urdu_speech_tt
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4588
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: 128
- eval_batch_size: 128
- 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: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4931 | 1.47 | 100 | 0.4591 |
| 0.5051 | 2.94 | 200 | 0.4595 |
| 0.4978 | 4.41 | 300 | 0.4605 |
| 0.5171 | 5.88 | 400 | 0.4607 |
| 0.5058 | 7.35 | 500 | 0.4610 |
| 0.5095 | 8.82 | 600 | 0.4607 |
| 0.5037 | 10.29 | 700 | 0.4643 |
| 0.4984 | 11.76 | 800 | 0.4592 |
| 0.4985 | 13.24 | 900 | 0.4599 |
| 0.4939 | 14.71 | 1000 | 0.4588 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3