End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- fair_face
+metrics:
+- accuracy
+model-index:
+- name: trained-gender
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: fair_face
+      type: fair_face
+      config: '0.25'
+      split: validation
+      args: '0.25'
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8985758626985576
+---
+
+<!-- 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. -->
+
+# trained-gender
+
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the fair_face dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2437
+- Accuracy: 0.8986
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4277        | 0.18  | 1000  | 0.4054          | 0.8089   |
+| 0.315         | 0.37  | 2000  | 0.3487          | 0.8318   |
+| 0.3082        | 0.55  | 3000  | 0.3052          | 0.8633   |
+| 0.3235        | 0.74  | 4000  | 0.2899          | 0.8684   |
+| 0.2505        | 0.92  | 5000  | 0.2693          | 0.8785   |
+| 0.2484        | 1.11  | 6000  | 0.2547          | 0.8889   |
+| 0.1933        | 1.29  | 7000  | 0.2521          | 0.8901   |
+| 0.1497        | 1.48  | 8000  | 0.2443          | 0.8929   |
+| 0.326         | 1.66  | 9000  | 0.2406          | 0.8958   |
+| 0.215         | 1.84  | 10000 | 0.2381          | 0.9007   |
+| 0.2035        | 2.03  | 11000 | 0.2437          | 0.8986   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.0

all_results.json

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+{
+    "epoch": 2.03,
+    "total_flos": 3.7370912368449946e+18,
+    "train_loss": 0.29799577762321994,
+    "train_runtime": 2883.713,
+    "train_samples_per_second": 120.323,
+    "train_steps_per_second": 7.521
+}

config.json

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+{
+  "_name_or_path": "microsoft/resnet-50",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    4,
+    6,
+    3
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "Male",
+    "1": "Female"
+  },
+  "label2id": {
+    "Female": "1",
+    "Male": "0"
+  },
+  "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": "4.34.0"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

pytorch_model.bin

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+size 94374989

train_results.json

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+{
+    "epoch": 2.03,
+    "total_flos": 3.7370912368449946e+18,
+    "train_loss": 0.29799577762321994,
+    "train_runtime": 2883.713,
+    "train_samples_per_second": 120.323,
+    "train_steps_per_second": 7.521
+}

training_args.bin

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