Goodreads_Books_Reviews_BERT_50

lilouuch/Goodreads_Books_Reviews_BERT_50

Goodreads_Books_Reviews_BERT_50 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

483

Public

Repo size

2.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin438 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jan 27, 2023
Updated: Jan 28, 2023
SHA: 79aef811

Try a prompt

Model card

From the Hugging Face model README

Goodreads_Books_Reviews_BERT_50

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

Loss: 0.9665
F1: 0.6343
Accuracy: 0.6343

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
0.9881	1.0	4219	0.9548	0.6185	0.6183
0.8735	2.0	8438	0.9506	0.6278	0.626
0.7147	3.0	12657	0.9665	0.6343	0.6343
0.6294	4.0	16876	1.0249	0.6341	0.6334

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jan 27, 2023
Updated: Jan 28, 2023