Model save
Browse files
README.md
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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: c14kevincardenas/beit-large-patch16-384-limb-person-crop
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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: finetuned-beit-limb-seq-t4-2heads-2layers-1e-4lr
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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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# finetuned-beit-limb-seq-t4-2heads-2layers-1e-4lr
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This model is a fine-tuned version of [c14kevincardenas/beit-large-patch16-384-limb-person-crop](https://huggingface.co/c14kevincardenas/beit-large-patch16-384-limb-person-crop) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4074
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- Accuracy: 0.9186
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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: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 2014
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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_steps: 250
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- num_epochs: 20.0
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- mixed_precision_training: Native AMP
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- label_smoothing_factor: 0.05
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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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| 0.728 | 1.0 | 148 | 0.4692 | 0.8934 |
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| 0.4398 | 2.0 | 296 | 0.4154 | 0.9174 |
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| 0.4817 | 3.0 | 444 | 0.4183 | 0.9114 |
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| 0.4336 | 4.0 | 592 | 0.4365 | 0.9006 |
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| 0.4266 | 5.0 | 740 | 0.4001 | 0.9186 |
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| 0.4375 | 6.0 | 888 | 0.4102 | 0.9090 |
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| 0.3893 | 7.0 | 1036 | 0.4297 | 0.9078 |
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| 0.4142 | 8.0 | 1184 | 0.3987 | 0.9222 |
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| 0.4409 | 9.0 | 1332 | 0.3905 | 0.9198 |
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| 0.3839 | 10.0 | 1480 | 0.3984 | 0.9126 |
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| 0.3798 | 11.0 | 1628 | 0.4075 | 0.9138 |
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| 0.4059 | 12.0 | 1776 | 0.3997 | 0.9114 |
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| 0.3785 | 13.0 | 1924 | 0.4169 | 0.9114 |
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| 0.3823 | 14.0 | 2072 | 0.4268 | 0.9102 |
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| 0.3601 | 15.0 | 2220 | 0.4115 | 0.9150 |
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| 0.3725 | 16.0 | 2368 | 0.3957 | 0.9246 |
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| 0.3321 | 17.0 | 2516 | 0.4084 | 0.9138 |
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| 0.3718 | 18.0 | 2664 | 0.4134 | 0.9102 |
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| 0.3605 | 19.0 | 2812 | 0.4041 | 0.9150 |
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| 0.3167 | 20.0 | 2960 | 0.4074 | 0.9186 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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model.safetensors
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runs/Feb10_13-17-24_galactica.ad.cirange.net/events.out.tfevents.1739193450.galactica.ad.cirange.net.2021207.0
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