Model save
Browse files- README.md +81 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/deit-tiny-distilled-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: deit-tiny-distilled-patch16-224_alpha0.7_temp3.0
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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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# deit-tiny-distilled-patch16-224_alpha0.7_temp3.0
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This model is a fine-tuned version of [facebook/deit-tiny-distilled-patch16-224](https://huggingface.co/facebook/deit-tiny-distilled-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8299
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- Accuracy: 0.6719
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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: 64
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- eval_batch_size: 64
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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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| 1.1465 | 1.0 | 90 | 1.4257 | 0.2856 |
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| 1.0136 | 2.0 | 180 | 1.2902 | 0.4061 |
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| 0.8581 | 3.0 | 270 | 1.1425 | 0.5099 |
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| 0.6313 | 4.0 | 360 | 0.9627 | 0.6008 |
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| 0.4469 | 5.0 | 450 | 0.8729 | 0.6265 |
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| 0.307 | 6.0 | 540 | 0.9136 | 0.6275 |
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| 0.2482 | 7.0 | 630 | 0.8533 | 0.6502 |
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| 0.1911 | 8.0 | 720 | 0.8625 | 0.6561 |
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| 0.1729 | 9.0 | 810 | 0.8415 | 0.6759 |
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| 0.1548 | 10.0 | 900 | 0.8361 | 0.6700 |
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| 0.1445 | 11.0 | 990 | 0.8495 | 0.6769 |
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| 0.1438 | 12.0 | 1080 | 0.8442 | 0.6680 |
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| 0.1294 | 13.0 | 1170 | 0.8405 | 0.6739 |
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| 0.1279 | 14.0 | 1260 | 0.8366 | 0.6779 |
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| 0.1238 | 15.0 | 1350 | 0.8354 | 0.6739 |
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| 0.1207 | 16.0 | 1440 | 0.8447 | 0.6630 |
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| 0.1185 | 17.0 | 1530 | 0.8283 | 0.6808 |
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| 0.1118 | 18.0 | 1620 | 0.8335 | 0.6670 |
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| 0.1116 | 19.0 | 1710 | 0.8291 | 0.6729 |
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| 0.1074 | 20.0 | 1800 | 0.8299 | 0.6719 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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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 23749136
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version https://git-lfs.github.com/spec/v1
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oid sha256:efbfbfc88e984949f80dd645fa65d6ad09a11668c0364119f069ee1dfbbb2b6f
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size 23749136
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