mamba_text_classification

quocviethere/mamba_text_classification

mamba_text_classification is a machine learning model from quocviethere. 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: Feb 26, 2024
Updated: Feb 26, 2024
SHA: af752cd8

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: 0.3710
Accuracy: 0.8993

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
0.0072	0.1	1487	0.4826	0.8833
0.9742	0.2	2974	0.4212	0.8689
1.9626	0.3	4461	0.4013	0.8949
0.0048	0.4	5948	0.4107	0.8954
0.9199	0.5	7435	0.3877	0.8938
1.3472	0.6	8922	0.4172	0.8949
0.1115	0.7	10409	0.3733	0.8971
0.1208	0.8	11896	0.3935	0.8998
0.0072	0.9	13383	0.3710	0.8993

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Library: transformers
Created: Feb 26, 2024
Updated: Feb 26, 2024