bert-base-cased-sst2

VityaVitalich/bert-base-cased-sst2

bert-base-cased-sst2 is a text classification model from VityaVitalich. 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. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 2, 2023
Updated: Oct 2, 2023
SHA: 8bca97af

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Base models

Datasets

sst2

Model card

From the Hugging Face model README

bert-base-cased-sst2

This model is a fine-tuned version of bert-base-cased on the sst2 dataset. It achieves the following results on the evaluation set:

Loss: 0.2103
Accuracy: 0.9140

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: 3e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2267	1.0	527	0.2103	0.9140
0.1091	2.0	1054	0.2637	0.9174
0.0722	3.0	1581	0.2673	0.9174
0.0467	4.0	2108	0.2947	0.9266
0.0298	5.0	2635	0.3344	0.9209

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 2, 2023
Updated: Oct 2, 2023