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ceb_b64_le5_s12000
mikhail-panzo/ceb_b64_le5_s12000
ceb_b64_le5_s12000 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
- May 3, 2024
- Updated
- May 4, 2024
- SHA
- 7eb6697d
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. -->
ceb_b64_le5_s12000
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: 0.3942
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 12000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5368 | 19.8020 | 500 | 0.4637 |
| 0.4674 | 39.6040 | 1000 | 0.4246 |
| 0.448 | 59.4059 | 1500 | 0.4101 |
| 0.4358 | 79.2079 | 2000 | 0.4011 |
| 0.4273 | 99.0099 | 2500 | 0.3966 |
| 0.4161 | 118.8119 | 3000 | 0.3953 |
| 0.4119 | 138.6139 | 3500 | 0.3939 |
| 0.4008 | 158.4158 | 4000 | 0.3932 |
| 0.4029 | 178.2178 | 4500 | 0.3932 |
| 0.4008 | 198.0198 | 5000 | 0.3947 |
| 0.3989 | 217.8218 | 5500 | 0.3933 |
| 0.3934 | 237.6238 | 6000 | 0.3943 |
| 0.3927 | 257.4257 | 6500 | 0.3937 |
| 0.3875 | 277.2277 | 7000 | 0.3918 |
| 0.3914 | 297.0297 | 7500 | 0.3931 |
| 0.3911 | 316.8317 | 8000 | 0.3937 |
| 0.3821 | 336.6337 | 8500 | 0.3925 |
| 0.3932 | 356.4356 | 9000 | 0.3938 |
| 0.3861 | 376.2376 | 9500 | 0.3940 |
| 0.3829 | 396.0396 | 10000 | 0.3934 |
| 0.3819 | 415.8416 | 10500 | 0.3935 |
| 0.383 | 435.6436 | 11000 | 0.3939 |
| 0.3828 | 455.4455 | 11500 | 0.3937 |
| 0.3818 | 475.2475 | 12000 | 0.3942 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- May 3, 2024
- Updated
- May 4, 2024