distilbert-base-uncased-finetuned-stsb

SjardiWillems/distilbert-base-uncased-finetuned-stsb

distilbert-base-uncased-finetuned-stsb is a text classification model from SjardiWillems. 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: Mar 5, 2024
Updated: Mar 10, 2024
SHA: dd37b84b

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-stsb

This model is a fine-tuned version of SjardiWillems/distilbert-base-uncased-finetuned-stsb on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5419
Pearson: 0.8736
Spearmanr: 0.8702

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: 3.1992432473500055e-06
train_batch_size: 64
eval_batch_size: 16
seed: 25
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr
No log	1.0	90	0.5404	0.8727	0.8690
No log	2.0	180	0.5394	0.8736	0.8701
No log	3.0	270	0.5394	0.8738	0.8703
No log	4.0	360	0.5419	0.8736	0.8702

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 5, 2024
Updated: Mar 10, 2024