End of training
Browse files- README.md +95 -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: facebook/deit-tiny-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: Boya1_Adamax_1-e4_20Epoch_Deit-tiny-patch16_fold5
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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: 0.5611608353675075
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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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# Boya1_Adamax_1-e4_20Epoch_Deit-tiny-patch16_fold5
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This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4928
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- Accuracy: 0.5612
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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: 16
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- eval_batch_size: 16
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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: 20
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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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| 1.3998 | 1.0 | 924 | 1.5149 | 0.4893 |
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| 1.3931 | 2.0 | 1848 | 1.3087 | 0.5424 |
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| 1.0339 | 3.0 | 2772 | 1.2795 | 0.5598 |
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| 0.6895 | 4.0 | 3696 | 1.2909 | 0.5772 |
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| 0.5865 | 5.0 | 4620 | 1.4017 | 0.5644 |
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| 0.6353 | 6.0 | 5544 | 1.5191 | 0.5606 |
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| 0.4014 | 7.0 | 6468 | 1.6877 | 0.5644 |
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| 0.2889 | 8.0 | 7392 | 1.9030 | 0.5601 |
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| 0.064 | 9.0 | 8316 | 2.0982 | 0.5633 |
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| 0.0342 | 10.0 | 9240 | 2.4199 | 0.5574 |
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| 0.071 | 11.0 | 10164 | 2.6790 | 0.5555 |
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| 0.0036 | 12.0 | 11088 | 2.8221 | 0.5571 |
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| 0.0018 | 13.0 | 12012 | 3.0343 | 0.5609 |
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| 0.0019 | 14.0 | 12936 | 3.1489 | 0.5566 |
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| 0.0004 | 15.0 | 13860 | 3.2320 | 0.5579 |
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| 0.0248 | 16.0 | 14784 | 3.2970 | 0.5595 |
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| 0.0003 | 17.0 | 15708 | 3.3641 | 0.5625 |
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| 0.0002 | 18.0 | 16632 | 3.4302 | 0.5606 |
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| 0.0002 | 19.0 | 17556 | 3.4763 | 0.5620 |
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| 0.0001 | 20.0 | 18480 | 3.4928 | 0.5612 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.1.0
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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@@ -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 22134280
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version https://git-lfs.github.com/spec/v1
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oid sha256:f06b4def5ea3259450278735e8bcb1f98754874018631c4a6dc856090dc7c233
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size 22134280
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