2022-11-11 05:49:31 +00:00
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---
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license: apache-2.0
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tags:
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- vision
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- depth-estimation
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- generated_from_trainer
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model-index:
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- name: glpn-nyu-finetuned-diode
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# glpn-nyu-finetuned-diode
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This model is a fine-tuned version of [vinvino02/glpn-nyu](https://huggingface.co/vinvino02/glpn-nyu) on the diode-subset dataset.
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It achieves the following results on the evaluation set:
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2022-11-11 06:07:13 +00:00
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- Loss: 0.4359
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- Rmse: 0.4276
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2022-11-11 05:49:31 +00:00
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 24
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- eval_batch_size: 24
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rmse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 13 | 1.2498 | 0.9726 |
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| 0.8469 | 2.0 | 26 | 1.0661 | nan |
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| 0.8469 | 3.0 | 39 | 0.9959 | 0.5287 |
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| 0.6946 | 4.0 | 52 | 0.8550 | 0.4084 |
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| 0.586 | 5.0 | 65 | 0.7679 | 0.3603 |
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| 0.586 | 6.0 | 78 | 0.6650 | 0.3119 |
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| 0.5195 | 7.0 | 91 | 0.6837 | 0.3370 |
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| 0.4737 | 8.0 | 104 | 0.6638 | 0.3366 |
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| 0.4737 | 9.0 | 117 | 0.6522 | 0.3250 |
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| 0.4663 | 10.0 | 130 | 0.6461 | 0.3153 |
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2022-11-11 05:49:31 +00:00
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Tokenizers 0.13.2
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