---
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
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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: 0.2351
- Accuracy: 0.9406

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0061        | 0.1   | 625  | 0.2807          | 0.9074   |
| 1.7561        | 0.2   | 1250 | 0.2201          | 0.9252   |
| 0.0296        | 0.3   | 1875 | 0.3153          | 0.9184   |
| 0.0057        | 0.4   | 2500 | 0.2213          | 0.9342   |
| 0.0002        | 0.5   | 3125 | 0.2311          | 0.935    |
| 2.8004        | 0.6   | 3750 | 0.2264          | 0.9378   |
| 0.0143        | 0.7   | 4375 | 0.2599          | 0.9348   |
| 0.0021        | 0.8   | 5000 | 0.2267          | 0.939    |
| 0.2814        | 0.9   | 5625 | 0.2343          | 0.942    |
| 0.069         | 1.0   | 6250 | 0.2351          | 0.9406   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.1+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2