mamba_text_classification

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Mamba for Text Classification

This model was trained from scratch on IMDB dataset.

It achieves the following results on the evaluation set:

• Loss: 0.1696
• Accuracy: 0.94

It achieves the following results on the test set:

• Loss: 0.2068
• Accuracy: 0.94

Notebook

Detail on model and training code on colab.

Model description

Mamba model for text classification.

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

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2