thesis-freeform-yesno

maretamasaeva/thesis-freeform-yesno

thesis-freeform-yesno is a text classification model from maretamasaeva. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Apr 13, 2022
Updated: Apr 22, 2022
SHA: e19347b5

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Model card

From the Hugging Face model README

thesis-freeform-yesno

This model is a fine-tuned version of maretamasaeva/thesis-freeform on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.4547
Accuracy: 0.0194

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.5001	1.0	9052	2.4600	0.0194
2.4921	2.0	18104	2.4595	0.0194
2.4879	3.0	27156	2.4576	0.0194
2.4793	4.0	36208	2.4547	0.0194

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Apr 13, 2022
Updated: Apr 22, 2022