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ft-speech-t5-on-voxpopuli-hr
mmuz1/ft-speech-t5-on-voxpopuli-hr
ft-speech-t5-on-voxpopuli-hr is a machine learning model from mmuz1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Nov 22, 2024
- Updated
- Nov 22, 2024
- SHA
- 8a519fac
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. -->
ft-speech-t5-on-voxpopuli-hr
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.5562
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: 50
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6808 | 1.63 | 50 | 0.5888 |
| 0.6189 | 3.25 | 100 | 0.5564 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.15.2
- Type
- speecht5
- License
- mit
- Created
- Nov 22, 2024
- Updated
- Nov 22, 2024