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  1. README.md +81 -0
  2. generation_config.json +9 -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: speecht5_finetuned_English_Technical_Shabdobhedii
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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_English_Technical_Shabdobhedii
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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: 0.4435
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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: 2000
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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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+ | 0.5915 | 0.3581 | 100 | 0.5128 |
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+ | 0.5448 | 0.7162 | 200 | 0.4945 |
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+ | 0.5195 | 1.0743 | 300 | 0.4740 |
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+ | 0.5109 | 1.4324 | 400 | 0.4754 |
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+ | 0.5023 | 1.7905 | 500 | 0.4648 |
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+ | 0.4995 | 2.1486 | 600 | 0.4661 |
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+ | 0.4987 | 2.5067 | 700 | 0.4591 |
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+ | 0.4931 | 2.8648 | 800 | 0.4574 |
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+ | 0.4776 | 3.2229 | 900 | 0.4572 |
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+ | 0.4798 | 3.5810 | 1000 | 0.4516 |
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+ | 0.4786 | 3.9391 | 1100 | 0.4479 |
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+ | 0.4668 | 4.2972 | 1200 | 0.4504 |
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+ | 0.4714 | 4.6553 | 1300 | 0.4468 |
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+ | 0.4717 | 5.0134 | 1400 | 0.4463 |
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+ | 0.4662 | 5.3715 | 1500 | 0.4498 |
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+ | 0.4637 | 5.7296 | 1600 | 0.4461 |
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+ | 0.455 | 6.0877 | 1700 | 0.4474 |
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+ | 0.4551 | 6.4458 | 1800 | 0.4451 |
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+ | 0.462 | 6.8039 | 1900 | 0.4420 |
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+ | 0.4511 | 7.1620 | 2000 | 0.4435 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "eos_token_id": 2,
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+ "max_length": 1876,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.44.2"
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+ }
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