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End of training

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README.md ADDED
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+ ---
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+ language:
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+ - tel
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+ license: apache-2.0
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+ base_model: openai/whisper-large-v3
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - jayasuryajsk/google-fleurs-te-romanized
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Wishper-Large-V3-Telugu_Romanized
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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: Telugu Romanized 1.0
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+ type: jayasuryajsk/google-fleurs-te-romanized
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 67.44785563627842
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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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+ # Wishper-Large-V3-Telugu_Romanized
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Telugu Romanized 1.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5824
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+ - Wer: 67.4479
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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: 20
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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: 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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+ | 0.0079 | 8.6207 | 1000 | 1.4603 | 64.9051 |
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+ | 0.0007 | 17.2414 | 2000 | 1.5824 | 67.4479 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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