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fil_checkpoint
mikhail-panzo/fil_checkpoint
fil_checkpoint is a text-to-audio model from mikhail-panzo. 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
- Apr 11, 2024
- Updated
- Apr 12, 2024
- SHA
- 3dbe8a29
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. -->
fil_checkpoint
This model is a fine-tuned version of mikhail-panzo/malay_full_checkpoint on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4735
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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 2000
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7579 | 6.76 | 500 | 0.7164 |
| 0.6196 | 13.51 | 1000 | 0.5662 |
| 0.5622 | 20.27 | 1500 | 0.5077 |
| 0.5341 | 27.03 | 2000 | 0.4858 |
| 0.52 | 33.78 | 2500 | 0.4772 |
| 0.5233 | 40.54 | 3000 | 0.4735 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Apr 11, 2024
- Updated
- Apr 12, 2024