--- tags: - generated_from_trainer datasets: - skript model-index: - name: bert-base-NER-reptile-5-datasets-finetuned-ner results: [] --- # bert-base-NER-reptile-5-datasets-finetuned-ner This model is a fine-tuned version of [sberbank-ai/bert-base-NER-reptile-5-datasets](https://huggingface.co/sberbank-ai/bert-base-NER-reptile-5-datasets) on the skript dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | No log | 1.0 | 298 | 0.4198 | 0.6385 | 0.5297 | 0.5790 | 0.8699 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.12.0+cu113 - Datasets 2.4.0 - Tokenizers 0.12.1