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library_name: transformers
license: apache-2.0
base_model: Roboflow/rf-detr-medium
tags:
- generated_from_trainer
model-index:
- name: rfdetr-docvqa-media3-trainval-agree1-medium
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rfdetr-docvqa-media3-trainval-agree1-medium
This model is a fine-tuned version of [Roboflow/rf-detr-medium](https://huggingface.co/Roboflow/rf-detr-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 17.1433
- Map: 0.2703
- Map 50: 0.4858
- Map 75: 0.2504
- Map Small: -1.0
- Map Medium: 0.0548
- Map Large: 0.2829
- Mar 1: 0.3017
- Mar 10: 0.5088
- Mar 100: 0.5802
- Mar Small: -1.0
- Mar Medium: 0.0818
- Mar Large: 0.6086
- Map Chart: 0.2876
- Mar 100 Chart: 0.67
- Map Image: 0.3634
- Mar 100 Image: 0.6505
- Map Signature: 0.1597
- Mar 100 Signature: 0.42
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 30
### 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 Chart | Mar 100 Chart | Map Image | Mar 100 Image | Map Signature | Mar 100 Signature |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:---------:|:-------------:|:---------:|:-------------:|:-------------:|:-----------------:|
| 53.1977 | 1.0 | 42 | 28.6751 | 0.0006 | 0.0023 | 0.0 | -1.0 | 0.0 | 0.0006 | 0.0017 | 0.0242 | 0.0754 | -1.0 | 0.0 | 0.0776 | 0.0015 | 0.1425 | 0.0002 | 0.0838 | 0.0 | 0.0 |
| 18.3829 | 2.0 | 84 | 22.3031 | 0.0001 | 0.0003 | 0.0 | -1.0 | 0.0 | 0.0001 | 0.0003 | 0.0111 | 0.0505 | -1.0 | 0.0 | 0.0543 | 0.0 | 0.0 | 0.0003 | 0.1515 | 0.0 | 0.0 |
| 12.6798 | 3.0 | 126 | 18.0869 | 0.0013 | 0.0048 | 0.0006 | -1.0 | 0.0001 | 0.0014 | 0.0116 | 0.0877 | 0.2137 | -1.0 | 0.0429 | 0.224 | 0.0018 | 0.1675 | 0.0019 | 0.4525 | 0.0002 | 0.0211 |
| 12.3407 | 4.0 | 168 | 16.4894 | 0.023 | 0.0532 | 0.0209 | -1.0 | 0.0028 | 0.0253 | 0.0933 | 0.2201 | 0.3409 | -1.0 | 0.1701 | 0.3613 | 0.0072 | 0.0375 | 0.0465 | 0.6374 | 0.0153 | 0.3478 |
| 11.5202 | 5.0 | 210 | 16.6346 | 0.0759 | 0.1353 | 0.072 | -1.0 | 0.0238 | 0.0804 | 0.1753 | 0.3318 | 0.4685 | -1.0 | 0.2994 | 0.4833 | 0.0221 | 0.415 | 0.1495 | 0.6293 | 0.056 | 0.3611 |
| 10.8266 | 6.0 | 252 | 16.7964 | 0.0478 | 0.1013 | 0.0416 | -1.0 | 0.0747 | 0.0492 | 0.1604 | 0.3358 | 0.5535 | -1.0 | 0.2266 | 0.5731 | 0.0164 | 0.61 | 0.0912 | 0.6606 | 0.0358 | 0.39 |
| 10.5741 | 7.0 | 294 | 14.9717 | 0.0782 | 0.1557 | 0.0682 | -1.0 | 0.0566 | 0.0819 | 0.2013 | 0.4125 | 0.5793 | -1.0 | 0.2123 | 0.6014 | 0.0235 | 0.6475 | 0.1371 | 0.6626 | 0.0739 | 0.4278 |
| 10.4029 | 8.0 | 336 | 15.0839 | 0.0885 | 0.1835 | 0.0812 | -1.0 | 0.0595 | 0.0932 | 0.2132 | 0.4473 | 0.5749 | -1.0 | 0.1299 | 0.5994 | 0.0341 | 0.6925 | 0.161 | 0.6545 | 0.0704 | 0.3778 |
| 9.9259 | 9.0 | 378 | 14.9783 | 0.1416 | 0.2663 | 0.1187 | -1.0 | 0.0359 | 0.1495 | 0.2359 | 0.4447 | 0.6108 | -1.0 | 0.2318 | 0.6339 | 0.0716 | 0.69 | 0.2244 | 0.699 | 0.1288 | 0.4433 |
| 9.5176 | 10.0 | 420 | 15.0226 | 0.1601 | 0.302 | 0.1381 | -1.0 | 0.1018 | 0.1691 | 0.2342 | 0.4814 | 0.6045 | -1.0 | 0.3084 | 0.6235 | 0.0783 | 0.69 | 0.2668 | 0.6869 | 0.1352 | 0.4367 |
| 9.3748 | 11.0 | 462 | 16.2226 | 0.1894 | 0.3387 | 0.1733 | -1.0 | 0.0955 | 0.1964 | 0.2599 | 0.4897 | 0.6145 | -1.0 | 0.2682 | 0.6361 | 0.159 | 0.7025 | 0.2695 | 0.7111 | 0.1397 | 0.43 |
| 9.2042 | 12.0 | 504 | 15.7788 | 0.1941 | 0.3492 | 0.1943 | -1.0 | 0.1027 | 0.2004 | 0.2632 | 0.5003 | 0.6026 | -1.0 | 0.2773 | 0.6214 | 0.1436 | 0.7075 | 0.3131 | 0.7081 | 0.1255 | 0.3922 |
| 8.8070 | 13.0 | 546 | 15.3817 | 0.2003 | 0.3608 | 0.1933 | -1.0 | 0.1393 | 0.2074 | 0.2804 | 0.5062 | 0.6149 | -1.0 | 0.2708 | 0.6353 | 0.177 | 0.73 | 0.2941 | 0.7081 | 0.1297 | 0.4067 |
| 8.7009 | 14.0 | 588 | 16.3511 | 0.2263 | 0.4101 | 0.2175 | -1.0 | 0.0849 | 0.2353 | 0.2889 | 0.5054 | 0.6006 | -1.0 | 0.1864 | 0.6235 | 0.2408 | 0.715 | 0.288 | 0.6879 | 0.1502 | 0.3989 |
| 8.7887 | 15.0 | 630 | 15.6987 | 0.2323 | 0.4316 | 0.2118 | -1.0 | 0.0478 | 0.2447 | 0.2927 | 0.4922 | 0.5853 | -1.0 | 0.1922 | 0.6087 | 0.1911 | 0.6825 | 0.3247 | 0.6657 | 0.1812 | 0.4078 |
| 8.3357 | 16.0 | 672 | 16.1288 | 0.2687 | 0.4568 | 0.2566 | -1.0 | 0.057 | 0.2795 | 0.2939 | 0.5004 | 0.5913 | -1.0 | 0.2201 | 0.6122 | 0.311 | 0.7025 | 0.339 | 0.6859 | 0.1563 | 0.3856 |
| 8.1628 | 17.0 | 714 | 16.2324 | 0.2595 | 0.4474 | 0.2618 | -1.0 | 0.0486 | 0.2733 | 0.2994 | 0.5051 | 0.6005 | -1.0 | 0.0916 | 0.6281 | 0.2617 | 0.7375 | 0.3408 | 0.6596 | 0.1758 | 0.4044 |
| 7.9911 | 18.0 | 756 | 16.4372 | 0.2829 | 0.4742 | 0.2856 | -1.0 | 0.0997 | 0.2936 | 0.3091 | 0.4983 | 0.5905 | -1.0 | 0.2325 | 0.6124 | 0.3094 | 0.6675 | 0.3641 | 0.6939 | 0.1752 | 0.41 |
| 8.0354 | 19.0 | 798 | 16.2935 | 0.2817 | 0.4902 | 0.2885 | -1.0 | 0.0872 | 0.2925 | 0.3144 | 0.5133 | 0.5951 | -1.0 | 0.1903 | 0.6167 | 0.3241 | 0.705 | 0.3462 | 0.6869 | 0.1749 | 0.3933 |
| 7.6743 | 20.0 | 840 | 17.1765 | 0.2633 | 0.4703 | 0.2387 | -1.0 | 0.054 | 0.2757 | 0.3124 | 0.506 | 0.5809 | -1.0 | 0.0942 | 0.6073 | 0.3024 | 0.705 | 0.3233 | 0.6576 | 0.1643 | 0.38 |
| 7.5240 | 21.0 | 882 | 17.1978 | 0.2816 | 0.4809 | 0.2598 | -1.0 | 0.0604 | 0.2951 | 0.2959 | 0.4943 | 0.5849 | -1.0 | 0.0994 | 0.6134 | 0.2918 | 0.6725 | 0.3733 | 0.6667 | 0.1798 | 0.4156 |
| 7.3807 | 22.0 | 924 | 17.3134 | 0.2652 | 0.4629 | 0.2384 | -1.0 | 0.0692 | 0.2771 | 0.2969 | 0.4931 | 0.5889 | -1.0 | 0.1266 | 0.6138 | 0.2729 | 0.71 | 0.3514 | 0.6566 | 0.1714 | 0.4 |
| 7.1151 | 23.0 | 966 | 17.0971 | 0.2742 | 0.4702 | 0.2667 | -1.0 | 0.0495 | 0.2865 | 0.3096 | 0.509 | 0.6008 | -1.0 | 0.1045 | 0.6275 | 0.309 | 0.7175 | 0.3481 | 0.6616 | 0.1656 | 0.4233 |
| 6.9313 | 24.0 | 1008 | 17.1139 | 0.2742 | 0.4647 | 0.2899 | -1.0 | 0.0612 | 0.2866 | 0.3096 | 0.5009 | 0.5832 | -1.0 | 0.113 | 0.6094 | 0.3169 | 0.69 | 0.3259 | 0.6606 | 0.1799 | 0.3989 |
| 7.0055 | 25.0 | 1050 | 16.9771 | 0.2823 | 0.5006 | 0.2639 | -1.0 | 0.0678 | 0.2947 | 0.3096 | 0.5099 | 0.5819 | -1.0 | 0.1214 | 0.6074 | 0.2902 | 0.6775 | 0.3722 | 0.6505 | 0.1845 | 0.4178 |
| 6.8643 | 26.0 | 1092 | 17.1671 | 0.2717 | 0.4797 | 0.2636 | -1.0 | 0.0522 | 0.2844 | 0.3102 | 0.5146 | 0.5999 | -1.0 | 0.0981 | 0.628 | 0.292 | 0.705 | 0.3676 | 0.6626 | 0.1555 | 0.4322 |
| 6.7321 | 27.0 | 1134 | 17.1871 | 0.2832 | 0.4964 | 0.2763 | -1.0 | 0.0493 | 0.2963 | 0.3067 | 0.4882 | 0.5683 | -1.0 | 0.0682 | 0.5972 | 0.326 | 0.65 | 0.3708 | 0.6515 | 0.1528 | 0.4033 |
| 7.1077 | 28.0 | 1176 | 17.1420 | 0.2683 | 0.4745 | 0.2651 | -1.0 | 0.0577 | 0.281 | 0.2997 | 0.5036 | 0.5741 | -1.0 | 0.0818 | 0.6024 | 0.2823 | 0.6575 | 0.3686 | 0.6414 | 0.1539 | 0.4233 |
| 6.7518 | 29.0 | 1218 | 17.1374 | 0.276 | 0.4947 | 0.2527 | -1.0 | 0.0548 | 0.2887 | 0.3107 | 0.5005 | 0.5766 | -1.0 | 0.0818 | 0.6048 | 0.3023 | 0.6675 | 0.3673 | 0.6424 | 0.1585 | 0.42 |
| 6.9678 | 30.0 | 1260 | 17.1433 | 0.2703 | 0.4858 | 0.2504 | -1.0 | 0.0548 | 0.2829 | 0.3017 | 0.5088 | 0.5802 | -1.0 | 0.0818 | 0.6086 | 0.2876 | 0.67 | 0.3634 | 0.6505 | 0.1597 | 0.42 |
### Framework versions
- Transformers 5.12.1
- Pytorch 2.12.0+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2
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