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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2351 |
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- Accuracy: 0.9406 |
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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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| 0.0061 | 0.1 | 625 | 0.2807 | 0.9074 | |
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| 1.7561 | 0.2 | 1250 | 0.2201 | 0.9252 | |
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| 0.0296 | 0.3 | 1875 | 0.3153 | 0.9184 | |
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| 0.0057 | 0.4 | 2500 | 0.2213 | 0.9342 | |
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| 0.0002 | 0.5 | 3125 | 0.2311 | 0.935 | |
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| 2.8004 | 0.6 | 3750 | 0.2264 | 0.9378 | |
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| 0.0143 | 0.7 | 4375 | 0.2599 | 0.9348 | |
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| 0.0021 | 0.8 | 5000 | 0.2267 | 0.939 | |
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| 0.2814 | 0.9 | 5625 | 0.2343 | 0.942 | |
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| 0.069 | 1.0 | 6250 | 0.2351 | 0.9406 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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