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Model save
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README.md
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---
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license: apache-2.0
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base_model: microsoft/beit-base-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: beit-base-patch16-224-dmae-va-U5-42
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# beit-base-patch16-224-dmae-va-U5-42
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0713
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- Accuracy: 0.8
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 42
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.9 | 7 | 1.3471 | 0.4667 |
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| 1.6023 | 1.94 | 15 | 1.0873 | 0.5833 |
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| 1.1509 | 2.97 | 23 | 0.9948 | 0.5833 |
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| 0.826 | 4.0 | 31 | 0.7244 | 0.7167 |
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| 0.826 | 4.9 | 38 | 0.5741 | 0.7333 |
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| 0.5551 | 5.94 | 46 | 0.6569 | 0.75 |
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| 0.3649 | 6.97 | 54 | 0.6322 | 0.7167 |
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| 0.2592 | 8.0 | 62 | 0.6994 | 0.7333 |
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| 0.2592 | 8.9 | 69 | 0.6590 | 0.7333 |
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| 0.1958 | 9.94 | 77 | 0.6846 | 0.7667 |
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| 0.1664 | 10.97 | 85 | 0.7166 | 0.7667 |
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| 0.1571 | 12.0 | 93 | 0.7842 | 0.7833 |
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| 0.1174 | 12.9 | 100 | 0.8465 | 0.8 |
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| 0.1174 | 13.94 | 108 | 0.9116 | 0.7667 |
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| 0.0956 | 14.97 | 116 | 0.9741 | 0.75 |
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| 0.1252 | 16.0 | 124 | 0.7760 | 0.8 |
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| 0.0933 | 16.9 | 131 | 0.9424 | 0.7833 |
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| 0.0933 | 17.94 | 139 | 1.0445 | 0.7333 |
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| 0.1455 | 18.97 | 147 | 0.8525 | 0.7333 |
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| 0.1034 | 20.0 | 155 | 0.8222 | 0.7667 |
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| 0.0855 | 20.9 | 162 | 0.8991 | 0.7833 |
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| 0.0985 | 21.94 | 170 | 0.8955 | 0.8 |
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| 0.0985 | 22.97 | 178 | 0.9603 | 0.7667 |
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| 0.087 | 24.0 | 186 | 0.9932 | 0.7833 |
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| 0.0832 | 24.9 | 193 | 1.0100 | 0.7833 |
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| 0.0632 | 25.94 | 201 | 0.9393 | 0.7667 |
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| 0.0632 | 26.97 | 209 | 0.9062 | 0.7833 |
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| 0.0778 | 28.0 | 217 | 0.9339 | 0.8 |
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| 0.0627 | 28.9 | 224 | 1.0039 | 0.8167 |
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| 0.0837 | 29.94 | 232 | 1.0636 | 0.7333 |
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| 0.0595 | 30.97 | 240 | 1.0424 | 0.75 |
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| 0.0595 | 32.0 | 248 | 1.0514 | 0.8 |
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| 0.0706 | 32.9 | 255 | 1.0639 | 0.7833 |
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| 0.0565 | 33.94 | 263 | 1.0494 | 0.7667 |
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| 0.0515 | 34.97 | 271 | 1.0628 | 0.7667 |
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| 0.0515 | 36.0 | 279 | 1.1089 | 0.7667 |
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| 0.0614 | 36.9 | 286 | 1.0861 | 0.8 |
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| 0.0496 | 37.94 | 294 | 1.0713 | 0.8 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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size 343086480
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runs/Apr02_02-48-53_d3cc9417b200/events.out.tfevents.1712026149.d3cc9417b200.2135.0
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version https://git-lfs.github.com/spec/v1
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size
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size 24144
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