End of training
Browse files- README.md +85 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: microsoft/beit-large-patch16-224
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: Boya2_3Class_RMSprop_1e5_20Epoch_Beit-large-224_fold3
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: test
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8547990155865464
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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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# Boya2_3Class_RMSprop_1e5_20Epoch_Beit-large-224_fold3
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This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7047
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- Accuracy: 0.8548
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 10
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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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| 0.4467 | 1.0 | 913 | 0.4441 | 0.8201 |
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| 0.3558 | 2.0 | 1826 | 0.3870 | 0.8480 |
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| 0.141 | 3.0 | 2739 | 0.6184 | 0.8581 |
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| 0.058 | 4.0 | 3652 | 0.8484 | 0.8447 |
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| 0.0298 | 5.0 | 4565 | 1.1109 | 0.8551 |
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| 0.0004 | 6.0 | 5478 | 1.2544 | 0.8515 |
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| 0.0103 | 7.0 | 6391 | 1.5365 | 0.8463 |
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| 0.0293 | 8.0 | 7304 | 1.6379 | 0.8553 |
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| 0.0 | 9.0 | 8217 | 1.6820 | 0.8575 |
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| 0.0001 | 10.0 | 9130 | 1.7047 | 0.8548 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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pytorch_model.bin
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size 1213789289
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version https://git-lfs.github.com/spec/v1
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size 1213789289
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