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whisper-large-v3-nepali-9010-qkv-peft-dora-speakerSpeakerCV4-rank32-targetxkv-epochs3

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Nepali
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End of training

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  1. README.md +3 -3
  2. adapter_model.safetensors +1 -1
  3. runs/Feb09_15-19-15_idc-training-gpu-compute-07/events.out.tfevents.1739114355.idc-training-gpu-compute-07.124795.33 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [kiranpantha/whisper-large-v3-nepali](https://huggingface.co/kiranpantha/whisper-large-v3-nepali) on the OpenSLR54 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5803
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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  | No log | 1.0 | 11 | 0.3425 |
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- | No log | 2.0 | 22 | 0.2984 |
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- | 0.4091 | 3.0 | 33 | 0.5803 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [kiranpantha/whisper-large-v3-nepali](https://huggingface.co/kiranpantha/whisper-large-v3-nepali) on the OpenSLR54 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5987
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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  | No log | 1.0 | 11 | 0.3425 |
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+ | No log | 2.0 | 22 | 0.2981 |
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+ | 0.4136 | 3.0 | 33 | 0.5987 |
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  ### Framework versions
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