ceb_b32_le4_s8000
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: 0.3991
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: 8000
- 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 |
0.4032 | 49.5050 | 2500 | 0.3995 |
0.3877 | 59.4059 | 3000 | 0.4005 |
0.3794 | 69.3069 | 3500 | 0.3979 |
0.3755 | 79.2079 | 4000 | 0.4074 |
0.3694 | 89.1089 | 4500 | 0.3979 |
0.3559 | 99.0099 | 5000 | 0.4004 |
0.3633 | 108.9109 | 5500 | 0.4046 |
0.3557 | 118.8119 | 6000 | 0.3987 |
0.3548 | 128.7129 | 6500 | 0.3986 |
0.3465 | 138.6139 | 7000 | 0.3982 |
0.3403 | 148.5149 | 7500 | 0.4006 |
0.34 | 158.4158 | 8000 | 0.3991 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 1
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.