End of training

README.md

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+---
+language:
+- sl
+base_model: SpeechT5ForTextToSpeech
+tags:
+- generated_from_trainer
+datasets:
+- facebook/voxpopuli
+model-index:
+- name: TTS Model Slovene - Yang
+  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. -->
+
+# TTS Model Slovene - Yang
+
+This model is a fine-tuned version of [SpeechT5ForTextToSpeech](https://huggingface.co/SpeechT5ForTextToSpeech) on the VoxPopuli Slovene dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5173
+
+## 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: 500
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.463         | 63.49  | 1000 | 0.5187          |
+| 0.4513        | 126.98 | 2000 | 0.5173          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1