imbalanced_mamba

erostrate9/imbalanced_mamba

imbalanced_mamba is a machine learning model from erostrate9. 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 18, 2024
Updated: Apr 18, 2024
SHA: 95c2097b

Model card

From the Hugging Face model README

imbalanced_mamba

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3386
Accuracy: 0.9310

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2439	0.2	420	0.3255	0.8976
0.3555	0.4	840	0.2615	0.9110
0.0069	0.6	1260	0.2734	0.9233
1.6392	0.8	1680	0.2935	0.9271
0.0001	1.0	2100	0.2506	0.9267
0.002	1.2	2520	0.3194	0.9286
0.0	1.4	2940	0.3274	0.9276
0.0	1.6	3360	0.3455	0.9310
0.0	1.8	3780	0.3400	0.9305
0.7975	2.0	4200	0.3386	0.9310

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Created: Apr 18, 2024
Updated: Apr 18, 2024