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ceb_b32_le4_s12000
mikhail-panzo/ceb_b32_le4_s12000
ceb_b32_le4_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 4, 2024
- Updated
- May 4, 2024
- SHA
- b297a95d
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_b32_le4_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: 0.4051
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: 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: 12000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4691 | 9.9010 | 500 | 0.4229 |
| 0.4352 | 19.8020 | 1000 | 0.4041 |
| 0.424 | 29.7030 | 1500 | 0.4032 |
| 0.4091 | 39.6040 | 2000 | 0.4037 |
| 0.4117 | 49.5050 | 2500 | 0.4078 |
| 0.3884 | 59.4059 | 3000 | 0.4005 |
| 0.3826 | 69.3069 | 3500 | 0.4024 |
| 0.3766 | 79.2079 | 4000 | 0.4015 |
| 0.3712 | 89.1089 | 4500 | 0.4025 |
| 0.3571 | 99.0099 | 5000 | 0.4016 |
| 0.3671 | 108.9109 | 5500 | 0.4021 |
| 0.361 | 118.8119 | 6000 | 0.4025 |
| 0.3581 | 128.7129 | 6500 | 0.3989 |
| 0.3476 | 138.6139 | 7000 | 0.4029 |
| 0.3391 | 148.5149 | 7500 | 0.4026 |
| 0.3372 | 158.4158 | 8000 | 0.4037 |
| 0.3345 | 168.3168 | 8500 | 0.4045 |
| 0.3329 | 178.2178 | 9000 | 0.4067 |
| 0.331 | 188.1188 | 9500 | 0.4042 |
| 0.3366 | 198.0198 | 10000 | 0.4051 |
| 0.3276 | 207.9208 | 10500 | 0.4035 |
| 0.3297 | 217.8218 | 11000 | 0.4037 |
| 0.3298 | 227.7228 | 11500 | 0.4031 |
| 0.3241 | 237.6238 | 12000 | 0.4051 |
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 4, 2024
- Updated
- May 4, 2024