Model save

README.md

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+---
+license: other
+base_model: nvidia/mit-b0
+tags:
+- generated_from_trainer
+model-index:
+- name: model1
+  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. -->
+
+# model1
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3138
+- Mean Iou: 0.0868
+- Mean Accuracy: 0.1217
+- Overall Accuracy: 0.2285
+- Accuracy Background: nan
+- Accuracy Ship: 0.1353
+- Accuracy Small-vehicle: 0.0001
+- Accuracy Tennis-court: 0.7306
+- Accuracy Helicopter: nan
+- Accuracy Basketball-court: 0.0
+- Accuracy Ground-track-field: 0.0
+- Accuracy Swimming-pool: 0.0
+- Accuracy Harbor: 0.5786
+- Accuracy Soccer-ball-field: 0.0
+- Accuracy Plane: 0.0
+- Accuracy Storage-tank: 0.0
+- Accuracy Baseball-diamond: 0.0
+- Accuracy Large-vehicle: 0.2588
+- Accuracy Bridge: 0.0
+- Accuracy Roundabout: 0.0
+- Iou Background: 0.0
+- Iou Ship: 0.0532
+- Iou Small-vehicle: 0.0001
+- Iou Tennis-court: 0.7062
+- Iou Helicopter: nan
+- Iou Basketball-court: 0.0
+- Iou Ground-track-field: 0.0
+- Iou Swimming-pool: 0.0
+- Iou Harbor: 0.2868
+- Iou Soccer-ball-field: 0.0
+- Iou Plane: 0.0
+- Iou Storage-tank: 0.0
+- Iou Baseball-diamond: 0.0
+- Iou Large-vehicle: 0.2563
+- Iou Bridge: 0.0
+- Iou Roundabout: 0.0
+
+## 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: 6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: polynomial
+- training_steps: 200
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Ship | Accuracy Small-vehicle | Accuracy Tennis-court | Accuracy Helicopter | Accuracy Basketball-court | Accuracy Ground-track-field | Accuracy Swimming-pool | Accuracy Harbor | Accuracy Soccer-ball-field | Accuracy Plane | Accuracy Storage-tank | Accuracy Baseball-diamond | Accuracy Large-vehicle | Accuracy Bridge | Accuracy Roundabout | Iou Background | Iou Ship | Iou Small-vehicle | Iou Tennis-court | Iou Helicopter | Iou Basketball-court | Iou Ground-track-field | Iou Swimming-pool | Iou Harbor | Iou Soccer-ball-field | Iou Plane | Iou Storage-tank | Iou Baseball-diamond | Iou Large-vehicle | Iou Bridge | Iou Roundabout |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:-------------:|:----------------------:|:---------------------:|:-------------------:|:-------------------------:|:---------------------------:|:----------------------:|:---------------:|:--------------------------:|:--------------:|:---------------------:|:-------------------------:|:----------------------:|:---------------:|:-------------------:|:--------------:|:--------:|:-----------------:|:----------------:|:--------------:|:--------------------:|:----------------------:|:-----------------:|:----------:|:---------------------:|:---------:|:----------------:|:--------------------:|:-----------------:|:----------:|:--------------:|
+| 2.069         | 1.0   | 105  | 1.4975          | 0.0942   | 0.1496        | 0.2837           | nan                 | 0.4327        | 0.0002                 | 0.8374                | nan                 | 0.0                       | 0.0                         | 0.0                    | 0.4733          | 0.0002                     | 0.0            | 0.0                   | 0.0                       | 0.3506                 | 0.0             | 0.0                 | 0.0            | 0.0794   | 0.0002            | 0.7660           | nan            | 0.0                  | 0.0                    | 0.0               | 0.2213     | 0.0002                | 0.0       | 0.0              | 0.0                  | 0.3460            | 0.0        | 0.0            |
+| 1.5141        | 1.9   | 200  | 1.3138          | 0.0868   | 0.1217        | 0.2285           | nan                 | 0.1353        | 0.0001                 | 0.7306                | nan                 | 0.0                       | 0.0                         | 0.0                    | 0.5786          | 0.0                        | 0.0            | 0.0                   | 0.0                       | 0.2588                 | 0.0             | 0.0                 | 0.0            | 0.0532   | 0.0001            | 0.7062           | nan            | 0.0                  | 0.0                    | 0.0               | 0.2868     | 0.0                   | 0.0       | 0.0              | 0.0                  | 0.2563            | 0.0        | 0.0            |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1