RAVDESS_Speaker_Id_spec_dataset_vit_1
This model is a fine-tuned version of WinKawaks/vit-tiny-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.8945
- Accuracy: 0.6898
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 8 | 3.2704 | 0.0648 |
| 3.565 | 2.0 | 16 | 2.9777 | 0.1204 |
| 2.9674 | 3.0 | 24 | 2.4613 | 0.2963 |
| 2.2864 | 4.0 | 32 | 1.9951 | 0.4028 |
| 1.5685 | 5.0 | 40 | 1.6858 | 0.5 |
| 1.5685 | 6.0 | 48 | 1.4689 | 0.5509 |
| 1.0277 | 7.0 | 56 | 1.3074 | 0.6389 |
| 0.6389 | 8.0 | 64 | 1.2081 | 0.6713 |
| 0.3924 | 9.0 | 72 | 1.1233 | 0.6944 |
| 0.2291 | 10.0 | 80 | 1.0603 | 0.6991 |
| 0.2291 | 11.0 | 88 | 0.9899 | 0.7222 |
| 0.129 | 12.0 | 96 | 0.9880 | 0.6713 |
| 0.0812 | 13.0 | 104 | 0.9722 | 0.7037 |
| 0.0481 | 14.0 | 112 | 0.9296 | 0.7176 |
| 0.0325 | 15.0 | 120 | 0.9181 | 0.6852 |
| 0.0325 | 16.0 | 128 | 0.9013 | 0.7176 |
| 0.0212 | 17.0 | 136 | 0.9077 | 0.6944 |
| 0.0151 | 18.0 | 144 | 0.8954 | 0.7037 |
| 0.0121 | 19.0 | 152 | 0.8941 | 0.7037 |
| 0.0103 | 20.0 | 160 | 0.8945 | 0.6898 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0