End of training

README.md

@@ -0,0 +1,125 @@
+---
+license: apache-2.0
+base_model: microsoft/beit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: smids_3x_beit_base_rms_0001_fold4
+  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: 0.81
+---
+
+<!-- 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_beit_base_rms_0001_fold4
+
+This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8372
+- Accuracy: 0.81
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.787         | 1.0   | 225   | 0.7726          | 0.5917   |
+| 0.7085        | 2.0   | 450   | 0.7059          | 0.6467   |
+| 0.6145        | 3.0   | 675   | 0.6591          | 0.6983   |
+| 0.6005        | 4.0   | 900   | 0.5422          | 0.7817   |
+| 0.572         | 5.0   | 1125  | 0.5970          | 0.7567   |
+| 0.4372        | 6.0   | 1350  | 0.5610          | 0.785    |
+| 0.3918        | 7.0   | 1575  | 0.5957          | 0.7917   |
+| 0.4058        | 8.0   | 1800  | 0.5296          | 0.7933   |
+| 0.3971        | 9.0   | 2025  | 0.6041          | 0.7833   |
+| 0.3274        | 10.0  | 2250  | 0.5347          | 0.8      |
+| 0.2417        | 11.0  | 2475  | 0.6768          | 0.785    |
+| 0.1989        | 12.0  | 2700  | 0.6501          | 0.8133   |
+| 0.2222        | 13.0  | 2925  | 0.6337          | 0.7933   |
+| 0.1654        | 14.0  | 3150  | 0.7865          | 0.7867   |
+| 0.1241        | 15.0  | 3375  | 0.7840          | 0.8033   |
+| 0.1208        | 16.0  | 3600  | 0.9856          | 0.795    |
+| 0.0877        | 17.0  | 3825  | 1.0442          | 0.7767   |
+| 0.1165        | 18.0  | 4050  | 0.9465          | 0.8117   |
+| 0.1328        | 19.0  | 4275  | 0.8299          | 0.81     |
+| 0.0427        | 20.0  | 4500  | 1.1880          | 0.7917   |
+| 0.0826        | 21.0  | 4725  | 1.0665          | 0.8083   |
+| 0.0679        | 22.0  | 4950  | 1.2201          | 0.7917   |
+| 0.1018        | 23.0  | 5175  | 1.1824          | 0.8      |
+| 0.0255        | 24.0  | 5400  | 1.2359          | 0.8117   |
+| 0.0956        | 25.0  | 5625  | 1.2156          | 0.805    |
+| 0.0725        | 26.0  | 5850  | 1.3671          | 0.81     |
+| 0.0849        | 27.0  | 6075  | 1.3399          | 0.7917   |
+| 0.068         | 28.0  | 6300  | 1.3279          | 0.8117   |
+| 0.0512        | 29.0  | 6525  | 1.1460          | 0.82     |
+| 0.0439        | 30.0  | 6750  | 1.4730          | 0.8017   |
+| 0.0414        | 31.0  | 6975  | 1.2224          | 0.8067   |
+| 0.0174        | 32.0  | 7200  | 1.6967          | 0.7983   |
+| 0.0407        | 33.0  | 7425  | 1.5401          | 0.7983   |
+| 0.0316        | 34.0  | 7650  | 1.2844          | 0.8017   |
+| 0.0008        | 35.0  | 7875  | 1.7477          | 0.805    |
+| 0.0104        | 36.0  | 8100  | 1.5173          | 0.8167   |
+| 0.0005        | 37.0  | 8325  | 1.6340          | 0.7967   |
+| 0.0286        | 38.0  | 8550  | 1.4323          | 0.7983   |
+| 0.0292        | 39.0  | 8775  | 1.4953          | 0.805    |
+| 0.0108        | 40.0  | 9000  | 1.6930          | 0.8183   |
+| 0.022         | 41.0  | 9225  | 1.7083          | 0.8033   |
+| 0.0101        | 42.0  | 9450  | 1.8030          | 0.8083   |
+| 0.0122        | 43.0  | 9675  | 1.8925          | 0.8133   |
+| 0.0071        | 44.0  | 9900  | 1.7250          | 0.815    |
+| 0.0004        | 45.0  | 10125 | 1.7937          | 0.8017   |
+| 0.0008        | 46.0  | 10350 | 1.9056          | 0.8067   |
+| 0.0003        | 47.0  | 10575 | 1.8311          | 0.8083   |
+| 0.0001        | 48.0  | 10800 | 1.9401          | 0.8033   |
+| 0.0001        | 49.0  | 11025 | 1.8499          | 0.8083   |
+| 0.0           | 50.0  | 11250 | 1.8372          | 0.81     |
+
+
+### 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 sha256:005f6f08eae9725d93559cfad3473b9aa4e2b395b990d90f97c02670a458950b
+oid sha256:4467a9435dfb22d9088d63155e991dac4a01142741e0e1811e87f2c77f029007
 size 343133766