End of training

README.md

@@ -0,0 +1,118 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- medmnist-v2
+metrics:
+- accuracy
+- f1
+model-index:
+- name: ViT_breastmnist_std_15
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: medmnist-v2
+      type: medmnist-v2
+      config: breastmnist
+      split: validation
+      args: breastmnist
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7884615384615384
+    - name: F1
+      type: f1
+      value: 0.6551215917464996
+---
+
+<!-- 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. -->
+
+# ViT_breastmnist_std_15
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the medmnist-v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4504
+- Accuracy: 0.7885
+- F1: 0.6551
+
+## 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: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.4628        | 0.2597 | 20   | 0.4724          | 0.7821   | 0.5951 |
+| 0.3645        | 0.5195 | 40   | 0.3994          | 0.8590   | 0.7786 |
+| 0.2744        | 0.7792 | 60   | 0.4429          | 0.8462   | 0.7524 |
+| 0.3004        | 1.0390 | 80   | 0.3893          | 0.8590   | 0.7886 |
+| 0.2153        | 1.2987 | 100  | 0.4120          | 0.8462   | 0.7641 |
+| 0.1593        | 1.5584 | 120  | 0.4542          | 0.8590   | 0.7786 |
+| 0.1189        | 1.8182 | 140  | 0.3911          | 0.8718   | 0.8120 |
+| 0.1139        | 2.0779 | 160  | 0.4154          | 0.8590   | 0.7886 |
+| 0.0707        | 2.3377 | 180  | 0.4517          | 0.8590   | 0.7886 |
+| 0.0482        | 2.5974 | 200  | 0.4824          | 0.8718   | 0.8034 |
+| 0.0499        | 2.8571 | 220  | 0.4408          | 0.8462   | 0.7743 |
+| 0.0195        | 3.1169 | 240  | 0.4874          | 0.8462   | 0.7743 |
+| 0.0146        | 3.3766 | 260  | 0.4723          | 0.8718   | 0.8120 |
+| 0.0141        | 3.6364 | 280  | 0.5117          | 0.8590   | 0.7886 |
+| 0.017         | 3.8961 | 300  | 0.6032          | 0.8462   | 0.7743 |
+| 0.0052        | 4.1558 | 320  | 0.5948          | 0.8590   | 0.7886 |
+| 0.005         | 4.4156 | 340  | 0.5897          | 0.8590   | 0.7886 |
+| 0.0039        | 4.6753 | 360  | 0.5729          | 0.8462   | 0.7743 |
+| 0.0088        | 4.9351 | 380  | 0.5623          | 0.8462   | 0.7743 |
+| 0.0104        | 5.1948 | 400  | 0.4814          | 0.8718   | 0.8194 |
+| 0.0012        | 5.4545 | 420  | 0.5039          | 0.8718   | 0.8194 |
+| 0.001         | 5.7143 | 440  | 0.5268          | 0.8718   | 0.8120 |
+| 0.001         | 5.9740 | 460  | 0.5435          | 0.8590   | 0.7886 |
+| 0.0007        | 6.2338 | 480  | 0.5435          | 0.8462   | 0.7743 |
+| 0.0007        | 6.4935 | 500  | 0.5373          | 0.8590   | 0.7974 |
+| 0.0006        | 6.7532 | 520  | 0.5745          | 0.8590   | 0.7886 |
+| 0.0007        | 7.0130 | 540  | 0.5674          | 0.8462   | 0.7743 |
+| 0.0004        | 7.2727 | 560  | 0.5826          | 0.8462   | 0.7743 |
+| 0.0006        | 7.5325 | 580  | 0.5663          | 0.8462   | 0.7743 |
+| 0.0006        | 7.7922 | 600  | 0.5751          | 0.8462   | 0.7743 |
+| 0.0005        | 8.0519 | 620  | 0.5851          | 0.8462   | 0.7743 |
+| 0.0004        | 8.3117 | 640  | 0.5782          | 0.8462   | 0.7743 |
+| 0.0004        | 8.5714 | 660  | 0.5875          | 0.8462   | 0.7743 |
+| 0.0004        | 8.8312 | 680  | 0.5939          | 0.8462   | 0.7743 |
+| 0.0004        | 9.0909 | 700  | 0.5934          | 0.8462   | 0.7743 |
+| 0.0004        | 9.3506 | 720  | 0.5925          | 0.8462   | 0.7743 |
+| 0.0004        | 9.6104 | 740  | 0.5930          | 0.8462   | 0.7743 |
+| 0.0004        | 9.8701 | 760  | 0.5945          | 0.8462   | 0.7743 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "malignant",
+    "1": "normal, benign"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "malignant": "0",
+    "normal, benign": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27a4000f1dd770319ae1e08663db3e846904a4fd545af2909a0978e2efaa7059
+size 343223968

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/Nov09_16-06-15_e4df77beffc3/events.out.tfevents.1731168377.e4df77beffc3.30.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8147e9b5617b183aa9b076e14c2d0286d7af6ea4334def9a4171e2c7e70d33b0
+size 35513

runs/Nov09_16-06-15_e4df77beffc3/events.out.tfevents.1731169524.e4df77beffc3.30.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:993d9d5c394dab9cf64b7d2d244c3dbb9be89f9f3376c7fb5546af7a06c71dbf
+size 457

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b70a96cb420d4e917cb068642b5d5012ab4e9159f7b52f3aa5952f3c0b8119fc
+size 5240