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--- |
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library_name: peft |
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language: |
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- it |
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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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datasets: |
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- ASR_BB_and_EC |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Large v3 |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: ASR_BB_and_EC |
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type: ASR_BB_and_EC |
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config: default |
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split: train |
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args: default |
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metrics: |
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- type: wer |
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value: 145.18950437317784 |
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name: Wer |
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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 |
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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 ASR_BB_and_EC dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2251 |
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- Wer: 145.1895 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 3 |
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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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| 3.4667 | 0.1142 | 50 | 2.3898 | 126.5306 | |
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| 1.3136 | 0.2283 | 100 | 0.8863 | 65.3061 | |
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| 0.6296 | 0.3425 | 150 | 0.7403 | 55.9767 | |
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| 0.551 | 0.4566 | 200 | 0.6749 | 61.2245 | |
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| 0.4789 | 0.5708 | 250 | 0.6446 | 67.6385 | |
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| 0.4246 | 0.6849 | 300 | 0.5675 | 77.5510 | |
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| 0.3786 | 0.7991 | 350 | 0.5163 | 45.4810 | |
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| 0.3179 | 0.9132 | 400 | 0.4786 | 84.8397 | |
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| 0.3118 | 1.0274 | 450 | 0.4678 | 105.5394 | |
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| 0.2689 | 1.1416 | 500 | 0.4322 | 125.3644 | |
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| 0.2473 | 1.2557 | 550 | 0.3924 | 48.1050 | |
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| 0.2319 | 1.3699 | 600 | 0.3980 | 208.7464 | |
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| 0.2098 | 1.4840 | 650 | 0.3545 | 52.1866 | |
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| 0.2215 | 1.5982 | 700 | 0.3489 | 48.1050 | |
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| 0.1981 | 1.7123 | 750 | 0.3378 | 76.3848 | |
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| 0.1803 | 1.8265 | 800 | 0.3295 | 43.7318 | |
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| 0.1693 | 1.9406 | 850 | 0.3095 | 76.9679 | |
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| 0.1406 | 2.0548 | 900 | 0.2993 | 43.4402 | |
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| 0.1252 | 2.1689 | 950 | 0.2810 | 37.3178 | |
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| 0.111 | 2.2831 | 1000 | 0.2854 | 164.1399 | |
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| 0.1166 | 2.3973 | 1050 | 0.2752 | 124.4898 | |
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| 0.1183 | 2.5114 | 1100 | 0.2493 | 90.3790 | |
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| 0.1014 | 2.6256 | 1150 | 0.2441 | 210.2041 | |
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| 0.1076 | 2.7397 | 1200 | 0.2340 | 152.1866 | |
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| 0.0891 | 2.8539 | 1250 | 0.2312 | 214.5773 | |
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| 0.0841 | 2.9680 | 1300 | 0.2251 | 145.1895 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.2.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
