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egumasa/
roberta-base-academic

Name: roberta-base-academic
Availability: InStock

generated_from_trainer

orieg/elsevier-oa-cc-by

cc-by-sa-4.0

autotrain_compatible

endpoints_compatible

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roberta-base-academic

This model is a fine-tuned version of roberta-base on a combination of Elsevier OA CC-by dataset and other corpora of university essays such as BAWE and MICUSP. 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

egumasa/roberta-base-academic

roberta-base-academic

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

egumasa/
roberta-base-academic