roberta_base_finetuned_ontonotes

filippo-baglini/roberta_base_finetuned_ontonotes

roberta_base_finetuned_ontonotes is a token classification model from filippo-baglini. 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: roberta
Access: Public
Created: May 9, 2025
Updated: May 9, 2025
SHA: bc738ffb

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Base models

FacebookAI/roberta-base

Model card

From the Hugging Face model README

roberta_base_finetuned_ontonotes

This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0706

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
optimizer: Use OptimizerNames.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
0.0985	1.0	1873	0.0786
0.0614	2.0	3746	0.0706
0.0459	3.0	5619	0.0719

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: May 9, 2025
Updated: May 9, 2025