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--- |
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license: apache-2.0 |
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base_model: NekoFi/content-manage-exp2 |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: portrait_cosu_exp3 |
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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: 0.9148936170212766 |
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- name: Precision |
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type: precision |
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value: 0.9189941972920695 |
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- name: Recall |
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type: recall |
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value: 0.9148936170212766 |
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- name: F1 |
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type: f1 |
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value: 0.9152832982620216 |
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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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# portrait_cosu_exp3 |
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This model is a fine-tuned version of [NekoFi/content-manage-exp2](https://huggingface.co/NekoFi/content-manage-exp2) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2524 |
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- Accuracy: 0.9149 |
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- Precision: 0.9190 |
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- Recall: 0.9149 |
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- F1: 0.9153 |
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- Confusion Matrix: [[19, 1], [3, 24]] |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Confusion Matrix | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------------------:| |
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| No log | 0.9231 | 6 | 0.2921 | 0.8511 | 0.8527 | 0.8511 | 0.8515 | [[17, 3], [4, 23]] | |
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| 0.5415 | 2.0 | 13 | 0.2564 | 0.9362 | 0.9426 | 0.9362 | 0.9353 | [[17, 3], [0, 27]] | |
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| 0.5415 | 2.9231 | 19 | 0.3605 | 0.8723 | 0.8864 | 0.8723 | 0.8730 | [[19, 1], [5, 22]] | |
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| 0.378 | 3.6923 | 24 | 0.2524 | 0.9149 | 0.9190 | 0.9149 | 0.9153 | [[19, 1], [3, 24]] | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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