xlm-roberta-base-finetuned-panx-all

thundergod-zenitsu/xlm-roberta-base-finetuned-panx-all

xlm-roberta-base-finetuned-panx-all is a token classification model from thundergod-zenitsu. 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: Dec 23, 2024
Updated: Dec 23, 2024
SHA: bd10c692

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Base models

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: 0.1719
F1: 0.8568

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2937	1.0	835	0.1942	0.8142
0.1544	2.0	1670	0.1658	0.8460
0.0991	3.0	2505	0.1719	0.8568

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Dec 23, 2024
Updated: Dec 23, 2024