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End of training
Browse files- README.md +72 -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/beit-base-patch16-224-pt22k-ft22k
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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-beit-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-beit-base
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5363
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- Accuracy: 0.8409
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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: 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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| 1.6803 | 0.9492 | 14 | 0.9171 | 0.7156 |
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| 0.8219 | 1.9661 | 29 | 0.5230 | 0.8330 |
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| 0.2323 | 2.9831 | 44 | 0.5110 | 0.8047 |
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| 0.1112 | 4.0 | 59 | 0.4968 | 0.8138 |
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| 0.0387 | 4.9492 | 73 | 0.5502 | 0.8093 |
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| 0.0232 | 5.9661 | 88 | 0.5506 | 0.8296 |
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| 0.0096 | 6.9831 | 103 | 0.5341 | 0.8431 |
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| 0.0068 | 8.0 | 118 | 0.6003 | 0.8149 |
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| 0.0046 | 8.9492 | 132 | 0.5298 | 0.8409 |
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| 0.0051 | 9.4915 | 140 | 0.5363 | 0.8409 |
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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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