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SamagraDataGov
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whisper-tiny-hi2_test

Automatic Speech Recognition
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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Jun20_06-40-00_bharatsahaiyak-test/events.out.tfevents.1718865601.bharatsahaiyak-test.505065.1 +2 -2
  4. whisper-tiny-hi-checkpoint-1/model.safetensors +1 -1
  5. whisper-tiny-hi-checkpoint-1/training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5291
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- - Wer: 65.3061
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  ## Model description
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@@ -51,11 +51,11 @@ 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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- | 1.1886 | 1.25 | 40 | 0.9953 | 87.3910 |
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- | 0.6663 | 2.5 | 80 | 0.6781 | 73.2153 |
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- | 0.5053 | 3.75 | 120 | 0.5857 | 66.1783 |
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- | 0.406 | 5.0 | 160 | 0.5440 | 66.1106 |
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- | 0.3236 | 6.25 | 200 | 0.5291 | 65.3061 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5291
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+ - Wer: 63.6040
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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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+ | 1.1887 | 1.25 | 40 | 0.9954 | 87.2978 |
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+ | 0.6663 | 2.5 | 80 | 0.6781 | 73.2916 |
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+ | 0.5053 | 3.75 | 120 | 0.5858 | 66.2291 |
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+ | 0.406 | 5.0 | 160 | 0.5440 | 66.1360 |
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+ | 0.3236 | 6.25 | 200 | 0.5291 | 63.6040 |
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  ### Framework versions
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