---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification
  results: []
datasets:
- stanfordnlp/imdb
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mamba_text_classification

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2105
- Accuracy: 0.9392

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0254        | 0.1   | 625  | 0.2948          | 0.9176   |
| 1.1469        | 0.2   | 1250 | 0.2673          | 0.9204   |
| 0.0081        | 0.3   | 1875 | 0.2720          | 0.926    |
| 0.0011        | 0.4   | 2500 | 0.2633          | 0.9246   |
| 0.0184        | 0.5   | 3125 | 0.2350          | 0.9268   |
| 0.6982        | 0.6   | 3750 | 0.2286          | 0.937    |
| 0.9975        | 0.7   | 4375 | 0.2280          | 0.9378   |
| 0.0044        | 0.8   | 5000 | 0.2215          | 0.938    |
| 0.1517        | 0.9   | 5625 | 0.2111          | 0.9398   |
| 0.3835        | 1.0   | 6250 | 0.2105          | 0.9392   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2