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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-base.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-base-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-base-en
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+
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+ This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1252
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+ - Wer: 16.9516
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+ - Cer: 6.8447
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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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+ | 0.1012 | 4.5872 | 500 | 0.2309 | 21.6999 | 9.7647 |
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+ | 0.0068 | 9.1743 | 1000 | 0.1438 | 24.1216 | 11.7228 |
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+ | 0.0008 | 13.7615 | 1500 | 0.1345 | 17.5689 | 7.1453 |
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+ | 0.0005 | 18.3486 | 2000 | 0.1310 | 17.4264 | 7.0251 |
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+ | 0.0003 | 22.9358 | 2500 | 0.1286 | 17.6163 | 7.2827 |
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+ | 0.0002 | 27.5229 | 3000 | 0.1273 | 17.7113 | 7.2741 |
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+ | 0.0002 | 32.1101 | 3500 | 0.1263 | 17.0465 | 6.8963 |
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+ | 0.0002 | 36.6972 | 4000 | 0.1258 | 16.9516 | 6.8705 |
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+ | 0.0001 | 41.2844 | 4500 | 0.1253 | 16.8566 | 6.8276 |
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+ | 0.0001 | 45.8716 | 5000 | 0.1252 | 16.9516 | 6.8447 |
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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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