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sayakpaul/glpn-nyu-finetuned-diode-221116-054332

glpn-nyu-finetuned-diode-22...

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glpn-nyu-finetuned-diode-221116-054332

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: 0.6028
  • Rmse: nan


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 Rmse
1.6801 1.0 72 1.3466 nan
1.2071 2.0 144 0.8388 nan
0.7548 3.0 216 0.6771 nan
0.6401 4.0 288 0.6443 nan
0.629 5.0 360 0.6452 nan
0.5892 6.0 432 0.6202 nan
0.5773 7.0 504 0.6262 nan
0.5532 8.0 576 0.6151 nan
0.5268 9.0 648 0.5995 nan
0.5416 10.0 720 0.6028 nan


Framework versions

  • Transformers 4.24.0
  • Pytorch 1.13.0+cu117
  • Tokenizers 0.13.2

数据统计

数据评估

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