---
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: 0.2245
- Accuracy: 0.9426

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4457        | 0.1   | 625  | 0.3369          | 0.8854   |
| 0.3761        | 0.2   | 1250 | 0.2416          | 0.9246   |
| 0.2872        | 0.3   | 1875 | 0.3062          | 0.923    |
| 0.318         | 0.4   | 2500 | 0.2761          | 0.9198   |
| 0.2845        | 0.5   | 3125 | 0.2261          | 0.9398   |
| 0.2829        | 0.6   | 3750 | 0.2356          | 0.941    |
| 0.2431        | 0.7   | 4375 | 0.2351          | 0.9416   |
| 0.2407        | 0.8   | 5000 | 0.2303          | 0.9418   |
| 0.2174        | 0.9   | 5625 | 0.2257          | 0.9426   |
| 0.2454        | 1.0   | 6250 | 0.2245          | 0.9426   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1