Hugging Face's logo

Raihan004
/
Action_model

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
Action_model / README.md
Raihan004's picture
Raihan004
🍻 cheers
3838257 verified
preview code
|
raw
history blame
No virus
3.28 kB
metadata
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

Action_model

This model is a fine-tuned version of 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