---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Mamba for Text Classification

This model was trained from scratch on IMDB dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1901
- Accuracy: 0.9536

It achieves the following results on the evaluation set:
- Loss: 0.1981
- Accuracy: 0.94
## Model description

Mamba model for text classification

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0205        | 0.1   | 625  | 0.2462          | 0.928    |
| 0.671         | 0.2   | 1250 | 0.1958          | 0.9408   |
| 0.5961        | 0.3   | 1875 | 0.2661          | 0.9344   |
| 0.0167        | 0.4   | 2500 | 0.2171          | 0.9412   |
| 0.0007        | 0.5   | 3125 | 0.2095          | 0.9448   |
| 2.6807        | 0.6   | 3750 | 0.1888          | 0.9492   |
| 0.0155        | 0.7   | 4375 | 0.2249          | 0.95     |
| 0.0021        | 0.8   | 5000 | 0.1991          | 0.9528   |
| 0.0134        | 0.9   | 5625 | 0.1920          | 0.9524   |
| 0.1525        | 1.0   | 6250 | 0.1901          | 0.9536   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1