SyedNaqi_TechSpeechT5_TTS
This model is a fine-tuned version of microsoft/speecht5_tts on the TTS_English_Technical_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.4548
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: 5e-05
- train_batch_size: 12
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5565 | 1.3423 | 500 | 0.4948 |
0.5157 | 2.6846 | 1000 | 0.4702 |
0.4906 | 4.0268 | 1500 | 0.4601 |
0.4767 | 5.3691 | 2000 | 0.4567 |
0.4718 | 6.7114 | 2500 | 0.4531 |
0.4609 | 8.0537 | 3000 | 0.4533 |
0.4545 | 9.3960 | 3500 | 0.4543 |
0.4474 | 10.7383 | 4000 | 0.4544 |
0.4505 | 12.0805 | 4500 | 0.4546 |
0.4376 | 13.4228 | 5000 | 0.4548 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1
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Model tree for naqi72/speecht5_finetuned_tech_words_syed_naqi
Base model
microsoft/speecht5_tts