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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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+ - as
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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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+ - madhabpaul/assamese_tts_dataset
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+ model-index:
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+ - name: SpeechT5 TTS Assamese
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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 TTS Assamese
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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 Assamese TTS Dataset dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4490
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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: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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: 200
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+ - training_steps: 1000
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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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+ | 0.5553 | 16.0 | 200 | 0.4852 |
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+ | 0.5026 | 32.0 | 400 | 0.4547 |
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+ | 0.4595 | 48.0 | 600 | 0.4444 |
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+ | 0.464 | 64.0 | 800 | 0.4472 |
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+ | 0.4612 | 80.0 | 1000 | 0.4490 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0.dev0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ {
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+ "_from_model_config": true,
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+ "transformers_version": "4.42.0.dev0"
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+ }
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