|
--- |
|
license: apache-2.0 |
|
base_model: Raihan004/Action_model |
|
tags: |
|
- image-classification |
|
- generated_from_trainer |
|
datasets: |
|
- imagefolder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: Action_model |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: action_class |
|
type: imagefolder |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.8330404217926186 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Action_model |
|
|
|
This model is a fine-tuned version of [Raihan004/Action_model](https://huggingface.co/Raihan004/Action_model) on the action_class dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6130 |
|
- Accuracy: 0.8330 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.255 | 0.37 | 100 | 0.7616 | 0.7926 | |
|
| 0.2048 | 0.75 | 200 | 0.7247 | 0.8084 | |
|
| 0.3763 | 1.12 | 300 | 0.6130 | 0.8330 | |
|
| 0.307 | 1.49 | 400 | 0.8137 | 0.7891 | |
|
| 0.3542 | 1.87 | 500 | 0.6612 | 0.8014 | |
|
| 0.3518 | 2.24 | 600 | 0.6965 | 0.8190 | |
|
| 0.3706 | 2.61 | 700 | 0.7254 | 0.8049 | |
|
| 0.4084 | 2.99 | 800 | 0.6746 | 0.8102 | |
|
| 0.2533 | 3.36 | 900 | 0.6867 | 0.8190 | |
|
| 0.3147 | 3.73 | 1000 | 0.7077 | 0.8190 | |
|
| 0.3182 | 4.1 | 1100 | 0.6661 | 0.8190 | |
|
| 0.2248 | 4.48 | 1200 | 0.6632 | 0.8418 | |
|
| 0.1617 | 4.85 | 1300 | 0.7277 | 0.8172 | |
|
| 0.2578 | 5.22 | 1400 | 0.7114 | 0.8190 | |
|
| 0.1864 | 5.6 | 1500 | 0.7554 | 0.8172 | |
|
| 0.3134 | 5.97 | 1600 | 0.7593 | 0.8155 | |
|
| 0.24 | 6.34 | 1700 | 0.7511 | 0.8260 | |
|
| 0.2359 | 6.72 | 1800 | 0.7502 | 0.8137 | |
|
| 0.2322 | 7.09 | 1900 | 0.6953 | 0.8348 | |
|
| 0.1514 | 7.46 | 2000 | 0.7121 | 0.8260 | |
|
| 0.2089 | 7.84 | 2100 | 0.6931 | 0.8278 | |
|
| 0.2245 | 8.21 | 2200 | 0.7087 | 0.8330 | |
|
| 0.1328 | 8.58 | 2300 | 0.7003 | 0.8313 | |
|
| 0.1304 | 8.96 | 2400 | 0.7306 | 0.8225 | |
|
| 0.1514 | 9.33 | 2500 | 0.7162 | 0.8260 | |
|
| 0.2571 | 9.7 | 2600 | 0.7013 | 0.8348 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
