End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: microsoft/swinv2-base-patch4-window12-192-22k
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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: Paper_Compared-swinv2-base
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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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# Paper_Compared-swinv2-base
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This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4533
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- Accuracy: 0.8679
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 7
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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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| 1.5496 | 0.9492 | 14 | 0.6299 | 0.8183 |
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| 0.61 | 1.9661 | 29 | 0.8504 | 0.7540 |
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| 0.199 | 2.9831 | 44 | 0.4179 | 0.8555 |
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| 0.1152 | 4.0 | 59 | 0.5128 | 0.8397 |
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| 0.0512 | 4.9492 | 73 | 0.4755 | 0.8544 |
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| 0.0297 | 5.9661 | 88 | 0.4363 | 0.8702 |
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| 0.0338 | 6.6441 | 98 | 0.4533 | 0.8679 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 347661896
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version https://git-lfs.github.com/spec/v1
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size 347661896
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