End of training
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- training_args.bin +1 -1
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 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 200
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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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### Framework versions
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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: 6.3818
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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: 0.001
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 200
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- num_epochs: 20
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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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| 3.9549 | 1.0 | 500 | 8.6487 |
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| 3.7386 | 2.0 | 1000 | 6.6653 |
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| 3.2303 | 3.0 | 1500 | 6.5420 |
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| 3.0704 | 4.0 | 2000 | 6.6156 |
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| 3.0275 | 5.0 | 2500 | 6.9053 |
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| 3.0644 | 6.0 | 3000 | 6.4292 |
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| 2.9575 | 7.0 | 3500 | 6.4167 |
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| 3.0707 | 8.0 | 4000 | 7.0283 |
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| 2.8764 | 9.0 | 4500 | 6.4162 |
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| 2.9142 | 10.0 | 5000 | 6.7128 |
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| 2.8474 | 11.0 | 5500 | 6.7765 |
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| 2.9095 | 12.0 | 6000 | 6.6026 |
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| 2.8555 | 13.0 | 6500 | 6.6679 |
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| 2.8619 | 14.0 | 7000 | 6.6986 |
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| 2.8407 | 15.0 | 7500 | 6.6944 |
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| 2.8214 | 16.0 | 8000 | 6.6572 |
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| 2.8244 | 17.0 | 8500 | 6.6596 |
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| 2.8092 | 18.0 | 9000 | 6.6372 |
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| 2.8896 | 19.0 | 9500 | 6.6237 |
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| 2.8422 | 20.0 | 10000 | 6.6249 |
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### Framework versions
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model.safetensors
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training_args.bin
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