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