--- license: apache-2.0 base_model: google/mt5-base tags: - generated_from_trainer model-index: - name: mt5-base-finetuned-mt5-base-poem4Final results: [] --- # mt5-base-finetuned-mt5-base-poem4Final This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: nan ## 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 121 | nan | | No log | 2.0 | 242 | nan | | No log | 3.0 | 363 | nan | | No log | 4.0 | 484 | nan | | 0.0 | 5.0 | 605 | nan | | 0.0 | 6.0 | 726 | nan | | 0.0 | 7.0 | 847 | nan | | 0.0 | 8.0 | 968 | nan | | 0.0 | 9.0 | 1089 | nan | | 0.0 | 10.0 | 1210 | nan | | 0.0 | 11.0 | 1331 | nan | | 0.0 | 12.0 | 1452 | nan | | 0.0 | 13.0 | 1573 | nan | | 0.0 | 14.0 | 1694 | nan | | 0.0 | 15.0 | 1815 | nan | | 0.0 | 16.0 | 1936 | nan | | 0.0 | 17.0 | 2057 | nan | | 0.0 | 18.0 | 2178 | nan | | 0.0 | 19.0 | 2299 | nan | | 0.0 | 20.0 | 2420 | nan | ### Framework versions - Transformers 4.41.0 - Pytorch 2.2.1+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1