--- base_model: houdini001/BERT2BERT_try tags: - generated_from_trainer model-index: - name: BERT2BERT_try_ep11 results: [] --- # BERT2BERT_try_ep11 This model is a fine-tuned version of [houdini001/BERT2BERT_try](https://huggingface.co/houdini001/BERT2BERT_try) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0240 ## 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: 5e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.012 | 1.57 | 1000 | 0.0237 | | 0.0024 | 3.14 | 2000 | 0.0238 | | 0.0009 | 4.72 | 3000 | 0.0234 | | 0.0004 | 6.29 | 4000 | 0.0240 | | 0.0003 | 7.86 | 5000 | 0.0237 | | 0.0003 | 9.43 | 6000 | 0.0240 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.0 - Tokenizers 0.15.2