End of training

README.md

@@ -0,0 +1,125 @@
+---
+license: apache-2.0
+base_model: facebook/deit-small-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: smids_1x_deit_small_sgd_00001_fold5
+  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: 0.49833333333333335
+---
+
+<!-- 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. -->
+
+# smids_1x_deit_small_sgd_00001_fold5
+
+This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0422
+- Accuracy: 0.4983
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0773        | 1.0   | 75   | 1.0761          | 0.4267   |
+| 1.0923        | 2.0   | 150  | 1.0743          | 0.43     |
+| 1.0827        | 3.0   | 225  | 1.0725          | 0.4317   |
+| 1.0592        | 4.0   | 300  | 1.0709          | 0.4333   |
+| 1.0688        | 5.0   | 375  | 1.0693          | 0.43     |
+| 1.0722        | 6.0   | 450  | 1.0678          | 0.4317   |
+| 1.0759        | 7.0   | 525  | 1.0664          | 0.4317   |
+| 1.0583        | 8.0   | 600  | 1.0650          | 0.4333   |
+| 1.0565        | 9.0   | 675  | 1.0637          | 0.4383   |
+| 1.0589        | 10.0  | 750  | 1.0624          | 0.44     |
+| 1.0608        | 11.0  | 825  | 1.0612          | 0.4483   |
+| 1.0706        | 12.0  | 900  | 1.0600          | 0.4517   |
+| 1.0517        | 13.0  | 975  | 1.0589          | 0.4567   |
+| 1.0525        | 14.0  | 1050 | 1.0579          | 0.4567   |
+| 1.0257        | 15.0  | 1125 | 1.0569          | 0.4583   |
+| 1.0608        | 16.0  | 1200 | 1.0559          | 0.4617   |
+| 1.0548        | 17.0  | 1275 | 1.0550          | 0.46     |
+| 1.0482        | 18.0  | 1350 | 1.0541          | 0.4617   |
+| 1.0606        | 19.0  | 1425 | 1.0533          | 0.4633   |
+| 1.0832        | 20.0  | 1500 | 1.0524          | 0.4667   |
+| 1.0387        | 21.0  | 1575 | 1.0517          | 0.4717   |
+| 1.0524        | 22.0  | 1650 | 1.0510          | 0.4733   |
+| 1.043         | 23.0  | 1725 | 1.0503          | 0.4733   |
+| 1.0404        | 24.0  | 1800 | 1.0496          | 0.475    |
+| 1.0507        | 25.0  | 1875 | 1.0490          | 0.4767   |
+| 1.026         | 26.0  | 1950 | 1.0484          | 0.48     |
+| 1.0409        | 27.0  | 2025 | 1.0478          | 0.48     |
+| 1.0569        | 28.0  | 2100 | 1.0473          | 0.4867   |
+| 1.0416        | 29.0  | 2175 | 1.0468          | 0.4867   |
+| 1.0319        | 30.0  | 2250 | 1.0463          | 0.4867   |
+| 1.0368        | 31.0  | 2325 | 1.0459          | 0.49     |
+| 1.0498        | 32.0  | 2400 | 1.0455          | 0.4933   |
+| 1.0315        | 33.0  | 2475 | 1.0451          | 0.4933   |
+| 1.0281        | 34.0  | 2550 | 1.0447          | 0.49     |
+| 1.0165        | 35.0  | 2625 | 1.0444          | 0.4917   |
+| 1.0233        | 36.0  | 2700 | 1.0441          | 0.4933   |
+| 1.0217        | 37.0  | 2775 | 1.0438          | 0.4967   |
+| 1.0413        | 38.0  | 2850 | 1.0435          | 0.4967   |
+| 1.0419        | 39.0  | 2925 | 1.0433          | 0.4967   |
+| 1.0408        | 40.0  | 3000 | 1.0431          | 0.4967   |
+| 1.0269        | 41.0  | 3075 | 1.0429          | 0.4983   |
+| 1.0155        | 42.0  | 3150 | 1.0428          | 0.4983   |
+| 1.0319        | 43.0  | 3225 | 1.0426          | 0.4983   |
+| 1.015         | 44.0  | 3300 | 1.0425          | 0.4983   |
+| 1.0304        | 45.0  | 3375 | 1.0424          | 0.4983   |
+| 1.037         | 46.0  | 3450 | 1.0424          | 0.4983   |
+| 1.0444        | 47.0  | 3525 | 1.0423          | 0.4983   |
+| 1.0465        | 48.0  | 3600 | 1.0423          | 0.4983   |
+| 1.0337        | 49.0  | 3675 | 1.0423          | 0.4983   |
+| 1.0221        | 50.0  | 3750 | 1.0422          | 0.4983   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:28bf29593de58d2a4cf2099f8ae59403152970e63d2e97abff185d5c9ccae413
+oid sha256:0cb078b148249af508aeefa7d0dd96755097cc69af194b432217facea922f940
 size 86690164