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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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base_model: google/siglip-base-patch16-512 |
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model-index: |
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- name: siglip-tagger-test-2 |
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results: [] |
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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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# siglip-tagger-test-2 |
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This model is a fine-tuned version of [google/siglip-base-patch16-512](https://huggingface.co/google/siglip-base-patch16-512) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 364.7850 |
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- Accuracy: 0.2539 |
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- F1: 0.9967 |
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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: 16 |
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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: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 1496.9876 | 1.0 | 141 | 691.3267 | 0.1242 | 0.9957 | |
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| 860.0218 | 2.0 | 282 | 433.5286 | 0.1626 | 0.9965 | |
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| 775.4277 | 3.0 | 423 | 409.0374 | 0.1827 | 0.9966 | |
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| 697.2465 | 4.0 | 564 | 396.5604 | 0.2025 | 0.9966 | |
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| 582.6023 | 5.0 | 705 | 388.3294 | 0.2065 | 0.9966 | |
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| 617.5087 | 6.0 | 846 | 382.2605 | 0.2213 | 0.9966 | |
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| 627.533 | 7.0 | 987 | 377.6726 | 0.2269 | 0.9967 | |
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| 595.4033 | 8.0 | 1128 | 374.3268 | 0.2327 | 0.9967 | |
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| 593.3854 | 9.0 | 1269 | 371.4181 | 0.2409 | 0.9967 | |
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| 537.9777 | 10.0 | 1410 | 369.5010 | 0.2421 | 0.9967 | |
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| 552.3083 | 11.0 | 1551 | 368.0743 | 0.2468 | 0.9967 | |
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| 570.5438 | 12.0 | 1692 | 366.8302 | 0.2498 | 0.9967 | |
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| 507.5343 | 13.0 | 1833 | 366.1787 | 0.2499 | 0.9967 | |
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| 515.5528 | 14.0 | 1974 | 365.5653 | 0.2525 | 0.9967 | |
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| 458.5096 | 15.0 | 2115 | 365.1838 | 0.2528 | 0.9967 | |
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| 515.6953 | 16.0 | 2256 | 364.9844 | 0.2535 | 0.9967 | |
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| 533.7929 | 17.0 | 2397 | 364.8577 | 0.2538 | 0.9967 | |
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| 520.3728 | 18.0 | 2538 | 364.8066 | 0.2537 | 0.9967 | |
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| 525.1097 | 19.0 | 2679 | 364.7850 | 0.2539 | 0.9967 | |
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| 482.0612 | 20.0 | 2820 | 364.7876 | 0.2539 | 0.9967 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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