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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_text_classification |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2717 |
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- Accuracy: 0.9286 |
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## Model description |
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More information needed |
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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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| 0.1395 | 0.1001 | 794 | 0.7047 | 0.8359 | |
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| 1.6796 | 0.2001 | 1588 | 0.4071 | 0.8688 | |
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| 0.1366 | 0.3002 | 2382 | 0.3954 | 0.8869 | |
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| 3.6069 | 0.4002 | 3176 | 0.3804 | 0.8946 | |
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| 0.0243 | 0.5003 | 3970 | 0.3265 | 0.9144 | |
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| 0.0027 | 0.6003 | 4764 | 0.2946 | 0.9188 | |
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| 0.0019 | 0.7004 | 5558 | 0.2919 | 0.9237 | |
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| 0.0 | 0.8004 | 6352 | 0.2816 | 0.9265 | |
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| 0.0045 | 0.9005 | 7146 | 0.2717 | 0.9286 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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