Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/dinov2-base-imagenet1k-1-layer
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+- matthews_correlation
+model-index:
+- name: dinov2-base-imagenet1k-1-layer-boulderspot-vN
+  results: []
+---
+
+<!-- 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. -->
+
+# dinov2-base-imagenet1k-1-layer-boulderspot-vN
+
+This model is a fine-tuned version of [facebook/dinov2-base-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-base-imagenet1k-1-layer) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0519
+- Accuracy: 0.9810
+- F1: 0.9809
+- Precision: 0.9808
+- Recall: 0.9810
+- Matthews Correlation: 0.8501
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 7395
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:--------------------:|
+| 0.1596        | 1.0   | 203  | 0.0733          | 0.9766   | 0.9759 | 0.9757    | 0.9766 | 0.8079               |
+| 0.0635        | 2.0   | 406  | 0.1276          | 0.9474   | 0.9522 | 0.9619    | 0.9474 | 0.6845               |
+| 0.1031        | 3.0   | 609  | 0.0602          | 0.9751   | 0.9755 | 0.9760    | 0.9751 | 0.8118               |
+| 0.0587        | 4.0   | 813  | 0.0512          | 0.9737   | 0.9734 | 0.9732    | 0.9737 | 0.7905               |
+| 0.038         | 4.99  | 1015 | 0.0519          | 0.9810   | 0.9809 | 0.9808    | 0.9810 | 0.8501               |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.4.0.dev20240328+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "facebook/dinov2-base-imagenet1k-1-layer",
+  "apply_layernorm": true,
+  "architectures": [
+    "Dinov2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "drop_path_rate": 0.0,
+  "finetuning_task": "image-classification",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "bouldering_area",
+    "1": "other"
+  },
+  "image_size": 518,
+  "initializer_range": 0.02,
+  "label2id": {
+    "bouldering_area": "0",
+    "other": "1"
+  },
+  "layer_norm_eps": 1e-06,
+  "layerscale_value": 1.0,
+  "mlp_ratio": 4,
+  "model_type": "dinov2",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_features": [
+    "stage12"
+  ],
+  "out_indices": [
+    12
+  ],
+  "patch_size": 14,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "reshape_hidden_states": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.2",
+  "use_swiglu_ffn": false
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:02732ec14eebfccd75a12603901f1f75ffe44421ac607f8bc0ca0e6521b518bf
+size 346359928

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_convert_rgb",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8963a11d90a7990472b4b49b1a0b4d17650c27563cd431becef88fda91651637
+size 5112