ceb_b32_le4_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: 0.3930
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: 4000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4697 | 9.9010 | 500 | 0.4222 |
0.4359 | 19.8020 | 1000 | 0.4061 |
0.4245 | 29.7030 | 1500 | 0.4072 |
0.406 | 39.6040 | 2000 | 0.4009 |
0.4012 | 49.5050 | 2500 | 0.4039 |
0.3832 | 59.4059 | 3000 | 0.3957 |
0.3739 | 69.3069 | 3500 | 0.3941 |
0.3702 | 79.2079 | 4000 | 0.3930 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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