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tarekxpc
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mamba_text_classification

Transformers
PyTorch
Generated from Trainer
Inference Endpoints
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tarekxpc commited on
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Training in progress, step 3000

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Files changed (7) 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
  7. training_args.bin +3 -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: 0.4457
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+ - Accuracy: 0.9211
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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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+ | 0.6645 | 0.1 | 3000 | 0.4229 | 0.9211 |
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+ | 0.0007 | 0.2 | 6000 | 0.2685 | 0.9342 |
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+ | 0.0 | 0.3 | 9000 | 0.4486 | 0.9211 |
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+ | 1.9934 | 0.4 | 12000 | 0.4740 | 0.9342 |
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+ | 0.4133 | 0.5 | 15000 | 0.4811 | 0.9211 |
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+ | 0.0229 | 0.6 | 18000 | 0.4541 | 0.9211 |
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+ | 0.0004 | 0.7 | 21000 | 0.4255 | 0.9079 |
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+ | 0.0009 | 0.8 | 24000 | 0.4633 | 0.9211 |
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+ | 0.3324 | 0.9 | 27000 | 0.4495 | 0.9211 |
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+ | 1.4221 | 1.0 | 30000 | 0.4457 | 0.9211 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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