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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_0015 |
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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_0015 |
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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: 0.3473 |
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- Train Accuracy: 0.0321 |
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- Validation Loss: 0.5945 |
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- Validation Accuracy: 0.0311 |
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- Epoch: 14 |
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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 | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 5.0949 | 0.0116 | 4.4444 | 0.0124 | 0 | |
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| 4.3242 | 0.0130 | 4.0648 | 0.0140 | 1 | |
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| 3.9308 | 0.0145 | 3.6837 | 0.0157 | 2 | |
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| 3.5552 | 0.0159 | 3.3410 | 0.0171 | 3 | |
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| 3.1591 | 0.0175 | 2.8089 | 0.0198 | 4 | |
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| 2.2408 | 0.0221 | 1.7104 | 0.0255 | 5 | |
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| 1.4220 | 0.0261 | 1.2181 | 0.0279 | 6 | |
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| 1.0460 | 0.0280 | 0.9912 | 0.0290 | 7 | |
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| 0.8363 | 0.0291 | 0.8645 | 0.0296 | 8 | |
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| 0.6967 | 0.0299 | 0.7748 | 0.0301 | 9 | |
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| 0.5942 | 0.0305 | 0.7201 | 0.0304 | 10 | |
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| 0.5151 | 0.0309 | 0.6675 | 0.0307 | 11 | |
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| 0.4496 | 0.0314 | 0.6382 | 0.0308 | 12 | |
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| 0.3951 | 0.0318 | 0.6060 | 0.0310 | 13 | |
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| 0.3473 | 0.0321 | 0.5945 | 0.0311 | 14 | |
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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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