Model save
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README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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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: id1
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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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# id1
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6181
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- Accuracy: 0.6535
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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: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 8
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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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- num_epochs: 6
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- mixed_precision_training: Native AMP
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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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| 0.6933 | 0.53 | 10000 | 0.6932 | 0.5008 |
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| 0.6933 | 1.06 | 20000 | 0.6933 | 0.4992 |
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| 0.6933 | 1.59 | 30000 | 0.6931 | 0.5008 |
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| 0.6933 | 2.12 | 40000 | 0.6931 | 0.5161 |
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| 0.6931 | 2.65 | 50000 | 0.6933 | 0.4991 |
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| 0.6932 | 3.19 | 60000 | 0.6932 | 0.4991 |
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| 0.6746 | 3.72 | 70000 | 0.6725 | 0.5796 |
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| 0.6582 | 4.25 | 80000 | 0.6614 | 0.6032 |
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| 0.6455 | 4.78 | 90000 | 0.6466 | 0.6132 |
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| 0.6256 | 5.31 | 100000 | 0.6325 | 0.6391 |
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| 0.6144 | 5.84 | 110000 | 0.6181 | 0.6535 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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runs/Jan01_06-59-39_a0707a466317/events.out.tfevents.1704092379.a0707a466317.8840.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 26316
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