End of training

README.md

@@ -0,0 +1,93 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: finetuned-bin
+  results: []
+---
+
+<!-- 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. -->
+
+# finetuned-bin
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7526
+- Accuracy: 0.0582
+- F1: 0.0356
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 2.7759        | 0.13  | 100  | 2.7526          | 0.0582   | 0.0356 |
+| 2.7726        | 0.25  | 200  | 2.7794          | 0.0627   | 0.0208 |
+| 2.7741        | 0.38  | 300  | 2.7754          | 0.0853   | 0.0450 |
+| 2.775         | 0.5   | 400  | 2.7739          | 0.0818   | 0.0357 |
+| 2.7738        | 0.63  | 500  | 2.7691          | 0.1204   | 0.0434 |
+| 2.7737        | 0.75  | 600  | 2.7744          | 0.0573   | 0.0349 |
+| 2.7732        | 0.88  | 700  | 2.7759          | 0.0484   | 0.0244 |
+| 2.7746        | 1.0   | 800  | 2.7592          | 0.0942   | 0.0434 |
+| 2.7737        | 1.13  | 900  | 2.7727          | 0.1098   | 0.0541 |
+| 2.7715        | 1.25  | 1000 | 2.7719          | 0.0893   | 0.0414 |
+| 2.7742        | 1.38  | 1100 | 2.7985          | 0.0      | 0.0    |
+| 2.7715        | 1.51  | 1200 | 2.7729          | 0.024    | 0.0158 |
+| 2.7698        | 1.63  | 1300 | 2.7711          | 0.0649   | 0.0344 |
+| 2.7717        | 1.76  | 1400 | 2.7709          | 0.0858   | 0.0387 |
+| 2.7708        | 1.88  | 1500 | 2.7726          | 0.0587   | 0.0368 |
+| 2.7736        | 2.01  | 1600 | 2.8029          | 0.0      | 0.0    |
+| 2.7726        | 2.13  | 1700 | 2.7743          | 0.088    | 0.0327 |
+| 2.7734        | 2.26  | 1800 | 2.7734          | 0.0284   | 0.0163 |
+| 2.7726        | 2.38  | 1900 | 2.7731          | 0.0578   | 0.0330 |
+| 2.7733        | 2.51  | 2000 | 2.7711          | 0.1098   | 0.0498 |
+| 2.7729        | 2.63  | 2100 | 2.7769          | 0.0018   | 0.0019 |
+| 2.773         | 2.76  | 2200 | 2.7631          | 0.1076   | 0.0319 |
+| 2.7743        | 2.89  | 2300 | 2.7768          | 0.0      | 0.0    |
+| 2.7736        | 3.01  | 2400 | 2.7883          | 0.0      | 0.0    |
+| 2.7726        | 3.14  | 2500 | 2.7727          | 0.104    | 0.0495 |
+| 2.7727        | 3.26  | 2600 | 2.7694          | 0.0969   | 0.0569 |
+| 2.7733        | 3.39  | 2700 | 2.7861          | 0.0004   | 0.0008 |
+| 2.7739        | 3.51  | 2800 | 2.7727          | 0.1022   | 0.0575 |
+| 2.7734        | 3.64  | 2900 | 2.7728          | 0.112    | 0.0478 |
+| 2.7732        | 3.76  | 3000 | 2.7729          | 0.1236   | 0.0567 |
+| 2.7736        | 3.89  | 3100 | 2.7727          | 0.1218   | 0.0587 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f353e97fb8bdb6d7b8541009c507871647ff5d706a8aa92c903e6adeab8ed587
+size 473840332

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Mar31_00-52-51_aa230614b055/events.out.tfevents.1711846410.aa230614b055.2591.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e317c295ead252790b93104a7ed25ba35b211ff40eedc35aefb6a7ab8ee4afe
+size 1481490

runs/Mar31_00-58-12_aa230614b055/events.out.tfevents.1711846692.aa230614b055.4635.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c54c8ccaa62484f21df5ac073764035f4dc1418a2b7ebc80c112776324643960
+size 1555273

runs/Mar31_00-58-12_aa230614b055/events.out.tfevents.1711849226.aa230614b055.4635.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49beaff2089503e4fdb24bac7c3154350df210580199b83a48bcbc170257030a
+size 457

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54ca4df96671f45e6109f6545a7869769e496649eafc23a282a284f8cfc39c35
+size 4856