---
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
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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: 0.2144
- Accuracy: 0.944

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0088        | 0.1   | 625  | 0.2663          | 0.9216   |
| 3.5723        | 0.2   | 1250 | 0.3047          | 0.8962   |
| 1.4067        | 0.3   | 1875 | 0.2881          | 0.919    |
| 0.278         | 0.4   | 2500 | 0.2252          | 0.9322   |
| 0.0034        | 0.5   | 3125 | 0.2200          | 0.9382   |
| 2.526         | 0.6   | 3750 | 0.2670          | 0.9354   |
| 0.5528        | 0.7   | 4375 | 0.2209          | 0.9386   |
| 0.0006        | 0.8   | 5000 | 0.2294          | 0.9432   |
| 0.0358        | 0.9   | 5625 | 0.2167          | 0.9438   |
| 0.5311        | 1.0   | 6250 | 0.2144          | 0.944    |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1