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---
metrics:
- accuracy
model-index:
- name: mamba_text_classification
results: []
datasets:
- imdb
language:
- en
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mamba for Text Classification
This model was trained from scratch on IMDB dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1696
- Accuracy: 0.94
It achieves the following results on the test set:
- Loss: 0.2068
- Accuracy: 0.94
## Notebook
Detail on model and training code on [colab](https://colab.research.google.com/drive/13EC5kbiZmtmFqBOsTW7j-A8JEVGEhvWg?usp=sharing).
## Model description
Mamba model for text classification.
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0128 | 0.1 | 625 | 0.3829 | 0.892 |
| 0.0087 | 0.2 | 1250 | 0.2733 | 0.912 |
| 0.1729 | 0.3 | 1875 | 0.1913 | 0.932 |
| 0.111 | 0.4 | 2500 | 0.2025 | 0.928 |
| 0.0007 | 0.5 | 3125 | 0.1799 | 0.944 |
| 0.0184 | 0.6 | 3750 | 0.1754 | 0.94 |
| 1.5296 | 0.7 | 4375 | 0.2080 | 0.928 |
| 0.0005 | 0.8 | 5000 | 0.1859 | 0.936 |
| 0.0011 | 0.9 | 5625 | 0.1664 | 0.944 |
| 0.0006 | 1.0 | 6250 | 0.1696 | 0.94 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2 |