| library_name: transformers | |
| license: apache-2.0 | |
| base_model: google/muril-base-cased | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| - precision | |
| - recall | |
| model-index: | |
| - name: results | |
| 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. --> | |
| # results | |
| This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.8564 | |
| - Accuracy: 0.8761 | |
| - F1: 0.8755 | |
| - Precision: 0.8892 | |
| - Recall: 0.8761 | |
| ## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 100 | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| | |
| | 1.3029 | 1.0 | 339 | 1.1999 | 0.5634 | 0.4575 | 0.4881 | 0.5634 | | |
| | 1.0073 | 2.0 | 678 | 0.9380 | 0.7168 | 0.6836 | 0.7627 | 0.7168 | | |
| | 0.8519 | 3.0 | 1017 | 0.8564 | 0.8761 | 0.8755 | 0.8892 | 0.8761 | | |
| ### Framework versions | |
| - Transformers 4.56.2 | |
| - Pytorch 2.7.1+cpu | |
| - Datasets 4.2.0 | |
| - Tokenizers 0.22.1 | |