--- license: apache-2.0 base_model: google/mt5-small tags: - generated_from_keras_callback model-index: - name: Theosphil/llm_finetune results: [] --- # Theosphil/llm_finetune 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: 4.2916 - Validation Loss: 3.4275 - Epoch: 6 ## 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 9672, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: mixed_float16 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 10.5150 | 4.8716 | 0 | | 6.3881 | 3.9782 | 1 | | 5.4626 | 3.6689 | 2 | | 4.9547 | 3.5794 | 3 | | 4.6427 | 3.5089 | 4 | | 4.4250 | 3.4555 | 5 | | 4.2916 | 3.4275 | 6 | ### Framework versions - Transformers 4.32.1 - TensorFlow 2.12.0 - Datasets 2.14.4 - Tokenizers 0.13.3