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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_wermet_nosup_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_wermet_nosup_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: 1.4268 |
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- Train Accuracy: 0.0262 |
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- Train Wermet: 23.3380 |
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- Validation Loss: 1.2097 |
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- Validation Accuracy: 0.0279 |
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- Validation Wermet: 18.7331 |
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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 Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch | |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| |
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| 5.0860 | 0.0116 | 45.4352 | 4.4455 | 0.0124 | 36.1611 | 0 | |
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| 4.3098 | 0.0131 | 29.4890 | 4.0321 | 0.0144 | 24.9514 | 1 | |
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| 3.6711 | 0.0160 | 25.7380 | 2.7995 | 0.0205 | 32.2126 | 2 | |
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| 2.2582 | 0.0224 | 31.5946 | 1.6772 | 0.0257 | 23.9282 | 3 | |
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| 1.4268 | 0.0262 | 23.3380 | 1.2097 | 0.0279 | 18.7331 | 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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