| base_model: ai-forever/ruRoberta-large | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - precision | |
| - recall | |
| - f1 | |
| model-index: | |
| - name: out | |
| 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. --> | |
| # out | |
| This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5844 | |
| - Accuracy: 0.7432 | |
| - Precision: 0.5523 | |
| - Recall: 0.7432 | |
| - F1: 0.6337 | |
| ## 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: 5e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 0 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| | |
| | 0.3721 | 1.82 | 500 | 0.5791 | 0.7432 | 0.5523 | 0.7432 | 0.6337 | | |
| | 0.6021 | 3.64 | 1000 | 0.5844 | 0.7432 | 0.5523 | 0.7432 | 0.6337 | | |
| ### Framework versions | |
| - Transformers 4.33.1 | |
| - Pytorch 2.0.1 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |