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--- |
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library_name: transformers |
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language: |
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- hr |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-turbo-hr-parla |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-large-v3-turbo-hr-parla |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the classla/ParlaSpeech-HR dataset and additional 400h |
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private dataset, both with augmented additions. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0816 |
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- Wer: 3.52% |
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### WER comparsion |
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| Dataset | Model | WER (%) | |
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|---------------------------------|----------------------------------------------------|----------| |
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| google/fleurs hr_hr test | openai/whisper-base | 65.99 | |
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| google/fleurs hr_hr test | openai/whisper-large-v3-turbo | 12.73 | |
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| google/fleurs hr_hr test | slsolucije/whisper-large-v3-turbo-hr-parla-lora-merged | 9.93 | |
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| google/fleurs hr_hr test | **GoranS/whisper-large-v3-turbo-hr-parla** | **8.66** | |
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| GoranS/stt-croatian_99k_265_2 test | openai/whisper-large-v3-turbo | 22.93 | |
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| GoranS/stt-croatian_99k_265_2 test | slsolucije/whisper-large-v3-turbo-hr-parla-lora-merged | 19.02 | |
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| GoranS/stt-croatian_99k_265_2 test | **GoranS/whisper-large-v3-turbo-hr-parla** | **18.44** | |
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| GoranS/stt-croatian-sl-31k test | openai/whisper-large-v3-turbo | 21.62 | |
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| GoranS/stt-croatian-sl-31k test | slsolucije/whisper-large-v3-turbo-hr-parla-lora-merged | 17.07 | |
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| GoranS/stt-croatian-sl-31k test | **GoranS/whisper-large-v3-turbo-hr-parla** | **16.97** | |
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| parla_867k_2483_0.5 test | openai/whisper-large-v3-turbo | 10.23 | |
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| parla_867k_2483_0.5 test | slsolucije/whisper-large-v3-turbo-hr-parla-lora-merged | 4.58 | |
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| parla_867k_2483_0.5 test | **GoranS/whisper-large-v3-turbo-hr-parla** | **3.52** | |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6.25e-06 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 800 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:-----:|:---------------:|:------:| |
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| 0.1485 | 0.0703 | 1000 | 0.1376 | 0.0610 | |
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| 0.1399 | 0.1406 | 2000 | 0.1210 | 0.0545 | |
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| 0.1311 | 0.2108 | 3000 | 0.1144 | 0.0529 | |
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| 0.119 | 0.2811 | 4000 | 0.1058 | 0.0487 | |
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| 0.1165 | 0.3514 | 5000 | 0.1067 | 0.0517 | |
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| 0.1142 | 0.4217 | 6000 | 0.1007 | 0.0464 | |
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| 0.1095 | 0.4920 | 7000 | 0.1019 | 0.0447 | |
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| 0.1112 | 0.5622 | 8000 | 0.0974 | 0.0425 | |
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| 0.1104 | 0.6325 | 9000 | 0.0971 | 0.0442 | |
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| 0.1081 | 0.7028 | 10000 | 0.0943 | 0.0411 | |
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| 0.1025 | 0.7731 | 11000 | 0.0905 | 0.0397 | |
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| 0.1042 | 0.8433 | 12000 | 0.0930 | 0.0419 | |
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| 0.1031 | 0.9136 | 13000 | 0.0923 | 0.0428 | |
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| 0.1038 | 0.9839 | 14000 | 0.0894 | 0.0408 | |
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| 0.0878 | 1.0542 | 15000 | 0.0902 | 0.0408 | |
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| 0.0886 | 1.1245 | 16000 | 0.0869 | 0.0369 | |
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| 0.0864 | 1.1947 | 17000 | 0.0861 | 0.0364 | |
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| 0.0817 | 1.2650 | 18000 | 0.0867 | 0.0408 | |
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| 0.0899 | 1.3353 | 19000 | 0.0852 | 0.0383 | |
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| 0.0868 | 1.4056 | 20000 | 0.0846 | 0.0369 | |
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| 0.0858 | 1.4759 | 21000 | 0.0844 | 0.0378 | |
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| 0.0827 | 1.5461 | 22000 | 0.0845 | 0.0391 | |
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| 0.0798 | 1.6164 | 23000 | 0.0846 | 0.0378 | |
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| 0.0845 | 1.6867 | 24000 | 0.0833 | 0.0375 | |
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| 0.0768 | 1.7570 | 25000 | 0.0840 | 0.0375 | |
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| 0.0799 | 1.8273 | 26000 | 0.0837 | 0.0375 | |
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| 0.0808 | 1.8975 | 27000 | 0.0825 | 0.0352 | |
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| 0.0837 | 1.9678 | 28000 | 0.0816 | 0.0352 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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