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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-medium |
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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-medium-smj |
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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-medium-smj |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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: 9999 |
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- validation_loss: 1.4491 |
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- train_loss: 0.2105 |
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- validation_wer: 15.6915 |
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- validation_cer: 4.6710 |
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- validation_exact_wer: 18.0851 |
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- validation_exact_cer: 4.9990 |
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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: 2.5e-05 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 8 |
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- total_train_batch_size_per_node: 64 |
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- total_train_batch_size: 64 |
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- total_optimization_steps: 10,000 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 10,000 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 1 |
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- total_num_training_examples: 640,000 |
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- steps_per_epoch: 287 |
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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 | 6.7175 | 4.8002 | 101.9947 | 49.5329 | 103.4574 | 50.6274 | |
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| 1000 | 1.8389 | 0.4886 | 22.2074 | 6.0723 | 26.1968 | 6.6321 | |
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| 2000 | 1.2170 | 0.2845 | 18.75 | 5.6661 | 22.8723 | 6.1741 | |
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| 3000 | 1.3422 | 0.3153 | 15.5585 | 4.7116 | 18.0851 | 5.0588 | |
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| 4000 | 1.2924 | 0.2716 | 16.4894 | 5.1178 | 20.7447 | 5.7558 | |
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| 5000 | 1.4563 | 0.2408 | 17.1543 | 5.1381 | 20.0798 | 5.5567 | |
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| 6000 | 1.4318 | 0.2653 | 16.2234 | 4.9147 | 19.4149 | 5.3774 | |
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| 7000 | 1.2483 | 0.2359 | 15.2926 | 4.8335 | 18.6170 | 5.2579 | |
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| 8000 | 1.4402 | 0.2701 | 15.4255 | 4.5695 | 18.2181 | 4.9592 | |
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| 9000 | 1.5363 | 0.2244 | 15.5585 | 4.6304 | 18.3511 | 5.0189 | |
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| 9999 | 1.4491 | 0.2105 | 15.6915 | 4.6710 | 18.0851 | 4.9990 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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