mamba_se_text_classification_v1

ZeZanZiet/mamba_se_text_classification_v1

mamba_se_text_classification_v1 is a machine learning model from ZeZanZiet. 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 5, 2024
Updated: Apr 5, 2024
SHA: 6af1c2a7

Model card

From the Hugging Face model README

mamba_se_text_classification_v1

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

Loss: 1.6253
Accuracy: 0.8317

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1427	1.0	507	0.5768	0.7921
0.2961	2.0	1014	0.8613	0.8020
0.0001	3.0	1521	0.8920	0.8218
0.1608	4.0	2028	1.1532	0.8119
0.0	5.0	2535	1.5611	0.8317
0.0001	6.0	3042	1.5699	0.8317
0.0	7.0	3549	1.5917	0.8317
0.0	8.0	4056	1.6159	0.8317
0.0	9.0	4563	1.6238	0.8317
0.0	10.0	5070	1.6253	0.8317

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Created: Apr 5, 2024
Updated: Apr 5, 2024