---
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: 0.8629173989455184
---

<!-- 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: 0.4790
- Accuracy: 0.8629

## 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: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7766        | 0.75  | 100  | 0.6780          | 0.8225   |
| 0.61          | 1.49  | 200  | 0.6279          | 0.8243   |
| 0.4734        | 2.24  | 300  | 0.5593          | 0.8278   |
| 0.5275        | 2.99  | 400  | 0.5148          | 0.8418   |
| 0.3767        | 3.73  | 500  | 0.5129          | 0.8436   |
| 0.3207        | 4.48  | 600  | 0.4966          | 0.8559   |
| 0.3155        | 5.22  | 700  | 0.5251          | 0.8453   |
| 0.2565        | 5.97  | 800  | 0.4790          | 0.8629   |
| 0.2791        | 6.72  | 900  | 0.5111          | 0.8524   |
| 0.1987        | 7.46  | 1000 | 0.5002          | 0.8453   |
| 0.2083        | 8.21  | 1100 | 0.5034          | 0.8629   |
| 0.2567        | 8.96  | 1200 | 0.4995          | 0.8576   |
| 0.2127        | 9.7   | 1300 | 0.5034          | 0.8489   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2