---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-academic
  results: []
datasets:
- orieg/elsevier-oa-cc-by
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base-academic

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on a combination of Elsevier OA CC-by dataset and other corpora of university essays such as [BAWE](https://www.coventry.ac.uk/research/research-directories/current-projects/2015/british-academic-written-english-corpus-bawe/) and [MICUSP](https://elicorpora.info/main).
It achieves the following results on the evaluation set:
- Loss: 1.4229

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.671         | 1.0   | 338  | 1.5581          |
| 1.6395        | 1.99  | 676  | 1.5276          |
| 1.5991        | 2.99  | 1014 | 1.5108          |
| 1.5659        | 3.99  | 1352 | 1.4903          |
| 1.5393        | 4.99  | 1690 | 1.4668          |
| 1.5178        | 5.98  | 2028 | 1.4621          |
| 1.4962        | 6.98  | 2366 | 1.4388          |
| 1.4783        | 7.98  | 2704 | 1.4320          |
| 1.4652        | 8.97  | 3042 | 1.4216          |
| 1.4542        | 9.97  | 3380 | 1.4180          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2