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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny.en
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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: multiclass-fz-enc-tiny-en
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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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+ # multiclass-fz-enc-tiny-en
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1596
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+ - Wer: 21.1301
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+ - Cer: 17.7602
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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: 16
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+ - eval_batch_size: 8
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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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+ - 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 | Cer |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
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+ | 0.1904 | 4.5872 | 500 | 0.3362 | 519.8481 | 547.0715 |
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+ | 0.014 | 9.1743 | 1000 | 0.1819 | 17.2365 | 18.1553 |
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+ | 0.0017 | 13.7615 | 1500 | 0.1720 | 12.1083 | 7.9955 |
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+ | 0.0008 | 18.3486 | 2000 | 0.1668 | 12.3932 | 11.7657 |
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+ | 0.0005 | 22.9358 | 2500 | 0.1640 | 12.2032 | 11.8430 |
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+ | 0.0004 | 27.5229 | 3000 | 0.1622 | 11.9658 | 11.7056 |
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+ | 0.0003 | 32.1101 | 3500 | 0.1615 | 11.8234 | 7.7808 |
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+ | 0.0003 | 36.6972 | 4000 | 0.1605 | 21.3675 | 17.9320 |
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+ | 0.0002 | 41.2844 | 4500 | 0.1596 | 21.1301 | 17.7602 |
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+ | 0.0002 | 45.8716 | 5000 | 0.1596 | 21.1301 | 17.7602 |
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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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