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Commit
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End of training

Browse files
README.md CHANGED
@@ -1,9 +1,99 @@
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  ---
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  language:
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  - hu
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- widget:
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- - example_title: Sample 1
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- src: https://huggingface.co/datasets/Hungarians/samples/resolve/main/Sample1.flac
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- - example_title: Sample 2
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- src: https://huggingface.co/datasets/Hungarians/samples/resolve/main/Sample2.flac
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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  - hu
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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_11_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Tiny Hu CV17
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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: common_voice_11_0
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+ config: hu
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+ split: None
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+ args: hu
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 9.925882004150607
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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 Hu CV17
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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 17.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1387
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+ - Wer Ortho: 10.7883
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+ - Wer: 9.9259
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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: 7.5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 32
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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 Ortho | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.6432 | 0.3298 | 250 | 0.7031 | 59.9211 | 57.3051 |
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+ | 0.4839 | 0.6596 | 500 | 0.5256 | 50.4185 | 47.3406 |
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+ | 0.4127 | 0.9894 | 750 | 0.4089 | 40.9250 | 37.8002 |
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+ | 0.2858 | 1.3193 | 1000 | 0.3434 | 34.4725 | 31.8885 |
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+ | 0.2616 | 1.6491 | 1250 | 0.3027 | 32.2956 | 29.2203 |
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+ | 0.2448 | 1.9789 | 1500 | 0.2571 | 28.1705 | 25.3780 |
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+ | 0.1474 | 2.3087 | 1750 | 0.2318 | 25.4426 | 22.8343 |
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+ | 0.1434 | 2.6385 | 2000 | 0.2112 | 22.7749 | 20.3647 |
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+ | 0.14 | 2.9683 | 2250 | 0.1922 | 20.1102 | 17.7883 |
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+ | 0.0768 | 3.2982 | 2500 | 0.1797 | 18.2344 | 15.9917 |
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+ | 0.0764 | 3.6280 | 2750 | 0.1678 | 16.5573 | 14.6161 |
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+ | 0.0737 | 3.9578 | 3000 | 0.1573 | 15.0337 | 13.6199 |
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+ | 0.0375 | 4.2876 | 3250 | 0.1538 | 14.0130 | 12.3243 |
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+ | 0.0357 | 4.6174 | 3500 | 0.1495 | 13.1970 | 11.7106 |
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+ | 0.033 | 4.9472 | 3750 | 0.1435 | 11.9234 | 10.8005 |
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+ | 0.0138 | 5.2770 | 4000 | 0.1422 | 11.8873 | 10.7026 |
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+ | 0.0137 | 5.6069 | 4250 | 0.1398 | 11.4477 | 10.4684 |
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+ | 0.0135 | 5.9367 | 4500 | 0.1381 | 11.1436 | 10.2639 |
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+ | 0.0072 | 6.2665 | 4750 | 0.1388 | 10.7853 | 9.9140 |
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+ | 0.0065 | 6.5963 | 5000 | 0.1387 | 10.7883 | 9.9259 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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