hkivancoral
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End of training
Browse files- README.md +125 -0
- model.safetensors +1 -1
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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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: hushem_5x_beit_base_sgd_0001_fold2
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: test
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.26666666666666666
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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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# hushem_5x_beit_base_sgd_0001_fold2
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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 the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4185
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- Accuracy: 0.2667
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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: 0.0001
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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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- 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: 50
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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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| 1.4965 | 1.0 | 27 | 1.5474 | 0.2667 |
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| 1.561 | 2.0 | 54 | 1.5386 | 0.2667 |
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| 1.5488 | 3.0 | 81 | 1.5312 | 0.2667 |
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| 1.5518 | 4.0 | 108 | 1.5243 | 0.2667 |
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| 1.4809 | 5.0 | 135 | 1.5177 | 0.2667 |
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| 1.4954 | 6.0 | 162 | 1.5111 | 0.2667 |
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| 1.4888 | 7.0 | 189 | 1.5048 | 0.2667 |
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| 1.5126 | 8.0 | 216 | 1.4993 | 0.2667 |
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| 1.4812 | 9.0 | 243 | 1.4939 | 0.2667 |
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| 1.4494 | 10.0 | 270 | 1.4885 | 0.2667 |
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| 1.4861 | 11.0 | 297 | 1.4838 | 0.2667 |
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| 1.491 | 12.0 | 324 | 1.4794 | 0.2667 |
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| 1.4395 | 13.0 | 351 | 1.4751 | 0.2667 |
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| 1.4636 | 14.0 | 378 | 1.4709 | 0.2667 |
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| 1.4302 | 15.0 | 405 | 1.4673 | 0.2667 |
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| 1.4414 | 16.0 | 432 | 1.4635 | 0.2667 |
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| 1.4468 | 17.0 | 459 | 1.4602 | 0.2667 |
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| 1.4709 | 18.0 | 486 | 1.4571 | 0.2667 |
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| 1.4325 | 19.0 | 513 | 1.4542 | 0.2667 |
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| 1.4645 | 20.0 | 540 | 1.4515 | 0.2667 |
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| 1.4346 | 21.0 | 567 | 1.4487 | 0.2667 |
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| 1.4324 | 22.0 | 594 | 1.4459 | 0.2667 |
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| 1.3769 | 23.0 | 621 | 1.4436 | 0.2667 |
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| 1.3945 | 24.0 | 648 | 1.4414 | 0.2667 |
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| 1.415 | 25.0 | 675 | 1.4393 | 0.2667 |
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| 1.4371 | 26.0 | 702 | 1.4375 | 0.2667 |
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| 1.4355 | 27.0 | 729 | 1.4356 | 0.2667 |
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| 1.3979 | 28.0 | 756 | 1.4341 | 0.2667 |
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| 1.4061 | 29.0 | 783 | 1.4326 | 0.2667 |
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| 1.4573 | 30.0 | 810 | 1.4309 | 0.2667 |
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| 1.4027 | 31.0 | 837 | 1.4293 | 0.2667 |
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| 1.4089 | 32.0 | 864 | 1.4280 | 0.2667 |
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| 1.43 | 33.0 | 891 | 1.4268 | 0.2667 |
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| 1.4098 | 34.0 | 918 | 1.4255 | 0.2667 |
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| 1.3671 | 35.0 | 945 | 1.4244 | 0.2667 |
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| 1.3717 | 36.0 | 972 | 1.4237 | 0.2667 |
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| 1.3658 | 37.0 | 999 | 1.4228 | 0.2667 |
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| 1.4295 | 38.0 | 1026 | 1.4220 | 0.2667 |
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| 1.3909 | 39.0 | 1053 | 1.4214 | 0.2667 |
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| 1.3599 | 40.0 | 1080 | 1.4209 | 0.2667 |
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| 1.3564 | 41.0 | 1107 | 1.4202 | 0.2667 |
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| 1.3635 | 42.0 | 1134 | 1.4197 | 0.2667 |
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| 1.3875 | 43.0 | 1161 | 1.4194 | 0.2667 |
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| 1.3551 | 44.0 | 1188 | 1.4191 | 0.2667 |
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| 1.3825 | 45.0 | 1215 | 1.4188 | 0.2667 |
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| 1.3691 | 46.0 | 1242 | 1.4187 | 0.2667 |
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| 1.3678 | 47.0 | 1269 | 1.4186 | 0.2667 |
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| 1.4155 | 48.0 | 1296 | 1.4185 | 0.2667 |
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| 1.3778 | 49.0 | 1323 | 1.4185 | 0.2667 |
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| 1.3456 | 50.0 | 1350 | 1.4185 | 0.2667 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 343086480
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca760c374717c745f5bafcc8716ea01d0d0d50cf3369032edfbea74b6c77f953
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size 343086480
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