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deit-tiny-patch16-224-finetuned-papsmear

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  2. model.safetensors +1 -1
README.md CHANGED
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  ---
 
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  license: apache-2.0
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  base_model: facebook/deit-tiny-patch16-224
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  tags:
@@ -22,7 +23,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9117647058823529
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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
@@ -32,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3418
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- - Accuracy: 0.9118
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  ## Model description
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 0.1493 | 0.9870 | 19 | 0.3965 | 0.8603 |
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- | 0.181 | 1.9740 | 38 | 0.5619 | 0.8235 |
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- | 0.2222 | 2.9610 | 57 | 0.4637 | 0.875 |
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- | 0.1273 | 4.0 | 77 | 0.4504 | 0.8824 |
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- | 0.2217 | 4.9870 | 96 | 0.4186 | 0.875 |
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- | 0.1678 | 5.9740 | 115 | 0.3936 | 0.8676 |
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- | 0.1302 | 6.9610 | 134 | 0.3591 | 0.9044 |
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- | 0.1494 | 8.0 | 154 | 0.3726 | 0.9118 |
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- | 0.1235 | 8.9870 | 173 | 0.3986 | 0.8897 |
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- | 0.1648 | 9.9740 | 192 | 0.3476 | 0.9265 |
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- | 0.1062 | 10.9610 | 211 | 0.3309 | 0.8971 |
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- | 0.1098 | 12.0 | 231 | 0.3293 | 0.9265 |
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- | 0.0684 | 12.9870 | 250 | 0.3472 | 0.9044 |
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- | 0.0907 | 13.9740 | 269 | 0.3483 | 0.9044 |
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- | 0.0903 | 14.8052 | 285 | 0.3418 | 0.9118 |
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  ### Framework versions
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- - Transformers 4.44.0
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- - Pytorch 2.4.0
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- - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
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  license: apache-2.0
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  base_model: facebook/deit-tiny-patch16-224
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  tags:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8235294117647058
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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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  This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4747
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+ - Accuracy: 0.8235
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  ## Model description
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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: 8
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+ - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 1.5381 | 0.9935 | 38 | 1.4222 | 0.3897 |
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+ | 1.172 | 1.9869 | 76 | 1.1008 | 0.5882 |
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+ | 0.8361 | 2.9804 | 114 | 0.8529 | 0.6618 |
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+ | 0.6869 | 4.0 | 153 | 0.9582 | 0.6324 |
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+ | 0.4995 | 4.9935 | 191 | 0.6926 | 0.7574 |
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+ | 0.4576 | 5.9869 | 229 | 0.4967 | 0.8529 |
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+ | 0.4187 | 6.9804 | 267 | 0.5350 | 0.8162 |
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+ | 0.4075 | 8.0 | 306 | 0.4903 | 0.8088 |
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+ | 0.3585 | 8.9935 | 344 | 0.5252 | 0.7868 |
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+ | 0.3528 | 9.9869 | 382 | 0.5027 | 0.8088 |
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+ | 0.2788 | 10.9804 | 420 | 0.4503 | 0.8456 |
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+ | 0.2419 | 12.0 | 459 | 0.4857 | 0.8309 |
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+ | 0.2544 | 12.9935 | 497 | 0.5543 | 0.7868 |
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+ | 0.2591 | 13.9869 | 535 | 0.4839 | 0.8382 |
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+ | 0.207 | 14.9020 | 570 | 0.4747 | 0.8235 |
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  ### Framework versions
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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  - Tokenizers 0.19.1
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