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README.md

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+---
+license: apache-2.0
+base_model: microsoft/resnet-50
+tags:
+- image-classification
+- vision
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: output_resnet
+  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: 0.6705298013245033
+---
+
+<!-- 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. -->
+
+# output_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: 0.4783
+- Accuracy: 0.6705
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0+cpu
+- Datasets 2.17.0
+- Tokenizers 0.15.1

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.6705298013245033,
+    "eval_loss": 0.47829148173332214,
+    "eval_runtime": 50.9504,
+    "eval_samples_per_second": 11.855,
+    "eval_steps_per_second": 1.492,
+    "train_loss": 0.5830277178517754,
+    "train_runtime": 14271.7239,
+    "train_samples_per_second": 0.719,
+    "train_steps_per_second": 0.09
+}

config.json

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+{
+  "_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,
+  "finetuning_task": "image-classification",
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "no_pothole",
+    "1": "pothole"
+  },
+  "label2id": {
+    "no_pothole": "0",
+    "pothole": "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": "4.38.0.dev0"
+}

eval_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.6705298013245033,
+    "eval_loss": 0.47829148173332214,
+    "eval_runtime": 50.9504,
+    "eval_samples_per_second": 11.855,
+    "eval_steps_per_second": 1.492
+}

model.safetensors

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+size 94302952

preprocessor_config.json

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+{
+  "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
+  }
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "train_loss": 0.5830277178517754,
+    "train_runtime": 14271.7239,
+    "train_samples_per_second": 0.719,
+    "train_steps_per_second": 0.09
+}

trainer_state.json

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+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 1284,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.17,
+      "learning_rate": 3.0529595015576326e-05,
+      "loss": 0.6312,
+      "step": 500
+    },
+    {
+      "epoch": 2.34,
+      "learning_rate": 1.1059190031152649e-05,
+      "loss": 0.5597,
+      "step": 1000
+    },
+    {
+      "epoch": 3.0,
+      "step": 1284,
+      "total_flos": 2.1800265159020544e+17,
+      "train_loss": 0.5830277178517754,
+      "train_runtime": 14271.7239,
+      "train_samples_per_second": 0.719,
+      "train_steps_per_second": 0.09
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 1284,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 2.1800265159020544e+17,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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