bert-base-uncased-finetuned-academic

egumasa/bert-base-uncased-finetuned-academic

bert-base-uncased-finetuned-academic is a fill-mask model from egumasa. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Fill-Mask
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 28, 2022
Updated: Jun 28, 2022
SHA: a8905e67

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Datasets

elsevier-oa-cc-by

Model card

From the Hugging Face model README

bert-base-uncased-finetuned-academic

This model is a fine-tuned version of bert-base-uncased on the elsevier-oa-cc-by dataset. It achieves the following results on the evaluation set:

Loss: 2.5893

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: 1e-05
train_batch_size: 40
eval_batch_size: 40
seed: 42
optimizer: Adam with betas=(0.9,0.97) and epsilon=0.0001
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.9591	0.25	820	2.6567
2.7993	0.5	1640	2.6006
2.7519	0.75	2460	2.5707
2.7319	1.0	3280	2.5763
2.7359	1.25	4100	2.5866
2.7451	1.5	4920	2.5855
2.7421	1.75	5740	2.5770
2.7319	2.0	6560	2.5762
2.7356	2.25	7380	2.5807
2.7376	2.5	8200	2.5813
2.7386	2.75	9020	2.5841
2.7378	3.0	9840	2.5737

Framework versions

Transformers 4.19.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Task: Fill-Mask
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 28, 2022
Updated: Jun 28, 2022