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  1. README.md +21 -23
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,5 @@
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  ---
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  library_name: transformers
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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:
@@ -9,19 +7,19 @@ tags:
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  metrics:
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  - wer
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  model-index:
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- - name: 52Hz Tiny Fr - IMT Atlantique X 52 Hertz
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  results: []
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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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- # 52Hz Tiny Fr - IMT Atlantique X 52 Hertz
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- This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Premier dataset organisé de 52 Hertz dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8507
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- - Wer: 56.4943
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  ## Model description
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@@ -40,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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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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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 5.4098 | 1.0 | 12 | 2.0801 | 424.9685 |
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- | 4.352 | 2.0 | 24 | 1.6992 | 382.7238 |
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- | 2.9677 | 3.0 | 36 | 1.5014 | 217.6545 |
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- | 2.5554 | 4.0 | 48 | 1.2526 | 133.0391 |
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- | 2.0552 | 5.0 | 60 | 1.1365 | 126.4817 |
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- | 1.7444 | 6.0 | 72 | 1.0365 | 67.4653 |
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- | 1.5987 | 7.0 | 84 | 0.9712 | 107.5662 |
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- | 1.4851 | 8.0 | 96 | 0.9241 | 96.4691 |
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- | 1.3344 | 9.0 | 108 | 0.8932 | 81.4628 |
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- | 1.3867 | 10.0 | 120 | 0.8806 | 79.1929 |
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- | 1.1471 | 11.0 | 132 | 0.8684 | 57.6293 |
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- | 1.2089 | 12.0 | 144 | 0.8560 | 56.9987 |
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- | 1.1472 | 13.0 | 156 | 0.8502 | 74.4010 |
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- | 1.1543 | 14.0 | 168 | 0.8506 | 56.4943 |
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- | 1.0886 | 15.0 | 180 | 0.8507 | 56.4943 |
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  ### Framework versions
 
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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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  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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  <!-- 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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+ # whisper-tiny-fr
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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: 0.6664
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+ - Wer: 58.6381
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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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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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 5.0278 | 1.0 | 12 | 1.9196 | 763.3039 |
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+ | 3.4923 | 2.0 | 24 | 1.4318 | 492.8121 |
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+ | 1.9181 | 3.0 | 36 | 1.0781 | 178.0580 |
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+ | 1.5961 | 4.0 | 48 | 0.9307 | 100.1261 |
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+ | 1.2186 | 5.0 | 60 | 0.8604 | 93.4426 |
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+ | 0.9392 | 6.0 | 72 | 0.8176 | 68.8525 |
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+ | 0.8361 | 7.0 | 84 | 0.7492 | 38.7137 |
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+ | 0.783 | 8.0 | 96 | 0.7197 | 69.2308 |
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+ | 0.68 | 9.0 | 108 | 0.6915 | 40.7314 |
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+ | 0.6685 | 10.0 | 120 | 0.6762 | 56.3682 |
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+ | 0.5406 | 11.0 | 132 | 0.6753 | 63.0517 |
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+ | 0.5741 | 12.0 | 144 | 0.6721 | 59.6469 |
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+ | 0.5247 | 13.0 | 156 | 0.6677 | 62.9256 |
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+ | 0.5278 | 14.0 | 168 | 0.6663 | 62.0429 |
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+ | 0.4853 | 15.0 | 180 | 0.6664 | 58.6381 |
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  ### Framework versions
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