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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_tertius_dropout_replicate_test7a |
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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_tertius_dropout_replicate_test7a |
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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: 1.1799 |
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- train_loss: 0.3145 |
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- eval_wer: 11.6626 |
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- eval_cer: 5.8907 |
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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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- dropout: True |
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- dropout_probability: 0.1 |
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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 | 1.3582 | 7.9231 | 169.1230 | 127.5435 | |
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| 1000 | 0.9203 | 0.9748 | 24.0256 | 9.2618 | |
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| 2000 | 0.9951 | 0.6747 | 18.7576 | 7.4326 | |
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| 3000 | 1.1073 | 0.5495 | 16.7479 | 7.1000 | |
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| 4000 | 1.1093 | 0.4612 | 14.4336 | 6.4147 | |
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| 5000 | 1.1719 | 0.4326 | 14.1900 | 6.2837 | |
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| 6000 | 1.2627 | 0.3998 | 12.8197 | 5.9814 | |
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| 7000 | 1.2785 | 0.3765 | 12.7893 | 6.1476 | |
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| 8000 | 1.1395 | 0.3869 | 12.5152 | 6.0519 | |
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| 9000 | 1.2327 | 0.3616 | 12.7893 | 6.1829 | |
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| 10000 | 1.0855 | 0.3620 | 11.4495 | 5.6790 | |
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| 11000 | 1.1018 | 0.3453 | 11.7540 | 5.7848 | |
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| 12000 | 0.9953 | 0.3486 | 11.7235 | 5.7294 | |
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| 13000 | 1.1321 | 0.3365 | 12.0280 | 6.0015 | |
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| 14000 | 1.2654 | 0.3335 | 11.6322 | 5.8050 | |
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| 15000 | 1.2149 | 0.3061 | 11.8453 | 5.8503 | |
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| 16000 | 1.1539 | 0.3090 | 11.9367 | 5.8503 | |
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| 17000 | 1.2530 | 0.3103 | 11.7540 | 5.8251 | |
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| 18000 | 1.1925 | 0.3209 | 11.4799 | 5.6790 | |
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| 19000 | 1.2155 | 0.2931 | 11.7235 | 5.9562 | |
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| 19999 | 1.1799 | 0.3145 | 11.6626 | 5.8907 | |
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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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