End of training

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: rsna_intracranial_hemorrhage_detection
+  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: 0.8585666824869482
+---
+
+<!-- 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. -->
+
+# rsna_intracranial_hemorrhage_detection
+
+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: 0.4344
+- Accuracy: 0.8586
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6034        | 1.0   | 132  | 0.5659          | 0.8315   |
+| 0.4903        | 2.0   | 265  | 0.4868          | 0.8472   |
+| 0.5305        | 3.0   | 397  | 0.4742          | 0.8538   |
+| 0.5424        | 4.0   | 530  | 0.4650          | 0.8552   |
+| 0.4289        | 5.0   | 662  | 0.4508          | 0.8552   |
+| 0.4275        | 6.0   | 795  | 0.4394          | 0.8590   |
+| 0.4075        | 7.0   | 927  | 0.4767          | 0.8434   |
+| 0.3649        | 8.0   | 1060 | 0.4462          | 0.8595   |
+| 0.3934        | 9.0   | 1192 | 0.4323          | 0.8605   |
+| 0.3436        | 9.96  | 1320 | 0.4344          | 0.8586   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:82ddea6c97d5dadb9a137deaeb83f62a7ae89d8e18216709323aa696ad40ae49
+oid sha256:887a2f4207d060027697fb40e50204e1f0b635562b22f26c7f320c4dea773743
 size 343281005