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--- |
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metrics: |
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- accuracy |
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model-index: |
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- name: mamba_text_classification |
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results: [] |
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datasets: |
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- imdb |
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language: |
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- en |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Mamba for Text Classification |
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This model was trained from scratch on IMDB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1696 |
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- Accuracy: 0.94 |
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It achieves the following results on the test set: |
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- Loss: 0.2068 |
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- Accuracy: 0.94 |
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## Notebook |
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Detail on model and training code on [colab](https://colab.research.google.com/drive/13EC5kbiZmtmFqBOsTW7j-A8JEVGEhvWg?usp=sharing). |
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## Model description |
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Mamba model for text classification. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.0128 | 0.1 | 625 | 0.3829 | 0.892 | |
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| 0.0087 | 0.2 | 1250 | 0.2733 | 0.912 | |
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| 0.1729 | 0.3 | 1875 | 0.1913 | 0.932 | |
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| 0.111 | 0.4 | 2500 | 0.2025 | 0.928 | |
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| 0.0007 | 0.5 | 3125 | 0.1799 | 0.944 | |
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| 0.0184 | 0.6 | 3750 | 0.1754 | 0.94 | |
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| 1.5296 | 0.7 | 4375 | 0.2080 | 0.928 | |
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| 0.0005 | 0.8 | 5000 | 0.1859 | 0.936 | |
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| 0.0011 | 0.9 | 5625 | 0.1664 | 0.944 | |
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| 0.0006 | 1.0 | 6250 | 0.1696 | 0.94 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
