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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_equal_labels_no_force__0060 |
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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_equal_labels_no_force__0060 |
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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: 0.0000 |
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- Train Accuracy: 0.0362 |
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- Train Wermet: 0.0000 |
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- Validation Loss: 0.0003 |
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- Validation Accuracy: 0.0266 |
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- Validation Wermet: 0.0001 |
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- Epoch: 59 |
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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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| 0.7688 | 0.0332 | 32.0424 | 0.0164 | 0.0265 | 57.8712 | 0 | |
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| 0.0114 | 0.0362 | 31.1067 | 0.0062 | 0.0266 | 54.8371 | 1 | |
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| 0.0048 | 0.0362 | 27.0610 | 0.0030 | 0.0266 | 50.1428 | 2 | |
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| 0.0027 | 0.0362 | 24.9672 | 0.0018 | 0.0266 | 48.0741 | 3 | |
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| 0.0018 | 0.0362 | 23.1500 | 0.0013 | 0.0266 | 44.9304 | 4 | |
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| 0.0013 | 0.0362 | 21.5445 | 0.0010 | 0.0266 | 42.3508 | 5 | |
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| 0.0009 | 0.0362 | 20.2775 | 0.0008 | 0.0266 | 40.4061 | 6 | |
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| 0.0007 | 0.0362 | 19.5082 | 0.0006 | 0.0266 | 38.2329 | 7 | |
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| 0.0005 | 0.0362 | 17.9967 | 0.0005 | 0.0266 | 35.9761 | 8 | |
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| 0.0004 | 0.0362 | 16.8461 | 0.0004 | 0.0266 | 34.1220 | 9 | |
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| 0.0003 | 0.0362 | 15.8373 | 0.0004 | 0.0266 | 32.0054 | 10 | |
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| 0.0003 | 0.0362 | 14.7685 | 0.0004 | 0.0266 | 29.6994 | 11 | |
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| 0.0002 | 0.0362 | 13.4142 | 0.0003 | 0.0266 | 27.1796 | 12 | |
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| 0.0002 | 0.0362 | 12.4809 | 0.0003 | 0.0266 | 25.3421 | 13 | |
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| 0.0002 | 0.0362 | 11.2286 | 0.0003 | 0.0266 | 23.1619 | 14 | |
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| 0.0001 | 0.0362 | 10.2408 | 0.0003 | 0.0266 | 21.3348 | 15 | |
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| 0.0001 | 0.0362 | 9.5439 | 0.0002 | 0.0266 | 20.1758 | 16 | |
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| 0.0001 | 0.0362 | 8.7578 | 0.0002 | 0.0266 | 18.3977 | 17 | |
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| 0.0001 | 0.0362 | 7.8698 | 0.0002 | 0.0266 | 16.2156 | 18 | |
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| 0.0001 | 0.0362 | 7.0007 | 0.0002 | 0.0266 | 14.7919 | 19 | |
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| 0.0001 | 0.0362 | 6.2610 | 0.0002 | 0.0266 | 13.0212 | 20 | |
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| 0.0001 | 0.0362 | 5.5103 | 0.0002 | 0.0266 | 11.5619 | 21 | |
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| 0.0000 | 0.0362 | 4.9163 | 0.0002 | 0.0266 | 10.4626 | 22 | |
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| 0.0000 | 0.0362 | 4.3166 | 0.0002 | 0.0266 | 9.2446 | 23 | |
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| 0.0000 | 0.0362 | 3.7524 | 0.0002 | 0.0266 | 7.7431 | 24 | |
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| 0.0000 | 0.0362 | 3.2129 | 0.0002 | 0.0266 | 6.6332 | 25 | |
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| 0.0000 | 0.0362 | 2.7739 | 0.0002 | 0.0266 | 5.7615 | 26 | |
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| 0.0000 | 0.0362 | 2.3764 | 0.0002 | 0.0266 | 4.9058 | 27 | |
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| 0.0000 | 0.0362 | 1.9780 | 0.0002 | 0.0266 | 4.0666 | 28 | |
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| 0.0000 | 0.0362 | 1.6255 | 0.0002 | 0.0266 | 3.3591 | 29 | |
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| 0.0000 | 0.0362 | 1.3291 | 0.0002 | 0.0266 | 2.7223 | 30 | |
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| 0.0000 | 0.0362 | 1.1012 | 0.0002 | 0.0266 | 2.1768 | 31 | |
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| 0.0000 | 0.0362 | 0.9017 | 0.0002 | 0.0266 | 1.7957 | 32 | |
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| 0.0000 | 0.0362 | 0.7347 | 0.0002 | 0.0266 | 1.3240 | 33 | |
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| 0.0000 | 0.0362 | 0.5807 | 0.0002 | 0.0266 | 0.9770 | 34 | |
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| 0.0000 | 0.0362 | 0.4562 | 0.0002 | 0.0266 | 0.7842 | 35 | |
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| 0.0000 | 0.0362 | 0.3738 | 0.0002 | 0.0266 | 0.6098 | 36 | |
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| 0.0000 | 0.0362 | 0.2925 | 0.0002 | 0.0266 | 0.4481 | 37 | |
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| 0.0000 | 0.0362 | 0.2142 | 0.0002 | 0.0266 | 0.3331 | 38 | |
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| 0.0000 | 0.0362 | 0.1491 | 0.0002 | 0.0266 | 0.2229 | 39 | |
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| 0.0000 | 0.0362 | 0.0935 | 0.0002 | 0.0266 | 0.1604 | 40 | |
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| 0.0000 | 0.0362 | 0.0588 | 0.0002 | 0.0266 | 0.1018 | 41 | |
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| 0.0000 | 0.0362 | 0.0421 | 0.0002 | 0.0266 | 0.0653 | 42 | |
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| 0.0000 | 0.0362 | 0.0284 | 0.0002 | 0.0266 | 0.0364 | 43 | |
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| 0.0000 | 0.0362 | 0.0172 | 0.0002 | 0.0266 | 0.0210 | 44 | |
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| 0.0000 | 0.0362 | 0.0048 | 0.0002 | 0.0266 | 0.0105 | 45 | |
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| 0.0000 | 0.0362 | 0.0006 | 0.0002 | 0.0266 | 0.0031 | 46 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0004 | 47 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 48 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 49 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 50 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 51 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 52 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 53 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 54 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 55 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 56 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 57 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 58 | |
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| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 59 | |
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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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