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rukundob451
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convnext-tiny-224-finetuned-papsmear

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convnext
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  1. README.md +25 -24
  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/convnext-tiny-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: 0.7794117647058824
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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/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6033
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- - Accuracy: 0.7794
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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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- | 1.8151 | 0.9870 | 19 | 1.6491 | 0.3456 |
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- | 1.6104 | 1.9740 | 38 | 1.4322 | 0.4265 |
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- | 1.4002 | 2.9610 | 57 | 1.2286 | 0.5882 |
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- | 1.203 | 4.0 | 77 | 1.0559 | 0.6544 |
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- | 1.047 | 4.9870 | 96 | 0.9357 | 0.6765 |
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- | 0.9083 | 5.9740 | 115 | 0.8477 | 0.7279 |
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- | 0.8756 | 6.9610 | 134 | 0.7762 | 0.75 |
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- | 0.7853 | 8.0 | 154 | 0.7258 | 0.7647 |
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- | 0.7198 | 8.9870 | 173 | 0.7023 | 0.7574 |
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- | 0.7151 | 9.9740 | 192 | 0.6756 | 0.7574 |
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- | 0.7049 | 10.9610 | 211 | 0.6493 | 0.7574 |
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- | 0.6387 | 12.0 | 231 | 0.6256 | 0.7721 |
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- | 0.6387 | 12.9870 | 250 | 0.6295 | 0.7721 |
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- | 0.6233 | 13.9740 | 269 | 0.6033 | 0.7794 |
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- | 0.632 | 14.8052 | 285 | 0.6010 | 0.7794 |
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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/convnext-tiny-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: 0.8529411764705882
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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/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4485
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+ - Accuracy: 0.8529
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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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+ | 1.4789 | 0.9935 | 38 | 1.4474 | 0.3235 |
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+ | 1.2481 | 1.9869 | 76 | 1.0898 | 0.6397 |
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+ | 0.9694 | 2.9804 | 114 | 0.9261 | 0.6471 |
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+ | 0.8414 | 4.0 | 153 | 0.8016 | 0.7059 |
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+ | 0.7675 | 4.9935 | 191 | 0.7258 | 0.7426 |
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+ | 0.7131 | 5.9869 | 229 | 0.7147 | 0.7353 |
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+ | 0.5973 | 6.9804 | 267 | 0.7040 | 0.7353 |
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+ | 0.5543 | 8.0 | 306 | 0.6064 | 0.7941 |
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+ | 0.4903 | 8.9935 | 344 | 0.5418 | 0.8382 |
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+ | 0.3942 | 9.9869 | 382 | 0.5043 | 0.8456 |
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+ | 0.3721 | 10.9804 | 420 | 0.4922 | 0.8456 |
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+ | 0.4036 | 12.0 | 459 | 0.4944 | 0.8309 |
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+ | 0.3444 | 12.9935 | 497 | 0.4760 | 0.8529 |
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+ | 0.3385 | 13.9869 | 535 | 0.4597 | 0.8603 |
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+ | 0.3161 | 14.9020 | 570 | 0.4485 | 0.8529 |
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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 3.0.0
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  - Tokenizers 0.19.1
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