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--- |
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license: apache-2.0 |
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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_havest_0005 |
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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_havest_0005 |
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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: 6.4115 |
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- Train Accuracy: 0.0115 |
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- Train Do Wer: 1.0 |
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- Validation Loss: 6.2357 |
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- Validation Accuracy: 0.0115 |
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- Validation Do Wer: 1.0 |
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- Epoch: 4 |
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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 Do Wer | Validation Loss | Validation Accuracy | Validation Do Wer | Epoch | |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| |
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| 9.9191 | 0.0046 | 1.0 | 8.5836 | 0.0067 | 1.0 | 0 | |
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| 8.0709 | 0.0083 | 1.0 | 7.4667 | 0.0089 | 1.0 | 1 | |
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| 7.1652 | 0.0100 | 1.0 | 6.8204 | 0.0112 | 1.0 | 2 | |
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| 6.7196 | 0.0114 | 1.0 | 6.5192 | 0.0114 | 1.0 | 3 | |
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| 6.4115 | 0.0115 | 1.0 | 6.2357 | 0.0115 | 1.0 | 4 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- TensorFlow 2.9.2 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.2 |
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