mamba_text_classification

dauvannam321/mamba_text_classification

mamba_text_classification is a machine learning model from dauvannam321. 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 30, 2024
Updated: Mar 31, 2024
SHA: b7f9363f

Datasets

stanfordnlp/imdb

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: 0.2105
Accuracy: 0.9392

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: 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
0.0254	0.1	625	0.2948	0.9176
1.1469	0.2	1250	0.2673	0.9204
0.0081	0.3	1875	0.2720	0.926
0.0011	0.4	2500	0.2633	0.9246
0.0184	0.5	3125	0.2350	0.9268
0.6982	0.6	3750	0.2286	0.937
0.9975	0.7	4375	0.2280	0.9378
0.0044	0.8	5000	0.2215	0.938
0.1517	0.9	5625	0.2111	0.9398
0.3835	1.0	6250	0.2105	0.9392

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Created: Mar 30, 2024
Updated: Mar 31, 2024