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End of training
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metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
  - generated_from_trainer
model-index:
  - name: t5-dialogue-classification
    results: []

t5-dialogue-classification

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2827

  • Classification Report: precision recall f1-score support

    ALLERGY       1.00      0.92      0.96        12
    

    ASSESSMENT 0.14 0.09 0.11 11 CC 0.35 0.55 0.43 11 DIAGNOSIS 0.00 0.00 0.00 1 DISPOSITION 1.00 1.00 1.00 1 EDCOURSE 0.00 0.00 0.00 4 EXAM 0.40 0.40 0.40 5 FAM/SOCHX 0.88 0.96 0.91 45 GENHX 0.77 0.83 0.80 53 GYNHX 0.00 0.00 0.00 1 IMAGING 0.00 0.00 0.00 1

IMMUNIZATIONS 0.00 0.00 0.00 1 LABS 0.00 0.00 0.00 1 MEDICATIONS 0.83 1.00 0.91 10 OTHER_HISTORY 0.00 0.00 0.00 3 PASTMEDICALHX 0.58 0.79 0.67 14 PASTSURGICAL 1.00 0.86 0.92 7 PLAN 0.00 0.00 0.00 1 PROCEDURES 0.00 0.00 0.00 1 ROS 0.85 0.65 0.73 17

 accuracy                           0.73       200
macro avg       0.39      0.40      0.39       200

weighted avg 0.69 0.73 0.71 200

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: 0.0003
  • train_batch_size: 8
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Classification Report
No log 1.0 163 0.3372 precision recall f1-score support
  ALLERGY       1.00      0.92      0.96        12

ASSESSMENT 0.00 0.00 0.00 11 CC 0.20 0.09 0.13 11 DIAGNOSIS 0.00 0.00 0.00 1 DISPOSITION 0.00 0.00 0.00 1 EDCOURSE 0.00 0.00 0.00 4 EXAM 0.50 0.20 0.29 5 FAM/SOCHX 0.90 0.96 0.92 45 GENHX 0.63 0.77 0.69 53 GYNHX 0.00 0.00 0.00 1 IMAGING 0.00 0.00 0.00 1 IMMUNIZATIONS 0.00 0.00 0.00 1 LABS 0.00 0.00 0.00 1 MEDICATIONS 0.83 1.00 0.91 10 OTHER_HISTORY 0.00 0.00 0.00 3 PASTMEDICALHX 0.31 0.64 0.42 14 PASTSURGICAL 0.78 1.00 0.88 7 PLAN 0.00 0.00 0.00 1 PROCEDURES 0.00 0.00 0.00 1 ROS 0.75 0.35 0.48 17

 accuracy                           0.65       200
macro avg       0.29      0.30      0.28       200

weighted avg 0.61 0.65 0.61 200 | | No log | 2.0 | 326 | 0.2335 | precision recall f1-score support

  ALLERGY       1.00      0.92      0.96        12

ASSESSMENT 0.00 0.00 0.00 11 CC 0.26 0.55 0.35 11 DIAGNOSIS 0.00 0.00 0.00 1 DISPOSITION 0.00 0.00 0.00 1 EDCOURSE 0.00 0.00 0.00 4 EXAM 0.67 0.40 0.50 5 FAM/SOCHX 0.88 0.96 0.91 45 GENHX 0.79 0.87 0.83 53 GYNHX 0.00 0.00 0.00 1 IMAGING 0.00 0.00 0.00 1 IMMUNIZATIONS 0.00 0.00 0.00 1 LABS 0.00 0.00 0.00 1 MEDICATIONS 0.83 1.00 0.91 10 OTHER_HISTORY 0.00 0.00 0.00 3 PASTMEDICALHX 0.46 0.79 0.58 14 PASTSURGICAL 1.00 0.86 0.92 7 PLAN 0.00 0.00 0.00 1 PROCEDURES 0.00 0.00 0.00 1 ROS 0.83 0.59 0.69 17

 accuracy                           0.73       200
macro avg       0.34      0.35      0.33       200

weighted avg 0.68 0.72 0.69 200 | | No log | 3.0 | 489 | 0.2770 | precision recall f1-score support

  ALLERGY       1.00      0.92      0.96        12

ASSESSMENT 0.00 0.00 0.00 11 CC 0.26 0.45 0.33 11 DIAGNOSIS 0.00 0.00 0.00 1 DISPOSITION 0.00 0.00 0.00 1 EDCOURSE 0.00 0.00 0.00 4 EXAM 0.50 0.40 0.44 5 FAM/SOCHX 0.88 0.96 0.91 45 GENHX 0.75 0.85 0.80 53 GYNHX 0.00 0.00 0.00 1 IMAGING 0.00 0.00 0.00 1 IMMUNIZATIONS 0.00 0.00 0.00 1 LABS 0.00 0.00 0.00 1 MEDICATIONS 0.83 1.00 0.91 10 OTHER_HISTORY 0.00 0.00 0.00 3 PASTMEDICALHX 0.43 0.64 0.51 14 PASTSURGICAL 0.78 1.00 0.88 7 PLAN 0.00 0.00 0.00 1 PROCEDURES 0.00 0.00 0.00 1 ROS 0.79 0.65 0.71 17

 accuracy                           0.71       200
macro avg       0.31      0.34      0.32       200

weighted avg 0.65 0.71 0.68 200 | | 0.3713 | 4.0 | 652 | 0.2746 | precision recall f1-score support

  ALLERGY       1.00      0.92      0.96        12

ASSESSMENT 0.11 0.09 0.10 11 CC 0.35 0.55 0.43 11 DIAGNOSIS 0.00 0.00 0.00 1 DISPOSITION 1.00 1.00 1.00 1 EDCOURSE 0.00 0.00 0.00 4 EXAM 0.25 0.20 0.22 5 FAM/SOCHX 0.88 0.93 0.90 45 GENHX 0.86 0.83 0.85 53 GYNHX 0.00 0.00 0.00 1 IMAGING 0.00 0.00 0.00 1 IMMUNIZATIONS 0.00 0.00 0.00 1 LABS 0.00 0.00 0.00 1 MEDICATIONS 0.83 1.00 0.91 10 OTHER_HISTORY 0.00 0.00 0.00 3 PASTMEDICALHX 0.52 0.79 0.63 14 PASTSURGICAL 1.00 1.00 1.00 7 PLAN 0.00 0.00 0.00 1 PROCEDURES 0.00 0.00 0.00 1 ROS 0.86 0.71 0.77 17

 accuracy                           0.73       200
macro avg       0.38      0.40      0.39       200

weighted avg 0.71 0.73 0.71 200 | | 0.3713 | 5.0 | 815 | 0.2827 | precision recall f1-score support

  ALLERGY       1.00      0.92      0.96        12

ASSESSMENT 0.14 0.09 0.11 11 CC 0.35 0.55 0.43 11 DIAGNOSIS 0.00 0.00 0.00 1 DISPOSITION 1.00 1.00 1.00 1 EDCOURSE 0.00 0.00 0.00 4 EXAM 0.40 0.40 0.40 5 FAM/SOCHX 0.88 0.96 0.91 45 GENHX 0.77 0.83 0.80 53 GYNHX 0.00 0.00 0.00 1 IMAGING 0.00 0.00 0.00 1 IMMUNIZATIONS 0.00 0.00 0.00 1 LABS 0.00 0.00 0.00 1 MEDICATIONS 0.83 1.00 0.91 10 OTHER_HISTORY 0.00 0.00 0.00 3 PASTMEDICALHX 0.58 0.79 0.67 14 PASTSURGICAL 1.00 0.86 0.92 7 PLAN 0.00 0.00 0.00 1 PROCEDURES 0.00 0.00 0.00 1 ROS 0.85 0.65 0.73 17

 accuracy                           0.73       200
macro avg       0.39      0.40      0.39       200

weighted avg 0.69 0.73 0.71 200 |

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0