rotated_maps

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: google/vit-large-patch16-224-in21k
+tags:
+- image-classification
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: vit-large-patch16-224-in21k-testing-dungeons-lora-27Dec24-0001
+  results:
+  - task:
+      type: image-classification
+      name: Image Classification
+    dataset:
+      name: rotated_maps
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - type: accuracy
+      value: 0.9607142857142857
+      name: Accuracy
+---
+
+<!-- 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. -->
+
+# vit-large-patch16-224-in21k-testing-dungeons-lora-27Dec24-0001
+
+This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the rotated_maps dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1076
+- Accuracy: 0.9607
+
+## 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: 0.005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| No log        | 0.7273  | 2    | 1.5502          | 0.2946   |
+| No log        | 1.7273  | 4    | 1.1408          | 0.6696   |
+| No log        | 2.7273  | 6    | 1.0113          | 0.6036   |
+| No log        | 3.7273  | 8    | 0.6030          | 0.8411   |
+| 5.1081        | 4.7273  | 10   | 0.4665          | 0.8625   |
+| 5.1081        | 5.7273  | 12   | 0.4145          | 0.8643   |
+| 5.1081        | 6.7273  | 14   | 0.2846          | 0.9107   |
+| 5.1081        | 7.7273  | 16   | 0.2386          | 0.9125   |
+| 5.1081        | 8.7273  | 18   | 0.1564          | 0.9554   |
+| 0.7653        | 9.7273  | 20   | 0.1178          | 0.9679   |
+| 0.7653        | 10.7273 | 22   | 0.1241          | 0.9536   |
+| 0.7653        | 11.7273 | 24   | 0.1076          | 0.9607   |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "ViTForImageClassification",
+    "parent_library": "transformers.models.vit.modeling_vit"
+  },
+  "base_model_name_or_path": "google/vit-large-patch16-224-in21k",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier"
+  ],
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "value",
+    "query"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 6326220

all_results.json

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+{
+    "epoch": 11.727272727272727,
+    "eval_accuracy": 0.9607142857142857,
+    "eval_loss": 0.10761233419179916,
+    "eval_runtime": 8.7931,
+    "eval_samples_per_second": 63.686,
+    "eval_steps_per_second": 7.961
+}

eval_results.json

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+{
+    "epoch": 11.727272727272727,
+    "eval_accuracy": 0.9607142857142857,
+    "eval_loss": 0.10761233419179916,
+    "eval_runtime": 8.7931,
+    "eval_samples_per_second": 63.686,
+    "eval_steps_per_second": 7.961
+}

preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": false,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Dec27_18-35-49_021be320e763/events.out.tfevents.1735324617.021be320e763.1098.0

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training_args.bin

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