Model save
Browse files- README.md +79 -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-patch16-384
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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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- precision
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- recall
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- f1
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model-index:
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- name: 10-vit-base-patch16-384-finetuned-spiderTraining20-500
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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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# 10-vit-base-patch16-384-finetuned-spiderTraining20-500
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This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3427
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- Accuracy: 0.9029
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- Precision: 0.9012
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- Recall: 0.9032
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- F1: 0.9009
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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: 0.0005
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- train_batch_size: 25
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- eval_batch_size: 25
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 100
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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 | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.6925 | 1.0 | 80 | 0.6605 | 0.7938 | 0.8012 | 0.7887 | 0.7869 |
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| 0.5869 | 2.0 | 160 | 0.5574 | 0.8298 | 0.8350 | 0.8254 | 0.8214 |
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| 0.4858 | 3.0 | 240 | 0.4335 | 0.8689 | 0.8692 | 0.8644 | 0.8644 |
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| 0.3921 | 4.0 | 320 | 0.4455 | 0.8739 | 0.8737 | 0.8722 | 0.8699 |
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| 0.2915 | 5.0 | 400 | 0.4707 | 0.8629 | 0.8708 | 0.8612 | 0.8571 |
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| 0.2727 | 6.0 | 480 | 0.4471 | 0.8819 | 0.8795 | 0.8808 | 0.8777 |
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| 0.216 | 7.0 | 560 | 0.3809 | 0.8899 | 0.8879 | 0.8874 | 0.8862 |
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| 0.1685 | 8.0 | 640 | 0.3760 | 0.8949 | 0.8938 | 0.8934 | 0.8915 |
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| 0.1292 | 9.0 | 720 | 0.3427 | 0.9049 | 0.9034 | 0.9032 | 0.9021 |
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| 0.1321 | 10.0 | 800 | 0.3427 | 0.9029 | 0.9012 | 0.9032 | 0.9009 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 344491437
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f699ec7f6c060a596714e224053cc833960e9f35a3cf38c9b46487d1e17fe40
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size 344491437
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