69 lines
1.9 KiB
Markdown
69 lines
1.9 KiB
Markdown
---
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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-kitti-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-kitti-finetuned-diode
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This model is a fine-tuned version of [vinvino02/glpn-kitti](https://huggingface.co/vinvino02/glpn-kitti) on the diode-subset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5845
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- Rmse: 0.6175
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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: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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### 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 | 10 | 0.8001 | 0.8455 |
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| 0.8187 | 2.0 | 20 | 0.7558 | 0.7907 |
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| 0.8187 | 3.0 | 30 | 0.7391 | 0.7379 |
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| 0.7618 | 4.0 | 40 | 0.6937 | 0.6895 |
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| 0.7618 | 5.0 | 50 | 0.6954 | nan |
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| 0.6917 | 6.0 | 60 | 0.6834 | nan |
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| 0.6917 | 7.0 | 70 | 0.6719 | nan |
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| 0.6625 | 8.0 | 80 | 0.6634 | nan |
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| 0.6625 | 9.0 | 90 | 0.6592 | nan |
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| 0.6553 | 10.0 | 100 | 0.6579 | nan |
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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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