Goodreads_Books_Reviews_Roberta_51

lilouuch/Goodreads_Books_Reviews_Roberta_51

Goodreads_Books_Reviews_Roberta_51 is a text classification model from lilouuch. 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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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Feb 6, 2023
Updated: Feb 6, 2023
SHA: 9d02fc89

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Model card

From the Hugging Face model README

Goodreads_Books_Reviews_Roberta_51

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

Loss: 0.8343
F1: 0.6514
Accuracy: 0.6601

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
lr_scheduler_warmup_steps: 500
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.8728	1.0	12160	0.8448	0.6425	0.6504
0.793	2.0	24320	0.8343	0.6514	0.6601

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Feb 6, 2023
Updated: Feb 6, 2023