ModelPublicadoExterno

Rfdetr Docvqa Media3 Trainval Agree2 Medium

This model is a fine-tuned version of Roboflow/rf-detr-medium on an unknown dataset. It achieves the following results on the evaluation set: Loss: 15.6134 Map: 0.283 Map 50: 0.444 Map 75: 0.2928 Map Small: -1.0 Map...

Fuentehuggingface.co/merve/rfdetr-docvqa-media3-trainval-agree2-medium/tree/79e582ed1bb5435335abab11e82edac9f7068622

TipoOtherModelo baseRoboflow/rf-detr-mediumVersiónRevision 79e582eCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 127 MB
Modelo base: Roboflow/rf-detr-medium
Versión: vRevision 79e582e
Actualizado: 16 sept 2026
Descargas: 11
Fuente: Hugging Face

Descripción de la fuente

rfdetr-docvqa-media3-trainval-agree2-medium

This model is a fine-tuned version of Roboflow/rf-detr-medium on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 15.6134
Map: 0.283
Map 50: 0.444
Map 75: 0.2928
Map Small: -1.0
Map Medium: 0.0168
Map Large: 0.3019
Mar 1: 0.2934
Mar 10: 0.5636
Mar 100: 0.6339
Mar Small: -1.0
Mar Medium: 0.0417
Mar Large: 0.6672
Map Chart: 0.3127
Mar 100 Chart: 0.7731
Map Image: 0.348
Mar 100 Image: 0.6877
Map Signature: 0.1883
Mar 100 Signature: 0.4408

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
108.3258	1.0	27	29.7238	0.0001	0.0006	0.0	-1.0	0.0	0.0001	0.0012	0.0076	0.0328	-1.0	0.0	0.036	0.0	0.0154	0.0002	0.0789	0.0	0.0041
33.7814	2.0	54	24.9789	0.0003	0.0009	0.0	-1.0	0.0	0.0003	0.0018	0.0053	0.014	-1.0	0.0	0.0151	0.0	0.0038	0.0007	0.0158	0.0	0.0224
16.5911	3.0	81	24.3980	0.0005	0.0019	0.0002	-1.0	0.0	0.0005	0.0023	0.0209	0.0598	-1.0	0.0	0.0644	0.0004	0.0538	0.0011	0.1053	0.0001	0.0204
14.5205	4.0	108	18.7300	0.0013	0.004	0.0004	-1.0	0.0	0.0014	0.0159	0.0519	0.1827	-1.0	0.0	0.2006	0.0	0.0	0.0017	0.3421	0.0023	0.2061
12.1968	5.0	135	19.3451	0.004	0.0095	0.002	-1.0	0.0	0.0043	0.0306	0.1037	0.2538	-1.0	0.0	0.2795	0.0	0.0	0.0077	0.5246	0.0043	0.2367
11.8570	6.0	162	18.1114	0.0048	0.0115	0.0029	-1.0	0.0038	0.0052	0.0318	0.1482	0.2916	-1.0	0.05	0.3173	0.0	0.0	0.0093	0.6035	0.005	0.2714
11.4029	7.0	189	17.6193	0.0182	0.0366	0.0132	-1.0	0.0092	0.0197	0.0739	0.2067	0.3533	-1.0	0.275	0.366	0.0013	0.1	0.0382	0.6333	0.0152	0.3265
10.9795	8.0	216	16.1149	0.0385	0.0774	0.0356	-1.0	0.0194	0.0414	0.1114	0.335	0.521	-1.0	0.1917	0.5419	0.0085	0.4808	0.075	0.7088	0.0321	0.3735
11.0632	9.0	243	14.9344	0.0437	0.0718	0.0425	-1.0	0.0486	0.0467	0.1281	0.3684	0.5406	-1.0	0.1417	0.5649	0.006	0.5462	0.086	0.686	0.039	0.3898
10.1947	10.0	270	14.7902	0.069	0.1093	0.0702	-1.0	0.121	0.0734	0.1889	0.424	0.6135	-1.0	0.175	0.6373	0.0114	0.6923	0.127	0.7175	0.0686	0.4306
10.4935	11.0	297	14.6825	0.0653	0.1041	0.069	-1.0	0.009	0.07	0.2103	0.4371	0.6194	-1.0	0.0917	0.6495	0.0135	0.7231	0.1074	0.7228	0.075	0.4122
10.0782	12.0	324	14.9505	0.0758	0.1363	0.0728	-1.0	0.0044	0.0811	0.1967	0.4021	0.6321	-1.0	0.1083	0.6604	0.0375	0.7731	0.1237	0.707	0.0662	0.4163
9.8978	13.0	351	14.3118	0.0699	0.1246	0.0636	-1.0	0.0489	0.0748	0.2423	0.4511	0.6483	-1.0	0.1917	0.6717	0.0206	0.7692	0.108	0.7368	0.081	0.4388
9.5010	14.0	378	14.9869	0.0874	0.14	0.0922	-1.0	0.0133	0.094	0.2449	0.5036	0.6457	-1.0	0.1	0.6753	0.0297	0.8038	0.1378	0.7333	0.0947	0.4
9.4850	15.0	405	14.1153	0.1425	0.2483	0.1337	-1.0	0.0285	0.1506	0.2616	0.5246	0.6717	-1.0	0.1583	0.6985	0.131	0.8154	0.1643	0.7526	0.1321	0.4469
9.1458	16.0	432	16.1527	0.1153	0.1919	0.1131	-1.0	0.0013	0.1256	0.2596	0.4627	0.6149	-1.0	0.0167	0.6497	0.0465	0.7423	0.2003	0.6982	0.0992	0.4041
9.0574	17.0	459	14.0260	0.1643	0.2785	0.1726	-1.0	0.0252	0.1736	0.2902	0.5473	0.6675	-1.0	0.1	0.699	0.194	0.7923	0.158	0.7509	0.1409	0.4592
9.0914	18.0	486	15.2129	0.2144	0.3435	0.2318	-1.0	0.0108	0.2268	0.2991	0.5649	0.6741	-1.0	0.05	0.709	0.2405	0.8231	0.2183	0.7298	0.1843	0.4694
8.9114	19.0	513	14.6411	0.221	0.3576	0.2225	-1.0	0.004	0.2347	0.291	0.5638	0.6647	-1.0	0.0333	0.7006	0.2415	0.8115	0.2195	0.7316	0.2021	0.451
8.6744	20.0	540	14.7526	0.2301	0.3709	0.23	-1.0	0.0515	0.2429	0.2909	0.5667	0.6833	-1.0	0.1083	0.715	0.3189	0.8	0.2462	0.7439	0.1251	0.5061
8.4979	21.0	567	15.3168	0.2433	0.3792	0.26	-1.0	0.003	0.2604	0.2843	0.5635	0.6511	-1.0	0.0333	0.6865	0.2627	0.7885	0.2949	0.7281	0.1722	0.4367
8.3844	22.0	594	15.0938	0.2543	0.4056	0.2731	-1.0	0.0185	0.2704	0.2941	0.5667	0.6597	-1.0	0.0583	0.6933	0.2765	0.8	0.3025	0.7158	0.184	0.4633
8.1649	23.0	621	14.9846	0.2254	0.3773	0.2192	-1.0	0.0311	0.2399	0.2838	0.5812	0.6454	-1.0	0.0833	0.6766	0.2499	0.7731	0.2536	0.714	0.1728	0.449
8.1756	24.0	648	15.3787	0.289	0.4327	0.2849	-1.0	0.0224	0.3068	0.3058	0.5927	0.6389	-1.0	0.05	0.6721	0.3623	0.7692	0.3251	0.6965	0.1797	0.451
8.1260	25.0	675	15.3256	0.2641	0.4384	0.2609	-1.0	0.009	0.2831	0.3098	0.5615	0.6467	-1.0	0.0333	0.6815	0.2984	0.7808	0.3159	0.6982	0.1779	0.4612
7.8612	26.0	702	15.3995	0.2981	0.4714	0.2976	-1.0	0.0196	0.3156	0.3017	0.5537	0.6373	-1.0	0.0417	0.6707	0.3596	0.7769	0.3493	0.686	0.1853	0.449
7.9190	27.0	729	15.5125	0.278	0.4423	0.2902	-1.0	0.0168	0.2951	0.3096	0.5595	0.6464	-1.0	0.0417	0.6804	0.3192	0.7808	0.3286	0.6912	0.1862	0.4673
7.8385	28.0	756	15.5406	0.2943	0.4484	0.3169	-1.0	0.0224	0.3119	0.3027	0.5606	0.6345	-1.0	0.05	0.6673	0.3636	0.7692	0.3413	0.6895	0.178	0.4449
7.9839	29.0	783	15.5843	0.2728	0.4273	0.2701	-1.0	0.014	0.2914	0.3025	0.5607	0.6368	-1.0	0.0333	0.6708	0.3053	0.7846	0.3382	0.6912	0.1749	0.4347
8.1108	30.0	810	15.6134	0.283	0.444	0.2928	-1.0	0.0168	0.3019	0.2934	0.5636	0.6339	-1.0	0.0417	0.6672	0.3127	0.7731	0.348	0.6877	0.1883	0.4408

Framework versions

Transformers 5.12.1
Pytorch 2.12.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2

Fuentes

1 fuente

Hugging FacePrincipalVersión 79e582ed1bb5435335abab11e82edac9f7068622

huggingface.co/merve/rfdetr-docvqa-media3-trainval-agree2-medium/tree/79e582ed1bb5435335abab11e82edac9f7068622

Verificado 2 sept

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Artefactos del modelo

2 artefactos

final/model.safetensors

safetensors · 127 MB · SHA-256 6ed366721897…3ec0 · Hugging Face

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model.safetensors

safetensors · 127 MB · SHA-256 6ed366721897…3ec0 · Hugging Face

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Extractos de fuentes

2 extractos

Readme2 septhuggingface.co/merve/rfdetr-docvqa-media3-trainval-agree2-medium

--- library_name: transformers license: apache-2.0 base_model: Roboflow/rf-detr-medium tags: - generated_from_trainer model-index: - name: rfdetr-docvqa-media3-trainval-agree2-medium results: [] ---  # rfdetr-docvqa-media3-trainval-agree2-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: 15.6134 - Map: 0.283 - Map 50: 0.444 - Map 75: 0.2928 - Map Small: -1.0 - Map Medium: 0.0168 - Map Large: 0.3019 - Mar 1: 0.2934 - Mar 10: 0.5636 - Mar 100: 0.6339 - Mar Small: -1.0 - Mar Medium: 0.0417 - Mar Large: 0.6672 - Map Chart: 0.3127 - Mar 100 Chart: 0.7731 - Map Image: 0.348 - Mar 100 Image: 0.6877 - Map Signature: 0.1883 - Mar 100 Signature: 0.4408 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:---------:|:-------------:|:---------:|:-------------:|:-------------:|:-----------------:| | 108.3258 | 1.0 | 27 | 29.7238 | 0.0001 | 0.0006 | 0.0 | -1.0 | 0.0 | 0.0001 | 0.0012 | 0.0076 | 0.0328 | -1.0 | 0.0 | 0.036 | 0.0 | 0.0154 | 0.0002 | 0.0789 | 0.0 | 0.0041 | | 33.7814 | 2.0 | 54 | 24.9789 | 0.0003 | 0.0009 | 0.0 | -1.0 | 0.0 | 0.0003 | 0.0018...

Note2 septhuggingface.co/merve/rfdetr-docvqa-media3-trainval-agree2-medium

Source context: 11 downloads · 0 likes · Pipeline object-detection · Library transformers · Repo merve/rfdetr-docvqa-media3-trainval-agree2-medium