update model card README.md

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- facebook/multilingual_librispeech
+model-index:
+- name: speecht5_tts-finetuned-multilingual_librispeech
+  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-finetuned-multilingual_librispeech
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the multilingual_librispeech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4342
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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: 200
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5378        | 7.75  | 250  | 0.4721          |
+| 0.4872        | 15.5  | 500  | 0.4424          |
+| 0.4766        | 23.26 | 750  | 0.4363          |
+| 0.4784        | 31.01 | 1000 | 0.4342          |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 1.13.1
+- Datasets 2.14.3
+- Tokenizers 0.13.2