distilbert-base-uncased-gc-art2e

waynedsouza/distilbert-base-uncased-gc-art2e

distilbert-base-uncased-gc-art2e is a text classification model from waynedsouza. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 11, 2022
Updated: Aug 11, 2022
SHA: 2305f315

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Model card

From the Hugging Face model README

distilbert-base-uncased-gc-art2e

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

Loss: 0.0863
Accuracy: 0.982
F1: 0.9731

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0875	1.0	32	0.0874	0.982	0.9731
0.0711	2.0	64	0.0863	0.982	0.9731

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 11, 2022
Updated: Aug 11, 2022