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-t4-8heads-1layers-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-t4-8heads-1layers-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: 0.3986
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- Accuracy: 0.9210
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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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| 1.0563 | 1.0 | 148 | 0.5863 | 0.8754 |
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| 0.4235 | 2.0 | 296 | 0.4249 | 0.8982 |
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| 0.4494 | 3.0 | 444 | 0.4248 | 0.9090 |
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| 0.4183 | 4.0 | 592 | 0.4329 | 0.8934 |
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| 0.4203 | 5.0 | 740 | 0.3979 | 0.9186 |
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| 0.4073 | 6.0 | 888 | 0.3953 | 0.9150 |
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| 0.3927 | 7.0 | 1036 | 0.3988 | 0.9210 |
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| 0.3931 | 8.0 | 1184 | 0.4066 | 0.9174 |
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| 0.4225 | 9.0 | 1332 | 0.3939 | 0.9222 |
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| 0.3768 | 10.0 | 1480 | 0.4043 | 0.9114 |
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| 0.3918 | 11.0 | 1628 | 0.4044 | 0.9102 |
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| 0.398 | 12.0 | 1776 | 0.3927 | 0.9174 |
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| 0.381 | 13.0 | 1924 | 0.3979 | 0.9174 |
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| 0.3817 | 14.0 | 2072 | 0.4134 | 0.9138 |
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| 0.3815 | 15.0 | 2220 | 0.4068 | 0.9174 |
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| 0.3774 | 16.0 | 2368 | 0.3944 | 0.9234 |
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| 0.3499 | 17.0 | 2516 | 0.3972 | 0.9210 |
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| 0.3825 | 18.0 | 2664 | 0.4015 | 0.9198 |
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| 0.3731 | 19.0 | 2812 | 0.3959 | 0.9186 |
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| 0.323 | 20.0 | 2960 | 0.3986 | 0.9210 |
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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/Feb05_18-47-22_galactica.ad.cirange.net/events.out.tfevents.1738781248.galactica.ad.cirange.net.1303711.0
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