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---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: REBEL-ComSci
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. -->
# REBEL-ComSci
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: 5.0770
## 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: 0.002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 210 | 5.2197 |
| No log | 2.0 | 420 | 5.0887 |
| 5.8771 | 3.0 | 630 | 5.1124 |
| 5.8771 | 4.0 | 840 | 5.0977 |
| 4.5631 | 5.0 | 1050 | 5.0572 |
| 4.5631 | 6.0 | 1260 | 5.0645 |
| 4.5631 | 7.0 | 1470 | 5.0819 |
| 4.5209 | 8.0 | 1680 | 5.0690 |
| 4.5209 | 9.0 | 1890 | 5.0819 |
| 4.4896 | 10.0 | 2100 | 5.0770 |
### Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Tokenizers 0.13.1
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