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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 +28 -16
  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: 2.7008
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  ## Model description
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@@ -40,24 +40,36 @@ The following hyperparameters were used during training:
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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
@@ -65,4 +77,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.57.0.dev0
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  - Pytorch 2.8.0+cu126
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  - Datasets 4.0.0
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- - Tokenizers 0.22.0
 
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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: 2.4069
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  ## Model description
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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: 8
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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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+ | 5.9639 | 0.3408 | 500 | 5.7109 |
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+ | 3.7311 | 0.6817 | 1000 | 5.8289 |
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+ | 2.9953 | 1.0225 | 1500 | 5.5977 |
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+ | 2.4684 | 1.3633 | 2000 | 4.9900 |
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+ | 2.1458 | 1.7042 | 2500 | 3.0389 |
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+ | 1.8966 | 2.0450 | 3000 | 2.9854 |
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+ | 1.711 | 2.3858 | 3500 | 2.8960 |
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+ | 1.7188 | 2.7267 | 4000 | 2.8657 |
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+ | 1.6345 | 3.0675 | 4500 | 2.9198 |
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+ | 1.6162 | 3.4083 | 5000 | 3.0553 |
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+ | 1.5216 | 3.7491 | 5500 | 3.0822 |
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+ | 1.4746 | 4.0900 | 6000 | 3.2468 |
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+ | 1.4821 | 4.4308 | 6500 | 3.0554 |
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+ | 1.4824 | 4.7716 | 7000 | 2.6149 |
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+ | 1.4697 | 5.1125 | 7500 | 2.5948 |
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+ | 1.3859 | 5.4533 | 8000 | 2.5043 |
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+ | 1.4207 | 5.7941 | 8500 | 2.7286 |
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+ | 1.3432 | 6.1350 | 9000 | 2.6156 |
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+ | 1.3261 | 6.4758 | 9500 | 2.4771 |
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+ | 1.3504 | 6.8166 | 10000 | 2.7247 |
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+ | 1.2941 | 7.1575 | 10500 | 2.4605 |
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+ | 1.3013 | 7.4983 | 11000 | 2.4045 |
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+ | 1.3526 | 7.8391 | 11500 | 2.4069 |
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  ### Framework versions
 
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  - Transformers 4.57.0.dev0
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  - Pytorch 2.8.0+cu126
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  - Datasets 4.0.0
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+ - Tokenizers 0.22.1
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