--- library_name: transformers tags: - generated_from_trainer model-index: - name: seq2seq-plm-bpe results: [] --- [Visualize in Weights & Biases](https://wandb.ai/flursky/ProteinLanguageModeling/runs/rdjde597) # seq2seq-plm-bpe This model is a fine-tuned version of [](https://huggingface.co/) on an unknown 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: 0.0003 - train_batch_size: 96 - eval_batch_size: 96 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 192 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2000 - num_epochs: 15 ### Framework versions - Transformers 4.44.2 - Pytorch 2.2.1 - Datasets 3.0.0 - Tokenizers 0.19.1