.gitignore

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-checkpoint-*/

README.md

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----
-license: apache-2.0
-tags:
-- vision
-- depth-estimation
-- generated_from_trainer
-model-index:
-- name: glpn-kitti-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-kitti-finetuned-diode
-
-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: 0.5845
-- Rmse: 0.6175
-
-## 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   | 0.8001          | 0.8455 |
-| 0.8187        | 2.0   | 20   | 0.7558          | 0.7907 |
-| 0.8187        | 3.0   | 30   | 0.7391          | 0.7379 |
-| 0.7618        | 4.0   | 40   | 0.6937          | 0.6895 |
-| 0.7618        | 5.0   | 50   | 0.6954          | nan    |
-| 0.6917        | 6.0   | 60   | 0.6834          | nan    |
-| 0.6917        | 7.0   | 70   | 0.6719          | nan    |
-| 0.6625        | 8.0   | 80   | 0.6634          | nan    |
-| 0.6625        | 9.0   | 90   | 0.6592          | nan    |
-| 0.6553        | 10.0  | 100  | 0.6579          | nan    |
-
-
-### Framework versions
-
-- Transformers 4.24.0
-- Pytorch 1.12.1+cu113
-- Tokenizers 0.13.2

config.json

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-{
-  "_name_or_path": "vinvino02/glpn-kitti",
-  "architectures": [
-    "GLPNForDepthEstimation"
-  ],
-  "attention_probs_dropout_prob": 0.0,
-  "classifier_dropout_prob": 0.1,
-  "decoder_hidden_size": 64,
-  "depths": [
-    3,
-    8,
-    27,
-    3
-  ],
-  "downsampling_rates": [
-    1,
-    4,
-    8,
-    16
-  ],
-  "drop_path_rate": 0.1,
-  "head_in_index": -1,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.0,
-  "hidden_sizes": [
-    64,
-    128,
-    320,
-    512
-  ],
-  "image_size": 224,
-  "initializer_range": 0.02,
-  "layer_norm_eps": 1e-06,
-  "max_depth": 10,
-  "mlp_ratios": [
-    4,
-    4,
-    4,
-    4
-  ],
-  "model_type": "glpn",
-  "num_attention_heads": [
-    1,
-    2,
-    5,
-    8
-  ],
-  "num_channels": 3,
-  "num_encoder_blocks": 4,
-  "patch_sizes": [
-    7,
-    3,
-    3,
-    3
-  ],
-  "sr_ratios": [
-    8,
-    4,
-    2,
-    1
-  ],
-  "strides": [
-    4,
-    2,
-    2,
-    2
-  ],
-  "torch_dtype": "float32",
-  "transformers_version": "4.24.0"
-}

preprocessor_config.json

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-{
-  "do_rescale": true,
-  "do_resize": true,
-  "feature_extractor_type": "GLPNImageProcessor",
-  "resample": 2,
-  "size_divisor": 32
-}