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End of training

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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-tiny
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - sinhala_asr
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-tiny-sinhala-20k
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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: sinhala_asr
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+ type: sinhala_asr
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 92.99603723159156
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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-tiny-sinhala-20k
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the sinhala_asr dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2433
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+ - Wer: 92.9960
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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: 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: 5000
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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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+ | 0.4207 | 0.4 | 1000 | 0.3978 | 221.9058 |
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+ | 0.2966 | 0.8 | 2000 | 0.3009 | 136.3423 |
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+ | 0.226 | 1.2 | 3000 | 0.2661 | 97.6638 |
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+ | 0.2224 | 1.6 | 4000 | 0.2510 | 92.3279 |
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+ | 0.2034 | 2.0 | 5000 | 0.2433 | 92.9960 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.0
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