xlm-roberta-base-finetuned-panx-all

yezune/xlm-roberta-base-finetuned-panx-all

xlm-roberta-base-finetuned-panx-all is a token classification model from yezune. Use it when you need labels on individual words, such as names. 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: Token Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Aug 10, 2023
Updated: Aug 10, 2023
SHA: 8d250f71

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Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-panx-all

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1732
F1: 0.8570

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: 24
eval_batch_size: 24
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	F1
0.3046	1.0	835	0.1930	0.8058
0.157	2.0	1670	0.1765	0.8397
0.1022	3.0	2505	0.1732	0.8570

Framework versions

Transformers 4.30.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Aug 10, 2023
Updated: Aug 10, 2023