BERiT_2000

gngpostalsrvc/BERiT_2000

BERiT_2000 is a fill-mask model from gngpostalsrvc. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.

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

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Hugging Face

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At a glance

Task: Fill-Mask
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Nov 9, 2022
Updated: Nov 9, 2022
SHA: 47767d3e

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Model card

From the Hugging Face model README

BERiT_2000

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 6.7293

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
6.9294	0.19	500	6.8136
6.7692	0.39	1000	6.8006
6.7567	0.58	1500	6.7770
6.746	0.77	2000	6.7414
6.7577	0.97	2500	6.7333
6.7295	1.16	3000	6.7405
6.7635	1.36	3500	6.7272
6.7715	1.55	4000	6.7114
6.7348	1.74	4500	6.7275
6.719	1.94	5000	6.7322
6.7427	2.13	5500	6.7242
6.7136	2.32	6000	6.6852
6.719	2.52	6500	6.7430
6.7229	2.71	7000	6.7331
6.7166	2.9	7500	6.7293

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2

Task: Fill-Mask
Library: transformers
Type: roberta
License: mit
Created: Nov 9, 2022
Updated: Nov 9, 2022