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speecht5_tts_mabama_es
gitgato/speecht5_tts_mabama_es
speecht5_tts_mabama_es is a text-to-speech model from gitgato. Use it when you need text read aloud. It is set up for fairseq. The card lists the license as creativeml-openrail-m.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Speech
- Library
- fairseq
- License
- creativeml-openrail-m
- Model type
- speecht5
- Access
- Public
- Created
- Feb 25, 2024
- Updated
- Jun 24, 2024
- SHA
- 36ca130e
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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 mabama
This model is a fine-tuned version of microsoft/speecht5_tts on the google-chilean-spanish dataset. It achieves the following results on the evaluation set:
- Loss: 0.3995
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: 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: 1000
- training_steps: 1200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4516 | 25.53 | 1200 | 0.3995 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text-to-Speech
- Library
- fairseq
- Type
- speecht5
- License
- creativeml-openrail-m
- Languages
- es
- Created
- Feb 25, 2024
- Updated
- Jun 24, 2024