|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: facebook/deit-tiny-distilled-patch16-224 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: deit-tiny-distilled-patch16-224emotion_model_binary_deit |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# deit-tiny-distilled-patch16-224emotion_model_binary_deit |
|
|
|
|
|
This model is a fine-tuned version of [facebook/deit-tiny-distilled-patch16-224](https://huggingface.co/facebook/deit-tiny-distilled-patch16-224) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.7254 |
|
|
- Accuracy: 0.9056 |
|
|
- Weighted f1: 0.9056 |
|
|
- Micro f1: 0.9056 |
|
|
- Macro f1: 0.9056 |
|
|
- Weighted recall: 0.9056 |
|
|
- Micro recall: 0.9056 |
|
|
- Macro recall: 0.9056 |
|
|
|
|
|
## 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: 64 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 10 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:| |
|
|
| 0.4537 | 1.0 | 401 | 0.3859 | 0.8234 | 0.8219 | 0.8234 | 0.8219 | 0.8234 | 0.8234 | 0.8234 | |
|
|
| 0.3044 | 2.0 | 802 | 0.3653 | 0.8422 | 0.8411 | 0.8422 | 0.8411 | 0.8422 | 0.8422 | 0.8422 | |
|
|
| 0.1886 | 3.0 | 1203 | 0.2977 | 0.8859 | 0.8859 | 0.8859 | 0.8859 | 0.8859 | 0.8859 | 0.8859 | |
|
|
| 0.093 | 4.0 | 1604 | 0.3351 | 0.8972 | 0.8972 | 0.8972 | 0.8972 | 0.8972 | 0.8972 | 0.8972 | |
|
|
| 0.048 | 5.0 | 2005 | 0.4311 | 0.9025 | 0.9025 | 0.9025 | 0.9025 | 0.9025 | 0.9025 | 0.9025 | |
|
|
| 0.0245 | 6.0 | 2406 | 0.5580 | 0.9034 | 0.9034 | 0.9034 | 0.9034 | 0.9034 | 0.9034 | 0.9034 | |
|
|
| 0.0101 | 7.0 | 2807 | 0.6712 | 0.9044 | 0.9044 | 0.9044 | 0.9044 | 0.9044 | 0.9044 | 0.9044 | |
|
|
| 0.0029 | 8.0 | 3208 | 0.7049 | 0.9041 | 0.9041 | 0.9041 | 0.9041 | 0.9041 | 0.9041 | 0.9041 | |
|
|
| 0.0011 | 9.0 | 3609 | 0.7212 | 0.9047 | 0.9047 | 0.9047 | 0.9047 | 0.9047 | 0.9047 | 0.9047 | |
|
|
| 0.0006 | 10.0 | 4010 | 0.7254 | 0.9056 | 0.9056 | 0.9056 | 0.9056 | 0.9056 | 0.9056 | 0.9056 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.1 |
|
|
- Pytorch 2.8.0+cu126 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.22.1 |
|
|
|
