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--- |
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license: apache-2.0 |
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base_model: Raihan004/Action_model |
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tags: |
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- image-classification |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: Action_model |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: action_class |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8330404217926186 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Action_model |
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This model is a fine-tuned version of [Raihan004/Action_model](https://huggingface.co/Raihan004/Action_model) on the action_class dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6130 |
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- Accuracy: 0.8330 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.255 | 0.37 | 100 | 0.7616 | 0.7926 | |
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| 0.2048 | 0.75 | 200 | 0.7247 | 0.8084 | |
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| 0.3763 | 1.12 | 300 | 0.6130 | 0.8330 | |
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| 0.307 | 1.49 | 400 | 0.8137 | 0.7891 | |
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| 0.3542 | 1.87 | 500 | 0.6612 | 0.8014 | |
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| 0.3518 | 2.24 | 600 | 0.6965 | 0.8190 | |
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| 0.3706 | 2.61 | 700 | 0.7254 | 0.8049 | |
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| 0.4084 | 2.99 | 800 | 0.6746 | 0.8102 | |
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| 0.2533 | 3.36 | 900 | 0.6867 | 0.8190 | |
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| 0.3147 | 3.73 | 1000 | 0.7077 | 0.8190 | |
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| 0.3182 | 4.1 | 1100 | 0.6661 | 0.8190 | |
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| 0.2248 | 4.48 | 1200 | 0.6632 | 0.8418 | |
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| 0.1617 | 4.85 | 1300 | 0.7277 | 0.8172 | |
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| 0.2578 | 5.22 | 1400 | 0.7114 | 0.8190 | |
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| 0.1864 | 5.6 | 1500 | 0.7554 | 0.8172 | |
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| 0.3134 | 5.97 | 1600 | 0.7593 | 0.8155 | |
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| 0.24 | 6.34 | 1700 | 0.7511 | 0.8260 | |
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| 0.2359 | 6.72 | 1800 | 0.7502 | 0.8137 | |
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| 0.2322 | 7.09 | 1900 | 0.6953 | 0.8348 | |
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| 0.1514 | 7.46 | 2000 | 0.7121 | 0.8260 | |
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| 0.2089 | 7.84 | 2100 | 0.6931 | 0.8278 | |
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| 0.2245 | 8.21 | 2200 | 0.7087 | 0.8330 | |
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| 0.1328 | 8.58 | 2300 | 0.7003 | 0.8313 | |
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| 0.1304 | 8.96 | 2400 | 0.7306 | 0.8225 | |
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| 0.1514 | 9.33 | 2500 | 0.7162 | 0.8260 | |
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| 0.2571 | 9.7 | 2600 | 0.7013 | 0.8348 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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