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: other
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base_model: apple/mobilevit-small
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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: mobilevit-small_alpha0.5_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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# mobilevit-small_alpha0.5_temp3.0
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This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8438
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- Accuracy: 0.6729
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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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| 1.2251 | 1.0 | 90 | 1.4083 | 0.2441 |
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| 1.1754 | 2.0 | 180 | 1.3374 | 0.3063 |
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| 1.086 | 3.0 | 270 | 1.2295 | 0.3844 |
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| 0.9164 | 4.0 | 360 | 1.0471 | 0.5208 |
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| 0.8124 | 5.0 | 450 | 0.9794 | 0.5692 |
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| 0.757 | 6.0 | 540 | 0.9078 | 0.6136 |
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| 0.7021 | 7.0 | 630 | 0.8754 | 0.6423 |
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| 0.6535 | 8.0 | 720 | 0.8976 | 0.6206 |
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| 0.5973 | 9.0 | 810 | 0.8455 | 0.6719 |
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| 0.5778 | 10.0 | 900 | 0.8477 | 0.6532 |
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| 0.5556 | 11.0 | 990 | 0.8395 | 0.6660 |
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| 0.5226 | 12.0 | 1080 | 0.8487 | 0.6542 |
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| 0.4926 | 13.0 | 1170 | 0.8610 | 0.6482 |
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| 0.4766 | 14.0 | 1260 | 0.8337 | 0.6789 |
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| 0.4763 | 15.0 | 1350 | 0.8482 | 0.6650 |
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| 0.45 | 16.0 | 1440 | 0.8374 | 0.6700 |
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| 0.4468 | 17.0 | 1530 | 0.8378 | 0.6759 |
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| 0.4267 | 18.0 | 1620 | 0.8382 | 0.6729 |
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| 0.4321 | 19.0 | 1710 | 0.8399 | 0.6719 |
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| 0.4318 | 20.0 | 1800 | 0.8438 | 0.6729 |
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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
CHANGED
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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 29269968
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version https://git-lfs.github.com/spec/v1
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oid sha256:a056a66f4da4de1551a7010a2dfc270122818dcebc07544182fd49d831ab6276
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size 29269968
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