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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_shift_r_labels_no_force__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_input_decoder_shift_r_labels_no_force__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: 3.3069 |
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- Train Accuracy: 0.0148 |
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- Train Wermet: 0.6961 |
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- Validation Loss: 3.1102 |
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- Validation Accuracy: 0.0124 |
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- Validation Wermet: 0.7609 |
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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 | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch | |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| |
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| 5.6348 | 0.0091 | 1.5865 | 4.2935 | 0.0093 | 0.9579 | 0 | |
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| 4.9212 | 0.0099 | 0.9054 | 4.1262 | 0.0097 | 0.9390 | 1 | |
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| 4.6819 | 0.0107 | 0.8319 | 3.9071 | 0.0103 | 0.8966 | 2 | |
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| 4.4443 | 0.0114 | 0.8310 | 3.7367 | 0.0106 | 0.8939 | 3 | |
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| 4.2479 | 0.0119 | 0.8226 | 3.6101 | 0.0109 | 0.8696 | 4 | |
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| 4.0911 | 0.0124 | 0.8103 | 3.5364 | 0.0110 | 0.8946 | 5 | |
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| 3.9590 | 0.0127 | 0.7913 | 3.4556 | 0.0113 | 0.8388 | 6 | |
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| 3.8513 | 0.0130 | 0.7794 | 3.4106 | 0.0114 | 0.8515 | 7 | |
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| 3.7607 | 0.0133 | 0.7657 | 3.3507 | 0.0115 | 0.8261 | 8 | |
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| 3.6757 | 0.0136 | 0.7548 | 3.3141 | 0.0116 | 0.8400 | 9 | |
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| 3.6023 | 0.0138 | 0.7454 | 3.2711 | 0.0117 | 0.8006 | 10 | |
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| 3.5261 | 0.0140 | 0.7348 | 3.2391 | 0.0119 | 0.8101 | 11 | |
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| 3.4534 | 0.0143 | 0.7212 | 3.2070 | 0.0120 | 0.7870 | 12 | |
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| 3.3814 | 0.0146 | 0.7080 | 3.1505 | 0.0122 | 0.7826 | 13 | |
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| 3.3069 | 0.0148 | 0.6961 | 3.1102 | 0.0124 | 0.7609 | 14 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- TensorFlow 2.13.0 |
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- Tokenizers 0.13.3 |
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