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_SGD_1-e3_20Epoch_Deit-tiny-patch16_fold2
+  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: 0.4181081081081081
+---
+
+<!-- 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_SGD_1-e3_20Epoch_Deit-tiny-patch16_fold2
+
+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: 1.7360
+- Accuracy: 0.4181
+
+## 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: 0.001
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 2.448         | 1.0   | 923   | 2.4582          | 0.2016   |
+| 2.3582        | 2.0   | 1846  | 2.3021          | 0.2376   |
+| 2.2617        | 3.0   | 2769  | 2.1666          | 0.2897   |
+| 2.0757        | 4.0   | 3692  | 2.0662          | 0.3235   |
+| 2.008         | 5.0   | 4615  | 1.9944          | 0.3449   |
+| 2.0395        | 6.0   | 5538  | 1.9375          | 0.3595   |
+| 1.9087        | 7.0   | 6461  | 1.8952          | 0.3749   |
+| 1.9463        | 8.0   | 7384  | 1.8644          | 0.3805   |
+| 1.8879        | 9.0   | 8307  | 1.8376          | 0.3908   |
+| 1.7446        | 10.0  | 9230  | 1.8140          | 0.3938   |
+| 1.7618        | 11.0  | 10153 | 1.7964          | 0.3965   |
+| 1.7616        | 12.0  | 11076 | 1.7817          | 0.4051   |
+| 1.7296        | 13.0  | 11999 | 1.7702          | 0.4057   |
+| 1.8498        | 14.0  | 12922 | 1.7608          | 0.4124   |
+| 1.7605        | 15.0  | 13845 | 1.7532          | 0.4111   |
+| 1.7119        | 16.0  | 14768 | 1.7468          | 0.4154   |
+| 1.7061        | 17.0  | 15691 | 1.7421          | 0.4157   |
+| 1.6731        | 18.0  | 16614 | 1.7387          | 0.4178   |
+| 1.5776        | 19.0  | 17537 | 1.7366          | 0.4189   |
+| 1.5522        | 20.0  | 18460 | 1.7360          | 0.4181   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.1.0
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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