english_speecht5_finetuned_newer
This model is a fine-tuned version of Omarrran/english_speecht5_finetuned_new on the lj_speech dataset. It achieves the following results on the evaluation set:
- Loss: 0.3769
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 100
- training_steps: 600
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4336 | 0.2714 | 100 | 0.3967 |
0.4282 | 0.5427 | 200 | 0.3914 |
0.4165 | 0.8141 | 300 | 0.3853 |
0.4098 | 1.0855 | 400 | 0.3815 |
0.4076 | 1.3569 | 500 | 0.3772 |
0.4103 | 1.6282 | 600 | 0.3769 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for Omarrran/english_speecht5_finetuned_newer
Base model
Omarrran/english_speecht5_finetuned
Finetuned
Omarrran/english_speecht5_finetuned_new