Text Classification
Transformers
Safetensors
layoutlmv3
document-classification
medical-documents
model2b
Generated from Trainer
Instructions to use neuralit/layoutlmv3-large-model2b-radiology-lab-operative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralit/layoutlmv3-large-model2b-radiology-lab-operative with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralit/layoutlmv3-large-model2b-radiology-lab-operative")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("neuralit/layoutlmv3-large-model2b-radiology-lab-operative") model = AutoModelForSequenceClassification.from_pretrained("neuralit/layoutlmv3-large-model2b-radiology-lab-operative", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "final_epoch": 3.0, | |
| "final_eval_accuracy": 0.9689203925845147, | |
| "final_eval_f1_lab_report": 0.9628406275805119, | |
| "final_eval_f1_operative_report": 0.9715242881072027, | |
| "final_eval_f1_radiology_report": 0.9720430107526882, | |
| "final_eval_loss": 0.1427270472049713, | |
| "final_eval_macro_f1": 0.9688026421468009, | |
| "final_eval_macro_precision": 0.9679900085044105, | |
| "final_eval_macro_recall": 0.9696347790290774, | |
| "final_eval_precision_lab_report": 0.9588815789473685, | |
| "final_eval_precision_operative_report": 0.9698996655518395, | |
| "final_eval_precision_radiology_report": 0.9751887810140237, | |
| "final_eval_recall_lab_report": 0.966832504145937, | |
| "final_eval_recall_operative_report": 0.9731543624161074, | |
| "final_eval_recall_radiology_report": 0.9689174705251876, | |
| "final_eval_runtime": 74.9471, | |
| "final_eval_samples_per_second": 24.471, | |
| "final_eval_steps_per_second": 24.471, | |
| "final_eval_weighted_f1": 0.9689330781457215, | |
| "total_flos": 4.625429557128192e+16, | |
| "train_loss": 0.13503855510683765, | |
| "train_runtime": 5596.7286, | |
| "train_samples_per_second": 8.839, | |
| "train_steps_per_second": 0.553 | |
| } |