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--- |
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license: cc-by-nc-sa-4.0 |
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datasets: |
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- mozilla-foundation/common_voice_17_0 |
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- bond005/sberdevices_golos_10h_crowd |
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- bond005/sova_rudevices |
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- Aniemore/resd_annotated |
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language: |
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- ru |
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base_model: |
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- SWivid/F5-TTS |
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--- |
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## Overview |
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The F5-TTS model is finetuned specifically for Russian language |
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## License |
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This model is released under the Creative Commons Attribution Non Commercial Share Alike 4.0 license, which allows for free usage, modification, and distribution |
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## Model Information |
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**Base Model**: SWivid/F5-TTS |
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**Total Training Duration:** 250.000 steps |
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**Training Configuration:** |
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```json |
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"exp_name": "F5TTS_Base", |
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"learning_rate": 1e-05, |
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"batch_size_per_gpu": 4500, |
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"batch_size_type": "frame", |
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"max_samples": 64, |
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"grad_accumulation_steps": 1, |
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"max_grad_norm": 1, |
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"epochs": 144, |
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"num_warmup_updates": 5838, |
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"save_per_updates": 11676, |
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"last_per_steps": 2918, |
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"finetune": true, |
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"file_checkpoint_train": "", |
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"tokenizer_type": "char", |
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"tokenizer_file": "", |
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"mixed_precision": "fp16", |
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"logger": "wandb", |
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"bnb_optimizer": true |
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``` |
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## Usage Instructions |
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Go to [base repo](https://github.com/SWivid/F5-TTS) |
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## To do |
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- Correct stressmarks |
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- English support |
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# Other links |
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- [Github repo](https://github.com/HotDro4illa/F5-TTS) |
