bert-base-uncased-issues-128

synpjh/bert-base-uncased-issues-128

bert-base-uncased-issues-128 is a fill-mask model from synpjh. 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 18, 2023
Updated: Jun 18, 2023
SHA: 291834cd

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Model card

From the Hugging Face model README

bert-base-uncased-issues-128

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: 0.1675

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
0.239	1.0	291	0.2306
0.1865	2.0	582	0.1971
0.169	3.0	873	0.1918
0.1603	4.0	1164	0.1875
0.1536	5.0	1455	0.1567
0.1461	6.0	1746	0.1755
0.1411	7.0	2037	0.1719
0.1374	8.0	2328	0.1658
0.1341	9.0	2619	0.1594
0.1302	10.0	2910	0.1666
0.1284	11.0	3201	0.1634
0.1264	12.0	3492	0.1588
0.1238	13.0	3783	0.1690
0.1237	14.0	4074	0.1558
0.1218	15.0	4365	0.1523
0.1213	16.0	4656	0.1675

Framework versions

Transformers 4.30.2
Pytorch 2.0.1
Datasets 2.13.0
Tokenizers 0.13.3

Task: Fill-Mask
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 18, 2023
Updated: Jun 18, 2023