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classification_flan_t5_enriched

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
Sarah Tariq commited on
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  2. generation_config.json +6 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/flan-t5-small
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: classification_flan_t5_enriched
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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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+ # classification_flan_t5_enriched
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+
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6387
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+ - Classification Report: precision recall f1-score support
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+
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+ ALLERGY 1.0000 0.5000 0.6667 4
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+ ASSESSMENT 0.0000 0.0000 0.0000 4
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+ CC 0.3000 0.7500 0.4286 4
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+ DIAGNOSIS 0.0000 0.0000 0.0000 1
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+ DISPOSITION 0.0000 0.0000 0.0000 2
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+ EDCOURSE 0.0000 0.0000 0.0000 3
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+ EXAM 1.0000 1.0000 1.0000 1
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+ FAM/SOCHX 0.8148 1.0000 0.8980 22
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+ GENHX 0.6923 0.9000 0.7826 20
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+ GYNHX 0.0000 0.0000 0.0000 1
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+ IMAGING 0.0000 0.0000 0.0000 1
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+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
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+ LABS 0.0000 0.0000 0.0000 1
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+ MEDICATIONS 0.7143 0.7143 0.7143 7
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+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
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+ PASTMEDICALHX 0.5714 1.0000 0.7273 4
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+ PASTSURGICAL 1.0000 1.0000 1.0000 8
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+ PLAN 0.0000 0.0000 0.0000 3
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+ PROCEDURES 0.0000 0.0000 0.0000 1
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+ ROS 0.6667 0.1818 0.2857 11
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+
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+ accuracy 0.6500 100
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+ macro avg 0.3380 0.3523 0.3252 100
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+ weighted avg 0.6059 0.6500 0.5984 100
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+
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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: 7
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+ - eval_batch_size: 7
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Classification Report |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
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+ | No log | 1.0 | 172 | 0.7417 | precision recall f1-score support
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+
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+ ALLERGY 0.2500 0.5000 0.3333 4
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+ ASSESSMENT 0.0000 0.0000 0.0000 4
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+ Afib 0.0000 0.0000 0.0000 0
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+ CC 0.0000 0.0000 0.0000 4
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+ DIAGNOSIS 0.0000 0.0000 0.0000 1
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+ DISPOSITION 0.0000 0.0000 0.0000 2
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+ EDCOURSE 0.0000 0.0000 0.0000 3
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+ EXAM 0.0000 0.0000 0.0000 1
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+ FAM/SOCHX 0.7222 0.5909 0.6500 22
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+ GENHX 0.5143 0.9000 0.6545 20
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+ GYNHX 0.0000 0.0000 0.0000 1
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+ ICT 0.0000 0.0000 0.0000 0
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+ IMAGING 0.0000 0.0000 0.0000 1
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+ IMMUNITIES 0.0000 0.0000 0.0000 0
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+ IMMUNITIVES 0.0000 0.0000 0.0000 0
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+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
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+ INFLUENCED 0.0000 0.0000 0.0000 0
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+ LABS 0.0000 0.0000 0.0000 1
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+ MEDICATIONS 0.5000 0.4286 0.4615 7
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+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
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+ PASTMEDICALHX 0.2000 0.2500 0.2222 4
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+ PASTSURGICAL 0.5000 0.7500 0.6000 8
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+ PLAN 0.0000 0.0000 0.0000 3
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+ PROCEDURES 0.0000 0.0000 0.0000 1
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+ ROS 0.0000 0.0000 0.0000 11
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+ thoughts 0.0000 0.0000 0.0000 0
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+
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+ accuracy 0.4300 100
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+ macro avg 0.1033 0.1315 0.1124 100
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+ weighted avg 0.3547 0.4300 0.3764 100
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+ |
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+ | No log | 2.0 | 344 | 0.5061 | precision recall f1-score support
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+
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+ ALLERGY 0.5000 0.2500 0.3333 4
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+ ASSESSMENT 0.0000 0.0000 0.0000 4
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+ CC 0.0000 0.0000 0.0000 4
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+ DIAGNOSIS 0.0000 0.0000 0.0000 1
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+ DISPOSITION 0.0000 0.0000 0.0000 2
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+ EDCOURSE 0.0000 0.0000 0.0000 3
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+ EXAM 0.0000 0.0000 0.0000 1
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+ FAM/SOCHX 0.8400 0.9545 0.8936 22
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+ GENHX 0.4524 0.9500 0.6129 20
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+ GYNHX 0.0000 0.0000 0.0000 1
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+ IMAGING 0.0000 0.0000 0.0000 1
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+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
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+ LABS 0.0000 0.0000 0.0000 1
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+ MEDICATIONS 0.4545 0.7143 0.5556 7
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+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
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+ PASTMEDICALHX 0.4286 0.7500 0.5455 4
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+ PASTSURGICAL 0.8889 1.0000 0.9412 8
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+ PLAN 0.0000 0.0000 0.0000 3
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+ PROCEDURES 0.0000 0.0000 0.0000 1
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+ ROS 0.0000 0.0000 0.0000 11
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+ thoughts 0.0000 0.0000 0.0000 0
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+
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+ accuracy 0.5700 100
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+ macro avg 0.1697 0.2199 0.1849 100
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+ weighted avg 0.4153 0.5700 0.4685 100
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+ |
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+ | 0.6004 | 3.0 | 516 | 0.4744 | precision recall f1-score support
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+
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+ ALLERGY 1.0000 0.2500 0.4000 4
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+ ASSESSMENT 0.0000 0.0000 0.0000 4
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+ CC 0.2500 0.2500 0.2500 4
142
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
143
+ DISPOSITION 0.0000 0.0000 0.0000 2
144
+ EDCOURSE 0.0000 0.0000 0.0000 3
145
+ EXAM 0.0000 0.0000 0.0000 1
146
+ FAM/SOCHX 0.9130 0.9545 0.9333 22
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+ GENHX 0.6552 0.9500 0.7755 20
148
+ GYNHX 0.0000 0.0000 0.0000 1
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+ How are you feeling? 0.0000 0.0000 0.0000 0
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+ I am going home with my son 0.0000 0.0000 0.0000 0
151
+ IMAGING 0.0000 0.0000 0.0000 1
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+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
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+ INVATIONS 0.0000 0.0000 0.0000 0
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+ LABS 0.0000 0.0000 0.0000 1
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+ MEDICATIONS 0.5714 0.5714 0.5714 7
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+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
157
+ PASTMEDICALHX 0.4444 1.0000 0.6154 4
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+ PASTSURGICAL 0.8000 1.0000 0.8889 8
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+ PLAN 0.0000 0.0000 0.0000 3
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+ PROCEDURES 0.0000 0.0000 0.0000 1
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+ ROS 1.0000 0.0909 0.1667 11
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+
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+ accuracy 0.5900 100
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+ macro avg 0.2450 0.2203 0.2001 100
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+ weighted avg 0.6137 0.5900 0.5405 100
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+ |
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+ | 0.6004 | 4.0 | 688 | 0.4568 | precision recall f1-score support
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+
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+ ALLERGY 0.5000 0.2500 0.3333 4
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+ ASSESSMENT 0.0000 0.0000 0.0000 4
171
+ Afib 0.0000 0.0000 0.0000 0
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+ CC 1.0000 0.2500 0.4000 4
173
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
174
+ DISPOSITION 0.0000 0.0000 0.0000 2
175
+ EDCOURSE 0.0000 0.0000 0.0000 3
176
+ EXAM 0.0000 0.0000 0.0000 1
177
+ FAM/SOCHX 0.8462 1.0000 0.9167 22
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+ GENHX 0.6129 0.9500 0.7451 20
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+ GYNHX 0.0000 0.0000 0.0000 1
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+ How are you feeling? 0.0000 0.0000 0.0000 0
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+ I am going home with my son 0.0000 0.0000 0.0000 0
182
+ IMAGING 0.0000 0.0000 0.0000 1
183
+ IMMUNIZATIONS 0.5000 1.0000 0.6667 1
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+ LABS 0.0000 0.0000 0.0000 1
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+ MEDICATIONS 0.6250 0.7143 0.6667 7
186
+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
187
+ PASTMEDICALHX 0.5000 1.0000 0.6667 4
188
+ PASTSURGICAL 1.0000 1.0000 1.0000 8
189
+ PLAN 0.0000 0.0000 0.0000 3
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+ PROCEDURES 0.0000 0.0000 0.0000 1
191
+ ROS 1.0000 0.1818 0.3077 11
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+
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+ accuracy 0.6300 100
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+ macro avg 0.2863 0.2759 0.2479 100
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+ weighted avg 0.6275 0.6300 0.5739 100
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+ |
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+ | 0.6004 | 5.0 | 860 | 0.4503 | precision recall f1-score support
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+
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+ ALLERGY 1.0000 0.2500 0.4000 4
200
+ ASSESSMENT 0.0000 0.0000 0.0000 4
201
+ Afib 0.0000 0.0000 0.0000 0
202
+ CC 0.2222 0.5000 0.3077 4
203
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
204
+ DISPOSITION 0.0000 0.0000 0.0000 2
205
+ EDCOURSE 0.0000 0.0000 0.0000 3
206
+ EXAM 1.0000 1.0000 1.0000 1
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+ FAM/SOCHX 0.8462 1.0000 0.9167 22
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+ GENHX 0.8261 0.9500 0.8837 20
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+ GYNHX 0.0000 0.0000 0.0000 1
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+ How are you feeling? 0.0000 0.0000 0.0000 0
211
+ I am going home with my son 0.0000 0.0000 0.0000 0
212
+ IMAGING 0.0000 0.0000 0.0000 1
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+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
214
+ LABS 0.0000 0.0000 0.0000 1
215
+ MEDICATIONS 0.6250 0.7143 0.6667 7
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+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
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+ PASTMEDICALHX 0.5714 1.0000 0.7273 4
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+ PASTSURGICAL 1.0000 1.0000 1.0000 8
219
+ PLAN 0.0000 0.0000 0.0000 3
220
+ PROCEDURES 0.0000 0.0000 0.0000 1
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+ ROS 0.6667 0.1818 0.2857 11
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+ thoughts 0.0000 0.0000 0.0000 0
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+
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+ accuracy 0.6400 100
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+ macro avg 0.2816 0.2748 0.2578 100
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+ weighted avg 0.6302 0.6400 0.6039 100
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+ |
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+ | 0.1554 | 6.0 | 1032 | 0.4714 | precision recall f1-score support
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+
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+ ALLERGY 1.0000 0.2500 0.4000 4
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+ ASSESSMENT 0.0000 0.0000 0.0000 4
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+ CC 0.0000 0.0000 0.0000 4
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+ DIAGNOSIS 0.0000 0.0000 0.0000 1
234
+ DISPOSITION 0.0000 0.0000 0.0000 2
235
+ EDCOURSE 0.0000 0.0000 0.0000 3
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+ EXAM 0.0000 0.0000 0.0000 1
237
+ FAM/SOCHX 0.8462 1.0000 0.9167 22
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+ GENHX 0.5758 0.9500 0.7170 20
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+ GYNHX 0.0000 0.0000 0.0000 1
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+ How are you feeling? 0.0000 0.0000 0.0000 0
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+ IMAGING 0.0000 0.0000 0.0000 1
242
+ IMMUNIZATIONS 0.3333 1.0000 0.5000 1
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+ LABS 0.0000 0.0000 0.0000 1
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+ MEDICATIONS 0.6250 0.7143 0.6667 7
245
+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
246
+ PASTMEDICALHX 0.3636 1.0000 0.5333 4
247
+ PASTSURGICAL 1.0000 1.0000 1.0000 8
248
+ PLAN 0.0000 0.0000 0.0000 3
249
+ PROCEDURES 0.0000 0.0000 0.0000 1
250
+ ROS 1.0000 0.1818 0.3077 11
251
+
252
+ accuracy 0.6200 100
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+ macro avg 0.2735 0.2903 0.2401 100
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+ weighted avg 0.5929 0.6200 0.5479 100
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+ |
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+ | 0.1554 | 7.0 | 1204 | 0.4865 | precision recall f1-score support
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+
258
+ ALLERGY 1.0000 0.2500 0.4000 4
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+ ASSESSMENT 0.0000 0.0000 0.0000 4
260
+ CC 1.0000 0.5000 0.6667 4
261
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
262
+ DISPOSITION 0.0000 0.0000 0.0000 2
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+ EDCOURSE 0.0000 0.0000 0.0000 3
264
+ EXAM 1.0000 1.0000 1.0000 1
265
+ FAM/SOCHX 0.8696 0.9091 0.8889 22
266
+ GENHX 0.6333 0.9500 0.7600 20
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+ GYNHX 0.0000 0.0000 0.0000 1
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+ IMAGING 0.0000 0.0000 0.0000 1
269
+ IMMUNIZATIONS 0.5000 1.0000 0.6667 1
270
+ LABS 0.0000 0.0000 0.0000 1
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+ MEDICATIONS 0.6250 0.7143 0.6667 7
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+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
273
+ PASTMEDICALHX 0.3636 1.0000 0.5333 4
274
+ PASTSURGICAL 0.8889 1.0000 0.9412 8
275
+ PLAN 0.0000 0.0000 0.0000 3
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+ PROCEDURES 0.0000 0.0000 0.0000 1
277
+ ROS 1.0000 0.1818 0.3077 11
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+
279
+ accuracy 0.6300 100
280
+ macro avg 0.3940 0.3753 0.3416 100
281
+ weighted avg 0.6524 0.6300 0.5840 100
282
+ |
283
+ | 0.1554 | 8.0 | 1376 | 0.4980 | precision recall f1-score support
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+
285
+ ALLERGY 1.0000 0.2500 0.4000 4
286
+ ASSESSMENT 0.0000 0.0000 0.0000 4
287
+ CC 0.6667 0.5000 0.5714 4
288
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
289
+ DISPOSITION 0.0000 0.0000 0.0000 2
290
+ EDCOURSE 0.0000 0.0000 0.0000 3
291
+ EXAM 0.0000 0.0000 0.0000 1
292
+ FAM/SOCHX 0.8800 1.0000 0.9362 22
293
+ GENHX 0.5938 0.9500 0.7308 20
294
+ GYNHX 0.0000 0.0000 0.0000 1
295
+ IMAGING 0.0000 0.0000 0.0000 1
296
+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
297
+ LABS 0.0000 0.0000 0.0000 1
298
+ MEDICATIONS 0.6250 0.7143 0.6667 7
299
+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
300
+ PASTMEDICALHX 0.5714 1.0000 0.7273 4
301
+ PASTSURGICAL 0.8889 1.0000 0.9412 8
302
+ PLAN 0.0000 0.0000 0.0000 3
303
+ PROCEDURES 0.0000 0.0000 0.0000 1
304
+ ROS 0.6667 0.1818 0.2857 11
305
+
306
+ accuracy 0.6300 100
307
+ macro avg 0.2946 0.2798 0.2630 100
308
+ weighted avg 0.5901 0.6300 0.5734 100
309
+ |
310
+ | 0.0947 | 9.0 | 1548 | 0.5413 | precision recall f1-score support
311
+
312
+ ALLERGY 1.0000 0.2500 0.4000 4
313
+ ASSESSMENT 0.0000 0.0000 0.0000 4
314
+ CC 0.4000 0.5000 0.4444 4
315
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
316
+ DISPOSITION 0.0000 0.0000 0.0000 2
317
+ EDCOURSE 0.0000 0.0000 0.0000 3
318
+ EXAM 0.0000 0.0000 0.0000 1
319
+ FAM/SOCHX 0.8462 1.0000 0.9167 22
320
+ GENHX 0.6552 0.9500 0.7755 20
321
+ GYNHX 0.0000 0.0000 0.0000 1
322
+ IMAGING 0.0000 0.0000 0.0000 1
323
+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
324
+ LABS 0.0000 0.0000 0.0000 1
325
+ MEDICATIONS 0.6250 0.7143 0.6667 7
326
+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
327
+ PASTMEDICALHX 0.5000 1.0000 0.6667 4
328
+ PASTSURGICAL 1.0000 1.0000 1.0000 8
329
+ PLAN 0.0000 0.0000 0.0000 3
330
+ PROCEDURES 0.0000 0.0000 0.0000 1
331
+ ROS 1.0000 0.1818 0.3077 11
332
+
333
+ accuracy 0.6300 100
334
+ macro avg 0.3013 0.2798 0.2589 100
335
+ weighted avg 0.6269 0.6300 0.5777 100
336
+ |
337
+ | 0.0947 | 10.0 | 1720 | 0.5247 | precision recall f1-score support
338
+
339
+ ALLERGY 1.0000 0.2500 0.4000 4
340
+ ASSESSMENT 0.0000 0.0000 0.0000 4
341
+ CC 0.4286 0.7500 0.5455 4
342
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
343
+ DISPOSITION 0.0000 0.0000 0.0000 2
344
+ EDCOURSE 0.0000 0.0000 0.0000 3
345
+ EXAM 1.0000 1.0000 1.0000 1
346
+ FAM/SOCHX 0.8400 0.9545 0.8936 22
347
+ GENHX 0.7308 0.9500 0.8261 20
348
+ GYNHX 0.0000 0.0000 0.0000 1
349
+ IMAGING 0.0000 0.0000 0.0000 1
350
+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
351
+ LABS 0.0000 0.0000 0.0000 1
352
+ MEDICATIONS 0.6250 0.7143 0.6667 7
353
+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
354
+ PASTMEDICALHX 0.4000 1.0000 0.5714 4
355
+ PASTSURGICAL 1.0000 1.0000 1.0000 8
356
+ PLAN 0.0000 0.0000 0.0000 3
357
+ PROCEDURES 0.0000 0.0000 0.0000 1
358
+ ROS 0.6667 0.1818 0.2857 11
359
+ thoughts 0.0000 0.0000 0.0000 0
360
+
361
+ accuracy 0.6400 100
362
+ macro avg 0.3186 0.3238 0.2947 100
363
+ weighted avg 0.6112 0.6400 0.5906 100
364
+ |
365
+ | 0.0947 | 11.0 | 1892 | 0.5280 | precision recall f1-score support
366
+
367
+ ALLERGY 0.6667 0.5000 0.5714 4
368
+ ASSESSMENT 0.0000 0.0000 0.0000 4
369
+ CC 0.4000 0.5000 0.4444 4
370
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
371
+ DISPOSITION 0.0000 0.0000 0.0000 2
372
+ EDCOURSE 0.0000 0.0000 0.0000 3
373
+ EXAM 1.0000 1.0000 1.0000 1
374
+ FAM/SOCHX 0.9167 1.0000 0.9565 22
375
+ GENHX 0.5758 0.9500 0.7170 20
376
+ GYNHX 0.0000 0.0000 0.0000 1
377
+ IMAGING 0.0000 0.0000 0.0000 1
378
+ IMMUNIZATIONS 0.0000 0.0000 0.0000 1
379
+ LABS 0.0000 0.0000 0.0000 1
380
+ MEDICATIONS 0.7143 0.7143 0.7143 7
381
+ OTHER_HISTORY 0.0000 0.0000 0.0000 1
382
+ PASTMEDICALHX 0.5714 1.0000 0.7273 4
383
+ PASTSURGICAL 1.0000 1.0000 1.0000 8
384
+ PLAN 0.0000 0.0000 0.0000 3
385
+ PROCEDURES 0.0000 0.0000 0.0000 1
386
+ ROS 0.6667 0.1818 0.2857 11
387
+
388
+ accuracy 0.6500 100
389
+ macro avg 0.3256 0.3423 0.3208 100
390
+ weighted avg 0.5957 0.6500 0.5950 100
391
+ |
392
+ | 0.0587 | 12.0 | 2064 | 0.5994 | precision recall f1-score support
393
+
394
+ ALLERGY 1.0000 0.5000 0.6667 4
395
+ ASSESSMENT 0.0000 0.0000 0.0000 4
396
+ CC 0.5714 1.0000 0.7273 4
397
+ DIAGNOSIS 0.0000 0.0000 0.0000 1
398
+ DISPOSITION 0.0000 0.0000 0.0000 2
399
+ EDCOURSE 0.0000 0.0000 0.0000 3
400
+ EXAM 1.0000 1.0000 1.0000 1
401
+ FAM/SOCHX 0.8462 1.0000 0.9167 22
402
+ GENHX 0.6667 1.0000 0.8000 20
403
+ GYNHX 0.0000 0.0000 0.0000 1
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+ IMAGING 0.0000 0.0000 0.0000 1
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+ |
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+
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+ ### Framework versions
640
+
641
+ - Transformers 4.38.2
642
+ - Pytorch 2.1.0+cu121
643
+ - Datasets 2.18.0
644
+ - Tokenizers 0.15.2
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