End of training
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README.md
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 58.744
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- eval_samples_per_second: 0.851
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- eval_steps_per_second: 0.426
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- epoch: 1.6
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- step: 80
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Framework versions
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- Transformers 4.35.2
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0020
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- Mean Iou: 1.0
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- Mean Accuracy: 1.0
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- Overall Accuracy: 1.0
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- Per Category Iou: [1.0]
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- Per Category Accuracy: [1.0]
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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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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| 0.0119 | 0.4 | 20 | 0.0266 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0049 | 0.8 | 40 | 0.0080 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0014 | 1.2 | 60 | 0.0038 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0043 | 1.6 | 80 | 0.0048 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0014 | 2.0 | 100 | 0.0032 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0009 | 2.4 | 120 | 0.0034 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0029 | 2.8 | 140 | 0.0027 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0007 | 3.2 | 160 | 0.0024 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0021 | 3.6 | 180 | 0.0025 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0014 | 4.0 | 200 | 0.0023 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0012 | 4.4 | 220 | 0.0021 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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| 0.0027 | 4.8 | 240 | 0.0020 | 1.0 | 1.0 | 1.0 | [1.0] | [1.0] |
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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