sentence-compression-roberta

AlexMaclean/sentence-compression-roberta

sentence-compression-roberta is a token classification model from AlexMaclean. 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: Mar 2, 2022
Updated: Dec 6, 2021
SHA: 79c877c8

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mzansilives/en_zul_translation

Model card

From the Hugging Face model README

sentence-compression-roberta

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

Loss: 0.3465
Accuracy: 0.8473
F1: 0.6835
Precision: 0.6835
Recall: 0.6835

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: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.5312	1.0	50	0.5251	0.7591	0.0040	0.75	0.0020
0.4	2.0	100	0.4003	0.8200	0.5341	0.7113	0.4275
0.3355	3.0	150	0.3465	0.8473	0.6835	0.6835	0.6835

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu113
Datasets 1.16.1
Tokenizers 0.10.3

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: Mar 2, 2022
Updated: Dec 6, 2021