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--- |
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license: other |
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base_model: nvidia/mit-b0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: segformer-b0-scene-parse-150 |
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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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# segformer-b0-scene-parse-150 |
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: -34.0382 |
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- Mean Iou: 0.0 |
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- Mean Accuracy: nan |
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- Overall Accuracy: nan |
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- Per Category Iou: [0.0] |
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- Per Category Accuracy: [nan] |
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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: 6e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------:|:---------------------:| |
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| -14.0066 | 0.95 | 20 | -4.7161 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -22.6107 | 1.9 | 40 | -10.5378 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -19.9201 | 2.86 | 60 | -21.2021 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -28.3712 | 3.81 | 80 | -21.2437 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -37.3469 | 4.76 | 100 | -28.5338 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -37.3102 | 5.71 | 120 | -31.3866 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -39.3847 | 6.67 | 140 | -36.0143 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -39.0931 | 7.62 | 160 | -31.5379 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -43.0727 | 8.57 | 180 | -33.0026 | 0.0 | nan | nan | [0.0] | [nan] | |
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| -47.8338 | 9.52 | 200 | -34.0382 | 0.0 | nan | nan | [0.0] | [nan] | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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