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README.md ADDED
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+ ---
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+ base_model: distilbert-base-uncased
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+ library_name: peft
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+ license: apache-2.0
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+ metrics:
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+ - f1
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: distilbert-base-uncased-ICU-Readmission-classification_test1_DistilBERT
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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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+ # distilbert-base-uncased-ICU-Readmission-classification_test1_DistilBERT
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2541
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+ - F1: 0.6140
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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: 0.001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6211 | 1.0 | 125 | 0.6684 | 0.7654 |
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+ | 0.6914 | 2.0 | 250 | 0.6944 | 0.4948 |
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+ | 0.5586 | 3.0 | 375 | 0.6777 | 0.6774 |
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+ | 0.4336 | 4.0 | 500 | 0.8128 | 0.5983 |
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+ | 0.1934 | 5.0 | 625 | 0.9031 | 0.6508 |
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+ | 0.4551 | 6.0 | 750 | 1.0683 | 0.6 |
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+ | 0.2402 | 7.0 | 875 | 1.0870 | 0.6615 |
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+ | 0.3594 | 8.0 | 1000 | 1.2305 | 0.6055 |
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+ | 0.127 | 9.0 | 1125 | 1.2516 | 0.6372 |
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+ | 0.0884 | 10.0 | 1250 | 1.2541 | 0.6140 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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