---
base_model: Jairnetojp/content-moderation
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-finetuned-sem_eval-english
  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. -->

# bert-finetuned-sem_eval-english

This model is a fine-tuned version of [Jairnetojp/content-moderation](https://huggingface.co/Jairnetojp/content-moderation) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2343
- F1: 0.5458
- Roc Auc: 0.7829
- Accuracy: 0.4655

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 232  | 0.2283          | 0.5361 | 0.7829  | 0.4503   |
| No log        | 2.0   | 464  | 0.2343          | 0.5458 | 0.7829  | 0.4655   |
| 0.069         | 3.0   | 696  | 0.2461          | 0.5392 | 0.7832  | 0.4544   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2