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End of training

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  1. README.md +82 -0
  2. generation_config.json +248 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ language:
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+ - fr
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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: openai/whisper-tiny
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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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+ # openai/whisper-tiny
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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 pphuc25/FranceMed dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9080
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+ - Wer: 56.1584
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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: 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: 100
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+ - num_epochs: 20
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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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+ | 1.3284 | 1.0 | 215 | 1.3160 | 94.5748 |
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+ | 0.8758 | 2.0 | 430 | 1.3129 | 84.3842 |
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+ | 0.5092 | 3.0 | 645 | 1.3872 | 57.4047 |
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+ | 0.295 | 4.0 | 860 | 1.4638 | 70.3079 |
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+ | 0.1646 | 5.0 | 1075 | 1.5513 | 69.0616 |
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+ | 0.0939 | 6.0 | 1290 | 1.6665 | 60.6305 |
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+ | 0.0585 | 7.0 | 1505 | 1.7200 | 54.8387 |
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+ | 0.0411 | 8.0 | 1720 | 1.6980 | 54.1789 |
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+ | 0.0295 | 9.0 | 1935 | 1.7985 | 56.0850 |
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+ | 0.023 | 10.0 | 2150 | 1.8064 | 57.1114 |
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+ | 0.0106 | 11.0 | 2365 | 1.8492 | 54.3255 |
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+ | 0.011 | 12.0 | 2580 | 1.8559 | 57.2581 |
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+ | 0.0087 | 13.0 | 2795 | 1.8624 | 59.5308 |
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+ | 0.0069 | 14.0 | 3010 | 1.8581 | 57.1114 |
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+ | 0.0028 | 15.0 | 3225 | 1.8776 | 58.1378 |
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+ | 0.002 | 16.0 | 3440 | 1.8993 | 56.5982 |
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+ | 0.0023 | 17.0 | 3655 | 1.8775 | 56.5249 |
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+ | 0.0011 | 18.0 | 3870 | 1.9031 | 56.8915 |
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+ | 0.0009 | 19.0 | 4085 | 1.9053 | 55.9384 |
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+ | 0.0009 | 20.0 | 4300 | 1.9080 | 56.1584 |
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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 2.3.0
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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