speecht5_finetuned_nono
This model is a fine-tuned version of nonoJDWAOIDAWKDA/speecht5_finetuned_nono on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3932
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: 4
- 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: 100
- training_steps: 1750
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5131 | 29.6296 | 100 | 0.5124 |
| 0.4586 | 59.2593 | 200 | 0.5242 |
| 0.4348 | 88.8889 | 300 | 0.5369 |
| 0.4093 | 118.5185 | 400 | 0.5420 |
| 0.3839 | 148.1481 | 500 | 0.5394 |
| 0.3788 | 177.7778 | 600 | 0.5430 |
| 0.3686 | 207.4074 | 700 | 0.5504 |
| 0.3606 | 237.0370 | 800 | 0.5518 |
| 0.3555 | 266.6667 | 900 | 0.5524 |
| 0.3538 | 296.2963 | 1000 | 0.5475 |
| 0.4177 | 183.3333 | 1100 | 0.3818 |
| 0.3964 | 200.0 | 1200 | 0.3996 |
| 0.3819 | 216.6667 | 1300 | 0.3972 |
| 0.3782 | 233.3333 | 1400 | 0.3990 |
| 0.3746 | 250.0 | 1500 | 0.3984 |
| 0.3679 | 266.6667 | 1600 | 0.4062 |
| 0.3637 | 283.3333 | 1700 | 0.3932 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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