Model save

README.md

@@ -0,0 +1,89 @@
+---
+base_model: openai/clip-vit-base-patch32
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: document-spoof-clip
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9857142857142858
+---
+
+<!-- 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. -->
+
+# document-spoof-clip
+
+This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0284
+- Accuracy: 0.9857
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| No log        | 0.8421  | 4    | 0.5341          | 0.8286   |
+| No log        | 1.8947  | 9    | 0.2827          | 0.8857   |
+| 0.6045        | 2.9474  | 14   | 0.4044          | 0.7857   |
+| 0.6045        | 4.0     | 19   | 0.2278          | 0.9143   |
+| 0.7684        | 4.8421  | 23   | 0.1033          | 0.9571   |
+| 0.7684        | 5.8947  | 28   | 0.1466          | 0.9714   |
+| 0.2323        | 6.9474  | 33   | 0.2253          | 0.9143   |
+| 0.2323        | 8.0     | 38   | 0.1232          | 0.9714   |
+| 0.0933        | 8.8421  | 42   | 0.0582          | 0.9714   |
+| 0.0933        | 9.8947  | 47   | 0.0609          | 0.9714   |
+| 0.067         | 10.9474 | 52   | 0.0453          | 0.9714   |
+| 0.067         | 12.0    | 57   | 0.0422          | 0.9857   |
+| 0.0835        | 12.6316 | 60   | 0.0284          | 0.9857   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

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