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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice_16_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: breeze-listen-dsw-base-id
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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: common_voice_16_0
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+ type: common_voice_16_0
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+ config: id
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+ split: test
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+ args: id
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 33.82555892906431
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+ ---
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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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+
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+ # breeze-listen-dsw-base-id
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+
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6528
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+ - Wer: 33.8256
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - distributed_type: multi-GPU
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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: 500
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+ - training_steps: 2000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.5452 | 1.02 | 200 | 0.5464 | 35.1688 |
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+ | 0.3445 | 2.04 | 400 | 0.5405 | 34.0694 |
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+ | 0.1397 | 3.07 | 600 | 0.5347 | 32.8273 |
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+ | 0.0988 | 5.01 | 800 | 0.5654 | 35.6749 |
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+ | 0.077 | 6.03 | 1000 | 0.5786 | 33.9452 |
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+ | 0.0338 | 7.05 | 1200 | 0.6050 | 33.9820 |
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+ | 0.0137 | 8.08 | 1400 | 0.6221 | 34.1016 |
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+ | 0.0153 | 10.02 | 1600 | 0.6431 | 33.9038 |
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+ | 0.0125 | 11.04 | 1800 | 0.6514 | 33.7520 |
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+ | 0.0092 | 12.06 | 2000 | 0.6528 | 33.8256 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.2.dev0
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+ - Tokenizers 0.15.0
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