xlm-roberta-base-finetuned-panx-all

rlpeter70/xlm-roberta-base-finetuned-panx-all

xlm-roberta-base-finetuned-panx-all is a token classification model from rlpeter70. 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. --

Downloads · 30 days

18% of all-time downloads

All-time downloads

Public

Repo size

2.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.1 GB · 99%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Sep 5, 2022
Updated: Sep 5, 2022
SHA: f513186f

Try a prompt

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: 0.1745
F1: 0.8505

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
0.3055	1.0	835	0.1842	0.8099
0.1561	2.0	1670	0.1711	0.8452
0.1016	3.0	2505	0.1745	0.8505

Framework versions

Transformers 4.11.3
Pytorch 1.12.1+cu113
Datasets 1.16.1
Tokenizers 0.10.3

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Sep 5, 2022
Updated: Sep 5, 2022