update model card README.md

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_metalsongs
+  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_finetuned_metalsongs
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4426
+
+## 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
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5213        | 34.78  | 100  | 0.5506          |
+| 0.436         | 69.57  | 200  | 0.4810          |
+| 0.4004        | 104.35 | 300  | 0.4776          |
+| 0.3816        | 139.13 | 400  | 0.4639          |
+| 0.3644        | 173.91 | 500  | 0.4536          |
+| 0.3583        | 208.7  | 600  | 0.4539          |
+| 0.3515        | 243.48 | 700  | 0.4476          |
+| 0.3534        | 278.26 | 800  | 0.4489          |
+| 0.3471        | 313.04 | 900  | 0.4466          |
+| 0.3463        | 347.83 | 1000 | 0.4426          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3