--- library_name: transformers license: apache-2.0 base_model: AnnaZhang/lwdetr_tiny_60e_coco tags: - generated_from_trainer model-index: - name: lwdetr-tiny-tray-cart-rf100-lr-20260303-222437 results: [] --- # lwdetr-tiny-tray-cart-rf100-lr-20260303-222437 This model is a fine-tuned version of [AnnaZhang/lwdetr_tiny_60e_coco](https://huggingface.co/AnnaZhang/lwdetr_tiny_60e_coco) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.9548 - Map: 0.0 - Map 50: 0.0001 - Map 75: 0.0 - Map Small: 0.0 - Map Medium: 0.0001 - Map Large: 0.0 - Mar 1: 0.0 - Mar 10: 0.0 - Mar 100: 0.0027 - Mar Small: 0.0 - Mar Medium: 0.0028 - Mar Large: 0.003 - Map Tray: 0.0001 - Mar 100 Tray: 0.0055 - Map Cart: 0.0 - Mar 100 Cart: 0.0 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0008 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: constant_with_warmup - lr_scheduler_warmup_steps: 4 - num_epochs: 60 ### Training results | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Tray | Mar 100 Tray | Map Cart | Mar 100 Cart | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:--------:|:------------:|:--------:|:------------:| | No log | 1.0 | 7 | 3.0398 | 0.0018 | 0.0071 | 0.0002 | 0.0011 | 0.0023 | 0.0056 | 0.0 | 0.0049 | 0.0446 | 0.0571 | 0.0344 | 0.1157 | 0.0018 | 0.0311 | 0.0018 | 0.0581 | | No log | 2.0 | 14 | 4.0643 | 0.0001 | 0.0003 | 0.0 | 0.0 | 0.0001 | 0.0005 | 0.0 | 0.0016 | 0.005 | 0.0 | 0.0038 | 0.0158 | 0.0 | 0.0019 | 0.0001 | 0.0081 | | No log | 3.0 | 21 | 3.5934 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0004 | 0.0 | 0.0005 | 0.0 | 0.0 | 0.0008 | 0.0 | 0.0 | | No log | 4.0 | 28 | 3.2675 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0001 | 0.0002 | 0.0 | 0.0025 | 0.0046 | 0.0 | 0.0046 | 0.0068 | 0.0001 | 0.0043 | 0.0 | 0.0048 | | No log | 5.0 | 35 | 3.5102 | 0.0002 | 0.0009 | 0.0 | 0.0 | 0.0003 | 0.0005 | 0.0 | 0.0008 | 0.0063 | 0.0 | 0.0048 | 0.0205 | 0.0003 | 0.0109 | 0.0 | 0.0016 | | No log | 6.0 | 42 | 3.1096 | 0.0001 | 0.0008 | 0.0 | 0.0 | 0.0003 | 0.0001 | 0.0001 | 0.0006 | 0.0055 | 0.0 | 0.0052 | 0.0098 | 0.0003 | 0.0111 | 0.0 | 0.0 | | No log | 7.0 | 49 | 3.5679 | 0.0001 | 0.0005 | 0.0 | 0.0 | 0.0003 | 0.0001 | 0.0002 | 0.001 | 0.0043 | 0.0 | 0.004 | 0.0083 | 0.0002 | 0.0087 | 0.0 | 0.0 | | No log | 8.0 | 56 | 3.2223 | 0.0002 | 0.001 | 0.0 | 0.0 | 0.0002 | 0.001 | 0.0001 | 0.0019 | 0.0067 | 0.0 | 0.0041 | 0.0287 | 0.0002 | 0.0101 | 0.0001 | 0.0032 | | No log | 9.0 | 63 | 3.1136 | 0.0002 | 0.0009 | 0.0 | 0.0003 | 0.0003 | 0.0001 | 0.0 | 0.0003 | 0.0075 | 0.019 | 0.0063 | 0.0129 | 0.0004 | 0.0149 | 0.0 | 0.0 | | No log | 10.0 | 70 | 3.4638 | 0.0002 | 0.001 | 0.0 | 0.0001 | 0.0003 | 0.0006 | 0.0 | 0.001 | 0.0039 | 0.0024 | 0.0035 | 0.0068 | 0.0004 | 0.0077 | 0.0 | 0.0 | | No log | 11.0 | 77 | 3.8443 | 0.0001 | 0.0008 | 0.0 | 0.0 | 0.0002 | 0.0003 | 0.0 | 0.0007 | 0.0047 | 0.0 | 0.0038 | 0.0129 | 0.0003 | 0.0093 | 0.0 | 0.0 | | No log | 12.0 | 84 | 3.7676 | 0.0012 | 0.0037 | 0.001 | 0.0004 | 0.0025 | 0.0011 | 0.0004 | 0.0023 | 0.0091 | 0.0167 | 0.0057 | 0.0348 | 0.0024 | 0.0183 | 0.0 | 0.0 | | No log | 13.0 | 91 | 4.1044 | 0.0001 | 0.0004 | 0.0 | 0.0004 | 0.0001 | 0.0001 | 0.0 | 0.0002 | 0.0031 | 0.0071 | 0.0021 | 0.0098 | 0.0001 | 0.0063 | 0.0 | 0.0 | | No log | 14.0 | 98 | 3.3460 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0 | 0.0026 | 0.0 | 0.0024 | 0.0053 | 0.0001 | 0.0053 | 0.0 | 0.0 | | No log | 15.0 | 105 | 3.7025 | 0.0 | 0.0001 | 0.0 | 0.0003 | 0.0001 | 0.0 | 0.0 | 0.0002 | 0.0022 | 0.0048 | 0.0022 | 0.0008 | 0.0 | 0.0043 | 0.0 | 0.0 | | No log | 16.0 | 112 | 3.9109 | 0.0003 | 0.0014 | 0.0 | 0.0008 | 0.0001 | 0.0005 | 0.0 | 0.0002 | 0.0019 | 0.0024 | 0.0019 | 0.0023 | 0.0005 | 0.0039 | 0.0 | 0.0 | | No log | 17.0 | 119 | 4.0892 | 0.0001 | 0.0004 | 0.0 | 0.0 | 0.0001 | 0.0002 | 0.0 | 0.0002 | 0.0022 | 0.0 | 0.0019 | 0.0061 | 0.0001 | 0.0045 | 0.0 | 0.0 | | No log | 18.0 | 126 | 4.1155 | 0.0002 | 0.0007 | 0.0 | 0.0017 | 0.0001 | 0.0005 | 0.0 | 0.0003 | 0.0029 | 0.0048 | 0.0019 | 0.0106 | 0.0004 | 0.0058 | 0.0 | 0.0 | | No log | 19.0 | 133 | 4.4061 | 0.0002 | 0.0007 | 0.0 | 0.005 | 0.0001 | 0.0006 | 0.0002 | 0.0006 | 0.0032 | 0.0048 | 0.0021 | 0.0114 | 0.0003 | 0.0064 | 0.0 | 0.0 | | No log | 20.0 | 140 | 4.4481 | 0.0002 | 0.0009 | 0.0 | 0.0 | 0.0003 | 0.0005 | 0.0002 | 0.0016 | 0.0041 | 0.0 | 0.0029 | 0.0152 | 0.0005 | 0.0082 | 0.0 | 0.0 | | No log | 21.0 | 147 | 4.2778 | 0.0001 | 0.0003 | 0.0 | 0.0 | 0.0001 | 0.0001 | 0.0 | 0.0006 | 0.003 | 0.0 | 0.0021 | 0.0106 | 0.0001 | 0.0059 | 0.0 | 0.0 | | No log | 22.0 | 154 | 4.2637 | 0.0 | 0.0003 | 0.0 | 0.0 | 0.0001 | 0.0002 | 0.0 | 0.0004 | 0.0027 | 0.0 | 0.0018 | 0.0114 | 0.0001 | 0.0055 | 0.0 | 0.0 | | No log | 23.0 | 161 | 4.2993 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0001 | 0.0002 | 0.0 | 0.0005 | 0.003 | 0.0 | 0.0021 | 0.0114 | 0.0001 | 0.0059 | 0.0 | 0.0 | | No log | 24.0 | 168 | 4.2119 | 0.0001 | 0.0008 | 0.0 | 0.0 | 0.0002 | 0.0004 | 0.0 | 0.0009 | 0.0038 | 0.0 | 0.0023 | 0.0167 | 0.0002 | 0.0075 | 0.0 | 0.0 | | No log | 25.0 | 175 | 4.4769 | 0.0001 | 0.0006 | 0.0 | 0.0 | 0.0003 | 0.0001 | 0.0 | 0.0021 | 0.0045 | 0.0 | 0.0039 | 0.0114 | 0.0001 | 0.0058 | 0.0001 | 0.0032 | | No log | 26.0 | 182 | 5.2503 | 0.0001 | 0.0004 | 0.0 | 0.0 | 0.0004 | 0.0003 | 0.0006 | 0.001 | 0.0024 | 0.0 | 0.0013 | 0.0121 | 0.0003 | 0.0048 | 0.0 | 0.0 | | No log | 27.0 | 189 | 5.1224 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0001 | 0.0002 | 0.0 | 0.0005 | 0.002 | 0.0 | 0.0013 | 0.0083 | 0.0001 | 0.004 | 0.0 | 0.0 | | No log | 28.0 | 196 | 4.8295 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0001 | 0.0001 | 0.0 | 0.0006 | 0.0021 | 0.0 | 0.0011 | 0.0106 | 0.0001 | 0.0042 | 0.0 | 0.0 | | No log | 29.0 | 203 | 4.9043 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0001 | 0.001 | 0.0 | 0.0008 | 0.003 | 0.0 | 0.0021 | 0.0 | 0.0 | | No log | 30.0 | 210 | 5.0416 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0003 | 0.0024 | 0.0 | 0.0021 | 0.0053 | 0.0001 | 0.0048 | 0.0 | 0.0 | | No log | 31.0 | 217 | 4.3854 | 0.0001 | 0.0005 | 0.0 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0003 | 0.0029 | 0.0 | 0.0023 | 0.0083 | 0.0002 | 0.0058 | 0.0 | 0.0 | | No log | 32.0 | 224 | 4.3899 | 0.0001 | 0.0005 | 0.0 | 0.0 | 0.0001 | 0.0001 | 0.0 | 0.0002 | 0.0024 | 0.0 | 0.0021 | 0.0061 | 0.0002 | 0.0048 | 0.0 | 0.0 | | No log | 33.0 | 231 | 4.5799 | 0.0002 | 0.0011 | 0.0 | 0.0026 | 0.0003 | 0.0001 | 0.0 | 0.0001 | 0.0052 | 0.0071 | 0.0049 | 0.0076 | 0.0004 | 0.0104 | 0.0 | 0.0 | | No log | 34.0 | 238 | 4.3265 | 0.0003 | 0.002 | 0.0 | 0.0 | 0.0005 | 0.0 | 0.0 | 0.0013 | 0.0034 | 0.0 | 0.0035 | 0.0038 | 0.0006 | 0.0051 | 0.0001 | 0.0016 | | No log | 35.0 | 245 | 3.7093 | 0.0001 | 0.0006 | 0.0 | 0.0 | 0.0001 | 0.0004 | 0.0 | 0.0004 | 0.0034 | 0.0 | 0.0022 | 0.0136 | 0.0002 | 0.0067 | 0.0 | 0.0 | | No log | 36.0 | 252 | 3.5999 | 0.0002 | 0.0011 | 0.0 | 0.0 | 0.0003 | 0.0 | 0.0002 | 0.0006 | 0.0043 | 0.0 | 0.0047 | 0.003 | 0.0003 | 0.0087 | 0.0 | 0.0 | | No log | 37.0 | 259 | 3.8728 | 0.0002 | 0.0006 | 0.0 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0004 | 0.0021 | 0.0 | 0.0021 | 0.0023 | 0.0003 | 0.0042 | 0.0 | 0.0 | | No log | 38.0 | 266 | 3.5254 | 0.0002 | 0.0013 | 0.0 | 0.0005 | 0.0003 | 0.0002 | 0.0 | 0.0008 | 0.0042 | 0.0048 | 0.0035 | 0.0091 | 0.0004 | 0.0083 | 0.0 | 0.0 | | No log | 39.0 | 273 | 3.6118 | 0.0003 | 0.0022 | 0.0 | 0.0 | 0.0004 | 0.0003 | 0.0001 | 0.001 | 0.0059 | 0.0 | 0.0059 | 0.0076 | 0.0005 | 0.0101 | 0.0 | 0.0016 | | No log | 40.0 | 280 | 3.7298 | 0.0001 | 0.0007 | 0.0 | 0.0001 | 0.0001 | 0.0003 | 0.0 | 0.0002 | 0.0018 | 0.0048 | 0.0016 | 0.003 | 0.0002 | 0.0037 | 0.0 | 0.0 | | No log | 41.0 | 287 | 3.8030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0003 | 0.0 | 0.0 | | No log | 42.0 | 294 | 4.3011 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0003 | 0.0003 | 0.0 | 0.0004 | 0.0 | 0.0 | 0.0006 | 0.0 | 0.0 | | No log | 43.0 | 301 | 4.3878 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.0002 | 0.0 | 0.0003 | 0.0 | 0.0 | 0.0005 | 0.0 | 0.0 | | No log | 44.0 | 308 | 4.2560 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0001 | 0.0 | 0.0002 | 0.0002 | 0.001 | 0.0 | 0.001 | 0.0015 | 0.0001 | 0.0021 | 0.0 | 0.0 | | No log | 45.0 | 315 | 4.0952 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.0014 | 0.0 | 0.001 | 0.0045 | 0.0 | 0.0027 | 0.0 | 0.0 | | No log | 46.0 | 322 | 4.6935 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 47.0 | 329 | 4.4015 | 0.0 | 0.0002 | 0.0 | 0.0002 | 0.0001 | 0.0 | 0.0 | 0.0001 | 0.0017 | 0.0048 | 0.0018 | 0.0 | 0.0001 | 0.0034 | 0.0 | 0.0 | | No log | 48.0 | 336 | 3.8424 | 0.0001 | 0.0003 | 0.0 | 0.0004 | 0.0002 | 0.0 | 0.0004 | 0.0005 | 0.002 | 0.0071 | 0.0019 | 0.0015 | 0.0001 | 0.004 | 0.0 | 0.0 | | No log | 49.0 | 343 | 4.1566 | 0.0005 | 0.001 | 0.0007 | 0.0004 | 0.0008 | 0.001 | 0.0002 | 0.0007 | 0.003 | 0.0143 | 0.0027 | 0.0023 | 0.0009 | 0.0061 | 0.0 | 0.0 | | No log | 50.0 | 350 | 4.2641 | 0.0006 | 0.0019 | 0.0 | 0.0004 | 0.0006 | 0.0 | 0.0006 | 0.001 | 0.0025 | 0.0024 | 0.0026 | 0.0015 | 0.0012 | 0.005 | 0.0 | 0.0 | | No log | 51.0 | 357 | 4.0037 | 0.0002 | 0.0009 | 0.0 | 0.0 | 0.0003 | 0.0 | 0.0 | 0.0008 | 0.0043 | 0.0 | 0.0046 | 0.0038 | 0.0004 | 0.0087 | 0.0 | 0.0 | | No log | 52.0 | 364 | 3.8360 | 0.0012 | 0.0052 | 0.0 | 0.0005 | 0.0008 | 0.002 | 0.0004 | 0.0004 | 0.0033 | 0.0167 | 0.0029 | 0.0023 | 0.0024 | 0.0066 | 0.0 | 0.0 | | No log | 53.0 | 371 | 4.0386 | 0.0002 | 0.0014 | 0.0 | 0.0 | 0.0003 | 0.0001 | 0.0 | 0.0007 | 0.0045 | 0.0 | 0.004 | 0.0098 | 0.0004 | 0.009 | 0.0 | 0.0 | | No log | 54.0 | 378 | 3.4694 | 0.0001 | 0.0003 | 0.0 | 0.0005 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0038 | 0.0095 | 0.0034 | 0.0053 | 0.0001 | 0.0075 | 0.0 | 0.0 | | No log | 55.0 | 385 | 3.0383 | 0.0001 | 0.0005 | 0.0 | 0.0006 | 0.0002 | 0.0 | 0.0 | 0.0001 | 0.0047 | 0.0095 | 0.0048 | 0.003 | 0.0002 | 0.0095 | 0.0 | 0.0 | | No log | 56.0 | 392 | 3.0222 | 0.0001 | 0.0006 | 0.0 | 0.0001 | 0.0005 | 0.0 | 0.0002 | 0.0006 | 0.0051 | 0.0024 | 0.0051 | 0.0061 | 0.0002 | 0.0103 | 0.0 | 0.0 | | No log | 57.0 | 399 | 3.0688 | 0.0001 | 0.0008 | 0.0 | 0.0008 | 0.0001 | 0.0002 | 0.0 | 0.0001 | 0.0051 | 0.0214 | 0.0032 | 0.0152 | 0.0002 | 0.0101 | 0.0 | 0.0 | | No log | 58.0 | 406 | 3.3060 | 0.001 | 0.0052 | 0.0 | 0.0 | 0.0011 | 0.0001 | 0.0002 | 0.0003 | 0.0039 | 0.0 | 0.0033 | 0.0106 | 0.0021 | 0.0079 | 0.0 | 0.0 | | No log | 59.0 | 413 | 4.0649 | 0.0001 | 0.0005 | 0.0 | 0.0 | 0.0001 | 0.0003 | 0.0 | 0.0006 | 0.0039 | 0.0 | 0.0017 | 0.0227 | 0.0002 | 0.0077 | 0.0 | 0.0 | | No log | 60.0 | 420 | 3.9548 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0 | 0.0027 | 0.0 | 0.0028 | 0.003 | 0.0001 | 0.0055 | 0.0 | 0.0 | ### Framework versions - Transformers 5.2.0 - Pytorch 2.10.0+cu128 - Datasets 4.6.1 - Tokenizers 0.22.2