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  1. README.md +83 -0
  2. generation_config.json +264 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: arun100/whisper-small-uk-1
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - fleurs
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: arun100/whisper-small-uk-1
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: fleurs
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+ type: fleurs
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+ config: uk_ua
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+ split: test
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+ args: uk_ua
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 19.491997216423105
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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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+ # arun100/whisper-small-uk-1
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+
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+ This model is a fine-tuned version of [arun100/whisper-small-uk-1](https://huggingface.co/arun100/whisper-small-uk-1) on the fleurs dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3297
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+ - Wer: 19.4920
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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: 5e-07
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.0191 | 95.0 | 1000 | 0.2881 | 18.6848 |
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+ | 0.0061 | 190.0 | 2000 | 0.3058 | 18.8935 |
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+ | 0.0035 | 285.0 | 3000 | 0.3179 | 19.2276 |
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+ | 0.0025 | 380.0 | 4000 | 0.3263 | 19.4502 |
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+ | 0.0022 | 476.0 | 5000 | 0.3297 | 19.4920 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.2.dev0
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+ - Tokenizers 0.15.0
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