xlm-roberta-base-finetuned-panx-it

team-nave/xlm-roberta-base-finetuned-panx-it

xlm-roberta-base-finetuned-panx-it is a token classification model from team-nave. 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: Nov 17, 2022
Updated: Nov 17, 2022
SHA: c4283f35

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Datasets

xtreme

Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-panx-it

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

Loss: 0.2713
F1: 0.7966

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: 48
eval_batch_size: 48
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
No log	1.0	35	0.4571	0.6749
0.7319	2.0	70	0.3053	0.7729
0.7319	3.0	105	0.2713	0.7966

Framework versions

Transformers 4.11.3
Pytorch 1.12.1
Datasets 1.16.1
Tokenizers 0.10.3

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Nov 17, 2022
Updated: Nov 17, 2022