| library_name: peft | |
| license: apache-2.0 | |
| base_model: google-bert/bert-base-uncased | |
| tags: | |
| - base_model:adapter:google-bert/bert-base-uncased | |
| - lora | |
| - transformers | |
| model-index: | |
| - name: checkworthy-binary-classification-training-1755585731 | |
| 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. --> | |
| # checkworthy-binary-classification-training-1755585731 | |
| This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset. | |
| ## 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: 2.1106713456200193e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 16 | |
| - optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9348819720458172,0.9285998615546803) and epsilon=1.9972958061508847e-07 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: polynomial | |
| - lr_scheduler_warmup_ratio: 0.12890328790683203 | |
| - lr_scheduler_warmup_steps: 488 | |
| - num_epochs: 40 | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.17.0 | |
| - Transformers 4.55.2 | |
| - Pytorch 2.6.0+cu124 | |
| - Datasets 4.0.0 | |
| - Tokenizers 0.21.4 |