zlm_b32_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: 0.4097
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: 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 |
|---|---|---|---|
| 0.7211 | 0.2094 | 500 | 0.6148 |
| 0.6059 | 0.4188 | 1000 | 0.5140 |
| 0.5347 | 0.6283 | 1500 | 0.4725 |
| 0.4888 | 0.8377 | 2000 | 0.4612 |
| 0.4923 | 1.0471 | 2500 | 0.4336 |
| 0.4686 | 1.2565 | 3000 | 0.4159 |
| 0.4608 | 1.4660 | 3500 | 0.4127 |
| 0.4567 | 1.6754 | 4000 | 0.4097 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for mikhail-panzo/zlm_b32_le5_s4000
Base model
microsoft/speecht5_tts