End of training
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README.md
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8513
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 2.235 | 0.08 | 200 | 2.0882 |
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| 2.0278 | 0.16 | 400 | 2.0542 |
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| 1.7003 | 0.24 | 600 | 1.6411 |
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| 1.7188 | 0.32 | 800 | 1.6111 |
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| 1.4488 | 0.4 | 1000 | 1.3552 |
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| 1.4492 | 0.48 | 1200 | 1.4768 |
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| 1.3457 | 0.56 | 1400 | 1.3206 |
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| 1.3914 | 0.64 | 1600 | 1.3176 |
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| 1.2392 | 0.72 | 1800 | 1.1918 |
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| 1.1335 | 0.8 | 2000 | 1.1535 |
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| 1.1321 | 0.88 | 2200 | 1.1134 |
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| 1.1088 | 0.96 | 2400 | 1.0808 |
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| 1.0792 | 1.04 | 2600 | 1.0290 |
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| 1.0801 | 1.12 | 2800 | 1.0240 |
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| 0.9925 | 1.2 | 3000 | 0.9858 |
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| 1.001 | 1.28 | 3200 | 0.9476 |
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| 0.9654 | 1.36 | 3400 | 0.9389 |
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| 0.9802 | 1.44 | 3600 | 0.9158 |
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| 0.947 | 1.52 | 3800 | 0.9130 |
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| 0.9489 | 1.6 | 4000 | 0.9004 |
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| 0.8446 | 1.68 | 4200 | 0.8881 |
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| 0.8854 | 1.76 | 4400 | 0.8774 |
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| 0.9502 | 1.84 | 4600 | 0.8606 |
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| 0.8816 | 1.92 | 4800 | 0.8616 |
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| 0.8936 | 2.0 | 5000 | 0.8513 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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