Text Classification
Transformers
Safetensors
layoutlmv3
document-classification
medical-documents
model2aa
Generated from Trainer
Instructions to use neuralit/layoutlmv3-large-model2aa-visit-vs-progress with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralit/layoutlmv3-large-model2aa-visit-vs-progress with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralit/layoutlmv3-large-model2aa-visit-vs-progress")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("neuralit/layoutlmv3-large-model2aa-visit-vs-progress") model = AutoModelForSequenceClassification.from_pretrained("neuralit/layoutlmv3-large-model2aa-visit-vs-progress") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "final_epoch": 3.0, | |
| "final_eval_accuracy": 0.8680184987548915, | |
| "final_eval_f1_progress_follow_up_note": 0.8676418123439172, | |
| "final_eval_f1_visit_note_multiple_notes": 0.868393047179851, | |
| "final_eval_loss": 0.39587754011154175, | |
| "final_eval_macro_f1": 0.8680174297618841, | |
| "final_eval_macro_precision": 0.8680456837373185, | |
| "final_eval_macro_recall": 0.8680263072636558, | |
| "final_eval_precision_progress_follow_up_note": 0.8716845878136201, | |
| "final_eval_precision_visit_note_multiple_notes": 0.864406779661017, | |
| "final_eval_recall_progress_follow_up_note": 0.8636363636363636, | |
| "final_eval_recall_visit_note_multiple_notes": 0.872416250890948, | |
| "final_eval_runtime": 103.357, | |
| "final_eval_samples_per_second": 27.197, | |
| "final_eval_steps_per_second": 27.197, | |
| "final_eval_weighted_f1": 0.8680167616412545, | |
| "total_flos": 7.083979991829504e+16, | |
| "train_loss": 0.056272623582759036, | |
| "train_runtime": 2232.9044, | |
| "train_samples_per_second": 33.931, | |
| "train_steps_per_second": 2.121 | |
| } |