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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: whisper_input_decoder_no_lob_with_force__0010 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# whisper_input_decoder_no_lob_with_force__0010 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 4.5219 |
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- Train Accuracy: 0.0120 |
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- Train Wermet: 0.7679 |
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- Validation Loss: 3.7776 |
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- Validation Accuracy: 0.0117 |
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- Validation Wermet: 0.8829 |
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- Epoch: 9 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch | |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| |
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| 5.4192 | 0.0107 | 1.1095 | 3.9799 | 0.0114 | 0.9502 | 0 | |
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| 4.7193 | 0.0116 | 0.8751 | 3.9335 | 0.0114 | 0.9414 | 1 | |
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| 4.6743 | 0.0117 | 0.8498 | 3.9949 | 0.0112 | 0.9682 | 2 | |
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| 4.6508 | 0.0117 | 0.8454 | 3.8900 | 0.0114 | 0.9453 | 3 | |
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| 4.6308 | 0.0118 | 0.8337 | 3.8853 | 0.0114 | 0.9495 | 4 | |
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| 4.6102 | 0.0118 | 0.8215 | 3.8884 | 0.0115 | 0.9205 | 5 | |
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| 4.5940 | 0.0118 | 0.8132 | 3.8409 | 0.0116 | 0.9007 | 6 | |
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| 4.5703 | 0.0119 | 0.7971 | 3.8224 | 0.0116 | 0.9098 | 7 | |
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| 4.5470 | 0.0120 | 0.7822 | 3.8013 | 0.0116 | 0.8938 | 8 | |
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| 4.5219 | 0.0120 | 0.7679 | 3.7776 | 0.0117 | 0.8829 | 9 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- TensorFlow 2.13.0 |
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- Tokenizers 0.13.3 |
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