End of training
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README.md
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 8
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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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- lr_scheduler_warmup_steps: 50
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.5117 | 1.45 | 100 | 0.4437 |
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| 0.4473 | 2.9 | 200 | 0.3899 |
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| 0.4423 | 4.35 | 300 | 0.3847 |
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| 0.4281 | 5.8 | 400 | 0.3809 |
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### Framework versions
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- Transformers 4.35.0
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.3791
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- eval_runtime: 31.2521
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- eval_samples_per_second: 17.631
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- eval_steps_per_second: 2.208
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- epoch: 43.48
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- step: 3000
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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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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- lr_scheduler_warmup_steps: 50
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.0
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model.safetensors
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preprocessor_config.json
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{
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"do_normalize": false,
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"feature_extractor_type": "SpeechT5FeatureExtractor",
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"feature_size":
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"fmax": 7600,
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"fmin": 80,
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"frame_signal_scale": 1.0,
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{
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"do_normalize": false,
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"feature_extractor_type": "SpeechT5FeatureExtractor",
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"feature_size": 80,
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"fmax": 7600,
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"fmin": 80,
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"frame_signal_scale": 1.0,
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runs/Nov09_06-15-44_e3dbefe48817/events.out.tfevents.1699510546.e3dbefe48817.181.2
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