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README.md ADDED
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+ ---
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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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+ - trnslation
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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: Whisper-Sinhala_Audio_to_Text
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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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+ # Whisper-Sinhala_Audio_to_Text
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9038
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+ - Wer: 50.0822
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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: 8
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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: 16
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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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+ - num_epochs: 50
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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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+ | 0.0665 | 4.76 | 1000 | 0.5398 | 57.8125 |
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+ | 0.0096 | 9.52 | 2000 | 0.6716 | 56.2089 |
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+ | 0.0037 | 14.29 | 3000 | 0.7457 | 52.7549 |
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+ | 0.0005 | 19.05 | 4000 | 0.8000 | 51.1513 |
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+ | 0.002 | 23.81 | 5000 | 0.8057 | 51.6859 |
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+ | 0.0005 | 28.57 | 6000 | 0.8150 | 50.3289 |
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+ | 0.0005 | 33.33 | 7000 | 0.8445 | 51.0280 |
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+ | 0.0 | 38.1 | 8000 | 0.8773 | 50.1234 |
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+ | 0.0 | 42.86 | 9000 | 0.8944 | 50.1234 |
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+ | 0.0 | 47.62 | 10000 | 0.9038 | 50.0822 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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