distilbert-base-uncased-finetuned-sst2

naksu/distilbert-base-uncased-finetuned-sst2

distilbert-base-uncased-finetuned-sst2 is a text classification model from naksu. 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: distilbert
Access: Public
Created: Jan 23, 2023
Updated: Jan 23, 2023
SHA: 684437df

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Datasets

glue

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-sst2

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

Loss: 0.4654
Accuracy: 0.8624

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 30
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
No log	1.0	27	0.4003	0.8224
No log	2.0	54	0.3516	0.8459
No log	3.0	81	0.4151	0.8376
No log	4.0	108	0.4419	0.8635
No log	5.0	135	0.4654	0.8624

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jan 23, 2023
Updated: Jan 23, 2023