spanbert-base-cased

ahmetayrnc/spanbert-base-cased

spanbert-base-cased is a text classification model from ahmetayrnc. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jan 30, 2023
Updated: Jan 30, 2023
SHA: e7b154e9

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Datasets

silicone

Model card

From the Hugging Face model README

spanbert-base-cased

This model is a fine-tuned version of SpanBERT/spanbert-base-cased on the silicone dataset. It achieves the following results on the evaluation set:

Loss: 1.0346
Accuracy: 0.7115
Micro-precision: 0.7115
Micro-recall: 0.7115
Micro-f1: 0.7115
Macro-precision: 0.2484
Macro-recall: 0.2508
Macro-f1: 0.2412
Weighted-precision: 0.6569
Weighted-recall: 0.7115
Weighted-f1: 0.6741

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Micro-precision	Micro-recall	Micro-f1	Macro-precision	Macro-recall	Macro-f1	Weighted-precision	Weighted-recall	Weighted-f1
1.043	1.0	2980	1.0346	0.7115	0.7115	0.7115	0.7115	0.2484	0.2508	0.2412	0.6569	0.7115	0.6741

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
Created: Jan 30, 2023
Updated: Jan 30, 2023