pytorch tensorboard distilbert text-classification transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: text_classification_cybertexts
  results: []
---

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# text_classification_cybertexts

This model is a fine-tuned version of [binay1999/distilbert-cybertexts-preprocessed](https://huggingface.co/binay1999/distilbert-cybertexts-preprocessed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0330

## 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: 2e-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: 3.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0333        | 1.0   | 38750  | 0.0389          |
| 0.0271        | 2.0   | 77500  | 0.0284          |
| 0.0135        | 3.0   | 116250 | 0.0330          |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Tokenizers 0.12.1
