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c14kevincardenas
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target_hold

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  1. README.md +80 -0
  2. model.safetensors +1 -1
  3. runs/Oct25_16-43-45_galactica.ad.cirange.net/events.out.tfevents.1729874646.galactica.ad.cirange.net.162219.0 +2 -2
README.md ADDED
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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
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: target_hold
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+ results: []
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+ ---
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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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+
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+ # target_hold
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+
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+ This model is a fine-tuned version of [c14kevincardenas/beit-large-patch16-384-limb](https://huggingface.co/c14kevincardenas/beit-large-patch16-384-limb) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3494
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+ - Iou: 0.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Iou |
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+ |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | 1.4703 | 1.0 | 100 | 1.4400 | 0.0 |
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+ | 1.4686 | 2.0 | 200 | 1.4275 | 0.0 |
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+ | 1.463 | 3.0 | 300 | 1.5115 | 0.0 |
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+ | 1.4399 | 4.0 | 400 | 1.4286 | 0.0 |
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+ | 1.4252 | 5.0 | 500 | 1.4053 | 0.0 |
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+ | 1.3961 | 6.0 | 600 | 1.3607 | 0.0 |
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+ | 1.3791 | 7.0 | 700 | 1.3695 | 0.0 |
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+ | 1.3555 | 8.0 | 800 | 1.3698 | 0.0 |
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+ | 1.3402 | 9.0 | 900 | 1.3592 | 0.0 |
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+ | 1.3551 | 10.0 | 1000 | 1.3786 | 0.0 |
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+ | 1.3517 | 11.0 | 1100 | 1.3585 | 0.0 |
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+ | 1.3629 | 12.0 | 1200 | 1.3613 | 0.0 |
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+ | 1.3322 | 13.0 | 1300 | 1.3555 | 0.0 |
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+ | 1.3185 | 14.0 | 1400 | 1.3537 | 0.0 |
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+ | 1.3254 | 15.0 | 1500 | 1.3589 | 0.0 |
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+ | 1.3343 | 16.0 | 1600 | 1.3545 | 0.0 |
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+ | 1.3282 | 17.0 | 1700 | 1.3675 | 0.0 |
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+ | 1.335 | 18.0 | 1800 | 1.3515 | 0.0 |
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+ | 1.3259 | 19.0 | 1900 | 1.3499 | 0.0 |
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+ | 1.3144 | 20.0 | 2000 | 1.3494 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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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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