bert-cased-exist-2

nouman-10/bert-cased-exist-2

bert-cased-exist-2 is a text classification model from nouman-10. 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

338

Public

Repo size

3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin433 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 15, 2023
Updated: Mar 15, 2023
SHA: 69336d2c

Try a prompt

Model card

From the Hugging Face model README

bert-cased-exist-2

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

Loss: 1.4661
Accuracy: 0.7762
F1: 0.7762

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: 16
eval_batch_size: 16
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	Accuracy	F1
No log	1.0	194	0.5088	0.7558	0.7558
No log	2.0	388	0.5242	0.7587	0.7587
0.4312	3.0	582	0.6426	0.7471	0.7471
0.4312	4.0	776	0.9929	0.7529	0.7529
0.4312	5.0	970	1.1684	0.7645	0.7645
0.104	6.0	1164	1.2257	0.7849	0.7849
0.104	7.0	1358	1.4336	0.7645	0.7645
0.0161	8.0	1552	1.3932	0.7762	0.7762
0.0161	9.0	1746	1.4479	0.7820	0.7820
0.0161	10.0	1940	1.4661	0.7762	0.7762

Framework versions

Transformers 4.27.0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 15, 2023
Updated: Mar 15, 2023