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End of training

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README.md ADDED
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+ ---
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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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+ - Trinidadian TTS
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+ - generated_from_trainer
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+ datasets:
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+ - MK_TandT
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+ model-index:
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+ - name: SpeechT5_Trini_male
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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_Trini_male
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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 TandT dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3698
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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: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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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: 4000
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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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+ | 0.4054 | 8.62 | 1000 | 0.3746 |
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+ | 0.3923 | 17.24 | 2000 | 0.3701 |
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+ | 0.3892 | 25.86 | 3000 | 0.3684 |
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+ | 0.3973 | 34.48 | 4000 | 0.3698 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3
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+ "SpeechT5ForTextToSpeech"
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+ "use_cache": false,
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+ "use_guided_attention_loss": true,
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+ "vocab_size": 81
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+ }
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