Final ClinicalBERT medical classifier push

README.md

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+---
+library_name: transformers
+license: mit
+base_model: emilyalsentzer/Bio_ClinicalBERT
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: clinicalbert-medical-doc-classifier
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# clinicalbert-medical-doc-classifier
+
+This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0252
+- Accuracy: 0.9953
+- F1: 0.9948
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.1238        | 0.1582 | 100  | 0.1158          | 0.9757   | 0.9679 |
+| 0.0966        | 0.3165 | 200  | 0.0470          | 0.9924   | 0.9912 |
+| 0.0269        | 0.4747 | 300  | 0.0364          | 0.9942   | 0.9931 |
+| 0.0178        | 0.6329 | 400  | 0.0336          | 0.9947   | 0.9935 |
+| 0.0428        | 0.7911 | 500  | 0.0327          | 0.9940   | 0.9933 |
+| 0.0062        | 0.9494 | 600  | 0.0296          | 0.9949   | 0.9937 |
+| 0.0370        | 1.1076 | 700  | 0.0262          | 0.9947   | 0.9935 |
+| 0.0201        | 1.2658 | 800  | 0.0279          | 0.9947   | 0.9935 |
+| 0.0231        | 1.4241 | 900  | 0.0252          | 0.9953   | 0.9948 |
+| 0.0193        | 1.5823 | 1000 | 0.0249          | 0.9953   | 0.9942 |
+| 0.0189        | 1.7405 | 1100 | 0.0263          | 0.9951   | 0.9941 |
+| 0.0201        | 1.8987 | 1200 | 0.0256          | 0.9953   | 0.9947 |
+
+
+### Framework versions
+
+- Transformers 5.4.0
+- Pytorch 2.11.0+cu130
+- Datasets 4.8.4
+- Tokenizers 0.22.2

model.safetensors

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