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--- |
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library_name: transformers |
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language: |
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- ro |
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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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- generated_from_trainer |
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datasets: |
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- IoanaLiviaPopescu/RealVoiceSynthVoice-400-2-Wavnet-B |
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metrics: |
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- wer |
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model-index: |
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- name: IoanaLiviaPopescu/IoanaLiviaPopescu/real-data-synth-data-400-2-Wavnet-B-Wavnet-B-whisper-small-v0 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: IoanaLiviaPopescu/RealVoiceSynthVoice-400-2-Wavnet-B |
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type: IoanaLiviaPopescu/RealVoiceSynthVoice-400-2-Wavnet-B |
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config: default |
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split: test |
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args: 'split: validation' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 17.88677853586576 |
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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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# IoanaLiviaPopescu/IoanaLiviaPopescu/real-data-synth-data-400-2-Wavnet-B-Wavnet-B-whisper-small-v0 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the IoanaLiviaPopescu/RealVoiceSynthVoice-400-2-Wavnet-B dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3999 |
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- Wer: 17.8868 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_BNB 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_ratio: 0.1 |
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- num_epochs: 5 |
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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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| No log | 0 | 0 | 0.6024 | 27.8812 | |
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| 0.3857 | 1.0 | 26 | 0.4413 | 19.5095 | |
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| 0.1796 | 2.0 | 52 | 0.3877 | 17.9974 | |
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| 0.1036 | 3.0 | 78 | 0.3856 | 18.1818 | |
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| 0.0699 | 4.0 | 104 | 0.3975 | 17.9237 | |
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| 0.0539 | 5.0 | 130 | 0.3999 | 17.8868 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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