door_inner_with_SA-bert-base-uncased

Davincilee/door_inner_with_SA-bert-base-uncased

door_inner_with_SA-bert-base-uncased is a fill-mask model from Davincilee. 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: May 3, 2022
Updated: May 13, 2022
SHA: bffb9094

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Model card

From the Hugging Face model README

door_inner_with_SA-bert-base-uncased

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1513

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: 2e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
2.5492	1.0	96	2.3831
2.4031	2.0	192	2.2963
2.3391	3.0	288	2.2000
2.2951	4.0	384	2.2505
2.2151	5.0	480	2.1691
2.2237	6.0	576	2.1855
2.1984	7.0	672	2.2558
2.1749	8.0	768	2.2019
2.1475	9.0	864	2.1310
2.1446	10.0	960	2.1334
2.1374	11.0	1056	2.1909
2.1117	12.0	1152	2.2028

Framework versions

Transformers 4.19.0
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1

Task: Fill-Mask
Library: transformers
Type: bert
License: apache-2.0
Created: May 3, 2022
Updated: May 13, 2022