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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-1200-1-Wavenet-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-1200-1-Wavenet-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-1200-1-Wavenet-B |
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type: IoanaLiviaPopescu/RealVoiceSynthVoice-1200-1-Wavenet-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: 17.00165959800848 |
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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-1200-1-Wavenet-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-1200-1-Wavenet-B dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3759 |
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- Wer: 17.0017 |
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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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| 0.2756 | 1.0 | 51 | 0.4008 | 17.9974 | |
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| 0.1052 | 2.0 | 102 | 0.3728 | 17.3705 | |
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| 0.0551 | 3.0 | 153 | 0.3759 | 17.0017 | |
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| 0.0322 | 4.0 | 204 | 0.3911 | 17.5180 | |
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| 0.0227 | 5.0 | 255 | 0.4033 | 17.6102 | |
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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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