| | --- |
| | library_name: transformers |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - Hartunka/processed_wikitext-103-raw-v1-km-5 |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: bert_base_km_5_v1 |
| | results: |
| | - task: |
| | name: Masked Language Modeling |
| | type: fill-mask |
| | dataset: |
| | name: Hartunka/processed_wikitext-103-raw-v1-km-5 |
| | type: Hartunka/processed_wikitext-103-raw-v1-km-5 |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.15609990393852066 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # bert_base_km_5_v1 |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-km-5 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 6.2730 |
| | - Accuracy: 0.1561 |
| | |
| | ## 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: 0.0001 |
| | - train_batch_size: 96 |
| | - eval_batch_size: 96 |
| | - seed: 10 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 10000 |
| | - num_epochs: 25 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-------:|:-----:|:---------------:|:--------:| |
| | | 6.3769 | 4.1982 | 10000 | 6.4333 | 0.1513 | |
| | | 6.0652 | 8.3963 | 20000 | 6.2702 | 0.1524 | |
| | | 5.9267 | 12.5945 | 30000 | 6.2087 | 0.1547 | |
| | | 5.8377 | 16.7926 | 40000 | 6.2102 | 0.1531 | |
| | | 5.7915 | 20.9908 | 50000 | 6.2069 | 0.1533 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.50.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.21.1 |
| |
|
