Model save
Browse files- README.md +79 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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_alpha0.7_temp3.0_t3
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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_alpha0.7_temp3.0_t3
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9599
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- Accuracy: 0.6551
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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: 32
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- eval_batch_size: 32
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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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| 0.5602 | 1.0 | 164 | 1.4016 | 0.2636 |
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| 0.5293 | 2.0 | 328 | 1.3396 | 0.3178 |
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| 0.4722 | 3.0 | 492 | 1.1894 | 0.4740 |
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| 0.4285 | 4.0 | 656 | 1.1300 | 0.5336 |
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| 0.4026 | 5.0 | 820 | 1.0758 | 0.5824 |
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| 0.3918 | 6.0 | 984 | 1.0470 | 0.5900 |
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| 0.3733 | 7.0 | 1148 | 1.0198 | 0.6095 |
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| 0.3622 | 8.0 | 1312 | 0.9975 | 0.6356 |
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| 0.3504 | 9.0 | 1476 | 0.9980 | 0.6052 |
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| 0.3345 | 10.0 | 1640 | 1.0102 | 0.6171 |
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| 0.3362 | 11.0 | 1804 | 1.0125 | 0.6009 |
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| 0.3281 | 12.0 | 1968 | 0.9796 | 0.6302 |
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| 0.3146 | 13.0 | 2132 | 0.9592 | 0.6616 |
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| 0.3172 | 14.0 | 2296 | 0.9733 | 0.6475 |
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| 0.3091 | 15.0 | 2460 | 0.9679 | 0.6540 |
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| 0.3071 | 16.0 | 2624 | 0.9691 | 0.6508 |
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| 0.3073 | 17.0 | 2788 | 0.9566 | 0.6616 |
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| 0.2953 | 18.0 | 2952 | 0.9579 | 0.6486 |
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| 0.3014 | 19.0 | 3116 | 0.9578 | 0.6605 |
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| 0.2909 | 20.0 | 3280 | 0.9599 | 0.6551 |
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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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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 sha256:573910e7db7316ddaa18187dacdf189d57ff21cd9494b3b2aae7d6ec2c6b03d4
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size 29269968
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