huyhuy12302/black

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Falconsai/nsfw_image_detection
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: model
+  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: 1.0
+---
+
+<!-- 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. -->
+
+# model
+
+This model is a fine-tuned version of [Falconsai/nsfw_image_detection](https://huggingface.co/Falconsai/nsfw_image_detection) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0001
+- 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7818        | 1.0   | 313  | 0.0032          | 0.9975   |
+| 0.0103        | 2.0   | 626  | 0.0247          | 0.9950   |
+| 0.0056        | 3.0   | 939  | 0.0074          | 0.9975   |
+| 0.0002        | 4.0   | 1252 | 0.0002          | 1.0      |
+| 0.0001        | 5.0   | 1565 | 0.0001          | 1.0      |
+| 0.0001        | 6.0   | 1878 | 0.0001          | 1.0      |
+| 0.0001        | 7.0   | 2191 | 0.0001          | 1.0      |
+| 0.0001        | 8.0   | 2504 | 0.0001          | 1.0      |
+| 0.0001        | 9.0   | 2817 | 0.0001          | 1.0      |
+| 0.0001        | 10.0  | 3130 | 0.0001          | 1.0      |
+| 0.0001        | 11.0  | 3443 | 0.0001          | 1.0      |
+| 0.0001        | 12.0  | 3756 | 0.0001          | 1.0      |
+| 0.0001        | 13.0  | 4069 | 0.0001          | 1.0      |
+| 0.0001        | 14.0  | 4382 | 0.0001          | 1.0      |
+| 0.0001        | 15.0  | 4695 | 0.0001          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

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+{
+  "_name_or_path": "Falconsai/nsfw_image_detection",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "fake",
+    "1": "real"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "fake": "0",
+    "real": "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": "4.45.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b2731defaaa8a3fe1d1db02c202ef74e42214ee919ed0a2dfc2750d5637c0668
+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
+  }
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
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+size 5176