Update README.md

README.md

@@ -1,95 +1,27 @@
 ---
-library_name: transformers
-base_model: dmis-lab/biobert-base-cased-v1.1
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-- f1
-model-index:
-- name: disabilityy_model_final
-  results: []
 pipeline_tag: text-classification
+language: en
+tags:
+- disability
+- text-classification
+- healthcare
+license: mit
+datasets:
+- custom
+widget:
+  - text: "My child struggles to communicate clearly and often avoids social interaction."
 ---
 
-<!-- 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. -->
-
-# disabilityy_model_final
-
-This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.1](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7046
-- Accuracy: 0.9993
-- F1: 0.9993
-
-## 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: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 10
-- label_smoothing_factor: 0.1
-
-### Training results
+# Disability Classification Model
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 3.5334        | 0.1361 | 100  | 3.1591          | 0.3578   | 0.2920 |
-| 2.2694        | 0.2721 | 200  | 1.8688          | 0.8490   | 0.8256 |
-| 1.4181        | 0.4082 | 300  | 1.1307          | 0.9571   | 0.9541 |
-| 0.9179        | 0.5442 | 400  | 0.8041          | 0.9912   | 0.9911 |
-| 0.7608        | 0.6803 | 500  | 0.7383          | 0.9966   | 0.9966 |
-| 0.7273        | 0.8163 | 600  | 0.7282          | 0.9973   | 0.9973 |
-| 0.7196        | 0.9524 | 700  | 0.7239          | 0.9973   | 0.9973 |
-| 0.7178        | 1.0884 | 800  | 0.7175          | 0.9980   | 0.9980 |
-| 0.7111        | 1.2245 | 900  | 0.7165          | 0.9973   | 0.9973 |
-| 0.7121        | 1.3605 | 1000 | 0.7152          | 0.9986   | 0.9986 |
-| 0.7084        | 1.4966 | 1100 | 0.7117          | 0.9986   | 0.9986 |
-| 0.7079        | 1.6327 | 1200 | 0.7126          | 0.9980   | 0.9980 |
-| 0.7077        | 1.7687 | 1300 | 0.7108          | 0.9986   | 0.9986 |
-| 0.7076        | 1.9048 | 1400 | 0.7099          | 0.9993   | 0.9993 |
-| 0.7102        | 2.0408 | 1500 | 0.7088          | 0.9986   | 0.9986 |
-| 0.7049        | 2.1769 | 1600 | 0.7081          | 0.9986   | 0.9986 |
-| 0.7043        | 2.3129 | 1700 | 0.7077          | 0.9986   | 0.9986 |
-| 0.7041        | 2.4490 | 1800 | 0.7064          | 0.9993   | 0.9993 |
-| 0.7071        | 2.5850 | 1900 | 0.7086          | 0.9986   | 0.9986 |
-| 0.7042        | 2.7211 | 2000 | 0.7069          | 0.9993   | 0.9993 |
-| 0.7036        | 2.8571 | 2100 | 0.7057          | 0.9993   | 0.9993 |
-| 0.7032        | 2.9932 | 2200 | 0.7061          | 0.9993   | 0.9993 |
-| 0.7031        | 3.1293 | 2300 | 0.7059          | 0.9993   | 0.9993 |
-| 0.703         | 3.2653 | 2400 | 0.7055          | 0.9993   | 0.9993 |
-| 0.7033        | 3.4014 | 2500 | 0.7062          | 0.9993   | 0.9993 |
-| 0.7032        | 3.5374 | 2600 | 0.7062          | 0.9993   | 0.9993 |
-| 0.703         | 3.6735 | 2700 | 0.7054          | 0.9993   | 0.9993 |
-| 0.7028        | 3.8095 | 2800 | 0.7054          | 0.9993   | 0.9993 |
-| 0.7027        | 3.9456 | 2900 | 0.7046          | 0.9993   | 0.9993 |
-| 0.7027        | 4.0816 | 3000 | 0.7055          | 0.9993   | 0.9993 |
-| 0.7029        | 4.2177 | 3100 | 0.7051          | 0.9993   | 0.9993 |
-| 0.7026        | 4.3537 | 3200 | 0.7047          | 0.9993   | 0.9993 |
+This model classifies English text into one of 49 categories related to various disabilities, including:
 
+- Autism Spectrum Disorder
+- ADHD
+- Depression
+- Down Syndrome
+- and many more.
 
-### Framework versions
+## 🧪 Example
 
-- Transformers 4.51.3
-- Pytorch 2.5.1+cu124
-- Datasets 3.6.0
-- Tokenizers 0.21.1
+**Input:**