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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-v3
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - impaired_v3_independent_all
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: impaired-v3-independent-all
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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: impaired_v3_independent_all
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+ type: impaired_v3_independent_all
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+ config: cs
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+ split: test
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+ args: cs
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.4068825910931174
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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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+ # impaired-v3-independent-all
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+
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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 impaired_v3_independent_all dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4531
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+ - Wer: 0.4069
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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: 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: 500
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+ - training_steps: 5000
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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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+ | 0.0077 | 13.99 | 1000 | 1.0277 | 0.3968 |
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+ | 0.0008 | 27.97 | 2000 | 1.2058 | 0.4008 |
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+ | 0.0001 | 41.96 | 3000 | 1.3848 | 0.4069 |
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+ | 0.0001 | 55.94 | 4000 | 1.4363 | 0.3998 |
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+ | 0.0001 | 69.93 | 5000 | 1.4531 | 0.4069 |
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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 2.1.2+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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