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--- |
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language: |
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- smj |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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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: salmon-whisper-large-smj-lr7e-5 |
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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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# salmon-whisper-large-smj-lr7e-5 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the NbAiLab/salmon-asr-smj dataset. |
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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: 7e-05 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 6 |
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- total_train_batch_size_per_node: 48 |
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- total_train_batch_size: 48 |
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- total_optimization_steps: 100,000 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 100,000 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 1 |
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- total_num_training_examples: 4,800,000 |
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- steps_per_epoch: 385 |
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- num_beams: None |
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- weight_decay: 0.01 |
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- adam_beta1: 0.9 |
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- adam_beta2: 0.98 |
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- adam_epsilon: 1e-06 |
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- dropout: True |
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- bpe_dropout_probability: 0.2 |
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- activation_dropout_probability: 0.1 |
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### Training results |
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| step | validation_loss | train_loss | validation_wer | validation_cer | validation_exact_wer | validation_exact_cer | |
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|:-----:|:---------------:|:----------:|:--------------:|:--------------:|:--------------------:|:--------------------:| |
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| 0 | 4.2254 | 4.7016 | 112.7660 | 59.8700 | 108.1117 | 62.0594 | |
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| 10000 | 0.8352 | 0.3801 | 18.0851 | 5.5037 | 22.2074 | 6.0546 | |
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| 20000 | 1.1701 | 0.2580 | 15.2926 | 5.0569 | 17.8191 | 5.4770 | |
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| 30000 | 1.0861 | 0.2306 | 14.4947 | 4.6304 | 17.2872 | 4.9393 | |
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| 40000 | 1.0137 | 0.2168 | 14.2287 | 4.3461 | 16.7553 | 4.6206 | |
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| 50000 | 1.1032 | 0.2313 | 13.6968 | 3.8993 | 16.0904 | 4.1625 | |
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| 60000 | 1.2158 | 0.2121 | 13.6968 | 4.2648 | 16.0904 | 4.5808 | |
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| 70000 | 1.1595 | 0.2567 | 12.3670 | 3.7977 | 14.7606 | 4.1028 | |
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| 80000 | 1.1889 | 0.2420 | 12.5 | 4.0008 | 14.7606 | 4.2621 | |
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| 90000 | 1.1761 | 0.2039 | 12.6330 | 4.0211 | 14.8936 | 4.3218 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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