update model card README.md

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+model-index:
+- name: 01-08-2023_19-25-49
+  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. -->
+
+# 01-08-2023_19-25-49
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5452
+
+## 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: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 6000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5581        | 1.0   | 884  | 0.6011          |
+| 0.5129        | 2.0   | 1768 | 0.5674          |
+| 0.5038        | 3.0   | 2652 | 0.5604          |
+| 0.5068        | 4.0   | 3536 | 0.5502          |
+| 0.4936        | 5.0   | 4420 | 0.5465          |
+| 0.4871        | 6.0   | 5304 | 0.5426          |
+| 0.4855        | 6.79  | 6000 | 0.5452          |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 1.10.1+cu113
+- Datasets 2.13.1
+- Tokenizers 0.13.3