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Uzbek
whisper
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Simonom/uzbek-stt-v2-3k-data

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Files changed (5) hide show
  1. README.md +7 -7
  2. adapter_model.safetensors +1 -1
  3. runs/Jun08_07-00-09_5eddd45baae0/events.out.tfevents.1717830010.5eddd45baae0.697.0 +3 -0
  4. runs/Jun08_07-02-53_5eddd45baae0/events.out.tfevents.1717830174.5eddd45baae0.697.1 +3 -0
  5. 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-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_14_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8801
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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- - train_batch_size: 2
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- - eval_batch_size: 2
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 1.1475 | 1.0 | 604 | 1.0288 |
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- | 0.6366 | 2.0 | 1208 | 0.8801 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_14_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3179
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.5139 | 1.0 | 15112 | 0.4203 |
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+ | 0.268 | 2.0 | 30224 | 0.3179 |
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  ### Framework versions
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