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-x-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-x-small_alpha0.7_temp5.0
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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-x-small_alpha0.7_temp5.0
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This model is a fine-tuned version of [apple/mobilevit-x-small](https://huggingface.co/apple/mobilevit-x-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8546
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- Accuracy: 0.6472
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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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| 1.1201 | 1.0 | 90 | 1.3907 | 0.2915 |
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| 1.0793 | 2.0 | 180 | 1.3214 | 0.3775 |
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| 0.9679 | 3.0 | 270 | 1.1766 | 0.4644 |
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| 0.844 | 4.0 | 360 | 1.0511 | 0.5316 |
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| 0.745 | 5.0 | 450 | 0.9649 | 0.5810 |
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| 0.7137 | 6.0 | 540 | 0.9291 | 0.5800 |
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| 0.6625 | 7.0 | 630 | 0.8924 | 0.6235 |
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| 0.6515 | 8.0 | 720 | 0.9113 | 0.6018 |
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| 0.604 | 9.0 | 810 | 0.8726 | 0.6324 |
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| 0.6031 | 10.0 | 900 | 0.8651 | 0.6472 |
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| 0.5679 | 11.0 | 990 | 0.8491 | 0.6532 |
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| 0.5615 | 12.0 | 1080 | 0.8680 | 0.6324 |
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| 0.5364 | 13.0 | 1170 | 0.8812 | 0.6255 |
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| 0.507 | 14.0 | 1260 | 0.8634 | 0.6334 |
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| 0.5122 | 15.0 | 1350 | 0.8725 | 0.6383 |
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| 0.501 | 16.0 | 1440 | 0.8544 | 0.6502 |
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| 0.4927 | 17.0 | 1530 | 0.8533 | 0.6502 |
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| 0.4891 | 18.0 | 1620 | 0.8573 | 0.6482 |
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| 0.4767 | 19.0 | 1710 | 0.8373 | 0.6621 |
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| 0.4903 | 20.0 | 1800 | 0.8546 | 0.6472 |
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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 11908400
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6524936290cd01f49584078e7ef4dcd721f7c197900c12ac3776b222f109362
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size 11908400
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