---
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: 0.2113
- Accuracy: 0.9424

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0942        | 0.1   | 625  | 0.2737          | 0.9108   |
| 1.6634        | 0.2   | 1250 | 0.2311          | 0.9264   |
| 0.0146        | 0.3   | 1875 | 0.3279          | 0.908    |
| 0.0062        | 0.4   | 2500 | 0.2205          | 0.9268   |
| 0.0015        | 0.5   | 3125 | 0.2104          | 0.9376   |
| 2.14          | 0.6   | 3750 | 0.2272          | 0.938    |
| 1.4375        | 0.7   | 4375 | 0.2502          | 0.9352   |
| 0.0005        | 0.8   | 5000 | 0.2156          | 0.9392   |
| 0.0005        | 0.9   | 5625 | 0.2125          | 0.9424   |
| 0.5143        | 1.0   | 6250 | 0.2113          | 0.9424   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2