DistilBERT-POWO_MGH_Growth_Form_Finetuned

ViktorDo/DistilBERT-POWO_MGH_Growth_Form_Finetuned

DistilBERT-POWO_MGH_Growth_Form_Finetuned is a text classification model from ViktorDo. 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: Nov 28, 2022
Updated: Nov 28, 2022
SHA: 2e3d59a5

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Model card

From the Hugging Face model README

DistilBERT-POWO_MGH_Growth_Form_Finetuned

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

Loss: 0.2182

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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2379	1.0	2054	0.2241
0.2098	2.0	4108	0.2173
0.2168	3.0	6162	0.2182

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 28, 2022
Updated: Nov 28, 2022