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End of training

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  1. README.md +90 -0
  2. generation_config.json +248 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ language:
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+ - ur
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+ license: apache-2.0
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+ base_model: openai/whisper-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_11_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Base Ur - TahaMan
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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: Common Voice 11.0
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+ type: mozilla-foundation/common_voice_11_0
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+ config: ur
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+ split: None
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+ args: 'config: ur, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 60.76523994811932
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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 Base Ur - TahaMan
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+
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1893
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+ - Wer: 60.7652
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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: 8
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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: 50
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+ - training_steps: 500
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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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+ | 1.1544 | 4.0 | 50 | 0.9766 | 57.2633 |
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+ | 0.5159 | 8.0 | 100 | 0.9178 | 75.0324 |
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+ | 0.2399 | 12.0 | 150 | 0.9604 | 76.7185 |
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+ | 0.1005 | 16.0 | 200 | 1.0300 | 59.1440 |
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+ | 0.0372 | 20.0 | 250 | 1.0988 | 70.0389 |
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+ | 0.0168 | 24.0 | 300 | 1.1373 | 66.3424 |
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+ | 0.0109 | 28.0 | 350 | 1.1638 | 61.0246 |
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+ | 0.0085 | 32.0 | 400 | 1.1781 | 61.0895 |
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+ | 0.0074 | 36.0 | 450 | 1.1864 | 60.9598 |
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+ | 0.0069 | 40.0 | 500 | 1.1893 | 60.7652 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.3
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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