---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bert-base-cased-sentweet-profane
  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-base-cased-sentweet-profane

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4166
- Accuracy: 0.8194
- Precision: 0.8273
- Recall: 0.8249
- F1: 0.8194

## 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: 5e-05
- 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 81   | 0.4166          | 0.8194   | 0.8273    | 0.8249 | 0.8194 |
| No log        | 2.0   | 162  | 0.4605          | 0.8021   | 0.8023    | 0.8038 | 0.8019 |
| No log        | 3.0   | 243  | 0.4922          | 0.8021   | 0.8022    | 0.7994 | 0.8003 |
| No log        | 4.0   | 324  | 0.5997          | 0.7882   | 0.7871    | 0.7874 | 0.7873 |
| No log        | 5.0   | 405  | 0.8504          | 0.8056   | 0.8084    | 0.8090 | 0.8055 |
| No log        | 6.0   | 486  | 0.9631          | 0.7951   | 0.7947    | 0.7929 | 0.7936 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.1+cu117
- Datasets 2.6.1
- Tokenizers 0.11.0