End of training

README.md

@@ -0,0 +1,95 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: cat_dog_classifier_with_small_datasest
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8571428571428571
+---
+
+<!-- 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. -->
+
+# cat_dog_classifier_with_small_datasest
+
+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: 0.5540
+- Accuracy: 0.8571
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 140  | 0.5149          | 0.8143   |
+| No log        | 2.0   | 280  | 0.2519          | 0.9214   |
+| No log        | 3.0   | 420  | 0.3596          | 0.85     |
+| 0.3145        | 4.0   | 560  | 0.2661          | 0.9214   |
+| 0.3145        | 5.0   | 700  | 0.2600          | 0.8929   |
+| 0.3145        | 6.0   | 840  | 0.1840          | 0.9286   |
+| 0.3145        | 7.0   | 980  | 0.3145          | 0.9071   |
+| 0.27          | 8.0   | 1120 | 0.2121          | 0.9214   |
+| 0.27          | 9.0   | 1260 | 0.3926          | 0.8571   |
+| 0.27          | 10.0  | 1400 | 0.3488          | 0.8786   |
+| 0.2426        | 11.0  | 1540 | 0.2437          | 0.9071   |
+| 0.2426        | 12.0  | 1680 | 0.2497          | 0.9      |
+| 0.2426        | 13.0  | 1820 | 0.1663          | 0.9214   |
+| 0.2426        | 14.0  | 1960 | 0.2132          | 0.9357   |
+| 0.2556        | 15.0  | 2100 | 0.3464          | 0.8714   |
+| 0.2556        | 16.0  | 2240 | 0.3063          | 0.9071   |
+| 0.2556        | 17.0  | 2380 | 0.2992          | 0.9071   |
+| 0.261         | 18.0  | 2520 | 0.3765          | 0.8857   |
+| 0.261         | 19.0  | 2660 | 0.1396          | 0.9286   |
+| 0.261         | 20.0  | 2800 | 0.5540          | 0.8571   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -0,0 +1,49 @@
+{
+  "_name_or_path": "microsoft/resnet-50",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    4,
+    6,
+    3
+  ],
+  "downsample_in_bottleneck": false,
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "cats",
+    "1": "dogs"
+  },
+  "label2id": {
+    "cats": "0",
+    "dogs": "1"
+  },
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5062c7e929c839913be7cc1450108ba30e529ee5437b6f5fd9f1174e10bf9120
+size 94302952

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a48a20a9ee2b11e112d3b92bc427414ead8aa76250505a74c21dde3a255fbb9e
+size 5368