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End of training

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  1. README.md +71 -0
  2. generation_config.json +264 -0
  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_Dict
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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_Dict
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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: 0.0316
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+ - Wer: 35.6110
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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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+ | 0.1675 | 0.6083 | 250 | 0.0688 | 52.2824 |
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+ | 0.0941 | 1.2165 | 500 | 0.0480 | 41.7635 |
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+ | 0.0891 | 1.8248 | 750 | 0.0433 | 46.4417 |
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+ | 0.0502 | 2.4331 | 1000 | 0.0403 | 40.0340 |
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+ | 0.0606 | 3.0414 | 1250 | 0.0332 | 35.7244 |
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+ | 0.0326 | 3.6496 | 1500 | 0.0318 | 34.3351 |
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+ | 0.0159 | 4.2579 | 1750 | 0.0319 | 33.4562 |
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+ | 0.0276 | 4.8662 | 2000 | 0.0316 | 35.6110 |
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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 2.0.1+cu117
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+ - Datasets 2.16.0
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+ - Tokenizers 0.19.1
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