update model card README.md

README.md

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+---
+language:
+- it
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- facebook/voxpopuli
+model-index:
+- name: SpeechT5-it
+  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-it
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the VOXPOPULI dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4900
+
+## 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: 8
+- 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: 100
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5788        | 1.0   | 356  | 0.5208          |
+| 0.5538        | 2.0   | 712  | 0.5011          |
+| 0.5453        | 3.0   | 1068 | 0.4948          |
+| 0.5382        | 4.0   | 1424 | 0.4940          |
+| 0.5315        | 5.0   | 1780 | 0.4900          |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3