End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/deit-tiny-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Boya1_Adamax_1-e4_20Epoch_Deit-tiny-patch16_fold3
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5695346320346321
+---
+
+<!-- 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. -->
+
+# Boya1_Adamax_1-e4_20Epoch_Deit-tiny-patch16_fold3
+
+This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5040
+- Accuracy: 0.5695
+
+## 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: 0.0001
+- 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_ratio: 0.1
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.3705        | 1.0   | 923   | 1.4925          | 0.4968   |
+| 1.1741        | 2.0   | 1846  | 1.3247          | 0.5411   |
+| 1.1089        | 3.0   | 2769  | 1.2524          | 0.5777   |
+| 0.8912        | 4.0   | 3692  | 1.2699          | 0.5712   |
+| 0.6118        | 5.0   | 4615  | 1.3695          | 0.5725   |
+| 0.4514        | 6.0   | 5538  | 1.5162          | 0.5690   |
+| 0.3342        | 7.0   | 6461  | 1.6732          | 0.5641   |
+| 0.1558        | 8.0   | 7384  | 1.8402          | 0.5668   |
+| 0.139         | 9.0   | 8307  | 2.0769          | 0.5676   |
+| 0.0399        | 10.0  | 9230  | 2.4530          | 0.5582   |
+| 0.0251        | 11.0  | 10153 | 2.6195          | 0.5630   |
+| 0.0197        | 12.0  | 11076 | 2.8679          | 0.5598   |
+| 0.0022        | 13.0  | 11999 | 3.0450          | 0.5593   |
+| 0.0102        | 14.0  | 12922 | 3.1628          | 0.5614   |
+| 0.0226        | 15.0  | 13845 | 3.2622          | 0.5655   |
+| 0.0004        | 16.0  | 14768 | 3.3164          | 0.5668   |
+| 0.0003        | 17.0  | 15691 | 3.3759          | 0.5703   |
+| 0.0002        | 18.0  | 16614 | 3.4406          | 0.5687   |
+| 0.0002        | 19.0  | 17537 | 3.4891          | 0.5695   |
+| 0.0004        | 20.0  | 18460 | 3.5040          | 0.5695   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.1.0
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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