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--- |
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tags: |
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- generated_from_trainer |
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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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--- |
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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: 0.1901 |
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- Accuracy: 0.9536 |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1981 |
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- Accuracy: 0.94 |
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## Model description |
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Mamba model for text classification |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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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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| 0.0205 | 0.1 | 625 | 0.2462 | 0.928 | |
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| 0.671 | 0.2 | 1250 | 0.1958 | 0.9408 | |
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| 0.5961 | 0.3 | 1875 | 0.2661 | 0.9344 | |
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| 0.0167 | 0.4 | 2500 | 0.2171 | 0.9412 | |
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| 0.0007 | 0.5 | 3125 | 0.2095 | 0.9448 | |
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| 2.6807 | 0.6 | 3750 | 0.1888 | 0.9492 | |
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| 0.0155 | 0.7 | 4375 | 0.2249 | 0.95 | |
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| 0.0021 | 0.8 | 5000 | 0.1991 | 0.9528 | |
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| 0.0134 | 0.9 | 5625 | 0.1920 | 0.9524 | |
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| 0.1525 | 1.0 | 6250 | 0.1901 | 0.9536 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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