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  1. README.md +90 -0
  2. generation_config.json +240 -0
  3. model.safetensors +1 -1
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
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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-all-audios
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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-all-audios
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0368
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+ - Wer: 1.9658
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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: 25
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+ - training_steps: 650
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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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+ | 1.4661 | 0.05 | 25 | 0.5654 | 20.5212 |
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+ | 0.2642 | 0.1 | 50 | 0.1588 | 8.6859 |
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+ | 0.1282 | 0.15 | 75 | 0.1102 | 6.3494 |
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+ | 0.0861 | 0.2 | 100 | 0.0901 | 4.9068 |
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+ | 0.0652 | 0.25 | 125 | 0.0784 | 4.0738 |
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+ | 0.0676 | 0.3 | 150 | 0.0695 | 3.4490 |
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+ | 0.0865 | 0.35 | 175 | 0.0649 | 3.4185 |
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+ | 0.0454 | 0.4 | 200 | 0.0610 | 3.0477 |
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+ | 0.0517 | 0.45 | 225 | 0.0567 | 2.9664 |
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+ | 0.0471 | 0.5 | 250 | 0.0548 | 2.8344 |
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+ | 0.0394 | 0.55 | 275 | 0.0521 | 2.8648 |
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+ | 0.0347 | 0.6 | 300 | 0.0488 | 2.4585 |
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+ | 0.0596 | 0.65 | 325 | 0.0477 | 2.4483 |
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+ | 0.0426 | 0.7 | 350 | 0.0452 | 2.7836 |
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+ | 0.0428 | 0.75 | 375 | 0.0436 | 2.2401 |
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+ | 0.0518 | 0.8 | 400 | 0.0417 | 2.1181 |
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+ | 0.0379 | 0.85 | 425 | 0.0407 | 2.0928 |
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+ | 0.0259 | 0.9 | 450 | 0.0399 | 1.9861 |
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+ | 0.0691 | 0.95 | 475 | 0.0394 | 2.2096 |
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+ | 0.0382 | 1.0 | 500 | 0.0384 | 2.1131 |
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+ | 0.0311 | 1.05 | 525 | 0.0377 | 1.9810 |
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+ | 0.0301 | 1.1 | 550 | 0.0375 | 1.9404 |
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+ | 0.021 | 1.15 | 575 | 0.0371 | 1.9505 |
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+ | 0.0205 | 1.2 | 600 | 0.0369 | 1.9404 |
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+ | 0.0163 | 1.25 | 625 | 0.0369 | 1.9505 |
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+ | 0.018 | 1.3 | 650 | 0.0368 | 1.9658 |
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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 2.4.1+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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