distil-s

paola-md/distil-s

distil-s is a text classification model from paola-md. 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: roberta
Access: Public
Created: Aug 25, 2022
Updated: Aug 25, 2022
SHA: f0be7ee0

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Model card

From the Hugging Face model README

distil-s

This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6895
Rmse: 0.8304
Mse: 0.6895
Mae: 0.5893

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse	Mse	Mae
0.6982	1.0	492	0.6440	0.8025	0.6440	0.5841
0.5922	2.0	984	0.6412	0.8007	0.6412	0.5837
0.5873	3.0	1476	0.6101	0.7811	0.6101	0.6029
0.5888	4.0	1968	0.6272	0.7920	0.6272	0.5834
0.5852	5.0	2460	0.6071	0.7791	0.6071	0.6181
0.5817	6.0	2952	0.6023	0.7761	0.6023	0.5949
0.571	7.0	3444	0.6895	0.8304	0.6895	0.5893

Framework versions

Transformers 4.19.0.dev0
Pytorch 1.9.0+cu111
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Aug 25, 2022
Updated: Aug 25, 2022