mamba_text_classification

betong2k/mamba_text_classification

mamba_text_classification is a machine learning model from betong2k. 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: Mar 14, 2025
Updated: Mar 14, 2025
SHA: 548ef6b3

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: 0.2373
Accuracy: 0.9412

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: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0085	0.1	625	0.3822	0.908
2.2785	0.2	1250	0.3288	0.904
0.0482	0.3	1875	0.2656	0.9312
0.0051	0.4	2500	0.2493	0.9356
0.0016	0.5	3125	0.2741	0.936
2.21	0.6	3750	0.2366	0.936
0.0077	0.7	4375	0.2647	0.936
0.0015	0.8	5000	0.2410	0.94
0.0376	0.9	5625	0.2369	0.9412
0.0133	1.0	6250	0.2373	0.9412

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

Library: transformers
Created: Mar 14, 2025
Updated: Mar 14, 2025