--- license: apache-2.0 base_model: google/mt5-small tags: - generated_from_keras_callback model-index: - name: s-man2099/google-mt5-small-good results: [] --- # s-man2099/google-mt5-small-good This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 20.3587 - Validation Loss: 12.0966 - Epoch: 0 ## 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: - optimizer: {'name': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5.9999998e-06, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True} - training_precision: mixed_float16 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 20.3587 | 12.0966 | 0 | ### Framework versions - Transformers 4.34.1 - TensorFlow 2.13.0 - Datasets 2.14.5 - Tokenizers 0.14.1