--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_keras_callback model-index: - name: whisper_input_decoder_equal_labels_no_force__0005 results: [] --- # whisper_input_decoder_equal_labels_no_force__0005 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.0018 - Train Accuracy: 0.0362 - Train Wermet: 23.1500 - Validation Loss: 0.0013 - Validation Accuracy: 0.0266 - Validation Wermet: 44.9304 - Epoch: 4 ## 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': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch | |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| | 0.7688 | 0.0332 | 32.0424 | 0.0164 | 0.0265 | 57.8712 | 0 | | 0.0114 | 0.0362 | 31.1067 | 0.0062 | 0.0266 | 54.8371 | 1 | | 0.0048 | 0.0362 | 27.0610 | 0.0030 | 0.0266 | 50.1428 | 2 | | 0.0027 | 0.0362 | 24.9672 | 0.0018 | 0.0266 | 48.0741 | 3 | | 0.0018 | 0.0362 | 23.1500 | 0.0013 | 0.0266 | 44.9304 | 4 | ### Framework versions - Transformers 4.33.0.dev0 - TensorFlow 2.13.0 - Tokenizers 0.13.3