mamba_text_classification

tinchung/mamba_text_classification

mamba_text_classification is a machine learning model from tinchung. 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: Apr 8, 2024
Updated: Jul 2, 2024
SHA: 52554dd6

Model card

From the Hugging Face model README

mamba_text_classification

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

Loss: 0.2347
Accuracy: 0.94

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-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0104	0.1	625	0.3562	0.908
2.6178	0.2	1250	0.2743	0.912
0.0297	0.3	1875	0.2873	0.932
0.0193	0.4	2500	0.2809	0.928
0.0004	0.5	3125	0.3164	0.92
1.9664	0.6	3750	0.2281	0.952
0.9588	0.7	4375	0.2699	0.944
0.0023	0.8	5000	0.2450	0.944
0.0074	0.9	5625	0.2358	0.944
0.6961	1.0	6250	0.2347	0.94

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: transformers
Created: Apr 8, 2024
Updated: Jul 2, 2024