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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_sextusdecimus_virtual_tsfix_small |
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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_sextusdecimus_virtual_tsfix_small |
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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 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: 0.2913 |
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- train_loss: 0.6610 |
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- eval_wer: 8.7151 |
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- eval_cer: 3.8962 |
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- eval_exact_wer: 8.7151 |
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- eval_exact_cer: 3.8962 |
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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: 5e-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: 11920 |
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- num_beams: 5 |
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- dropout: True |
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- bpe_dropout_probability: 0.1 |
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- activation_dropout_probability: 0.1 |
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### Training results |
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| step | eval_loss | train_loss | eval_wer | eval_cer | eval_exact_wer | eval_exact_cer | |
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|:-----:|:---------:|:----------:|:--------:|:--------:|:--------------:|:--------------:| |
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| 0 | 1.2807 | 3.0725 | 196.6092 | 157.4275 | 196.6092 | 157.4275 | |
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| 1000 | 0.5902 | 1.0592 | 15.1695 | 4.8382 | 15.1695 | 4.8382 | |
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| 2000 | 0.4240 | 0.8640 | 11.3623 | 3.9308 | 11.3623 | 3.9308 | |
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| 3000 | 0.4213 | 0.7930 | 9.4587 | 3.3537 | 9.4587 | 3.3537 | |
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| 4000 | 0.4353 | 0.7986 | 9.3694 | 3.5263 | 9.3694 | 3.5263 | |
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| 5000 | 0.4697 | 0.7580 | 9.7858 | 4.1478 | 9.7858 | 4.1478 | |
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| 6000 | 0.4535 | 0.7003 | 10.0238 | 4.2119 | 10.0238 | 4.2119 | |
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| 7000 | 0.4608 | 0.7296 | 8.8638 | 3.4228 | 8.8638 | 3.4228 | |
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| 8000 | 0.3902 | 0.7053 | 8.9233 | 3.6003 | 8.9233 | 3.6003 | |
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| 9000 | 0.3575 | 0.7124 | 9.3992 | 3.9702 | 9.3992 | 3.9702 | |
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| 10000 | 0.3648 | 0.6858 | 8.8043 | 3.4326 | 8.8043 | 3.4326 | |
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| 11000 | 0.3033 | 0.6916 | 9.1315 | 3.7236 | 9.1315 | 3.7236 | |
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| 12000 | 0.3021 | 0.7028 | 8.9827 | 3.6052 | 8.9827 | 3.6052 | |
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| 13000 | 0.2959 | 0.6567 | 8.6556 | 3.4918 | 8.6556 | 3.4918 | |
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| 14000 | 0.3055 | 0.6828 | 8.9827 | 3.6496 | 8.9827 | 3.6496 | |
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| 15000 | 0.2930 | 0.6707 | 8.8043 | 3.7976 | 8.8043 | 3.7976 | |
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| 16000 | 0.2822 | 0.6523 | 8.5068 | 3.5806 | 8.5068 | 3.5806 | |
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| 17000 | 0.2809 | 0.6581 | 8.6853 | 3.7828 | 8.6853 | 3.7828 | |
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| 18000 | 0.2927 | 0.6455 | 9.1315 | 4.2513 | 9.1315 | 4.2513 | |
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| 19000 | 0.2922 | 0.6369 | 9.1017 | 4.1034 | 9.1017 | 4.1034 | |
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| 19999 | 0.2913 | 0.6610 | 8.7151 | 3.8962 | 8.7151 | 3.8962 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Datasets 2.12.1.dev0 |
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- Tokenizers 0.13.3 |
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