End of training

README.md

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+---
+base_model: Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_1
+model-index:
+- name: speecht5-tts-finetuned-es-voxpopuli-commonvoice16
+  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-tts-finetuned-es-voxpopuli-commonvoice16
+
+This model is a fine-tuned version of [Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16](https://huggingface.co/Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16) on the mozilla-foundation/common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4681
+
+## 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: 8
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.5187        | 0.1953 | 1000  | 0.4877          |
+| 0.5038        | 0.3906 | 2000  | 0.4823          |
+| 0.5063        | 0.5859 | 3000  | 0.4788          |
+| 0.5018        | 0.7812 | 4000  | 0.4744          |
+| 0.4958        | 0.9764 | 5000  | 0.4728          |
+| 0.4981        | 1.1717 | 6000  | 0.4713          |
+| 0.4944        | 1.3670 | 7000  | 0.4703          |
+| 0.4949        | 1.5623 | 8000  | 0.4683          |
+| 0.4902        | 1.7576 | 9000  | 0.4687          |
+| 0.4924        | 1.9529 | 10000 | 0.4681          |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 1876,
+  "pad_token_id": 1,
+  "transformers_version": "4.41.0.dev0",
+  "use_cache": false
+}