---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: boss-toxicity-24000-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-24000-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: 0.7003
- Acc: 0.8460
- Loss: 1.2310

## 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 |
|:-------------:|:-----:|:-----:|:------:|:------:|:---------------:|
| 0.3305        | 1.0   | 1500  | 0.6780 | 0.8250 | 0.3952          |
| 0.2821        | 2.0   | 3000  | 0.6773 | 0.8219 | 0.3777          |
| 0.2           | 3.0   | 4500  | 0.7331 | 0.8766 | 0.3716          |
| 0.1396        | 4.0   | 6000  | 0.6900 | 0.8356 | 0.6738          |
| 0.0914        | 5.0   | 7500  | 0.7011 | 0.8472 | 0.6766          |
| 0.0548        | 6.0   | 9000  | 0.7480 | 0.8905 | 0.6274          |
| 0.0365        | 7.0   | 10500 | 0.6624 | 0.8068 | 1.2739          |
| 0.0324        | 8.0   | 12000 | 0.7222 | 0.8655 | 1.0403          |
| 0.0295        | 9.0   | 13500 | 0.7003 | 0.8460 | 1.2310          |


### Framework versions

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