rotated_maps

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: google/vit-large-patch16-224
+tags:
+- image-classification
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: vit-large-patch16-224-testing-dungeons-lora-23Nov24-0010
+  results:
+  - task:
+      type: image-classification
+      name: Image Classification
+    dataset:
+      name: rotated_maps
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - type: accuracy
+      value: 1.0
+      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-testing-dungeons-lora-23Nov24-0010
+
+This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the rotated_maps dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0977
+- Accuracy: 1.0
+
+## 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        | 0.6667 | 1    | 1.4309          | 0.2963   |
+| No log        | 2.0    | 3    | 1.1590          | 0.5926   |
+| No log        | 2.6667 | 4    | 0.7057          | 0.8148   |
+| No log        | 4.0    | 6    | 0.4692          | 0.8148   |
+| No log        | 4.6667 | 7    | 0.2285          | 0.9630   |
+| No log        | 6.0    | 9    | 0.2492          | 0.8889   |
+| 0.7456        | 6.6667 | 10   | 0.1295          | 1.0      |
+| 0.7456        | 8.0    | 12   | 0.0977          | 1.0      |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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",
+  "bias": "none",
+  "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_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 6322120

all_results.json

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+{
+    "epoch": 8.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.09772621840238571,
+    "eval_runtime": 0.4904,
+    "eval_samples_per_second": 55.057,
+    "eval_steps_per_second": 8.157
+}

eval_results.json

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+{
+    "epoch": 8.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.09772621840238571,
+    "eval_runtime": 0.4904,
+    "eval_samples_per_second": 55.057,
+    "eval_steps_per_second": 8.157
+}

preprocessor_config.json

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+{
+  "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/Nov23_19-27-38_f5335f7c91c7/events.out.tfevents.1732390070.f5335f7c91c7.462.22

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training_args.bin

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