Model save

README.md

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+---
+license: apache-2.0
+base_model: microsoft/resnet-18
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Action_agent_small_34_class
+  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: 0.09523809523809523
+---
+
+<!-- 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. -->
+
+# Action_agent_small_34_class
+
+This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Accuracy: 0.0952
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0           | 0.32  | 100  | nan             | 0.0952   |
+| 0.0           | 0.64  | 200  | nan             | 0.0952   |
+| 0.0           | 0.96  | 300  | nan             | 0.0952   |
+| 0.0           | 1.27  | 400  | nan             | 0.0952   |
+| 0.0           | 1.59  | 500  | nan             | 0.0952   |
+| 0.0           | 1.91  | 600  | nan             | 0.0952   |
+| 0.0           | 2.23  | 700  | nan             | 0.0952   |
+| 0.0           | 2.55  | 800  | nan             | 0.0952   |
+| 0.0           | 2.87  | 900  | nan             | 0.0952   |
+| 0.0           | 3.18  | 1000 | nan             | 0.0952   |
+| 0.0           | 3.5   | 1100 | nan             | 0.0952   |
+| 0.0           | 3.82  | 1200 | nan             | 0.0952   |
+| 0.0           | 4.14  | 1300 | nan             | 0.0952   |
+| 0.0           | 4.46  | 1400 | nan             | 0.0952   |
+| 0.0           | 4.78  | 1500 | nan             | 0.0952   |
+| 0.0           | 5.1   | 1600 | nan             | 0.0952   |
+| 0.0           | 5.41  | 1700 | nan             | 0.0952   |
+| 0.0           | 5.73  | 1800 | nan             | 0.0952   |
+| 0.0           | 6.05  | 1900 | nan             | 0.0952   |
+| 0.0           | 6.37  | 2000 | nan             | 0.0952   |
+| 0.0           | 6.69  | 2100 | nan             | 0.0952   |
+| 0.0           | 7.01  | 2200 | nan             | 0.0952   |
+| 0.0           | 7.32  | 2300 | nan             | 0.0952   |
+| 0.0           | 7.64  | 2400 | nan             | 0.0952   |
+| 0.0           | 7.96  | 2500 | nan             | 0.0952   |
+| 0.0           | 8.28  | 2600 | nan             | 0.0952   |
+| 0.0           | 8.6   | 2700 | nan             | 0.0952   |
+| 0.0           | 8.92  | 2800 | nan             | 0.0952   |
+| 0.0           | 9.24  | 2900 | nan             | 0.0952   |
+| 0.0           | 9.55  | 3000 | nan             | 0.0952   |
+| 0.0           | 9.87  | 3100 | nan             | 0.0952   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "microsoft/resnet-18",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsample_in_bottleneck": false,
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    64,
+    128,
+    256,
+    512
+  ],
+  "id2label": {
+    "0": "\u0995\u09a5\u09be_\u09ac\u09b2\u09be",
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+    "2": "\u0996\u09be\u0993\u09df\u09be",
+    "3": "\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be",
+    "4": "\u0998\u09c1\u09ae\u09be\u09a8\u09cb",
+    "5": "\u09aa\u09be\u09a8_\u0995\u09b0\u09be",
+    "6": "\u09aa\u09dc\u09be",
+    "7": "\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be",
+    "8": "\u09b2\u09c7\u0996\u09be",
+    "9": "\u09b9\u09be\u0981\u099f\u09be"
+  },
+  "label2id": {
+    "\u0995\u09a5\u09be_\u09ac\u09b2\u09be": 0,
+    "\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be": 1,
+    "\u0996\u09be\u0993\u09df\u09be": 2,
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+    "\u09b2\u09c7\u0996\u09be": 8,
+    "\u09b9\u09be\u0981\u099f\u09be": 9
+  },
+  "layer_type": "basic",
+  "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": "4.39.3"
+}

model.safetensors

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+size 44780752

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "crop_pct",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "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
+  }
+}

runs/Apr22_19-06-27_127da31333b9/events.out.tfevents.1713812804.127da31333b9.34.0

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+size 60163

training_args.bin

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