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--- |
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language: |
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- 'no' |
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license: apache-2.0 |
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tags: |
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- audio |
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- asr |
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- automatic-speech-recognition |
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- hf-asr-leaderboard |
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model-index: |
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- name: scream_duo_dropout_bpe_dropout |
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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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# scream_duo_dropout_bpe_dropout |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the NbAiLab/NCC_speech_all_v5 dataset. |
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It achieves the following results on the evaluation set: |
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- step: 19999 |
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- eval_loss: 5.2383 |
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- train_loss: 0.4761 |
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- eval_wer: 10.1096 |
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- eval_cer: 4.9735 |
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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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- learning_rate: 2e-05 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 32 |
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- total_train_batch_size_per_node: 128 |
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- total_train_batch_size: 1024 |
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- total_optimization_steps: 20,000 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 20,000 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 8 |
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- total_num_training_examples: 20,480,000 |
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- steps_per_epoch: 1314 |
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- num_beams: 5 |
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### Training results |
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| step | eval_loss | train_loss | eval_wer | eval_cer | |
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|:-----:|:---------:|:----------:|:--------:|:--------:| |
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| 0 | 4.2078 | 2.2707 | 169.1230 | 127.5435 | |
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| 1000 | 3.2725 | 0.8044 | 18.8490 | 7.9113 | |
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| 2000 | 2.8829 | 0.7114 | 12.7893 | 5.2205 | |
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| 3000 | 2.5190 | 0.6461 | 11.6931 | 5.1247 | |
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| 4000 | 2.5935 | 0.5883 | 10.8100 | 4.8325 | |
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| 5000 | 2.3213 | 0.5753 | 10.7186 | 4.8677 | |
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| 6000 | 3.2012 | 0.5495 | 10.6273 | 5.0491 | |
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| 7000 | 2.9775 | 0.5279 | 10.8100 | 5.0441 | |
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| 8000 | 3.1645 | 0.5412 | 9.9574 | 4.8929 | |
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| 9000 | 2.9499 | 0.5191 | 11.0840 | 7.1504 | |
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| 10000 | 3.7657 | 0.5215 | 10.5968 | 5.0189 | |
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| 11000 | 3.7694 | 0.5086 | 9.9574 | 4.8375 | |
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| 12000 | 3.9640 | 0.5121 | 10.3228 | 4.9685 | |
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| 13000 | 4.2364 | 0.4982 | 10.3532 | 5.0088 | |
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| 14000 | 4.5940 | 0.4908 | 9.9574 | 4.8627 | |
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| 15000 | 4.7101 | 0.4696 | 10.1401 | 5.0239 | |
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| 16000 | 4.7501 | 0.4680 | 9.8965 | 4.7317 | |
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| 17000 | 4.9145 | 0.4751 | 10.0792 | 5.0239 | |
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| 18000 | 5.1751 | 0.4783 | 10.0183 | 4.9332 | |
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| 19000 | 5.2207 | 0.4566 | 10.0183 | 4.9131 | |
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| 19999 | 5.2383 | 0.4761 | 10.1096 | 4.9735 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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