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52Hz-small-LORA-fr

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  1. README.md +25 -37
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,5 @@
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  ---
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  library_name: peft
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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:
@@ -11,18 +9,18 @@ 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 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: 0.3311
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  - Wer: 19.5896
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  ## Model description
@@ -51,43 +49,33 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 30
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 2.6698 | 1.0 | 21 | 1.0703 | 65.6716 |
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- | 1.4505 | 2.0 | 42 | 0.7071 | 40.1119 |
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- | 0.8063 | 3.0 | 63 | 0.4246 | 33.9552 |
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- | 0.5185 | 4.0 | 84 | 0.3435 | 30.5970 |
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- | 0.3976 | 5.0 | 105 | 0.3134 | 28.5448 |
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- | 0.2784 | 6.0 | 126 | 0.3100 | 28.1716 |
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- | 0.2058 | 7.0 | 147 | 0.2878 | 23.6940 |
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- | 0.1687 | 8.0 | 168 | 0.3124 | 25.3731 |
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- | 0.1543 | 9.0 | 189 | 0.3016 | 26.6791 |
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- | 0.1509 | 10.0 | 210 | 0.2871 | 22.5746 |
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- | 0.0932 | 11.0 | 231 | 0.2906 | 24.4403 |
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- | 0.0881 | 12.0 | 252 | 0.3020 | 22.0149 |
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- | 0.0774 | 13.0 | 273 | 0.2969 | 20.3358 |
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- | 0.0807 | 14.0 | 294 | 0.2988 | 21.6418 |
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- | 0.0558 | 15.0 | 315 | 0.3083 | 19.5896 |
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- | 0.0487 | 16.0 | 336 | 0.3145 | 18.4701 |
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- | 0.0489 | 17.0 | 357 | 0.3200 | 19.4030 |
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- | 0.0376 | 18.0 | 378 | 0.3349 | 21.8284 |
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- | 0.0417 | 19.0 | 399 | 0.3251 | 22.9478 |
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- | 0.0288 | 20.0 | 420 | 0.3154 | 18.2836 |
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- | 0.0311 | 21.0 | 441 | 0.3236 | 20.3358 |
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- | 0.0306 | 22.0 | 462 | 0.3177 | 19.5896 |
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- | 0.0229 | 23.0 | 483 | 0.3253 | 19.7761 |
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- | 0.0231 | 24.0 | 504 | 0.3298 | 19.9627 |
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- | 0.0198 | 25.0 | 525 | 0.3316 | 19.7761 |
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- | 0.0212 | 26.0 | 546 | 0.3322 | 19.7761 |
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- | 0.0208 | 27.0 | 567 | 0.3309 | 19.5896 |
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- | 0.0183 | 28.0 | 588 | 0.3317 | 19.5896 |
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- | 0.0254 | 29.0 | 609 | 0.3312 | 19.5896 |
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- | 0.0229 | 30.0 | 630 | 0.3311 | 19.5896 |
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  ### Framework versions
 
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  ---
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  library_name: peft
 
 
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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-LORA-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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+ # 52Hz-small-LORA-fr
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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: 0.3100
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  - Wer: 19.5896
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  ## Model description
 
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 2.4225 | 1.0 | 21 | 0.9856 | 61.0075 |
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+ | 1.1531 | 2.0 | 42 | 0.5645 | 34.5149 |
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+ | 0.6599 | 3.0 | 63 | 0.3796 | 29.8507 |
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+ | 0.4498 | 4.0 | 84 | 0.3136 | 26.6791 |
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+ | 0.3502 | 5.0 | 105 | 0.2993 | 26.6791 |
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+ | 0.2559 | 6.0 | 126 | 0.3062 | 25.5597 |
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+ | 0.1846 | 7.0 | 147 | 0.2905 | 21.6418 |
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+ | 0.1538 | 8.0 | 168 | 0.3110 | 23.6940 |
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+ | 0.1498 | 9.0 | 189 | 0.2954 | 21.0821 |
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+ | 0.1431 | 10.0 | 210 | 0.2963 | 20.7090 |
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+ | 0.0861 | 11.0 | 231 | 0.2945 | 19.5896 |
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+ | 0.082 | 12.0 | 252 | 0.3092 | 22.2015 |
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+ | 0.0786 | 13.0 | 273 | 0.2977 | 19.0299 |
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+ | 0.072 | 14.0 | 294 | 0.2997 | 21.2687 |
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+ | 0.0613 | 15.0 | 315 | 0.3030 | 20.3358 |
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+ | 0.0489 | 16.0 | 336 | 0.3104 | 20.3358 |
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+ | 0.0527 | 17.0 | 357 | 0.3075 | 19.4030 |
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+ | 0.052 | 18.0 | 378 | 0.3099 | 19.7761 |
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+ | 0.0518 | 19.0 | 399 | 0.3101 | 19.5896 |
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+ | 0.0491 | 20.0 | 420 | 0.3100 | 19.5896 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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