Goodreads_Books_Reviews_distilbert

lilouuch/Goodreads_Books_Reviews_distilbert

Goodreads_Books_Reviews_distilbert 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 apache-2.0.

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

Downloads · 30 days

2% of all-time downloads

All-time downloads

482

Public

Repo size

1.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin268 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jan 28, 2023
Updated: Jan 30, 2023
SHA: 00d7c618

Try a prompt

Model card

From the Hugging Face model README

Goodreads_Books_Reviews_distilbert

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

Loss: 0.9281
F1: 0.6246
Accuracy: 0.6338

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.9445	1.0	9780	0.9275	0.6058	0.6228
0.8688	2.0	19560	0.9090	0.6227	0.6291
0.7786	3.0	29340	0.9281	0.6246	0.6338
0.7039	4.0	39120	0.9576	0.6226	0.6314

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jan 28, 2023
Updated: Jan 30, 2023