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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_aes |
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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_aes |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7582 |
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- Accuracy: 0.6736 |
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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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| 0.7518 | 0.1002 | 390 | 1.1485 | 0.4980 | |
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| 1.5243 | 0.2003 | 780 | 0.9547 | 0.5661 | |
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| 0.6327 | 0.3005 | 1170 | 0.9939 | 0.5708 | |
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| 0.715 | 0.4006 | 1560 | 0.9848 | 0.5690 | |
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| 0.8733 | 0.5008 | 1950 | 0.7997 | 0.6459 | |
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| 0.3249 | 0.6009 | 2340 | 0.7903 | 0.6672 | |
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| 1.44 | 0.7011 | 2730 | 0.7696 | 0.6823 | |
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| 0.4643 | 0.8012 | 3120 | 0.7792 | 0.6609 | |
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| 0.4997 | 0.9014 | 3510 | 0.7582 | 0.6736 | |
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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 2.19.2 |
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- Tokenizers 0.19.1 |
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