update model card README.md

README.md

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+---
+language:
+- en
+license: mit
+tags:
+- text-to-speech
+- generated_from_trainer
+datasets:
+- gigaspeech
+model-index:
+- name: speecht5_tts_commonvoice_en_04_test
+  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_commonvoice_en_04_test
+
+This model is a fine-tuned version of [Avitas8485/speecht5_tts_commonvoice_en_03](https://huggingface.co/Avitas8485/speecht5_tts_commonvoice_en_03) on the gigaspeech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4270
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4662        | 1.95  | 1000 | 0.4328          |
+| 0.465         | 3.9   | 2000 | 0.4270          |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.0
+- Tokenizers 0.13.3