speecht5_finetuned_en64_lr301
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4580
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: 32
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4634 | 55.1724 | 100 | 0.3961 |
| 0.3883 | 110.3448 | 200 | 0.3942 |
| 0.3614 | 165.5172 | 300 | 0.4229 |
| 0.3456 | 220.6897 | 400 | 0.4271 |
| 0.3355 | 275.8621 | 500 | 0.4273 |
| 0.3257 | 331.0345 | 600 | 0.4478 |
| 0.3194 | 386.2069 | 700 | 0.4437 |
| 0.3116 | 441.3793 | 800 | 0.4586 |
| 0.3053 | 496.5517 | 900 | 0.4518 |
| 0.2994 | 551.7241 | 1000 | 0.4535 |
| 0.2969 | 606.8966 | 1100 | 0.4594 |
| 0.2946 | 662.0690 | 1200 | 0.4521 |
| 0.2904 | 717.2414 | 1300 | 0.4569 |
| 0.2889 | 772.4138 | 1400 | 0.4573 |
| 0.2911 | 827.5862 | 1500 | 0.4580 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Olivia111/speecht5_finetuned_en64_lr301
Base model
microsoft/speecht5_tts