V3_20230929-8-xlm-roberta-base-new

soBeauty/V3_20230929-8-xlm-roberta-base-new

V3_20230929-8-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. --

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At a glance

Task: Fill-Mask
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Oct 1, 2023
Updated: Oct 4, 2023
SHA: b2b244f5

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Base models

Model card

From the Hugging Face model README

V3_20230929-8-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: 0.5495
Loss: 2.3018

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
4.1769	1.82	200	0.3506	3.4849
3.5897	3.64	400	0.3699	3.2647
3.3581	5.45	600	0.4158	3.2254
3.1319	7.27	800	0.4496	2.8081
3.0084	9.09	1000	0.4484	2.8294
2.8681	10.91	1200	0.4910	2.5505
2.7496	12.73	1400	0.5362	2.3569
2.6617	14.55	1600	0.5327	2.6322
2.6804	16.36	1800	0.5186	2.4814
2.6267	18.18	2000	0.5307	2.6404
2.5777	20.0	2200	0.5495	2.3018

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

Task: Fill-Mask
Library: transformers
Type: xlm-roberta
License: mit
Created: Oct 1, 2023
Updated: Oct 4, 2023