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  1. README.md +68 -0
  2. generation_config.json +256 -0
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-small
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Whisper-Small-architecture-change
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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-Small-architecture-change
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5823
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+ - Cer: 36.6006
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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: 3750
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+ - training_steps: 30000
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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 | Cer | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:--------:|:---------------:|
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+ | 3.0206 | 1.0 | 3750 | 101.4703 | 2.9448 |
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+ | 2.6624 | 2.0 | 7500 | 99.0366 | 2.7587 |
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+ | 1.4476 | 3.0 | 11250 | 80.5695 | 1.4832 |
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+ | 0.7219 | 4.0 | 15000 | 49.1456 | 0.8063 |
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+ | 0.5387 | 5.0 | 18750 | 41.2985 | 0.6620 |
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+ | 0.3824 | 6.0 | 22500 | 39.1312 | 0.6240 |
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+ | 0.3445 | 7.0 | 26250 | 0.5984 | 37.5137 |
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+ | 0.2819 | 8.0 | 30000 | 0.5823 | 36.6006 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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