mamba_sto_tag_classification

ebinna/mamba_sto_tag_classification

mamba_sto_tag_classification is a machine learning model from ebinna. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Library: transformers
Access: Public
Created: Nov 3, 2024
Updated: Nov 9, 2024
SHA: 200ead96

Model card

From the Hugging Face model README

mamba_sto_tag_classification

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1077
Flat Accuracy: 0.9623
Accuracy: 0.7252
Precision: 0.8487
Recall: 0.8771
F1 Score: 0.8627

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Flat Accuracy	Accuracy	Precision	Recall	F1 Score
0.0269	0.25	2500	0.1188	0.9595	0.7137	0.8598	0.8362	0.8479
0.4269	0.5	5000	0.1081	0.9628	0.7315	0.8650	0.8581	0.8616
0.158	0.75	7500	0.1061	0.9628	0.7314	0.8569	0.8691	0.8630
0.1028	1.0	10000	0.1077	0.9623	0.7252	0.8487	0.8771	0.8627

Framework versions

Transformers 4.44.2
Pytorch 2.1.1+cu118
Datasets 3.1.0
Tokenizers 0.19.1

Library: transformers
Created: Nov 3, 2024
Updated: Nov 9, 2024