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End of training

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  1. README.md +77 -0
  2. generation_config.json +263 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ language:
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+ - hi
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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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+ - hf-asr-leaderboard
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+ - generated_from_trainer
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+ model-index:
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+ - name: Whisper Small ko-Yfreq - syp1229
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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 Small ko-Yfreq - syp1229
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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 aihub Y dialogue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.5884
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+ - Cer: 0.8501
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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: 0.002
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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: 100
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 5.7567 | 0.3 | 100 | 6.1420 | 0.9849 |
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+ | 5.5645 | 0.59 | 200 | 5.7215 | 0.9903 |
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+ | 5.1849 | 0.89 | 300 | 5.3951 | 0.9170 |
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+ | 5.0416 | 1.18 | 400 | 5.3100 | 0.8497 |
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+ | 4.5767 | 1.48 | 500 | 5.0656 | 0.9404 |
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+ | 4.6818 | 1.78 | 600 | 5.0057 | 0.8237 |
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+ | 4.4227 | 2.07 | 700 | 4.9162 | 0.8776 |
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+ | 4.3057 | 2.37 | 800 | 4.8226 | 0.8212 |
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+ | 4.3631 | 2.66 | 900 | 4.7700 | 0.8636 |
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+ | 4.1999 | 2.96 | 1000 | 4.6969 | 0.8476 |
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+ | 4.0789 | 3.25 | 1100 | 4.7653 | 0.9222 |
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+ | 4.1997 | 3.55 | 1200 | 4.6345 | 0.8642 |
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+ | 3.8299 | 3.85 | 1300 | 4.6444 | 0.8282 |
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+ | 3.6904 | 4.14 | 1400 | 4.6633 | 0.8451 |
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+ | 3.7531 | 4.44 | 1500 | 4.6527 | 0.9382 |
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+ | 3.8045 | 4.73 | 1600 | 4.5884 | 0.8501 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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