---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: cyber_rebel
  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. -->

# cyber_rebel

This model is a fine-tuned version of [Babelscape/rebel-large](https://huggingface.co/Babelscape/rebel-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1187

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.526         | 1.0   | 15674 | 2.5245          |
| 2.6236        | 2.0   | 31348 | 2.2064          |
| 2.3867        | 3.0   | 47022 | 2.0967          |


### Framework versions

- Transformers 4.21.3
- Pytorch 1.13.0
- Datasets 2.7.0
- Tokenizers 0.12.1