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  1. README.md +71 -0
  2. generation_config.json +3 -2
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ language:
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+ - ymr
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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: leenag/Malasar_Luke
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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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+ # leenag/Malasar_Luke
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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 Spoken Bible Corpus: Malasar dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6211
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+ - Wer: 60.1371
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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: 32
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+ - eval_batch_size: 16
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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: 2000
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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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+ | 0.1612 | 11.3636 | 250 | 0.3185 | 64.0206 |
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+ | 0.0114 | 22.7273 | 500 | 0.4682 | 65.7339 |
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+ | 0.0016 | 34.0909 | 750 | 0.5380 | 59.9657 |
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+ | 0.0004 | 45.4545 | 1000 | 0.5761 | 59.8515 |
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+ | 0.0003 | 56.8182 | 1250 | 0.5969 | 59.6802 |
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+ | 0.0002 | 68.1818 | 1500 | 0.6104 | 60.3655 |
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+ | 0.0002 | 79.5455 | 1750 | 0.6181 | 60.1942 |
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+ | 0.0002 | 90.9091 | 2000 | 0.6211 | 60.1371 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.19.1
generation_config.json CHANGED
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  }
 
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