update model card README.md

README.md

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+---
+language:
+- vi
+tags:
+- ''
+- generated_from_trainer
+datasets:
+- vivos
+model-index:
+- name: SpeechT5 TTS Vietnamese
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# SpeechT5 TTS Vietnamese
+
+This model is a fine-tuned version of [vivos](https://huggingface.co/vivos) on the vivos dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4314
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4969        | 2.81  | 1000 | 0.4549          |
+| 0.4933        | 5.63  | 2000 | 0.4433          |
+| 0.4713        | 8.44  | 3000 | 0.4316          |
+| 0.4733        | 11.25 | 4000 | 0.4314          |
+
+
+### Framework versions
+
+- Transformers 4.29.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.11.0
+- Tokenizers 0.13.3