speecht5_finetuned_anger_emotion
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: 0.3794
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 50
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4282 | 7.25 | 500 | 0.3814 |
| 0.4173 | 14.49 | 1000 | 0.3787 |
| 0.4111 | 21.74 | 1500 | 0.3783 |
| 0.4011 | 28.99 | 2000 | 0.3782 |
| 0.416 | 36.23 | 2500 | 0.3789 |
| 0.4126 | 43.48 | 3000 | 0.3794 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for dhanush23/speecht5_finetuned_anger_emotion
Base model
microsoft/speecht5_tts