metadata
license: apache-2.0
language:
- ru
base_model:
- google-bert/bert-base-multilingual-cased
metrics:
- eval_loss
- eval_precision
- eval_recall
- eval_f1
- eval_runtime
- eval_samples_per_second
- eval_steps_per_second
model-index:
- name: bert_realestate_rus
results:
- task:
type: token-classification
dataset:
type: custom
name: own_main_test_dataset
metrics:
- name: eval_loss
type: eval_loss
value: 0.04553
verified: false
- name: eval_precision
type: eval_precision
value: 0.99006
verified: false
- name: eval_recall
type: eval_recall
value: 0.99416
verified: false
- name: eval_f1
type: eval_f1
value: 0.99211
verified: false
Model Features:
- Based on BERT architecture.
- Fine-tuned and optimized on annotated data in CoNLL format with real estate-specific labels.