nbme-electra-large-discriminator

smeoni/nbme-electra-large-discriminator

nbme-electra-large-discriminator is a fill-mask model from smeoni. 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: electra
Access: Public
Created: Apr 23, 2022
Updated: Apr 23, 2022
SHA: d5f19ee3

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Model card

From the Hugging Face model README

nbme-electra-large-discriminator

This model is a fine-tuned version of google/electra-large-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 6.1201

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
6.1704	1.0	1850	6.1313
6.1305	2.0	3700	6.1243
6.1109	3.0	5550	6.1201

Framework versions

Transformers 4.19.0.dev0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Fill-Mask
Library: transformers
Type: electra
License: apache-2.0
Created: Apr 23, 2022
Updated: Apr 23, 2022