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poolformer_s12-finetuned-IDRiD

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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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+
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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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+
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+ # poolformer_s12-finetuned-IDRiD
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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