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dauvannam321
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mamba_text_classification

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PyTorch
Generated from Trainer
Inference Endpoints
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dauvannam321 commited on
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Training complete

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Files changed (6) hide show
  1. README.md +68 -0
  2. config.json +1 -0
  3. pytorch_model.bin +3 -0
  4. special_tokens_map.json +24 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +212 -0
README.md ADDED
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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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+
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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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+
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+ # mamba_text_classification
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+
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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: 0.2105
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+ - Accuracy: 0.9392
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0254 | 0.1 | 625 | 0.2948 | 0.9176 |
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+ | 1.1469 | 0.2 | 1250 | 0.2673 | 0.9204 |
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+ | 0.0081 | 0.3 | 1875 | 0.2720 | 0.926 |
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+ | 0.0011 | 0.4 | 2500 | 0.2633 | 0.9246 |
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+ | 0.0184 | 0.5 | 3125 | 0.2350 | 0.9268 |
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+ | 0.6982 | 0.6 | 3750 | 0.2286 | 0.937 |
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+ | 0.9975 | 0.7 | 4375 | 0.2280 | 0.9378 |
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+ | 0.0044 | 0.8 | 5000 | 0.2215 | 0.938 |
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+ | 0.1517 | 0.9 | 5625 | 0.2111 | 0.9398 |
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+ | 0.3835 | 1.0 | 6250 | 0.2105 | 0.9392 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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