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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](https://colab.research.google.com/drive/13EC5kbiZmtmFqBOsTW7j-A8JEVGEhvWg?usp=sharing).

## 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

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0128        | 0.1   | 625  | 0.3829          | 0.892    |
| 0.0087        | 0.2   | 1250 | 0.2733          | 0.912    |
| 0.1729        | 0.3   | 1875 | 0.1913          | 0.932    |
| 0.111         | 0.4   | 2500 | 0.2025          | 0.928    |
| 0.0007        | 0.5   | 3125 | 0.1799          | 0.944    |
| 0.0184        | 0.6   | 3750 | 0.1754          | 0.94     |
| 1.5296        | 0.7   | 4375 | 0.2080          | 0.928    |
| 0.0005        | 0.8   | 5000 | 0.1859          | 0.936    |
| 0.0011        | 0.9   | 5625 | 0.1664          | 0.944    |
| 0.0006        | 1.0   | 6250 | 0.1696          | 0.94     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
{"language": ["en"], "datasets": ["imdb"], "metrics": ["accuracy"], "model-index": [{"name": "mamba_text_classification", "results": []}]}
transformers pytorch en dataset:imdb endpoints_compatible region:us