---
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
should probably proofread and complete it, then remove this comment. -->

# mamba_text_classification

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4457
- Accuracy: 0.9211

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6645        | 0.1   | 3000  | 0.4229          | 0.9211   |
| 0.0007        | 0.2   | 6000  | 0.2685          | 0.9342   |
| 0.0           | 0.3   | 9000  | 0.4486          | 0.9211   |
| 1.9934        | 0.4   | 12000 | 0.4740          | 0.9342   |
| 0.4133        | 0.5   | 15000 | 0.4811          | 0.9211   |
| 0.0229        | 0.6   | 18000 | 0.4541          | 0.9211   |
| 0.0004        | 0.7   | 21000 | 0.4255          | 0.9079   |
| 0.0009        | 0.8   | 24000 | 0.4633          | 0.9211   |
| 0.3324        | 0.9   | 27000 | 0.4495          | 0.9211   |
| 1.4221        | 1.0   | 30000 | 0.4457          | 0.9211   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2