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--- |
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license: apache-2.0 |
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tags: |
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- masked-auto-encoding |
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- generated_from_trainer |
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model-index: |
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- name: MAE |
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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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# MAE |
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This model is a fine-tuned version of [facebook/vit-mae-base](https://huggingface.co/facebook/vit-mae-base) on the Circularmachines/batch_indexing_machine_224x224_images dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2263 |
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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: 4.6875e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.249 | 1.0 | 7705 | 0.2445 | |
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| 0.2269 | 2.0 | 15410 | 0.2373 | |
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| 0.2401 | 3.0 | 23115 | 0.2334 | |
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| 0.2202 | 4.0 | 30820 | 0.2305 | |
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| 0.2173 | 5.0 | 38525 | 0.2283 | |
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| 0.2347 | 6.0 | 46230 | 0.2282 | |
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| 0.2304 | 7.0 | 53935 | 0.2268 | |
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| 0.2267 | 8.0 | 61640 | 0.2262 | |
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| 0.2177 | 9.0 | 69345 | 0.2254 | |
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| 0.2175 | 10.0 | 77050 | 0.2262 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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