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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- dfl |
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metrics: |
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- f1 |
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model-index: |
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- name: vit_for_dfl |
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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: dfl |
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type: dfl |
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config: small |
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split: train |
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args: small |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.2452846975088968 |
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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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# vit_for_dfl |
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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 dfl dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1771 |
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- F1: 0.2453 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.0836 | 1.0 | 358 | 0.1841 | 0.2453 | |
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| 0.207 | 2.0 | 716 | 0.1835 | 0.2453 | |
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| 0.2325 | 3.0 | 1074 | 0.1771 | 0.2453 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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