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--- |
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language: |
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- et |
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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-test1 |
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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-test1 |
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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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It achieves the following results on the evaluation set: |
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- step: 999 |
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- validation_loss: 0.9447 |
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- train_loss: 0.3067 |
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- validation_wer: 21.6755 |
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- validation_cer: 5.6661 |
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- validation_exact_wer: 25.0 |
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- validation_exact_cer: 6.1940 |
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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: 1,000 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 1,000 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 1 |
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- total_num_training_examples: 48,000 |
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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 | 4.6455 | 112.7660 | 59.8700 | 108.1117 | 62.0594 | |
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| 100 | 1.4819 | 0.9353 | 59.0426 | 16.0032 | 61.8351 | 16.8293 | |
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| 200 | 1.2494 | 0.8903 | 43.2181 | 10.9667 | 45.8777 | 11.6311 | |
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| 300 | 1.1444 | 0.8144 | 32.4468 | 8.4281 | 35.6383 | 8.8429 | |
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| 400 | 1.0442 | 1.3240 | 30.1862 | 7.7173 | 33.3777 | 8.2454 | |
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| 500 | 0.9681 | 0.2736 | 25.5319 | 6.3769 | 28.4574 | 6.8711 | |
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| 600 | 1.0579 | 0.4364 | 25.0 | 6.3363 | 28.3245 | 6.8313 | |
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| 700 | 0.9322 | 0.6873 | 23.4043 | 5.9708 | 26.3298 | 6.3732 | |
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| 800 | 0.9255 | 0.3675 | 23.2713 | 6.0114 | 26.5957 | 6.5326 | |
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| 900 | 0.9581 | 0.6156 | 22.4734 | 5.8692 | 26.0638 | 6.4330 | |
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| 999 | 0.9447 | 0.3067 | 21.6755 | 5.6661 | 25.0 | 6.1940 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.14.0 |
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