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alamgirqazi/
mamba_text_classification

Name: mamba_text_classification
Availability: InStock

transformers

pytorch

generated_from_trainer

endpoints_compatible

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mamba_text_classification

This model was trained from scratch on IMDB dataset. It achieves the following results on the evaluation set:

Loss: 0.2454
Accuracy: 0.932

Installation

conda create -n mamba_env python=3.10

conda activate mamba_env

pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu122
pip install 'causal-conv1d>=1.4.0'
pip install mamba-ssm==2.2.1
pip install datasets scikit-learn

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
0.0109	0.1	625	0.3104	0.896
2.5826	0.2	1250	0.2714	0.912
0.0115	0.3	1875	0.2622	0.928
0.0133	0.4	2500	0.2427	0.924
0.0012	0.5	3125	0.2205	0.916
2.1868	0.6	3750	0.2280	0.936
1.5594	0.7	4375	0.2529	0.932
0.0016	0.8	5000	0.2196	0.94
0.0055	0.9	5625	0.2365	0.932
0.3351	1.0	6250	0.2454	0.932

Framework versions

Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

alamgirqazi/mamba_text_classification

mamba_text_classification

Installation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

alamgirqazi/
mamba_text_classification