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speecht5_finetuned_voxpopuli_de_3
Petoppel/speecht5_finetuned_voxpopuli_de_3
speecht5_finetuned_voxpopuli_de_3 is a machine learning model from Petoppel. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- speecht5
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024
- SHA
- d0c4c31d
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_voxpopuli_de_3
This model was trained from scratch on the voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4541
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: 10
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.489 | 7.6628 | 500 | 0.4553 |
| 0.4842 | 15.3257 | 1000 | 0.4533 |
| 0.4812 | 22.9885 | 1500 | 0.4528 |
| 0.4811 | 30.6513 | 2000 | 0.4529 |
| 0.4783 | 38.3142 | 2500 | 0.4530 |
| 0.475 | 45.9770 | 3000 | 0.4534 |
| 0.4745 | 53.6398 | 3500 | 0.4522 |
| 0.4761 | 61.3027 | 4000 | 0.4525 |
| 0.4751 | 68.9655 | 4500 | 0.4533 |
| 0.4692 | 76.6284 | 5000 | 0.4542 |
| 0.4669 | 84.2912 | 5500 | 0.4536 |
| 0.468 | 91.9540 | 6000 | 0.4538 |
| 0.4676 | 99.6169 | 6500 | 0.4531 |
| 0.4687 | 107.2797 | 7000 | 0.4534 |
| 0.4687 | 114.9425 | 7500 | 0.4534 |
| 0.465 | 122.6054 | 8000 | 0.4541 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- speecht5
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024