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./Hugging-face-models/whisper-med-LoRA_FAA_data_small

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  1. README.md +7 -12
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.1617
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  - Wer: 56.9444
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  ## Model description
@@ -43,22 +43,17 @@ The following hyperparameters were used during training:
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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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- - num_epochs: 10
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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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- | 4.5172 | 1.0 | 2 | 4.4887 | 56.9444 |
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- | 4.3753 | 2.0 | 4 | 4.4566 | 56.9444 |
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- | 4.5353 | 3.0 | 6 | 4.3517 | 56.9444 |
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- | 4.3463 | 4.0 | 8 | 4.2345 | 56.9444 |
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- | 4.1617 | 5.0 | 10 | 4.2299 | 56.9444 |
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- | 4.3382 | 6.0 | 12 | 4.2150 | 56.9444 |
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- | 4.2763 | 7.0 | 14 | 4.1884 | 56.9444 |
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- | 4.2853 | 8.0 | 16 | 4.1740 | 56.9444 |
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- | 4.2673 | 9.0 | 18 | 4.1669 | 56.9444 |
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- | 4.1283 | 10.0 | 20 | 4.1617 | 56.9444 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.2316
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  - Wer: 56.9444
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  ## Model description
 
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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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+ - num_epochs: 5
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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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+ | 4.5172 | 1.0 | 2 | 4.4875 | 56.9444 |
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+ | 4.3742 | 2.0 | 4 | 4.4471 | 56.9444 |
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+ | 4.5366 | 3.0 | 6 | 4.3552 | 56.9444 |
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+ | 4.3537 | 4.0 | 8 | 4.3168 | 56.9444 |
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+ | 4.1782 | 5.0 | 10 | 4.2316 | 56.9444 |
 
 
 
 
 
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  ### Framework versions
adapter_model.bin CHANGED
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