  | 0.7417 | 0.8815 | 0.3007          |
| 0.143         | 4.0   | 12000 | 0.7330 | 0.8755 | 0.4253          |
| 0.0924        | 5.0   | 15000 | 0.7083 | 0.8532 | 0.6377          |
| 0.0622        | 6.0   | 18000 | 0.7261 | 0.8698 | 0.8738          |


### Framework versions

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