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  1. README.md +73 -0
  2. generation_config.json +159 -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: fs-w-he-tiny
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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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+ # fs-w-he-tiny
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6276
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+ - Wer: 139.9335
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+ - Cer: 134.1807
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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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+ | 10.7026 | 4.5872 | 500 | 10.1826 | 184.1406 | 154.3198 |
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+ | 2.9461 | 9.1743 | 1000 | 3.4468 | 227.1130 | 234.3696 |
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+ | 1.2202 | 13.7615 | 1500 | 2.2670 | 130.1045 | 120.0275 |
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+ | 0.5577 | 18.3486 | 2000 | 1.9164 | 113.2953 | 101.0735 |
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+ | 0.2603 | 22.9358 | 2500 | 1.9956 | 138.4615 | 129.8952 |
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+ | 0.0533 | 27.5229 | 3000 | 2.1263 | 130.7217 | 120.5428 |
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+ | 0.012 | 32.1101 | 3500 | 2.3153 | 111.6334 | 96.2985 |
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+ | 0.0012 | 36.6972 | 4000 | 2.4891 | 126.2108 | 114.8574 |
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+ | 0.0003 | 41.2844 | 4500 | 2.5962 | 139.4112 | 129.4401 |
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+ | 0.0002 | 45.8716 | 5000 | 2.6276 | 139.9335 | 134.1807 |
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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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