mamba_text_classification

duynguyen1/mamba_text_classification

mamba_text_classification is a machine learning model from duynguyen1. 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: Nov 18, 2024
Updated: Nov 19, 2024
SHA: 0ec488ad

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: nan
Accuracy: 0.4932

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: 2
eval_batch_size: 8
seed: 42
optimizer: Use 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0614	0.1	1250	0.2891	0.92
0.2031	0.2	2500	nan	0.9094
0.0156	0.3	3750	nan	0.8646
0.0957	0.4	5000	nan	0.8802
0.1671	0.5	6250	nan	0.8802
0.3147	0.6	7500	nan	0.8802
0.0	0.7	8750	nan	0.4932
0.0	0.8	10000	nan	0.4932
0.0	0.9	11250	nan	0.4932
0.0	1.0	12500	nan	0.4932

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Library: transformers
Created: Nov 18, 2024
Updated: Nov 19, 2024