End of training

README.md

@@ -0,0 +1,125 @@
+---
+license: apache-2.0
+base_model: facebook/deit-tiny-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: smids_3x_deit_tiny_sgd_00001_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: 0.40266222961730447
+---
+
+<!-- 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_3x_deit_tiny_sgd_00001_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: 1.1011
+- Accuracy: 0.4027
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.2975        | 1.0   | 225   | 1.3313          | 0.3461   |
+| 1.3535        | 2.0   | 450   | 1.3098          | 0.3411   |
+| 1.364         | 3.0   | 675   | 1.2899          | 0.3411   |
+| 1.2928        | 4.0   | 900   | 1.2721          | 0.3411   |
+| 1.2627        | 5.0   | 1125  | 1.2559          | 0.3378   |
+| 1.2073        | 6.0   | 1350  | 1.2414          | 0.3461   |
+| 1.3184        | 7.0   | 1575  | 1.2280          | 0.3527   |
+| 1.2058        | 8.0   | 1800  | 1.2162          | 0.3527   |
+| 1.2305        | 9.0   | 2025  | 1.2057          | 0.3511   |
+| 1.2453        | 10.0  | 2250  | 1.1960          | 0.3478   |
+| 1.1822        | 11.0  | 2475  | 1.1875          | 0.3461   |
+| 1.1856        | 12.0  | 2700  | 1.1797          | 0.3561   |
+| 1.1979        | 13.0  | 2925  | 1.1728          | 0.3661   |
+| 1.1589        | 14.0  | 3150  | 1.1665          | 0.3644   |
+| 1.1625        | 15.0  | 3375  | 1.1608          | 0.3677   |
+| 1.1751        | 16.0  | 3600  | 1.1557          | 0.3744   |
+| 1.1846        | 17.0  | 3825  | 1.1510          | 0.3760   |
+| 1.1541        | 18.0  | 4050  | 1.1466          | 0.3744   |
+| 1.1807        | 19.0  | 4275  | 1.1426          | 0.3727   |
+| 1.1744        | 20.0  | 4500  | 1.1389          | 0.3710   |
+| 1.1694        | 21.0  | 4725  | 1.1356          | 0.3710   |
+| 1.1819        | 22.0  | 4950  | 1.1325          | 0.3727   |
+| 1.1574        | 23.0  | 5175  | 1.1297          | 0.3794   |
+| 1.159         | 24.0  | 5400  | 1.1270          | 0.3760   |
+| 1.1656        | 25.0  | 5625  | 1.1246          | 0.3760   |
+| 1.1491        | 26.0  | 5850  | 1.1224          | 0.3777   |
+| 1.1877        | 27.0  | 6075  | 1.1202          | 0.3760   |
+| 1.1245        | 28.0  | 6300  | 1.1183          | 0.3810   |
+| 1.1465        | 29.0  | 6525  | 1.1164          | 0.3877   |
+| 1.0989        | 30.0  | 6750  | 1.1147          | 0.3910   |
+| 1.1019        | 31.0  | 6975  | 1.1132          | 0.3927   |
+| 1.1115        | 32.0  | 7200  | 1.1117          | 0.3927   |
+| 1.1193        | 33.0  | 7425  | 1.1103          | 0.3943   |
+| 1.1111        | 34.0  | 7650  | 1.1091          | 0.3960   |
+| 1.1163        | 35.0  | 7875  | 1.1080          | 0.3977   |
+| 1.1433        | 36.0  | 8100  | 1.1069          | 0.3993   |
+| 1.0817        | 37.0  | 8325  | 1.1060          | 0.3993   |
+| 1.1389        | 38.0  | 8550  | 1.1052          | 0.3993   |
+| 1.1196        | 39.0  | 8775  | 1.1044          | 0.4027   |
+| 1.1051        | 40.0  | 9000  | 1.1037          | 0.4043   |
+| 1.1003        | 41.0  | 9225  | 1.1031          | 0.4027   |
+| 1.1259        | 42.0  | 9450  | 1.1026          | 0.4027   |
+| 1.1127        | 43.0  | 9675  | 1.1022          | 0.4027   |
+| 1.1252        | 44.0  | 9900  | 1.1018          | 0.4010   |
+| 1.0665        | 45.0  | 10125 | 1.1016          | 0.4027   |
+| 1.1219        | 46.0  | 10350 | 1.1014          | 0.4027   |
+| 1.1281        | 47.0  | 10575 | 1.1012          | 0.4027   |
+| 1.0847        | 48.0  | 10800 | 1.1011          | 0.4027   |
+| 1.1349        | 49.0  | 11025 | 1.1011          | 0.4027   |
+| 1.1316        | 50.0  | 11250 | 1.1011          | 0.4027   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.12.0
+- Tokenizers 0.13.2

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:78d64d22b3193f6d11de701dd4395324eb50ec73cf6cf884ca7096a273c783f2
+oid sha256:2e6cdabcd26449da5aa4ef42437a7bbc1d408905ecb536b3cca5be3cb4af3bb5
 size 22167850