knowledge_disabilityyy_final_model

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README.md +94 -0
config.json +127 -0
id2label.json +1 -0
label2id.json +1 -0
model.safetensors +3 -0
special_tokens_map.json +7 -0
tokenizer.json +0 -0
tokenizer_config.json +58 -0
training_args.bin +3 -0
vocab.txt +0 -0

README.md ADDED Viewed

	@@ -0,0 +1,94 @@

+---
+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: []
+---
+<!-- 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
+| 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 |
+### Framework versions
+- Transformers 4.51.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json ADDED Viewed

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+}

id2label.json ADDED Viewed

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+ {"ADHD": 0, "Amputation": 1, "Anxiety Disorders": 2, "Aphasia": 3, "Apraxia of Speech": 4, "Arthritis": 5, "Auditory Processing Disorder": 6, "Autism Spectrum Disorder": 7, "Bipolar Disorder": 8, "Blindness": 9, "Cataracts": 10, "Cerebral Palsy": 11, "Color Blindness": 12, "Conductive Hearing Loss": 13, "Depression": 14, "Developmental Delay": 15, "Down Syndrome": 16, "Dysarthria": 17, "Eating Disorders": 18, "Executive Function Deficits": 19, "Fragile X Syndrome": 20, "Glaucoma": 21, "Intellectual Disability": 22, "Language Processing Disorder": 23, "Low Vision": 24, "Macular Degeneration": 25, "Mixed Hearing Loss": 26, "Mobility Impairment": 27, "Multiple Sclerosis (MS)": 28, "Muscular Dystrophy": 29, "Neural Hearing Loss": 30, "Noise-Induced Hearing Loss": 31, "Nonverbal Learning Disability": 32, "OCD": 33, "PTSD": 34, "Profound Hearing Loss": 35, "Retinal Disorders": 36, "Schizophrenia": 37, "Selective Mutism": 38, "Sensorineural Hearing Loss": 39, "Specific Learning Disabilities": 40, "Spinal Cord Injury": 41, "Stuttering": 42, "Tinnitus": 43, "Tourette Syndrome": 44, "Voice Disorders": 45, "dyscalculia": 46, "dysgraphia": 47, "dyslexia": 48}

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vocab.txt ADDED Viewed

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