| base_model: DeepPavlov/rubert-base-cased-conversational | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: rubert-base-cased-conversational_ner-v3 | |
| 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. --> | |
| # rubert-base-cased-conversational_ner-v3 | |
| This model is a fine-tuned version of [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1204 | |
| - Precision: 0.7484 | |
| - Recall: 0.7987 | |
| - F1: 0.7727 | |
| - Accuracy: 0.9242 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | No log | 1.0 | 75 | 0.2186 | 0.4860 | 0.5839 | 0.5305 | 0.8634 | | |
| | No log | 2.0 | 150 | 0.1380 | 0.6886 | 0.7718 | 0.7278 | 0.9200 | | |
| | No log | 3.0 | 225 | 0.1204 | 0.7484 | 0.7987 | 0.7727 | 0.9242 | | |
| ### Framework versions | |
| - Transformers 4.33.1 | |
| - Pytorch 2.0.1 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |