zlm_b128_le5_s4000
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: 0.3979
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 4010
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.6764 | 0.8375 | 500 | 0.5792 |
0.5579 | 1.6750 | 1000 | 0.4839 |
0.5004 | 2.5126 | 1500 | 0.4486 |
0.4789 | 3.3501 | 2000 | 0.4311 |
0.4555 | 4.1876 | 2500 | 0.4116 |
0.4521 | 5.0251 | 3000 | 0.4070 |
0.4372 | 5.8626 | 3500 | 0.3982 |
0.4451 | 6.7002 | 4000 | 0.3979 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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