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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_test7b |
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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_test7b |
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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: 0.6607 |
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- train_loss: 0.3094 |
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- eval_wer: 10.8709 |
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- eval_cer: 5.1449 |
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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 | 1.3578 | 8.1186 | 156.3946 | 118.6999 | |
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| 1000 | 0.7538 | 0.9632 | 23.5688 | 9.1509 | |
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| 2000 | 0.7164 | 0.6653 | 18.2704 | 7.4628 | |
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| 3000 | 0.7374 | 0.5403 | 15.1340 | 6.4853 | |
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| 4000 | 0.7819 | 0.4543 | 13.5810 | 6.0368 | |
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| 5000 | 0.8360 | 0.4266 | 12.2716 | 5.4775 | |
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| 6000 | 0.9197 | 0.3941 | 11.6017 | 5.2104 | |
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| 7000 | 0.9399 | 0.3705 | 11.8149 | 5.3515 | |
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| 8000 | 0.7468 | 0.3806 | 11.6017 | 5.2104 | |
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| 9000 | 0.7944 | 0.3562 | 11.5713 | 5.3212 | |
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| 10000 | 0.6599 | 0.3563 | 11.1145 | 5.1046 | |
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| 11000 | 0.6534 | 0.3394 | 11.2972 | 5.3313 | |
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| 12000 | 0.5689 | 0.3427 | 11.0536 | 5.2708 | |
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| 13000 | 0.5633 | 0.3313 | 11.1754 | 5.2557 | |
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| 14000 | 0.7331 | 0.3278 | 11.4495 | 5.4623 | |
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| 15000 | 0.6593 | 0.3011 | 11.1754 | 5.1902 | |
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| 16000 | 0.6180 | 0.3044 | 11.1449 | 5.2356 | |
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| 17000 | 0.6761 | 0.3058 | 10.9318 | 5.2053 | |
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| 18000 | 0.6697 | 0.3154 | 10.8709 | 5.1499 | |
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| 19000 | 0.6730 | 0.2888 | 11.0231 | 5.2658 | |
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| 19999 | 0.6607 | 0.3094 | 10.8709 | 5.1449 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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