| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | base_model: cointegrated/rubert-tiny2 |
| | model-index: |
| | - name: war-tiny-bert |
| | 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. --> |
| |
|
| | # war-tiny-bert |
| |
|
| | This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3438 |
| | - F1: 0.6929 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 21 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | | 0.3216 | 1.0 | 2500 | 0.2645 | 0.5988 | |
| | | 0.2388 | 2.0 | 5000 | 0.2379 | 0.6496 | |
| | | 0.2067 | 3.0 | 7500 | 0.2375 | 0.6696 | |
| | | 0.1822 | 4.0 | 10000 | 0.2553 | 0.6740 | |
| | | 0.1661 | 5.0 | 12500 | 0.2770 | 0.6725 | |
| | | 0.1509 | 6.0 | 15000 | 0.2853 | 0.6965 | |
| | | 0.1423 | 7.0 | 17500 | 0.3187 | 0.6765 | |
| | | 0.1322 | 8.0 | 20000 | 0.3277 | 0.6958 | |
| | | 0.1256 | 9.0 | 22500 | 0.3411 | 0.6909 | |
| | | 0.1224 | 10.0 | 25000 | 0.3438 | 0.6929 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| |
|
