---
license: apache-2.0
base_model: google/bert_uncased_L-2_H-128_A-2
tags:
- generated_from_trainer
datasets:
- hate_speech18
metrics:
- accuracy
model-index:
- name: berttiny-hate_speech18-nonpretrained
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: hate_speech18
      type: hate_speech18
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8642595978062158
---

<!-- 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. -->

# berttiny-hate_speech18-nonpretrained

This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the hate_speech18 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4631
- Accuracy: 0.8643

## 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: 6e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 33
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5429        | 1.0   | 60   | 0.4818          | 0.8556   |
| 0.4701        | 2.0   | 120  | 0.4711          | 0.8556   |
| 0.4623        | 3.0   | 180  | 0.4687          | 0.8583   |
| 0.4571        | 4.0   | 240  | 0.4645          | 0.8615   |
| 0.4532        | 5.0   | 300  | 0.4639          | 0.8638   |
| 0.4501        | 6.0   | 360  | 0.4656          | 0.8620   |
| 0.4494        | 7.0   | 420  | 0.4631          | 0.8643   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0