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sjhuskey
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enenlhet-whisper-model

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Metrics Community
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  1. README.md +9 -6
  2. model.safetensors +1 -1
  3. runs/Jul15_00-18-03_04cc561c7ab8/events.out.tfevents.1752538684.04cc561c7ab8.63068.0 +3 -0
  4. runs/Jul15_00-18-03_04cc561c7ab8/events.out.tfevents.1752545479.04cc561c7ab8.63068.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.5710
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- - Wer: 100.0
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  ## Model description
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@@ -54,10 +54,13 @@ 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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- | 5.6597 | 0.6349 | 200 | 5.5710 | 100.0 |
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- | 3.8798 | 1.2698 | 400 | 3.7735 | 664.5355 |
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- | 3.2422 | 1.9048 | 600 | 3.2951 | 789.4106 |
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- | 2.9539 | 2.5397 | 800 | 3.1505 | 592.2577 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0761
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+ - Wer: 401.8482
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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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+ | 4.8362 | 0.6349 | 200 | 4.6361 | 433.6164 |
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+ | 3.2841 | 1.2698 | 400 | 3.3433 | 701.9980 |
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+ | 2.9488 | 1.9048 | 600 | 3.1135 | 489.0110 |
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+ | 2.6678 | 2.5397 | 800 | 3.0761 | 401.8482 |
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+ | 2.2033 | 3.1746 | 1000 | 3.0243 | 516.7832 |
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+ | 2.2217 | 3.8095 | 1200 | 2.9911 | 562.1878 |
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+ | 1.9348 | 4.4444 | 1400 | 3.0583 | 410.6893 |
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  ### Framework versions
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