End of training

README.md

@@ -0,0 +1,100 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: exp_result1_resnet
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8670306965761512
+    - name: Precision
+      type: precision
+      value: 0.8883902785977921
+    - name: Recall
+      type: recall
+      value: 0.8670306965761512
+    - name: F1
+      type: f1
+      value: 0.8764560257962113
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# exp_result1_resnet
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6451
+- Accuracy: 0.8670
+- Precision: 0.8884
+- Recall: 0.8670
+- F1: 0.8765
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 24
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.2343        | 1.0   | 759  | 0.4630          | 0.8271   | 0.8560    | 0.8271 | 0.8405 |
+| 0.0895        | 2.0   | 1518 | 0.5436          | 0.8557   | 0.8589    | 0.8557 | 0.8573 |
+| 0.0576        | 3.0   | 2277 | 0.6000          | 0.8709   | 0.8675    | 0.8709 | 0.8692 |
+| 0.0442        | 4.0   | 3036 | 0.5490          | 0.8676   | 0.8808    | 0.8676 | 0.8738 |
+| 0.0353        | 5.0   | 3795 | 0.6611          | 0.8612   | 0.8758    | 0.8612 | 0.8680 |
+| 0.0234        | 6.0   | 4554 | 0.6407          | 0.8556   | 0.8932    | 0.8556 | 0.8710 |
+| 0.0232        | 7.0   | 5313 | 0.6700          | 0.8738   | 0.8735    | 0.8738 | 0.8736 |
+| 0.0206        | 8.0   | 6072 | 0.6441          | 0.8717   | 0.8925    | 0.8717 | 0.8808 |
+| 0.0197        | 9.0   | 6831 | 0.7248          | 0.8517   | 0.8927    | 0.8517 | 0.8684 |
+| 0.0161        | 10.0  | 7590 | 0.6451          | 0.8670   | 0.8884    | 0.8670 | 0.8765 |
+
+
+### Framework versions
+
+- Transformers 4.53.0.dev0
+- Pytorch 2.7.1+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:043c0d68520c15e3830716d0958beaa63a7f9b6d0b0663deb5211e5b8f7caaed
+oid sha256:091329edfaebf787e58c5b8440451dda91d2d5129bf56c7aa2af57193a7edaa8
 size 94302952