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  1. README.md +74 -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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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-small-few-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-small-few-audios
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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: 5.5464
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+ - Wer: 900.0
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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: 10
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+ - training_steps: 100
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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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+ | 1.9573 | 2.8571 | 10 | 5.5464 | 900.0 |
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+ | 13.8022 | 5.7143 | 20 | 5.5464 | 900.0 |
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+ | 7.7452 | 8.5714 | 30 | 5.5464 | 900.0 |
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+ | 5.4596 | 11.4286 | 40 | 5.5464 | 900.0 |
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+ | 4.1531 | 14.2857 | 50 | 5.5464 | 900.0 |
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+ | 3.1925 | 17.1429 | 60 | 5.5464 | 900.0 |
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+ | 2.5773 | 20.0 | 70 | 5.5464 | 900.0 |
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+ | 2.11 | 22.8571 | 80 | 5.5464 | 900.0 |
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+ | 14.2077 | 25.7143 | 90 | 5.5464 | 900.0 |
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+ | 8.6216 | 28.5714 | 100 | 5.5464 | 900.0 |
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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 2.3.1+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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