---
license: apache-2.0
base_model: agvidit1/TinyBert-Berttoken-Toxigen-pretrain
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tinybert-toxigen-bothpretrained
  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. -->

# tinybert-toxigen-bothpretrained

This model is a fine-tuned version of [agvidit1/TinyBert-Berttoken-Toxigen-pretrain](https://huggingface.co/agvidit1/TinyBert-Berttoken-Toxigen-pretrain) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2482
- Accuracy: 0.7702

## 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: 6.534672522105872e-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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2425        | 1.0   | 55   | 0.2482          | 0.7596   |
| 0.2382        | 2.0   | 110  | 0.2482          | 0.7677   |
| 0.2363        | 3.0   | 165  | 0.2483          | 0.7591   |
| 0.2348        | 4.0   | 220  | 0.2484          | 0.7707   |
| 0.2343        | 5.0   | 275  | 0.2487          | 0.7672   |
| 0.2342        | 6.0   | 330  | 0.2482          | 0.7702   |


### Framework versions

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