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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - th
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+ license: apache-2.0
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+ base_model: openai/whisper-medium
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+ tags:
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+ - asr
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+ - speech-recognition
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+ - thai
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+ - custom-model
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+ - fine-tuning
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+ - Common Voice
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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 Medium TH - Custom datasets and Common voice 17
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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 Medium TH - Custom datasets and Common voice 17
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+
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_17_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1365
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+ - Wer: 59.1432
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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: 16
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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: 3000
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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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+ | 0.267 | 0.2405 | 500 | 0.2401 | 77.2512 |
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+ | 0.1975 | 0.4810 | 1000 | 0.1865 | 68.8672 |
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+ | 0.1935 | 0.7215 | 1500 | 0.1659 | 64.4477 |
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+ | 0.1591 | 0.9620 | 2000 | 0.1477 | 63.3167 |
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+ | 0.0821 | 1.2025 | 2500 | 0.1431 | 60.2557 |
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+ | 0.0762 | 1.4430 | 3000 | 0.1365 | 59.1432 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.20.3
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