speecht5_finetuned_Aumkesh_tr
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: 0.5056
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 |
|---|---|---|---|
| 0.5789 | 3.2258 | 100 | 0.5092 |
| 0.5046 | 6.4516 | 200 | 0.4970 |
| 0.4729 | 9.6774 | 300 | 0.4971 |
| 0.4598 | 12.9032 | 400 | 0.4942 |
| 0.4442 | 16.1290 | 500 | 0.5118 |
| 0.4421 | 19.3548 | 600 | 0.5056 |
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 Aumkeshchy2003/speecht5_finetuned_Aumkesh_tr
Base model
microsoft/speecht5_tts