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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: nlpie/tiny-clinicalbert
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: tiny-clinicalbert-qa
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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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+ # tiny-clinicalbert-qa
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+
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+ This model is a fine-tuned version of [nlpie/tiny-clinicalbert](https://huggingface.co/nlpie/tiny-clinicalbert) on the None dataset.
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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: 0.0001
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+ - train_batch_size: 12
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.53.0
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+ - Pytorch 2.7.1+cu118
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.2
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+ "BertForQuestionAnswering"
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+ ],
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+ "torch_dtype": "float32",
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