GIST-small-Embedding-v0-finetuned

shhossain/GIST-small-Embedding-v0-finetuned

GIST-small-Embedding-v0-finetuned is a text classification model from shhossain. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: May 5, 2024
Updated: May 5, 2024
SHA: c07c79c0

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Base models

avsolatorio/GIST-small-Embedding-v0

Model card

From the Hugging Face model README

GIST-small-Embedding-v0-finetuned

This model is a fine-tuned version of avsolatorio/GIST-small-Embedding-v0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5441
Accuracy: 0.75

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	23	0.5764	0.675
No log	2.0	46	0.5598	0.7
No log	3.0	69	0.5441	0.75
No log	4.0	92	0.5355	0.75
No log	5.0	115	0.5432	0.75

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: May 5, 2024
Updated: May 5, 2024