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End of training

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  1. README.md +11 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,28 +1,30 @@
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  ---
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  library_name: transformers
 
 
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  license: mit
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  base_model: microsoft/speecht5_tts
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: speecht5_tts_sinan
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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
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  should probably proofread and complete it, then remove this comment. -->
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- # speecht5_tts_sinan
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.5747
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- - eval_model_preparation_time: 0.0057
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- - eval_runtime: 214.9557
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- - eval_samples_per_second: 38.454
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- - eval_steps_per_second: 4.81
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- - epoch: 7.5087
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- - step: 3882
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  ## Model description
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  ---
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  library_name: transformers
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+ language:
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+ - en
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  license: mit
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  base_model: microsoft/speecht5_tts
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: SpeechT5 TTS Sinan
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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
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  should probably proofread and complete it, then remove this comment. -->
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+ # SpeechT5 TTS Sinan
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.6174
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+ - eval_model_preparation_time: 0.005
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+ - eval_runtime: 157.859
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+ - eval_samples_per_second: 44.476
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+ - eval_steps_per_second: 5.562
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+ - epoch: 3.0023
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+ - step: 1318
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  ## Model description
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