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speecht5_finetuned_om_vishesh
omvishesh/speecht5_finetuned_om_vishesh
speecht5_finetuned_om_vishesh is a text-to-audio model from omvishesh. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. 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-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Oct 22, 2024
- Updated
- Oct 24, 2024
- SHA
- 7c5d20f8
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_om_vishesh
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4650
Model description
Base Model: The project is centered around the SpeechT5 model from Hugging Face, designed for text-to-speech (TTS) tasks. Dataset: Utilized the Common Voice dataset, specifically focusing on the Hindi subset, to provide a diverse range of speech samples for training and fine-tuning
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-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: 300
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6519 | 1.0999 | 150 | 0.5697 |
| 0.5707 | 2.1998 | 300 | 0.5258 |
| 0.5473 | 3.2997 | 450 | 0.5129 |
| 0.5335 | 4.3996 | 600 | 0.4908 |
| 0.5131 | 5.4995 | 750 | 0.4855 |
| 0.5055 | 6.5995 | 900 | 0.4766 |
| 0.5005 | 7.6994 | 1050 | 0.4711 |
| 0.4926 | 8.7993 | 1200 | 0.4650 |
| 0.4873 | 9.8992 | 1350 | 0.4677 |
| 0.4882 | 10.9991 | 1500 | 0.4650 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.20.0
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Oct 22, 2024
- Updated
- Oct 24, 2024