---
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: 0.8755
- Accuracy: 0.7778

## 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: 2
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0279        | 0.1   | 371  | 2.5090          | 0.1111   |
| 1.3557        | 0.2   | 742  | 1.0745          | 0.6667   |
| 1.5255        | 0.3   | 1113 | 1.1685          | 0.6667   |
| 0.7389        | 0.4   | 1484 | 1.3240          | 0.5556   |
| 0.9114        | 0.5   | 1855 | 1.2930          | 0.6667   |
| 0.0422        | 0.6   | 2226 | 1.1987          | 0.6667   |
| 1.5648        | 0.7   | 2597 | 0.5782          | 0.7778   |
| 1.7356        | 0.8   | 2968 | 0.7707          | 0.6667   |
| 0.0145        | 0.9   | 3339 | 0.8755          | 0.7778   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2