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End of training

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  1. README.md +76 -0
  2. generation_config.json +4 -0
  3. model.safetensors +1 -1
README.md ADDED
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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: ESP_Model
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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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+ # ESP_Model
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4896
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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: 0.0001
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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: 100
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+ - training_steps: 1500
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+ - mixed_precision_training: Native AMP
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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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+ | 0.5777 | 11.1111 | 100 | 0.5336 |
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+ | 0.5385 | 22.2222 | 200 | 0.5073 |
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+ | 0.5054 | 33.3333 | 300 | 0.5005 |
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+ | 0.4953 | 44.4444 | 400 | 0.4983 |
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+ | 0.4714 | 55.5556 | 500 | 0.4939 |
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+ | 0.4662 | 66.6667 | 600 | 0.4946 |
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+ | 0.4563 | 77.7778 | 700 | 0.4981 |
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+ | 0.4451 | 88.8889 | 800 | 0.4921 |
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+ | 0.4412 | 100.0 | 900 | 0.4946 |
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+ | 0.4384 | 111.1111 | 1000 | 0.4868 |
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+ | 0.4308 | 122.2222 | 1100 | 0.4946 |
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+ | 0.4226 | 133.3333 | 1200 | 0.4924 |
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+ | 0.4186 | 144.4444 | 1300 | 0.4936 |
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+ | 0.4205 | 155.5556 | 1400 | 0.4891 |
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+ | 0.418 | 166.6667 | 1500 | 0.4896 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0.dev0
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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+ {
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+ "max_length": 1876,
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+ "transformers_version": "4.46.0.dev0"
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+ }
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