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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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- 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: imagefolder |
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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: 0.8488576449912126 |
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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 imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5034 |
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- Accuracy: 0.8489 |
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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: 32 |
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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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| 0.7766 | 0.75 | 100 | 0.6780 | 0.8225 | |
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| 0.61 | 1.49 | 200 | 0.6279 | 0.8243 | |
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| 0.4734 | 2.24 | 300 | 0.5593 | 0.8278 | |
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| 0.5275 | 2.99 | 400 | 0.5148 | 0.8418 | |
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| 0.3767 | 3.73 | 500 | 0.5129 | 0.8436 | |
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| 0.3207 | 4.48 | 600 | 0.4966 | 0.8559 | |
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| 0.3155 | 5.22 | 700 | 0.5251 | 0.8453 | |
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| 0.2565 | 5.97 | 800 | 0.4790 | 0.8629 | |
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| 0.2791 | 6.72 | 900 | 0.5111 | 0.8524 | |
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| 0.1987 | 7.46 | 1000 | 0.5002 | 0.8453 | |
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| 0.2083 | 8.21 | 1100 | 0.5034 | 0.8629 | |
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| 0.2567 | 8.96 | 1200 | 0.4995 | 0.8576 | |
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| 0.2127 | 9.7 | 1300 | 0.5034 | 0.8489 | |
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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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