Training complete
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README.md
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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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