| ---
|
| library_name: transformers
|
| base_model: DeepPavlov/rubert-base-cased
|
| tags:
|
| - generated_from_trainer
|
| metrics:
|
| - f1
|
| model-index:
|
| - name: pollen-re-model
|
| 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. -->
|
|
|
| # pollen-re-model
|
|
|
| This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the None dataset.
|
| It achieves the following results on the evaluation set:
|
| - Loss: 0.5235
|
| - F1: 0.8505
|
|
|
| ## 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: 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
|
| - num_epochs: 5
|
|
|
| ### Training results
|
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 |
|
| |:-------------:|:-----:|:----:|:---------------:|:------:|
|
| | No log | 1.0 | 422 | 0.6813 | 0.3148 |
|
| | 0.6396 | 2.0 | 844 | 0.6553 | 0.4260 |
|
| | 0.6787 | 3.0 | 1266 | 0.5011 | 0.5496 |
|
| | 0.4929 | 4.0 | 1688 | 0.5218 | 0.6561 |
|
| | 0.3969 | 5.0 | 2110 | 0.5235 | 0.8505 |
|
|
|
|
|
| ### Framework versions
|
|
|
| - Transformers 4.51.3
|
| - Pytorch 2.7.0+cu128
|
| - Datasets 3.5.0
|
| - Tokenizers 0.21.1
|
|
|
