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Glpn Nyu Finetuned

This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset. It achieves the following results on the evaluation set: Loss: 1.5286 Mae: 3.1196 Rmse: 3.5796 Abs Rel: 5.9353 Log Mae: 0.6899 Log...

Quellehuggingface.co/Onegafer/glpn-nyu-finetuned/tree/efbdb23f2186785ef4b0eb560f201a066dc564f1
ArtOtherVersionRevision efbdb23BBewertung

Modellquelle

Art
Other
Dateigröße
234 MB
Version
vRevision efbdb23
Aktualisiert
9. Okt. 2026
Downloads
5
Quelle
Hugging Face

Quellenbeschreibung

glpn-nyu-finetuned

This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5286
  • Mae: 3.1196
  • Rmse: 3.5796
  • Abs Rel: 5.9353
  • Log Mae: 0.6899
  • Log Rmse: 0.8145
  • Delta1: 0.3012
  • Delta2: 0.3076
  • Delta3: 0.3093

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: 1e-05
  • train_batch_size: 24
  • eval_batch_size: 48
  • seed: 2022
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossMaeRmseAbs RelLog MaeLog RmseDelta1Delta2Delta3
No log1.011.54763.21123.71336.15860.69800.82670.29980.30730.3091
No log2.021.54413.19393.68896.11810.69650.82450.30010.30730.3091
No log3.031.54103.17833.66686.08110.69510.82250.30030.30740.3092
No log4.041.53813.16433.64656.04740.69390.82070.30050.30740.3092
No log5.051.53553.15203.62856.01720.69280.81900.30070.30750.3092
No log6.061.53333.14153.61285.99090.69180.81760.30090.30750.3092
No log7.071.53153.13293.59995.96930.69110.81640.30100.30750.3093
No log8.081.53013.12643.59015.95290.69050.81550.30110.30750.3093
No log9.091.52913.12193.58325.94130.69010.81490.30120.30760.3093
No log10.0101.52863.11963.57965.93530.68990.81450.30120.30760.3093

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Tokenizers 0.13.3

Quellen

1 Quelle
Hugging FacePrimärVersion efbdb23f2186785ef4b0eb560f201a066dc564f1
huggingface.co/Onegafer/glpn-nyu-finetuned/tree/efbdb23f2186785ef4b0eb560f201a066dc564f1

Verifiziert 25. Aug.

Modellartefakte

1 Artefakt

pytorch_model.bin

bin · 234 MB · SHA-256 6a184ed23360…1017 · Hugging Face

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Quellenauszüge

2 Auszüge
Readme25. Aug.huggingface.co/Onegafer/glpn-nyu-finetuned

--- license: apache-2.0 tags: - vision - depth-estimation - generated_from_trainer model-index: - name: glpn-nyu-finetuned 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. --> # glpn-nyu-finetuned This model is a fine-tuned version of [vinvino02/glpn-nyu](https://huggingface.co/vinvino02/glpn-nyu) on the diode-subset dataset. It achieves the following results on the evaluation set: - Loss: 1.5286 - Mae: 3.1196 - Rmse: 3.5796 - Abs Rel: 5.9353 - Log Mae: 0.6899 - Log Rmse: 0.8145 - Delta1: 0.3012 - Delta2: 0.3076 - Delta3: 0.3093 ## 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: 1e-05 - train_batch_size: 24 - eval_batch_size: 48 - seed: 2022 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Mae | Rmse | Abs Rel | Log Mae | Log Rmse | Delta1 | Delta2 | Delta3 | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|:-------:|:--------:|:------:|:------:|:------:| | No log | 1.0 | 1 | 1.5476 | 3.2112 | 3.7133 | 6.1586 | 0.6980 | 0.8267 | 0.2998 | 0.3073 | 0.3091 | | No log | 2.0 | 2 | 1.5441 | 3.1939 | 3.6889 | 6.1181 | 0.6965 | 0.8245 | 0.3001 | 0.3073 | 0.3091 | | No log | 3.0 | 3 | 1.5410 | 3.1783 | 3.6668 | 6.0811 | 0.6951 | 0.8225 | 0.3003 | 0.3074 | 0.3092 | | No log | 4.0 | 4 | 1.5381 | 3.1643 | 3.6465 | 6.0474 | 0.6939 | 0.8207 | 0.3005 | 0.3074 | 0.3092 | | No log | 5.0 | 5 | 1.5355 | 3.1520 | 3.6285 | 6.0172 | 0.6928 | 0.8190 | 0.3007 | 0.3075 | 0.3092 | | No log | 6.0 | 6 | 1.5333 | 3.1415 | 3.6128 | 5.9909 | 0.6918 | 0.8176 | 0.3009 | 0.3075 | 0.3092 | | No log | 7.0 | 7 | 1.5315 | 3.1329 | 3.5999 | 5.9693 | 0.6911 | 0.8164 | 0.3010 | 0.3075 | 0.3093 | | No log | 8.0 | 8 | 1.5301 | 3.1264 | 3.5901 | 5.9529 | 0.6905 | 0.8155 | 0.3011 | 0.3075 | 0.3093 | | No log | 9.0 | 9 | 1.5291 | 3.1219 | 3.5832 | 5.9413 | 0.6901 | 0.8149 | 0.3012 | 0.3076...

Note25. Aug.huggingface.co/Onegafer/glpn-nyu-finetuned

Source context: 5 downloads · 0 likes · Pipeline depth-estimation · Library transformers · Repo Onegafer/glpn-nyu-finetuned