| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: rubert-base-srl |
| | 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-srl |
| |
|
| | This model is a fine-tuned version of [./ruBert-base/](https://huggingface.co/./ruBert-base/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2429 |
| | - F1: 0.9563 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.06 |
| | - num_epochs: 10.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 0.5816 | 1.0 | 57 | 0.3865 | 0.8371 | |
| | | 0.3685 | 2.0 | 114 | 0.1707 | 0.9325 | |
| | | 0.1057 | 3.0 | 171 | 0.0972 | 0.9563 | |
| | | 0.0964 | 4.0 | 228 | 0.1429 | 0.9775 | |
| | | 0.1789 | 5.0 | 285 | 0.2493 | 0.9457 | |
| | | 0.0016 | 6.0 | 342 | 0.1900 | 0.6349 | |
| | | 0.0013 | 7.0 | 399 | 0.2060 | 0.9563 | |
| | | 0.0008 | 8.0 | 456 | 0.2321 | 0.9563 | |
| | | 0.0006 | 9.0 | 513 | 0.2412 | 0.9563 | |
| | | 0.0006 | 10.0 | 570 | 0.2429 | 0.9563 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.13.0.dev0 |
| | - Pytorch 1.10.0+cu102 |
| | - Datasets 1.15.1 |
| | - Tokenizers 0.10.3 |
| | |
