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End of training

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  1. README.md +85 -0
  2. generation_config.json +247 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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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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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-tiny-fr
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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-tiny-fr
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8198
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+ - Wer: 0.8502
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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: 8
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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: 6250
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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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+ | 0.6223 | 1.0 | 250 | 0.7567 | 0.7225 |
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+ | 0.475 | 2.0 | 500 | 0.6213 | 0.5461 |
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+ | 0.2938 | 3.0 | 750 | 0.5860 | 0.5383 |
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+ | 0.1613 | 4.0 | 1000 | 0.5903 | 0.4384 |
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+ | 0.1026 | 5.0 | 1250 | 0.5992 | 0.4451 |
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+ | 0.0615 | 6.0 | 1500 | 0.6322 | 0.5383 |
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+ | 0.0422 | 7.0 | 1750 | 0.6398 | 0.4373 |
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+ | 0.019 | 8.0 | 2000 | 0.6682 | 0.5239 |
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+ | 0.0125 | 9.0 | 2250 | 0.6980 | 0.6681 |
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+ | 0.0069 | 10.0 | 2500 | 0.7335 | 0.8679 |
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+ | 0.0039 | 11.0 | 2750 | 0.7354 | 0.6238 |
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+ | 0.0026 | 12.0 | 3000 | 0.7458 | 0.6315 |
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+ | 0.0021 | 13.0 | 3250 | 0.7599 | 0.6715 |
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+ | 0.0018 | 14.0 | 3500 | 0.7682 | 0.7103 |
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+ | 0.0015 | 15.0 | 3750 | 0.7750 | 0.7081 |
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+ | 0.0013 | 16.0 | 4000 | 0.7846 | 0.7125 |
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+ | 0.0012 | 17.0 | 4250 | 0.7897 | 0.7114 |
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+ | 0.001 | 18.0 | 4500 | 0.7962 | 0.9345 |
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+ | 0.0009 | 19.0 | 4750 | 0.8001 | 0.7170 |
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+ | 0.0009 | 20.0 | 5000 | 0.8074 | 0.8335 |
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+ | 0.0008 | 21.0 | 5250 | 0.8107 | 0.8424 |
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+ | 0.0007 | 22.0 | 5500 | 0.8152 | 0.8402 |
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+ | 0.0007 | 23.0 | 5750 | 0.8181 | 0.8446 |
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+ | 0.0007 | 24.0 | 6000 | 0.8187 | 0.8479 |
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+ | 0.0007 | 25.0 | 6250 | 0.8198 | 0.8502 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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