heado

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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 face dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6752
+- Loss: 0.6941
 
 ## Model description
 
@@ -38,27 +38,47 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 128
+- eval_batch_size: 128
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 30
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 38   | 1.0114          |
-| No log        | 2.0   | 76   | 0.8914          |
-| No log        | 3.0   | 114  | 0.7663          |
-| No log        | 4.0   | 152  | 0.6776          |
-| No log        | 5.0   | 190  | 0.6646          |
-| No log        | 6.0   | 228  | 0.6212          |
-| No log        | 7.0   | 266  | 0.6771          |
-| No log        | 8.0   | 304  | 0.6733          |
-| No log        | 9.0   | 342  | 0.6735          |
-| No log        | 10.0  | 380  | 0.6752          |
+| No log        | 1.0   | 10   | 1.0691          |
+| No log        | 2.0   | 20   | 1.0378          |
+| No log        | 3.0   | 30   | 0.9958          |
+| No log        | 4.0   | 40   | 0.9437          |
+| No log        | 5.0   | 50   | 0.8915          |
+| No log        | 6.0   | 60   | 0.8396          |
+| No log        | 7.0   | 70   | 0.7950          |
+| No log        | 8.0   | 80   | 0.7602          |
+| No log        | 9.0   | 90   | 0.7246          |
+| No log        | 10.0  | 100  | 0.7009          |
+| No log        | 11.0  | 110  | 0.6882          |
+| No log        | 12.0  | 120  | 0.6700          |
+| No log        | 13.0  | 130  | 0.6629          |
+| No log        | 14.0  | 140  | 0.6646          |
+| No log        | 15.0  | 150  | 0.6558          |
+| No log        | 16.0  | 160  | 0.6679          |
+| No log        | 17.0  | 170  | 0.6637          |
+| No log        | 18.0  | 180  | 0.6689          |
+| No log        | 19.0  | 190  | 0.6690          |
+| No log        | 20.0  | 200  | 0.6744          |
+| No log        | 21.0  | 210  | 0.6787          |
+| No log        | 22.0  | 220  | 0.6823          |
+| No log        | 23.0  | 230  | 0.6832          |
+| No log        | 24.0  | 240  | 0.6866          |
+| No log        | 25.0  | 250  | 0.6883          |
+| No log        | 26.0  | 260  | 0.6912          |
+| No log        | 27.0  | 270  | 0.6923          |
+| No log        | 28.0  | 280  | 0.6935          |
+| No log        | 29.0  | 290  | 0.6939          |
+| No log        | 30.0  | 300  | 0.6941          |
 
 
 ### Framework versions

model.safetensors

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runs/Sep03_02-49-32_30afb1c685e3/events.out.tfevents.1725331780.30afb1c685e3.1540.0

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training_args.bin

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