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# 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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "agvidit1/TinyBert-Berttoken-Toxigen-pretrain", "model-index": [{"name": "tinybert-toxigen-bothpretrained", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:agvidit1/TinyBert-Berttoken-Toxigen-pretrain license:apache-2.0 autotrain_compatible endpoints_compatible region:us