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update model card README.md

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Sayak Paul 2022-11-11 05:03:52 +00:00
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@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
This model is a fine-tuned version of [vinvino02/glpn-kitti](https://huggingface.co/vinvino02/glpn-kitti) on the diode-subset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4947
- Rmse: 0.4399
- Loss: 0.8818
- Rmse: 0.7721
## Model description
@ -47,18 +47,18 @@ The following hyperparameters were used during training:
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8555 | 1.0 | 10 | 0.6764 | 0.5844 |
| 0.7688 | 2.0 | 20 | 0.6335 | 0.5344 |
| 0.7099 | 3.0 | 30 | 0.5967 | 0.5203 |
| 0.6526 | 4.0 | 40 | 0.5602 | 0.4932 |
| 0.5928 | 5.0 | 50 | 0.5235 | 0.4576 |
| 0.5746 | 6.0 | 60 | 0.4981 | 0.4160 |
| 0.5335 | 7.0 | 70 | 0.4794 | 0.3926 |
| 0.5009 | 8.0 | 80 | 0.4697 | 0.3816 |
| 0.4811 | 9.0 | 90 | 0.4629 | nan |
| 0.473 | 10.0 | 100 | 0.4633 | 0.3714 |
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|:-------------:|:-----:|:----:|:---------------:|:----:|
| No log | 1.0 | 10 | 0.8395 | nan |
| 0.9442 | 2.0 | 20 | 0.8097 | nan |
| 0.894 | 3.0 | 30 | 0.7852 | nan |
| 0.894 | 4.0 | 40 | 0.7784 | nan |
| 0.8759 | 5.0 | 50 | 0.7690 | nan |
| 0.8475 | 6.0 | 60 | 0.7591 | nan |
| 0.8475 | 7.0 | 70 | 0.7493 | nan |
| 0.8312 | 8.0 | 80 | 0.7440 | nan |
| 0.83 | 9.0 | 90 | 0.7400 | nan |
| 0.83 | 10.0 | 100 | 0.7404 | nan |
### Framework versions