xlm-roberta-base-finetuned-panx-allv

Venkatesh4342/xlm-roberta-base-finetuned-panx-allv

xlm-roberta-base-finetuned-panx-allv is a token classification model from Venkatesh4342. 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: Mar 4, 2023
Updated: May 14, 2023
SHA: 995799a8

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Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-panx-allv

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: 0.1652
F1: 0.8800

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	625	0.1833	0.8490
No log	2.0	1250	0.1661	0.8672
No log	3.0	1875	0.1609	0.8753
0.1641	4.0	2500	0.1652	0.8800

Framework versions

Transformers 4.27.0
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Mar 4, 2023
Updated: May 14, 2023