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merve
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license-plate-detr-dinov3

Object Detection
Transformers
Safetensors
detr
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xet
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merve HF Staff commited on
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End of training

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  1. README.md +16 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.4355
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  ## Model description
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@@ -33,26 +33,31 @@ More information needed
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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: 8
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- - lr_scheduler_warmup_steps: 100
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- - num_epochs: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | No log | 0.1439 | 100 | 6.5764 |
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- | No log | 0.2878 | 200 | 5.5455 |
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- | No log | 0.4317 | 300 | 5.7764 |
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- | No log | 0.5755 | 400 | 6.1770 |
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- | 3.792 | 0.7194 | 500 | 5.7477 |
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- | 3.792 | 0.8633 | 600 | 5.4355 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.7008
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 5.8051 | 0.3597 | 500 | 5.9154 |
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+ | 3.7499 | 0.7194 | 1000 | 5.6564 |
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+ | 2.9229 | 1.0791 | 1500 | 5.0939 |
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+ | 2.4764 | 1.4388 | 2000 | 4.8373 |
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+ | 2.1516 | 1.7986 | 2500 | 4.1810 |
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+ | 1.9888 | 2.1583 | 3000 | 3.4404 |
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+ | 1.8246 | 2.5180 | 3500 | 3.4240 |
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+ | 1.6989 | 2.8777 | 4000 | 2.7048 |
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+ | 1.5844 | 3.2374 | 4500 | 2.8758 |
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+ | 1.5515 | 3.5971 | 5000 | 2.4801 |
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+ | 1.5 | 3.9568 | 5500 | 2.7008 |
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  ### Framework versions
model.safetensors CHANGED
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