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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-large-v2
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice_13_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: openai/whisper-large-v2
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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_13_0
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+ type: common_voice_13_0
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+ config: pt
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+ split: test
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+ args: pt
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 5.875201261788191
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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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+ # openai/whisper-large-v2
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_13_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4680
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+ - Wer: 5.8752
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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-06
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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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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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: 20000
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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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+ | 0.0874 | 3.53 | 1000 | 0.1593 | 4.9765 |
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+ | 0.0318 | 7.05 | 2000 | 0.2263 | 5.4365 |
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+ | 0.0121 | 10.58 | 3000 | 0.2966 | 5.5630 |
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+ | 0.005 | 14.11 | 4000 | 0.3400 | 5.6123 |
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+ | 0.0036 | 17.64 | 5000 | 0.3554 | 5.6600 |
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+ | 0.0034 | 21.16 | 6000 | 0.3640 | 5.6370 |
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+ | 0.0021 | 24.69 | 7000 | 0.3714 | 5.6485 |
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+ | 0.0016 | 28.22 | 8000 | 0.3962 | 5.6255 |
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+ | 0.0013 | 31.75 | 9000 | 0.3960 | 5.6731 |
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+ | 0.0009 | 35.27 | 10000 | 0.4107 | 5.7027 |
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+ | 0.0008 | 38.8 | 11000 | 0.3981 | 5.9869 |
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+ | 0.0006 | 42.33 | 12000 | 0.4097 | 5.7010 |
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+ | 0.0005 | 45.86 | 13000 | 0.4226 | 5.8144 |
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+ | 0.0004 | 49.38 | 14000 | 0.4330 | 5.8259 |
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+ | 0.0004 | 52.91 | 15000 | 0.4415 | 5.7914 |
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+ | 0.0003 | 56.44 | 16000 | 0.4490 | 5.7848 |
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+ | 0.0003 | 59.96 | 17000 | 0.4553 | 5.8013 |
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+ | 0.0002 | 63.49 | 18000 | 0.4625 | 5.7963 |
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+ | 0.0002 | 67.02 | 19000 | 0.4663 | 5.8522 |
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+ | 0.0002 | 70.55 | 20000 | 0.4680 | 5.8752 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.15.1
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