---
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3710
- Accuracy: 0.8993

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0072        | 0.1   | 1487  | 0.4826          | 0.8833   |
| 0.9742        | 0.2   | 2974  | 0.4212          | 0.8689   |
| 1.9626        | 0.3   | 4461  | 0.4013          | 0.8949   |
| 0.0048        | 0.4   | 5948  | 0.4107          | 0.8954   |
| 0.9199        | 0.5   | 7435  | 0.3877          | 0.8938   |
| 1.3472        | 0.6   | 8922  | 0.4172          | 0.8949   |
| 0.1115        | 0.7   | 10409 | 0.3733          | 0.8971   |
| 0.1208        | 0.8   | 11896 | 0.3935          | 0.8998   |
| 0.0072        | 0.9   | 13383 | 0.3710          | 0.8993   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2