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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: 1.1336
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- - Wer: 125.8512
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  ## Model description
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@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 3.9891 | 1.0 | 12 | 2.1217 | 428.8777 |
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- | 3.2032 | 2.0 | 24 | 1.8156 | 291.4250 |
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- | 2.3943 | 3.0 | 36 | 1.5822 | 218.0328 |
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- | 2.1561 | 4.0 | 48 | 1.4363 | 252.5851 |
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- | 1.899 | 5.0 | 60 | 1.3467 | 209.7100 |
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- | 1.7124 | 6.0 | 72 | 1.2833 | 145.2711 |
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- | 1.6462 | 7.0 | 84 | 1.2368 | 209.9622 |
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- | 1.5406 | 8.0 | 96 | 1.2013 | 186.2547 |
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- | 1.4254 | 9.0 | 108 | 1.1809 | 222.5725 |
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- | 1.5052 | 10.0 | 120 | 1.1606 | 191.6772 |
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- | 1.2391 | 11.0 | 132 | 1.1416 | 220.0504 |
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- | 1.3729 | 12.0 | 144 | 1.1396 | 180.3279 |
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- | 1.2897 | 13.0 | 156 | 1.1361 | 152.4590 |
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- | 1.2493 | 14.0 | 168 | 1.1341 | 125.8512 |
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- | 1.2885 | 15.0 | 180 | 1.1336 | 125.8512 |
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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: 0.8507
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+ - Wer: 56.4943
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  ## Model description
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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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