End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: pre_CIDAUTv5
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9937888198757764
+---
+
+<!-- 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. -->
+
+# pre_CIDAUTv5
+
+This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0190
+- Accuracy: 0.9938
+
+## 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: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9524 | 5    | 0.6238          | 0.6460   |
+| 0.5991        | 1.9048 | 10   | 0.2637          | 0.9814   |
+| 0.5991        | 2.8571 | 15   | 0.0767          | 0.9938   |
+| 0.1441        | 4.0    | 21   | 0.0365          | 0.9876   |
+| 0.1441        | 4.9524 | 26   | 0.0399          | 0.9876   |
+| 0.075         | 5.9048 | 31   | 0.0216          | 0.9938   |
+| 0.075         | 6.8571 | 36   | 0.0126          | 1.0      |
+| 0.0581        | 7.6190 | 40   | 0.0190          | 0.9938   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

runs/Nov10_06-09-19_c8fa0f5c47a0/events.out.tfevents.1731218962.c8fa0f5c47a0.30.0

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