learning_rate: 5e-05
train_batch_size: 4
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
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 Raccoon	Mar 100 Raccoon
No log	1.0	34	0.9475	0.2549	0.4297	0.3023	-1.0	0.2653	0.2529	0.544	0.704	0.78	-1.0	0.75	0.7895	0.2549	0.78
No log	2.0	68	0.9639	0.2029	0.3248	0.2565	-1.0	0.2757	0.2073	0.488	0.684	0.748	-1.0	0.6167	0.7895	0.2029	0.748
No log	3.0	102	0.7801	0.2075	0.288	0.2696	-1.0	0.1697	0.2388	0.548	0.704	0.836	-1.0	0.8167	0.8421	0.2075	0.836
No log	4.0	136	0.8061	0.2242	0.3216	0.265	-1.0	0.2071	0.2506	0.548	0.764	0.812	-1.0	0.6667	0.8579	0.2242	0.812
No log	5.0	170	0.8075	0.3277	0.4756	0.3923	-1.0	0.3638	0.3505	0.572	0.788	0.804	-1.0	0.7167	0.8316	0.3277	0.804
No log	6.0	204	0.7787	0.3919	0.5846	0.4695	-1.0	0.3602	0.4408	0.596	0.78	0.796	-1.0	0.6667	0.8368	0.3919	0.796
No log	7.0	238	0.7985	0.3931	0.5993	0.4585	-1.0	0.3412	0.4451	0.552	0.78	0.804	-1.0	0.65	0.8526	0.3931	0.804
No log	8.0	272	0.8611	0.4455	0.6783	0.4616	-1.0	0.2778	0.5135	0.612	0.748	0.776	-1.0	0.6333	0.8211	0.4455	0.776
No log	9.0	306	0.7963	0.5003	0.6887	0.6469	-1.0	0.3144	0.5693	0.676	0.792	0.812	-1.0	0.7167	0.8421	0.5003	0.812
No log	10.0	340	0.7678	0.5307	0.7645	0.6182	-1.0	0.3358	0.6056	0.64	0.792	0.84	-1.0	0.7333	0.8737	0.5307	0.84
No log	11.0	374	0.8174	0.5732	0.8863	0.6693	-1.0	0.3751	0.6412	0.644	0.776	0.816	-1.0	0.6833	0.8579	0.5732	0.816
No log	12.0	408	0.7767	0.6043	0.9147	0.7609	-1.0	0.4548	0.6596	0.64	0.78	0.8	-1.0	0.6667	0.8421	0.6043	0.8
No log	13.0	442	0.8950	0.6163	0.9183	0.7413	-1.0	0.4484	0.6731	0.656	0.756	0.784	-1.0	0.6667	0.8211	0.6163	0.784
No log	14.0	476	0.8269	0.6288	0.9025	0.7538	-1.0	0.4068	0.7025	0.648	0.788	0.816	-1.0	0.75	0.8368	0.6288	0.816
0.7388	15.0	510	0.8983	0.6407	0.9235	0.7479	-1.0	0.4714	0.6943	0.664	0.752	0.768	-1.0	0.6833	0.7947	0.6407	0.768
0.7388	16.0	544	0.9422	0.6247	0.94	0.7166	-1.0	0.4157	0.6918	0.66	0.756	0.772	-1.0	0.6667	0.8053	0.6247	0.772
0.7388	17.0	578	0.8218	0.6537	0.9464	0.7412	-1.0	0.4655	0.7159	0.684	0.76	0.8	-1.0	0.7333	0.8211	0.6537	0.8
0.7388	18.0	612	0.8448	0.6418	0.9376	0.691	-1.0	0.4467	0.7128	0.68	0.772	0.8	-1.0	0.6833	0.8368	0.6418	0.8
0.7388	19.0	646	0.8788	0.6278	0.9462	0.6923	-1.0	0.4348	0.6959	0.68	0.752	0.78	-1.0	0.6167	0.8316	0.6278	0.78
0.7388	20.0	680	0.8653	0.6346	0.9573	0.6857	-1.0	0.4573	0.7008	0.692	0.756	0.776	-1.0	0.65	0.8158	0.6346	0.776
0.7388	21.0	714	0.8551	0.6384	0.9681	0.6898	-1.0	0.4685	0.7025	0.68	0.768	0.784	-1.0	0.6333	0.8316	0.6384	0.784
0.7388	22.0	748	0.8436	0.6477	0.9652	0.6842	-1.0	0.5123	0.7007	0.692	0.772	0.796	-1.0	0.6833	0.8316	0.6477	0.796
0.7388	23.0	782	0.7964	0.6556	0.9613	0.699	-1.0	0.4715	0.7161	0.688	0.78	0.804	-1.0	0.7	0.8368	0.6556	0.804
0.7388	24.0	816	0.8051	0.6549	0.9599	0.7273	-1.0	0.5001	0.7067	0.7	0.788	0.812	-1.0	0.7	0.8474	0.6549	0.812
0.7388	25.0	850	0.8197	0.6532	0.9641	0.6841	-1.0	0.5032	0.7112	0.7	0.792	0.808	-1.0	0.7	0.8421	0.6532	0.808
0.7388	26.0	884	0.8300	0.6483	0.9643	0.6847	-1.0	0.5014	0.7053	0.692	0.784	0.812	-1.0	0.7	0.8474	0.6483	0.812
0.7388	27.0	918	0.8286	0.6512	0.9644	0.6845	-1.0	0.4779	0.7151	0.692	0.78	0.804	-1.0	0.6667	0.8474	0.6512	0.804
0.7388	28.0	952	0.8287	0.6451	0.9644	0.6767	-1.0	0.4571	0.7148	0.688	0.784	0.804	-1.0	0.6667	0.8474	0.6451	0.804
0.7388	29.0	986	0.8271	0.6447	0.9644	0.6769	-1.0	0.4569	0.7145	0.688	0.78	0.804	-1.0	0.6667	0.8474	0.6447	0.804
0.4795	30.0	1020	0.8268	0.6447	0.9644	0.6768	-1.0	0.4569	0.7145	0.688	0.78	0.804	-1.0	0.6667	0.8474	0.6447	0.804

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

lucasaf04/yolo_raccoon_dataset

yolo_raccoon_dataset

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lucasaf04/
yolo_raccoon_dataset