Create README.md

README.md

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+---
+language:
+- en
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- scottish
+- tts
+- glaswegian
+- generated_from_trainer
+datasets:
+- divakaivan/glaswegian_audio
+model-index:
+- name: GlaswegianTTS v0.1.0
+  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. -->
+
+# GlaswegianTTS v0.1.0
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the glaswegian_tts_v0.1.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7169
+
+## Training and evaluation data
+
+[Glaswegian audio clips](https://huggingface.co/datasets/divakaivan/glaswegian_audio) 80% train/test split
+
+## 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
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1