speecht5_finetuned_mozilla_id_11k
This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4813
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5681 | 2.9674 | 1000 | 0.5239 |
0.5329 | 5.9347 | 2000 | 0.4958 |
0.5173 | 8.9021 | 3000 | 0.4898 |
0.5089 | 11.8694 | 4000 | 0.4857 |
0.5023 | 14.8368 | 5000 | 0.4809 |
0.4998 | 17.8042 | 6000 | 0.4788 |
0.4983 | 20.7715 | 7000 | 0.4799 |
0.4992 | 23.7389 | 8000 | 0.4813 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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