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End of training

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  1. README.md +74 -0
  2. generation_config.json +240 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - en
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Tiny
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+ results: []
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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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+ # Whisper Tiny
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Personal - Mimic Recording dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3751
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+ - Wer: 0.1311
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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: 0.0001
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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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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+ - num_epochs: 10
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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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+ | 0.5941 | 1.0 | 293 | 0.4660 | 0.2291 |
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+ | 0.2868 | 2.0 | 586 | 0.4858 | 0.2960 |
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+ | 0.1692 | 3.0 | 879 | 0.4274 | 0.2219 |
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+ | 0.0971 | 4.0 | 1172 | 0.4568 | 0.2014 |
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+ | 0.0562 | 5.0 | 1465 | 0.4665 | 0.1820 |
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+ | 0.0291 | 6.0 | 1758 | 0.4346 | 0.1801 |
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+ | 0.0124 | 7.0 | 2051 | 0.3950 | 0.1456 |
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+ | 0.0024 | 8.0 | 2344 | 0.3777 | 0.1359 |
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+ | 0.0006 | 9.0 | 2637 | 0.3756 | 0.1323 |
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+ | 0.0002 | 10.0 | 2930 | 0.3751 | 0.1311 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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