End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/beit-large-patch16-224-pt22k-ft22k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 0.50-500Train-100Test-beit-large
+  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. -->
+
+# 0.50-500Train-100Test-beit-large
+
+This model is a fine-tuned version of [microsoft/beit-large-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-large-patch16-224-pt22k-ft22k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7076
+- Accuracy: 0.8515
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.2287        | 0.9973 | 92   | 0.6058          | 0.8157   |
+| 0.1191        | 1.9946 | 184  | 0.7659          | 0.8070   |
+| 0.0311        | 2.9919 | 276  | 0.6945          | 0.8271   |
+| 0.0076        | 4.0    | 369  | 0.7174          | 0.8437   |
+| 0.0012        | 4.9864 | 460  | 0.7076          | 0.8515   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1