Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/detr-resnet-50-dc5
+tags:
+- generated_from_trainer
+model-index:
+- name: 020924-detr-segment-detect-debug
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# 020924-detr-segment-detect-debug
+
+This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.5982
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 6.9812        | 0.7692 | 50   | 7.6597          |
+| 5.1829        | 1.5385 | 100  | 7.4352          |
+| 4.5311        | 2.3077 | 150  | 7.1001          |
+| 3.9432        | 3.0769 | 200  | 6.5982          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1