Model save

README.md

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+---
+license: apache-2.0
+base_model: moreover18/vit-base-patch16-224-in21k-YB
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: vit-part1-friends
+  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: 0.9381107491856677
+---
+
+<!-- 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-part1-friends
+
+This model is a fine-tuned version of [moreover18/vit-base-patch16-224-in21k-YB](https://huggingface.co/moreover18/vit-base-patch16-224-in21k-YB) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2036
+- Accuracy: 0.9381
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1627        | 1.3   | 50   | 0.2258          | 0.9202   |
+| 0.1183        | 2.6   | 100  | 0.2148          | 0.9235   |
+| 0.1223        | 3.9   | 150  | 0.2055          | 0.9267   |
+| 0.0992        | 5.19  | 200  | 0.1976          | 0.9332   |
+| 0.0824        | 6.49  | 250  | 0.2036          | 0.9381   |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 1.12.1+cu116
+- Datasets 2.4.0
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "moreover18/vit-base-patch16-224-in21k-YB",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "friends",
+    "1": "other"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "friends": "0",
+    "other": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.1"
+}

model.safetensors

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+size 343223968

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "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/Jan25_09-58-30_n4u8wse9wj/events.out.tfevents.1706176718.n4u8wse9wj.485.1

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+size 7150

training_args.bin

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