---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification
  results: []
---

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# mamba_text_classification

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2717
- Accuracy: 0.9286

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.1395        | 0.1001 | 794  | 0.7047          | 0.8359   |
| 1.6796        | 0.2001 | 1588 | 0.4071          | 0.8688   |
| 0.1366        | 0.3002 | 2382 | 0.3954          | 0.8869   |
| 3.6069        | 0.4002 | 3176 | 0.3804          | 0.8946   |
| 0.0243        | 0.5003 | 3970 | 0.3265          | 0.9144   |
| 0.0027        | 0.6003 | 4764 | 0.2946          | 0.9188   |
| 0.0019        | 0.7004 | 5558 | 0.2919          | 0.9237   |
| 0.0           | 0.8004 | 6352 | 0.2816          | 0.9265   |
| 0.0045        | 0.9005 | 7146 | 0.2717          | 0.9286   |


### Framework versions

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