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# RAVDESS_Speaker_Id_spec_dataset_vit_1

This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/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

actor_01 actor_02 actor_11 actor_12 actor_13 actor_14 actor_15 actor_16 actor_17 actor_18 actor_19 actor_20 actor_03 actor_21 actor_22 actor_23 actor_24 actor_04 actor_05 actor_06 actor_07 actor_08 actor_09 actor_10