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Model save
Browse files- README.md +69 -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: google/vit-base-patch16-224
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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: fruits-360-16-7
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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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# fruits-360-16-7
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0022
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- Accuracy: 0.9992
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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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| 0.0718 | 1.0 | 1057 | 0.0188 | 0.9976 |
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| 0.0135 | 2.0 | 2115 | 0.0055 | 0.9992 |
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| 0.0236 | 3.0 | 3173 | 0.0077 | 0.9976 |
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| 0.0082 | 4.0 | 4231 | 0.0026 | 0.9992 |
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| 0.004 | 5.0 | 5288 | 0.0036 | 0.9988 |
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| 0.0067 | 6.0 | 6346 | 0.0024 | 0.9991 |
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| 0.0005 | 7.0 | 7399 | 0.0022 | 0.9992 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 343610602
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version https://git-lfs.github.com/spec/v1
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size 343610602
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