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  1. README.md +81 -0
  2. generation_config.json +248 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ - common_voice_16_1
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: output1
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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_16_1
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+ type: common_voice_16_1
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+ config: ko
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+ split: test
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+ args: ko
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 140.13953488372093
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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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+ # output1
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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 common_voice_16_1 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0385
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+ - Wer: 140.1395
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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: 8
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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: 4000
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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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+ | 0.0034 | 25.0 | 1000 | 0.9055 | 100.2326 |
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+ | 0.001 | 50.0 | 2000 | 0.9852 | 113.7674 |
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+ | 0.0005 | 75.0 | 3000 | 1.0243 | 139.9070 |
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+ | 0.0004 | 100.0 | 4000 | 1.0385 | 140.1395 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.1+cpu
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+ - Datasets 3.0.0
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+ - Tokenizers 0.19.1
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