| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| datasets: |
| - Hartunka/processed_wikitext-103-raw-v1-rand-50_v2 |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert_base_rand_50_v2 |
| results: |
| - task: |
| name: Masked Language Modeling |
| type: fill-mask |
| dataset: |
| name: Hartunka/processed_wikitext-103-raw-v1-rand-50_v2 |
| type: Hartunka/processed_wikitext-103-raw-v1-rand-50_v2 |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.151748883991637 |
| --- |
| |
| <!-- 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_rand_50_v2 |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-rand-50_v2 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 10.1382 |
| - Accuracy: 0.1517 |
|
|
| ## 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 | |
| |:-------------:|:-------:|:-----:|:---------------:|:--------:| |
| | 9.9441 | 4.1982 | 10000 | 10.1116 | 0.1491 | |
| | 8.9223 | 8.3963 | 20000 | 10.7880 | 0.1528 | |
| | 7.6087 | 12.5945 | 30000 | 11.9659 | 0.1540 | |
| | 6.6937 | 16.7926 | 40000 | 13.0278 | 0.1506 | |
| | 6.355 | 20.9908 | 50000 | 13.7891 | 0.1520 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.50.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.21.1 |
| |
