End of training

README.md

@@ -0,0 +1,113 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: face_predict
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train[:800]
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5625
+---
+
+<!-- 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. -->
+
+# face_predict
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2322
+- Accuracy: 0.5625
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 6
+- total_train_batch_size: 192
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.9   | 3    | 2.0747          | 0.1187   |
+| No log        | 1.8   | 6    | 2.0728          | 0.1375   |
+| 2.0713        | 3.0   | 10   | 2.0449          | 0.2      |
+| 2.0713        | 3.9   | 13   | 2.0225          | 0.2562   |
+| 2.0713        | 4.8   | 16   | 1.9779          | 0.2938   |
+| 1.9642        | 6.0   | 20   | 1.8985          | 0.3688   |
+| 1.9642        | 6.9   | 23   | 1.8440          | 0.4188   |
+| 1.9642        | 7.8   | 26   | 1.7593          | 0.4437   |
+| 1.7442        | 9.0   | 30   | 1.6551          | 0.4875   |
+| 1.7442        | 9.9   | 33   | 1.5996          | 0.4875   |
+| 1.7442        | 10.8  | 36   | 1.5324          | 0.5188   |
+| 1.5402        | 12.0  | 40   | 1.5053          | 0.525    |
+| 1.5402        | 12.9  | 43   | 1.4543          | 0.5188   |
+| 1.5402        | 13.8  | 46   | 1.4335          | 0.5188   |
+| 1.4064        | 15.0  | 50   | 1.3768          | 0.5938   |
+| 1.4064        | 15.9  | 53   | 1.3583          | 0.6      |
+| 1.4064        | 16.8  | 56   | 1.3464          | 0.575    |
+| 1.2844        | 18.0  | 60   | 1.3245          | 0.6125   |
+| 1.2844        | 18.9  | 63   | 1.3265          | 0.5563   |
+| 1.2844        | 19.8  | 66   | 1.2899          | 0.5813   |
+| 1.1834        | 21.0  | 70   | 1.2863          | 0.5625   |
+| 1.1834        | 21.9  | 73   | 1.2939          | 0.5687   |
+| 1.1834        | 22.8  | 76   | 1.2508          | 0.5938   |
+| 1.1046        | 24.0  | 80   | 1.2604          | 0.5563   |
+| 1.1046        | 24.9  | 83   | 1.2344          | 0.6062   |
+| 1.1046        | 25.8  | 86   | 1.2124          | 0.6125   |
+| 1.0379        | 27.0  | 90   | 1.2053          | 0.6312   |
+| 1.0379        | 27.9  | 93   | 1.3067          | 0.5375   |
+| 1.0379        | 28.8  | 96   | 1.2247          | 0.5875   |
+| 1.0064        | 30.0  | 100  | 1.2060          | 0.625    |
+| 1.0064        | 30.9  | 103  | 1.2308          | 0.575    |
+| 1.0064        | 31.8  | 106  | 1.1936          | 0.6188   |
+| 0.9611        | 33.0  | 110  | 1.2257          | 0.5938   |
+| 0.9611        | 33.9  | 113  | 1.2302          | 0.5563   |
+| 0.9611        | 34.8  | 116  | 1.2172          | 0.6      |
+| 0.9351        | 36.0  | 120  | 1.2355          | 0.55     |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7456d7f2c20db71e62c2822ba2dcd6b467ac2e1f9db82ec694edbd4f4866084d
+oid sha256:597e0a67f241ba02abdde83a043db5d8fce57c2781640ee19a1175925cca5cb6
 size 343242432

runs/Jul02_08-04-30_227d05fadcc8/events.out.tfevents.1719907501.227d05fadcc8.1434.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5996a8c51393592a98cb6beec4082c5e3786887837b71238ca7500d7d2f6f37e
-size 18914
+oid sha256:6686b1b390c221b7cc709df0a5633699e09527842ed8ab88446d2dd395ede2d8
+size 19262

runs/Jul02_08-04-30_227d05fadcc8/events.out.tfevents.1719909164.227d05fadcc8.1434.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86b7c530e25ad77e2a4a50990e9de7930216ccda404f06e2b93564dece9d2fcf
+size 405