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speecht5_finetuned_multilingual_librispeech_pl
Sagicc/speecht5_finetuned_multilingual_librispeech_pl
speecht5_finetuned_multilingual_librispeech_pl is a text-to-speech model from Sagicc. Use it when you need text read aloud. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Speech
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Aug 15, 2023
- Updated
- Sep 11, 2023
- SHA
- f8447352
Base models
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_finetuned_multilingual_librispeech_pl
This model is a fine-tuned version of microsoft/speecht5_tts on the multilingual_librispeech/polish dataset. It achieves the following results on the evaluation set:
- Loss: 0.4168
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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4564 | 40.82 | 1000 | 0.4182 |
| 0.4277 | 81.63 | 2000 | 0.4124 |
| 0.4233 | 122.45 | 3000 | 0.4173 |
| 0.4222 | 163.27 | 4000 | 0.4168 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Aug 15, 2023
- Updated
- Sep 11, 2023