update model card README.md

README.md

@@ -0,0 +1,68 @@
+---
+license: apache-2.0
+tags:
+- vision
+- depth-estimation
+- generated_from_trainer
+model-index:
+- name: glpn-nyu-finetuned-diode
+  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-diode
+
+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: 0.8193
+- Rmse: 0.8077
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 10   | 0.9152          | nan    |
+| 0.8958        | 2.0   | 20   | 0.8413          | nan    |
+| 0.8958        | 3.0   | 30   | 0.7873          | 1.0697 |
+| 0.7472        | 4.0   | 40   | 0.7405          | 0.9340 |
+| 0.7472        | 5.0   | 50   | 0.7017          | 0.8441 |
+| 0.6999        | 6.0   | 60   | 0.6785          | 0.7959 |
+| 0.6999        | 7.0   | 70   | 0.6656          | 0.7672 |
+| 0.6917        | 8.0   | 80   | 0.6490          | 0.7413 |
+| 0.6917        | 9.0   | 90   | 0.6413          | 0.7212 |
+| 0.6527        | 10.0  | 100  | 0.6408          | 0.7146 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Tokenizers 0.13.2