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README.md
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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:
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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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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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