xlm-roberta-base-finetuned-marc-en-test-run

shaer/xlm-roberta-base-finetuned-marc-en-test-run

xlm-roberta-base-finetuned-marc-en-test-run is a text classification model from shaer. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Mar 2, 2022
Updated: Oct 22, 2021
SHA: a55eeb58

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Datasets

amazon_reviews_multi

Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-marc-en-test-run

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

Loss: 0.8957
Mae: 0.4390

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Mae
1.1079	1.0	235	0.9742	0.5366
0.9488	2.0	470	0.8957	0.4390

Framework versions

Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.14.0
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Mar 2, 2022
Updated: Oct 22, 2021