---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: sms-spam-weighted
  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. -->

# sms-spam-weighted

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:
- Loss: 0.2336
- Accuracy: 0.989
- F1: 0.9575

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.0009        | 1.0   | 125  | 0.1323          | 0.987    | 0.9494 |
| 0.0034        | 2.0   | 250  | 0.1401          | 0.988    | 0.9531 |
| 0.0001        | 3.0   | 375  | 0.2087          | 0.991    | 0.9647 |
| 0.0001        | 4.0   | 500  | 0.2121          | 0.988    | 0.9538 |
| 0.0001        | 5.0   | 625  | 0.2129          | 0.988    | 0.9538 |
| 0.0           | 6.0   | 750  | 0.2242          | 0.99     | 0.9612 |
| 0.0           | 7.0   | 875  | 0.2285          | 0.989    | 0.9575 |
| 0.0           | 8.0   | 1000 | 0.2314          | 0.989    | 0.9575 |
| 0.0           | 9.0   | 1125 | 0.2330          | 0.989    | 0.9575 |
| 0.0           | 10.0  | 1250 | 0.2336          | 0.989    | 0.9575 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3