| | --- |
| | license: mit |
| | base_model: cointegrated/rubert-tiny2 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: 128Bert |
| | 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. --> |
| |
|
| | # 128Bert |
| |
|
| | This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8346 |
| | - Accuracy: 0.7033 |
| |
|
| | ## 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: 128 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - 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 | Accuracy | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | | 1.1934 | 1.0 | 2074 | 1.1488 | 0.6027 | |
| | | 1.0626 | 2.0 | 4148 | 1.0247 | 0.6459 | |
| | | 0.9729 | 3.0 | 6222 | 0.9483 | 0.6658 | |
| | | 0.908 | 4.0 | 8296 | 0.9041 | 0.6811 | |
| | | 0.8684 | 5.0 | 10370 | 0.8771 | 0.6897 | |
| | | 0.8348 | 6.0 | 12444 | 0.8593 | 0.6956 | |
| | | 0.8055 | 7.0 | 14518 | 0.8507 | 0.6991 | |
| | | 0.7924 | 8.0 | 16592 | 0.8410 | 0.7017 | |
| | | 0.7857 | 9.0 | 18666 | 0.8349 | 0.7037 | |
| | | 0.7732 | 10.0 | 20740 | 0.8346 | 0.7033 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.40.1 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
| |
|
