End of training

README.md

@@ -0,0 +1,68 @@
+---
+license: apache-2.0
+base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Train-Test-Augmentation-V44-beit-base
+  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. -->
+
+# Train-Test-Augmentation-V44-beit-base
+
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5318
+- Accuracy: 0.8142
+
+## 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.6031        | 0.9825 | 28   | 0.9362          | 0.7132   |
+| 0.5124        | 2.0    | 57   | 0.6364          | 0.7933   |
+| 0.2676        | 2.9825 | 85   | 0.5382          | 0.8125   |
+| 0.1263        | 4.0    | 114  | 0.5486          | 0.8114   |
+| 0.0833        | 4.9123 | 140  | 0.5318          | 0.8142   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1