| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: ai-forever/ruElectra-large |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: electra_test |
| | 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. --> |
| |
|
| | # electra_test |
| | |
| | This model is a fine-tuned version of [ai-forever/ruElectra-large](https://huggingface.co/ai-forever/ruElectra-large) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.0062 |
| | - F1: 0.7532 |
| | |
| | ## 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: 64 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 4 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 0.5713 | 1.0 | 515 | 0.5318 | 0.7528 | |
| | | 0.4262 | 2.0 | 1030 | 0.6691 | 0.7530 | |
| | | 0.256 | 3.0 | 1545 | 0.7394 | 0.7635 | |
| | | 0.1025 | 4.0 | 2060 | 1.0062 | 0.7532 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.45.1 |
| | - Pytorch 2.4.0 |
| | - Datasets 3.0.1 |
| | - Tokenizers 0.20.0 |
| | |
