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End of training

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  1. README.md +71 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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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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+ datasets:
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+ - facebook/voxpopuli
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+ model-index:
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+ - name: speecht5_finetuned_voxpopuli_nl
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+ results: []
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+ ---
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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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+
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+ # speecht5_finetuned_voxpopuli_nl
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+
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+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4919
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 4
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 32
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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: 500
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+ - training_steps: 1000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.7222 | 1.62 | 100 | 0.6410 |
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+ | 0.6791 | 3.25 | 200 | 0.6024 |
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+ | 0.6059 | 4.87 | 300 | 0.5363 |
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+ | 0.564 | 6.49 | 400 | 0.5185 |
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+ | 0.5481 | 8.11 | 500 | 0.5092 |
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+ | 0.5463 | 9.74 | 600 | 0.4998 |
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+ | 0.537 | 11.36 | 700 | 0.4968 |
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+ | 0.5312 | 12.98 | 800 | 0.4913 |
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+ | 0.5275 | 14.6 | 900 | 0.4917 |
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+ | 0.5202 | 16.23 | 1000 | 0.4919 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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