Model save
Browse files- README.md +87 -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: google/vit-base-patch16-224-in21k
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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: tsec_vit_model
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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: train
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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: 0.7689873417721519
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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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# tsec_vit_model
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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 the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4821
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- Accuracy: 0.7690
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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: 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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| 0.4963 | 0.9873 | 39 | 0.5699 | 0.6725 |
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| 0.4959 | 2.0 | 79 | 0.5485 | 0.7152 |
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| 0.4879 | 2.9873 | 118 | 0.4886 | 0.7690 |
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| 0.5243 | 4.0 | 158 | 0.5133 | 0.7468 |
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| 0.4654 | 4.9873 | 197 | 0.4927 | 0.7516 |
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| 0.4776 | 6.0 | 237 | 0.4901 | 0.7642 |
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| 0.4767 | 6.9873 | 276 | 0.4652 | 0.7816 |
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| 0.4465 | 8.0 | 316 | 0.4795 | 0.7642 |
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| 0.467 | 8.9873 | 355 | 0.4691 | 0.7484 |
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| 0.4121 | 9.8734 | 390 | 0.4821 | 0.7690 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
CHANGED
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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 343223968
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed16a4948d27cdfd27a614c43dad0d5a308738eb330c840d3b4b6abcf21fba04
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size 343223968
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