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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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model-index: |
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- name: poolformer_s12-finetuned-IDRiD |
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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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# poolformer_s12-finetuned-IDRiD |
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This model is a fine-tuned version of [sail/poolformer_s12](https://huggingface.co/sail/poolformer_s12) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0484 |
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- Accuracy: 0.4762 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 30 |
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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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| No log | 1.0 | 3 | 1.6953 | 0.0238 | |
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| No log | 2.0 | 6 | 1.6010 | 0.3333 | |
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| No log | 3.0 | 9 | 1.5131 | 0.2857 | |
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| 1.5842 | 4.0 | 12 | 1.4584 | 0.3810 | |
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| 1.5842 | 5.0 | 15 | 1.4097 | 0.4286 | |
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| 1.5842 | 6.0 | 18 | 1.3579 | 0.4524 | |
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| 1.2645 | 7.0 | 21 | 1.3034 | 0.4762 | |
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| 1.2645 | 8.0 | 24 | 1.2696 | 0.4762 | |
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| 1.2645 | 9.0 | 27 | 1.2298 | 0.4524 | |
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| 1.1011 | 10.0 | 30 | 1.2088 | 0.4762 | |
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| 1.1011 | 11.0 | 33 | 1.1945 | 0.4048 | |
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| 1.1011 | 12.0 | 36 | 1.1898 | 0.4524 | |
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| 1.1011 | 13.0 | 39 | 1.1668 | 0.4524 | |
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| 1.0024 | 14.0 | 42 | 1.1484 | 0.4286 | |
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| 1.0024 | 15.0 | 45 | 1.1374 | 0.4524 | |
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| 1.0024 | 16.0 | 48 | 1.1289 | 0.4524 | |
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| 0.9111 | 17.0 | 51 | 1.1166 | 0.4524 | |
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| 0.9111 | 18.0 | 54 | 1.1081 | 0.4286 | |
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| 0.9111 | 19.0 | 57 | 1.1011 | 0.4048 | |
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| 0.876 | 20.0 | 60 | 1.1005 | 0.4286 | |
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| 0.876 | 21.0 | 63 | 1.0999 | 0.4524 | |
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| 0.876 | 22.0 | 66 | 1.0933 | 0.4524 | |
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| 0.876 | 23.0 | 69 | 1.0714 | 0.4762 | |
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| 0.8375 | 24.0 | 72 | 1.0551 | 0.4762 | |
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| 0.8375 | 25.0 | 75 | 1.0427 | 0.4762 | |
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| 0.8375 | 26.0 | 78 | 1.0386 | 0.4762 | |
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| 0.8085 | 27.0 | 81 | 1.0413 | 0.4524 | |
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| 0.8085 | 28.0 | 84 | 1.0462 | 0.4762 | |
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| 0.8085 | 29.0 | 87 | 1.0480 | 0.4762 | |
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| 0.8125 | 30.0 | 90 | 1.0484 | 0.4762 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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