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speecht5_finetuned_cmn_hans_cn
zongxiao/speecht5_finetuned_cmn_hans_cn
speecht5_finetuned_cmn_hans_cn is a text-to-speech model from zongxiao. 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
- Oct 6, 2023
- Updated
- Oct 6, 2023
- SHA
- 9110c55d
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 Chinese
This model is a fine-tuned version of GCYY/speecht5_finetuned_fleurs_zh on the fleurs dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3956
- eval_runtime: 36.5499
- eval_samples_per_second: 12.586
- eval_steps_per_second: 1.587
- epoch: 15.44
- step: 2000
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text-to-Speech
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- zh
- Created
- Oct 6, 2023
- Updated
- Oct 6, 2023