tags:
- name: dataset
description: Custom dataset of air waybill data - name: task description: Named entity recognition license: apache-2.0 metrics:
- name: Training Loss description: Training loss at step 1000 value: 0.291900
- name: Validation Loss
description: Validation loss at step 1000
value: 0.494676 - name: F1 description: F1 score on validation set at step 1000 value: 0.895158
- name: Precision description: Precision on validation set at step 1000 value: 0.404255
- name: Recall description: Recall on validation set at step 1000 value: 0.284431
- name: F1 description: F1 score on validation set at step 1000 value: 0.333919
- name: Accuracy description: Accuracy on validation set at step 1000 value: 0.895158 evaluation: Evaluation was done on a custom validation set of air waybill data at step 1000, with tags including shipper name, address, AWB number, pickup airport, etc. The model achieved an F1 score of 0.33 on this dataset. training: Model was trained on a custom dataset of air waybill data for 1000 steps. The training loss at the last step was 0.29 and validation loss was 0.49. biases:
- The model may not generalize well to other domains besides air waybill data.
- The model may incorrectly label entities not present in the training data.