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End of training
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README.md
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# detr-resnet-101_finetuned_CSGO
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This model is a fine-tuned version of [ShaneOD2611/detr-resnet-101_finetuned_CSGO](https://huggingface.co/ShaneOD2611/detr-resnet-101_finetuned_CSGO) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5627
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 8
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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:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.5139 | 1.0 | 222 | 0.6154 |
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| 0.4923 | 2.0 | 444 | 0.6086 |
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| 0.4593 | 3.0 | 666 | 0.6243 |
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| 0.4856 | 4.0 | 888 | 0.6103 |
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| 0.4965 | 5.0 | 1110 | 0.6159 |
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| 0.4837 | 6.0 | 1332 | 0.5696 |
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| 0.4401 | 7.0 | 1554 | 0.5751 |
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| 0.4175 | 8.0 | 1776 | 0.5658 |
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| 0.4391 | 9.0 | 1998 | 0.5676 |
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| 0.4117 | 10.0 | 2220 | 0.5627 |
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### Framework versions
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- Transformers 4.38.2
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# detr-resnet-101_finetuned_CSGO
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This model is a fine-tuned version of [ShaneOD2611/detr-resnet-101_finetuned_CSGO](https://huggingface.co/ShaneOD2611/detr-resnet-101_finetuned_CSGO) on an unknown dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.2
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