speecht5_finetuned_eng_ashish
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: 0.7111
Model description
More information needed
Intended uses & limitations
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.0602 | 1 | 0.7250 |
5.9911 | 0.1203 | 2 | 1.1100 |
5.9911 | 0.1805 | 3 | 0.8121 |
6.7456 | 0.2406 | 4 | 0.7525 |
6.7456 | 0.3008 | 5 | 0.7550 |
6.1898 | 0.3609 | 6 | 0.7549 |
6.1898 | 0.4211 | 7 | 0.7394 |
5.7588 | 0.4812 | 8 | 0.7304 |
5.7588 | 0.5414 | 9 | 0.7182 |
5.2002 | 0.6015 | 10 | 0.7111 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
microsoft/speecht5_tts