--- tags: - generated_from_trainer model-index: - name: tuned_DistilBERT_after_big results: [] --- # tuned_DistilBERT_after_big This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3262 ## 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: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.05 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:------:|:---------------:| | 2.4817 | 1.0 | 12404 | 2.0606 | | 2.2486 | 2.0 | 24808 | 1.7253 | | 2.0827 | 3.0 | 37212 | 1.4989 | | 1.8461 | 4.0 | 49616 | 1.1537 | | 1.6012 | 5.0 | 62020 | 0.9233 | | 1.3225 | 6.0 | 74424 | 0.7399 | | 1.0718 | 7.0 | 86828 | 0.5874 | | 0.9104 | 8.0 | 99232 | 0.4252 | | 0.754 | 9.0 | 111636 | 0.3732 | | 0.8686 | 10.0 | 124040 | 0.3262 | ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1