compliance_monitoring_oms

Vineetttt/compliance_monitoring_oms

compliance_monitoring_oms is a text classification model from Vineetttt. 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: Aug 18, 2023
Updated: Aug 18, 2023
SHA: ee42f73c

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Model card

From the Hugging Face model README

compliance_monitoring_oms

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: 0.0023
Accuracy: 0.9997

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-06
train_batch_size: 64
eval_batch_size: 64
seed: 42
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	Accuracy
0.0022	1.0	1500	0.0023	0.9997
0.0015	2.0	3000	0.0022	0.9997
0.0014	3.0	4500	0.0019	0.9997
0.0016	4.0	6000	0.0020	0.9997

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 18, 2023
Updated: Aug 18, 2023