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# berttiny-hate_speech18-bothpretrained

This model is a fine-tuned version of [agvidit1/GoogleTinyBert_HateSpeech_pretrain](https://huggingface.co/agvidit1/GoogleTinyBert_HateSpeech_pretrain) on the hate_speech18 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4682
- Accuracy: 0.8798

## 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: 7.12739424754752e-05
- train_batch_size: 16
- eval_batch_size: 128
- seed: 34
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4804        | 1.0   | 479  | 0.4778          | 0.8624   |
| 0.4592        | 2.0   | 958  | 0.4688          | 0.8761   |
| 0.4471        | 3.0   | 1437 | 0.4681          | 0.8780   |
| 0.4405        | 4.0   | 1916 | 0.4682          | 0.8798   |


### 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"], "datasets": ["hate_speech18"], "metrics": ["accuracy"], "base_model": "agvidit1/GoogleTinyBert_HateSpeech_pretrain", "model-index": [{"name": "berttiny-hate_speech18-bothpretrained", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "hate_speech18", "type": "hate_speech18", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.879798903107861, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer dataset:hate_speech18 base_model:agvidit1/GoogleTinyBert_HateSpeech_pretrain license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us