--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Prgrg/ja-en-dataset-v3.0-subset-v3.0 results: [] --- # Prgrg/ja-en-dataset-v3.0-subset-v3.0 This model is a fine-tuned version of [Prgrg/ja-en-dataset-v3.0-subset-v2.0](https://huggingface.co/Prgrg/ja-en-dataset-v3.0-subset-v2.0) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 1.1261 - Validation Loss: 1.1683 - 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': 'Adam', 'weight_decay': 0.0, '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': {'class_name': 'LinearWarmupCosineSchedule', 'config': {'initial_learning_rate': 0.0001, 'num_warmup_steps': 28181, 'num_training_steps': 281814}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: mixed_float16 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 1.1261 | 1.1683 | 0 | ### Framework versions - Transformers 4.27.3 - TensorFlow 2.11.0 - Datasets 2.10.1 - Tokenizers 0.13.2