V2_20230929-2-xlm-roberta-base-new

soBeauty/V2_20230929-2-xlm-roberta-base-new

V2_20230929-2-xlm-roberta-base-new is a fill-mask model from soBeauty. 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. --

Downloads · 30 days

33% of all-time downloads

All-time downloads

Public

Repo size

10 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.1 GB · 100%

At a glance

Task: Fill-Mask
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Sep 29, 2023
Updated: Sep 29, 2023
SHA: 7608eff0

Try a prompt

Base models

Model card

From the Hugging Face model README

V2_20230929-2-xlm-roberta-base-new

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

Accuracy: 0.5039
Loss: 2.6835

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: 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: 15

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
4.4183	1.38	200	0.2930	4.0757
3.8709	2.76	400	0.3965	3.5204
3.5868	4.14	600	0.3966	3.6372
3.4535	5.52	800	0.3861	3.1226
3.2517	6.9	1000	0.5114	2.8287
3.0993	8.28	1200	0.4145	3.1237
2.9453	9.66	1400	0.4463	3.1327
2.9466	11.03	1600	0.4464	2.9664
2.88	12.41	1800	0.4900	2.7364
2.8148	13.79	2000	0.5039	2.6835

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Fill-Mask
Library: transformers
Type: xlm-roberta
License: mit
Created: Sep 29, 2023
Updated: Sep 29, 2023