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_alpha0.5_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-x-small_alpha0.5_temp3.0
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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: 0.8316
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- Accuracy: 0.6670
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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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| 1.2144 | 1.0 | 90 | 1.3722 | 0.3103 |
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| 1.1701 | 2.0 | 180 | 1.3059 | 0.3933 |
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| 1.0635 | 3.0 | 270 | 1.1638 | 0.4792 |
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| 0.9234 | 4.0 | 360 | 1.0532 | 0.5217 |
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| 0.8136 | 5.0 | 450 | 0.9654 | 0.5711 |
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| 0.7593 | 6.0 | 540 | 0.8966 | 0.6166 |
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| 0.7131 | 7.0 | 630 | 0.8710 | 0.6334 |
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| 0.6935 | 8.0 | 720 | 0.9317 | 0.5998 |
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| 0.6504 | 9.0 | 810 | 0.8675 | 0.6294 |
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| 0.6329 | 10.0 | 900 | 0.8388 | 0.6492 |
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| 0.6021 | 11.0 | 990 | 0.8389 | 0.6522 |
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| 0.5937 | 12.0 | 1080 | 0.8454 | 0.6462 |
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| 0.5687 | 13.0 | 1170 | 0.8777 | 0.6393 |
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| 0.5647 | 14.0 | 1260 | 0.8434 | 0.6354 |
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| 0.5372 | 15.0 | 1350 | 0.8428 | 0.6561 |
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| 0.5302 | 16.0 | 1440 | 0.8376 | 0.6512 |
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| 0.5374 | 17.0 | 1530 | 0.8365 | 0.6561 |
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| 0.5273 | 18.0 | 1620 | 0.8431 | 0.6611 |
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| 0.5197 | 19.0 | 1710 | 0.8309 | 0.6581 |
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| 0.5123 | 20.0 | 1800 | 0.8316 | 0.6670 |
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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:db1c31958281df218cb5ca9982251d6e7061c1e9cf86d7a507b56e0975625f3c
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size 11908400
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