| library_name: transformers | |
| base_model: DeepPavlov/rubert-base-cased-conversational | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: bert_ner_output | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # bert_ner_output | |
| This model is a fine-tuned version of [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0114 | |
| - Precision: 0.9004 | |
| - Recall: 0.9049 | |
| - F1: 0.9026 | |
| - Accuracy: 0.9972 | |
| ## 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: 32 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.0038 | 1.0 | 6119 | 0.0109 | 0.8962 | 0.9070 | 0.9016 | 0.9972 | | |
| | 0.0193 | 2.0 | 12238 | 0.0114 | 0.9004 | 0.9049 | 0.9026 | 0.9972 | | |
| ### Framework versions | |
| - Transformers 4.46.2 | |
| - Pytorch 2.5.1+cu121 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.20.3 | |