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speecht5_finetuned_commonvoice_polish_1000_10k
Dawid511/speecht5_finetuned_commonvoice_polish_1000_10k
speecht5_finetuned_commonvoice_polish_1000_10k is a text-to-audio model from Dawid511. 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
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- e6a42d7e
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_finetuned_commonvoice_polish_1000_10k
This model is a fine-tuned version of Dawid511/speecht5_finetuned_commonvoice_polish_500_10k on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4561
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5301 | 0.3431 | 100 | 0.4937 |
| 0.5276 | 0.6861 | 200 | 0.4910 |
| 0.5209 | 1.0292 | 300 | 0.4826 |
| 0.5084 | 1.3722 | 400 | 0.4772 |
| 0.5086 | 1.7153 | 500 | 0.4763 |
| 0.5056 | 2.0583 | 600 | 0.4681 |
| 0.4981 | 2.4014 | 700 | 0.4655 |
| 0.4924 | 2.7444 | 800 | 0.4611 |
| 0.4861 | 3.0875 | 900 | 0.4618 |
| 0.4833 | 3.4305 | 1000 | 0.4561 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024