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
File size: 1,183 Bytes
29402ce | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"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
} |