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MathildeB3
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52Hz-small-fr-v3

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
French
whisper
Generated from Trainer
Model card Files
xet
 Metrics Community
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  1. README.md +20 -22
  2. model.safetensors +1 -1
  3. runs/Feb18_19-01-02_sl-tp-br-517/events.out.tfevents.1771437664.sl-tp-br-517.2580079.0 +2 -2
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-small
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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 Small 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 Small Fr - IMT Atlantique X 52 Hertz
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Transcriptions IMTx52Hz v2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4085
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- - Wer: 17.6471
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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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- | 1.461 | 1.0 | 22 | 0.8945 | 41.0131 |
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- | 0.6454 | 2.0 | 44 | 0.5209 | 25.4902 |
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- | 0.3068 | 3.0 | 66 | 0.4752 | 21.0784 |
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- | 0.2361 | 4.0 | 88 | 0.4253 | 19.9346 |
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- | 0.1448 | 5.0 | 110 | 0.4112 | 19.7712 |
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- | 0.1367 | 6.0 | 132 | 0.4118 | 17.9739 |
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- | 0.0945 | 7.0 | 154 | 0.4220 | 19.6078 |
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- | 0.0575 | 8.0 | 176 | 0.4065 | 16.9935 |
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- | 0.0421 | 9.0 | 198 | 0.4356 | 17.6471 |
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- | 0.0414 | 10.0 | 220 | 0.4186 | 17.8105 |
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- | 0.027 | 11.0 | 242 | 0.4105 | 17.3203 |
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- | 0.0249 | 12.0 | 264 | 0.4037 | 16.9935 |
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- | 0.0314 | 13.0 | 286 | 0.4077 | 17.3203 |
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- | 0.0214 | 14.0 | 308 | 0.4085 | 17.6471 |
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- | 0.0148 | 15.0 | 330 | 0.4085 | 17.6471 |
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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-small
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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: 52Hz-small-fr-v3
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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-small-fr-v3
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4065
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+ - Wer: 17.8105
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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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+ | 1.4611 | 1.0 | 22 | 0.8947 | 39.8693 |
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+ | 0.6451 | 2.0 | 44 | 0.5211 | 25.4902 |
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+ | 0.3082 | 3.0 | 66 | 0.4803 | 20.4248 |
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+ | 0.224 | 4.0 | 88 | 0.4255 | 37.7451 |
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+ | 0.1531 | 5.0 | 110 | 0.4062 | 17.9739 |
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+ | 0.1294 | 6.0 | 132 | 0.4146 | 19.1176 |
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+ | 0.1018 | 7.0 | 154 | 0.4123 | 19.6078 |
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+ | 0.0546 | 8.0 | 176 | 0.4034 | 20.2614 |
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+ | 0.0401 | 9.0 | 198 | 0.4386 | 17.3203 |
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+ | 0.0476 | 10.0 | 220 | 0.4225 | 18.6275 |
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+ | 0.0261 | 11.0 | 242 | 0.4131 | 18.4641 |
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+ | 0.0226 | 12.0 | 264 | 0.4035 | 17.8105 |
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+ | 0.0323 | 13.0 | 286 | 0.4050 | 17.6471 |
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+ | 0.0208 | 14.0 | 308 | 0.4064 | 17.8105 |
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+ | 0.0189 | 15.0 | 330 | 0.4065 | 17.8105 |
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  ### Framework versions
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