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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-small |
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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: whisper-small-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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# whisper-small-smj |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 0.3690 |
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- train_loss: 0.2159 |
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- validation_wer: 19.6809 |
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- validation_cer: 5.5037 |
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- validation_exact_wer: 22.3404 |
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- validation_exact_cer: 5.8753 |
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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: 5e-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: 256 |
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- total_train_batch_size: 256 |
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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: 2,560,000 |
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- steps_per_epoch: 70 |
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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 | 3.4458 | 4.7979 | 205.7181 | 94.0902 | 150.2660 | 95.4591 | |
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| 1000 | 0.8415 | 0.2440 | 21.9415 | 6.4379 | 25.9309 | 7.0106 | |
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| 2000 | 1.0741 | 0.2249 | 21.6755 | 5.7474 | 25.0 | 6.1741 | |
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| 3000 | 0.8933 | 0.2919 | 20.4787 | 5.3615 | 23.9362 | 5.8156 | |
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| 4000 | 0.8445 | 0.1339 | 18.8830 | 5.2193 | 21.4096 | 5.6363 | |
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| 5000 | 0.3739 | 0.2289 | 20.0798 | 5.3818 | 23.2713 | 5.8355 | |
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| 6000 | 0.3746 | 0.2586 | 19.8138 | 5.2600 | 22.7394 | 5.6562 | |
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| 7000 | 0.3555 | 0.2273 | 19.2819 | 5.7067 | 22.3404 | 6.0745 | |
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| 8000 | 0.3671 | 0.1632 | 19.4149 | 5.4224 | 22.3404 | 5.8952 | |
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| 9000 | 0.3508 | 0.2107 | 18.3511 | 5.3006 | 21.2766 | 5.7160 | |
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| 9999 | 0.3690 | 0.2159 | 19.6809 | 5.5037 | 22.3404 | 5.8753 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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