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End of training

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README.md CHANGED
@@ -13,9 +13,21 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - ntnu-smil/sandi2025-ds
 
 
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  model-index:
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  - name: whisper-large-v3-sandi-train-dev-1-pure-transcript
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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
@@ -25,17 +37,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the ntnu-smil/sandi2025-ds dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 1.0261
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- - eval_wer: 65.3995
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- - eval_cer: 213.4907
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- - eval_decode_runtime: 248.5027
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- - eval_wer_runtime: 0.1970
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- - eval_cer_runtime: 0.4672
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- - eval_runtime: 494.8987
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- - eval_samples_per_second: 6.565
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- - eval_steps_per_second: 0.206
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- - epoch: 4.1429
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- - step: 28
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  ## Model description
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  - lr_scheduler_type: linear
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  - training_steps: 28
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  ### Framework versions
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  - PEFT 0.15.2
 
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  - generated_from_trainer
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  datasets:
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  - ntnu-smil/sandi2025-ds
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+ metrics:
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+ - wer
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  model-index:
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  - name: whisper-large-v3-sandi-train-dev-1-pure-transcript
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+ results:
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+ - task:
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+ type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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+ dataset:
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+ name: ntnu-smil/sandi2025-ds
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+ type: ntnu-smil/sandi2025-ds
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+ metrics:
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+ - type: wer
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+ value: 65.39948134905774
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+ name: Wer
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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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  This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the ntnu-smil/sandi2025-ds dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0261
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+ - Wer: 65.3995
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+ - Cer: 213.4907
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+ - Decode Runtime: 248.5027
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+ - Wer Runtime: 0.1970
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+ - Cer Runtime: 0.4672
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - training_steps: 28
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Decode Runtime | Wer Runtime | Cer Runtime |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:--------:|:--------------:|:-----------:|:-----------:|
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+ | 1.9028 | 1.0357 | 7 | 1.3667 | 66.9265 | 208.4993 | 242.8888 | 0.2264 | 0.5201 |
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+ | 1.2484 | 2.0714 | 14 | 1.1791 | 77.8309 | 225.9183 | 246.8109 | 0.1974 | 0.4752 |
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+ | 1.0689 | 3.1071 | 21 | 1.0594 | 69.5579 | 217.8173 | 249.6101 | 0.1961 | 0.4627 |
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+ | 1.0336 | 4.1429 | 28 | 1.0261 | 65.3995 | 213.4907 | 248.5027 | 0.1970 | 0.4672 |
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+
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+
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  ### Framework versions
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  - PEFT 0.15.2
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