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rangsitra-whisper-sm-1-1-10k-rgss

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Thai
whisper
Generated from Trainer
Eval Results
Model card Files
xet
Metrics Community
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Training in progress, epoch 1

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  1. README.md +85 -0
  2. config.json +60 -0
  3. generation_config.json +254 -0
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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-small
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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_17_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Rangsitra Whisper
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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 17.0
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+ type: mozilla-foundation/common_voice_17_0
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+ config: th
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+ split: None
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+ args: 'config: th, split: train'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 50.5215308065606
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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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+ # Rangsitra Whisper
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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 Common Voice 17.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Cer: 16.9770
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+ - Wer: 50.5215
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+ - Loss: 0.4692
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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: 0.0001
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: warmup_stable_decay
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+ - lr_scheduler_warmup_steps: 312
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+ - num_epochs: 5
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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 | Cer | Wer | Validation Loss |
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+ |:-------------:|:-----:|:----:|:-------:|:-------:|:---------------:|
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+ | 0.5794 | 1.0 | 625 | 29.7974 | 76.7516 | 0.6178 |
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+ | 0.4341 | 2.0 | 1250 | 25.9463 | 72.2551 | 0.5594 |
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+ | 0.2522 | 3.0 | 1875 | 24.1075 | 66.3984 | 0.5357 |
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+ | 0.1007 | 4.0 | 2500 | 20.0265 | 57.3414 | 0.4880 |
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+ | 0.0203 | 5.0 | 3125 | 16.9770 | 50.5215 | 0.4692 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.52.4
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+ - Pytorch 2.7.1+cu126
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.2
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