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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/dinov2-base |
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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: dinov2-base-MEG5-5 |
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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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# dinov2-base-MEG5-5 |
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This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6964 |
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- Accuracy: 0.8704 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 0.1774 | 1.0000 | 12653 | 0.6342 | 0.8221 | |
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| 0.1053 | 2.0 | 25307 | 0.5782 | 0.8484 | |
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| 0.0592 | 3.0000 | 37960 | 0.5909 | 0.8606 | |
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| 0.0452 | 4.0 | 50614 | 0.6203 | 0.8698 | |
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| 0.0121 | 4.9998 | 63265 | 0.6964 | 0.8704 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.20.3 |
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