---
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: 0.2112
- Accuracy: 0.9454

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0067        | 0.1   | 625  | 0.3108          | 0.9158   |
| 1.8154        | 0.2   | 1250 | 0.2347          | 0.931    |
| 0.0341        | 0.3   | 1875 | 0.2995          | 0.9246   |
| 0.0052        | 0.4   | 2500 | 0.2312          | 0.9364   |
| 0.0001        | 0.5   | 3125 | 0.2634          | 0.932    |
| 0.0016        | 0.6   | 3750 | 0.2250          | 0.942    |
| 1.8912        | 0.7   | 4375 | 0.2112          | 0.9452   |
| 0.0025        | 0.8   | 5000 | 0.2191          | 0.946    |
| 0.0149        | 0.9   | 5625 | 0.2125          | 0.945    |
| 0.0035        | 1.0   | 6250 | 0.2112          | 0.9454   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2