End of training

README.md

@@ -0,0 +1,125 @@
+---
+license: apache-2.0
+base_model: facebook/deit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: hushem_40x_deit_base_sgd_0001_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: 0.46511627906976744
+---
+
+<!-- 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. -->
+
+# hushem_40x_deit_base_sgd_0001_fold3
+
+This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2710
+- Accuracy: 0.4651
+
+## 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: 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.3787        | 1.0   | 217   | 1.4567          | 0.2326   |
+| 1.3411        | 2.0   | 434   | 1.4476          | 0.2326   |
+| 1.3346        | 3.0   | 651   | 1.4398          | 0.2326   |
+| 1.3522        | 4.0   | 868   | 1.4325          | 0.2558   |
+| 1.295         | 5.0   | 1085  | 1.4257          | 0.2558   |
+| 1.3027        | 6.0   | 1302  | 1.4192          | 0.2791   |
+| 1.2908        | 7.0   | 1519  | 1.4129          | 0.3023   |
+| 1.2684        | 8.0   | 1736  | 1.4068          | 0.3023   |
+| 1.2597        | 9.0   | 1953  | 1.4007          | 0.3023   |
+| 1.2504        | 10.0  | 2170  | 1.3948          | 0.3023   |
+| 1.2181        | 11.0  | 2387  | 1.3891          | 0.3023   |
+| 1.2286        | 12.0  | 2604  | 1.3834          | 0.3023   |
+| 1.229         | 13.0  | 2821  | 1.3779          | 0.3023   |
+| 1.2118        | 14.0  | 3038  | 1.3725          | 0.3256   |
+| 1.1939        | 15.0  | 3255  | 1.3673          | 0.3256   |
+| 1.2054        | 16.0  | 3472  | 1.3622          | 0.3488   |
+| 1.1836        | 17.0  | 3689  | 1.3572          | 0.3721   |
+| 1.1754        | 18.0  | 3906  | 1.3524          | 0.3721   |
+| 1.1872        | 19.0  | 4123  | 1.3477          | 0.3721   |
+| 1.1652        | 20.0  | 4340  | 1.3431          | 0.3721   |
+| 1.1396        | 21.0  | 4557  | 1.3387          | 0.3721   |
+| 1.1373        | 22.0  | 4774  | 1.3343          | 0.3953   |
+| 1.1381        | 23.0  | 4991  | 1.3300          | 0.3953   |
+| 1.101         | 24.0  | 5208  | 1.3259          | 0.3953   |
+| 1.1305        | 25.0  | 5425  | 1.3219          | 0.4186   |
+| 1.1458        | 26.0  | 5642  | 1.3181          | 0.4186   |
+| 1.0969        | 27.0  | 5859  | 1.3143          | 0.4186   |
+| 1.092         | 28.0  | 6076  | 1.3106          | 0.4186   |
+| 1.0422        | 29.0  | 6293  | 1.3071          | 0.4186   |
+| 1.07          | 30.0  | 6510  | 1.3037          | 0.4419   |
+| 1.097         | 31.0  | 6727  | 1.3005          | 0.4419   |
+| 1.1048        | 32.0  | 6944  | 1.2974          | 0.4419   |
+| 1.0657        | 33.0  | 7161  | 1.2945          | 0.4419   |
+| 1.0841        | 34.0  | 7378  | 1.2918          | 0.4419   |
+| 1.0697        | 35.0  | 7595  | 1.2891          | 0.4419   |
+| 1.0586        | 36.0  | 7812  | 1.2867          | 0.4419   |
+| 1.0346        | 37.0  | 8029  | 1.2845          | 0.4419   |
+| 1.0364        | 38.0  | 8246  | 1.2824          | 0.4651   |
+| 1.055         | 39.0  | 8463  | 1.2804          | 0.4651   |
+| 1.0391        | 40.0  | 8680  | 1.2787          | 0.4651   |
+| 1.0408        | 41.0  | 8897  | 1.2771          | 0.4651   |
+| 1.0911        | 42.0  | 9114  | 1.2757          | 0.4651   |
+| 1.042         | 43.0  | 9331  | 1.2745          | 0.4651   |
+| 1.0562        | 44.0  | 9548  | 1.2735          | 0.4651   |
+| 1.0444        | 45.0  | 9765  | 1.2727          | 0.4651   |
+| 1.0551        | 46.0  | 9982  | 1.2720          | 0.4651   |
+| 1.0314        | 47.0  | 10199 | 1.2715          | 0.4651   |
+| 1.067         | 48.0  | 10416 | 1.2712          | 0.4651   |
+| 1.0573        | 49.0  | 10633 | 1.2710          | 0.4651   |
+| 1.0022        | 50.0  | 10850 | 1.2710          | 0.4651   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.0+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:f19fe399e4f062ca189b7b34600d9d001d956e1351aa8c62d47ae2c848b581c2
+oid sha256:aeb66968218afa7338bdca071b8cfdd40fff517ee690462d4fefd2421199a5ce
 size 343275306