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checkpoint-*/
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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-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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{
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"_name_or_path": "vinvino02/glpn-kitti",
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"architectures": [
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"GLPNForDepthEstimation"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout_prob": 0.1,
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"decoder_hidden_size": 64,
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"depths": [
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3,
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8,
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27,
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3
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],
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"downsampling_rates": [
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1,
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4,
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8,
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16
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],
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"drop_path_rate": 0.1,
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"head_in_index": -1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_sizes": [
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64,
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128,
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320,
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512
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],
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"image_size": 224,
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"initializer_range": 0.02,
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"layer_norm_eps": 1e-06,
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"max_depth": 10,
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"mlp_ratios": [
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4,
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4,
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4,
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4
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],
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"model_type": "glpn",
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"num_attention_heads": [
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1,
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2,
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5,
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8
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],
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"num_channels": 3,
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"num_encoder_blocks": 4,
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"patch_sizes": [
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7,
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3,
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3,
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3
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],
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"sr_ratios": [
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8,
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4,
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2,
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1
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],
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"strides": [
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4,
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2,
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2,
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2
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],
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"torch_dtype": "float32",
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"transformers_version": "4.24.0"
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}
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{
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "GLPNImageProcessor",
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"resample": 2,
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"size_divisor": 32
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}
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