---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification_aes
  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_aes

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7582
- Accuracy: 0.6736

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.7518        | 0.1002 | 390  | 1.1485          | 0.4980   |
| 1.5243        | 0.2003 | 780  | 0.9547          | 0.5661   |
| 0.6327        | 0.3005 | 1170 | 0.9939          | 0.5708   |
| 0.715         | 0.4006 | 1560 | 0.9848          | 0.5690   |
| 0.8733        | 0.5008 | 1950 | 0.7997          | 0.6459   |
| 0.3249        | 0.6009 | 2340 | 0.7903          | 0.6672   |
| 1.44          | 0.7011 | 2730 | 0.7696          | 0.6823   |
| 0.4643        | 0.8012 | 3120 | 0.7792          | 0.6609   |
| 0.4997        | 0.9014 | 3510 | 0.7582          | 0.6736   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1