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---
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
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