End of training

README.md

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+---
+base_model: jozhang97/deta-resnet-50-24-epochs
+tags:
+- generated_from_trainer
+model-index:
+- name: deta-resnet-50_finetuned_CSGO
+  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. -->
+
+# deta-resnet-50_finetuned_CSGO
+
+This model is a fine-tuned version of [jozhang97/deta-resnet-50-24-epochs](https://huggingface.co/jozhang97/deta-resnet-50-24-epochs) on an unknown dataset.
+
+## 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
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "jozhang97/deta-resnet-50-24-epochs",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "DetaForObjectDetection"
+  ],
+  "assign_first_stage": true,
+  "assign_second_stage": true,
+  "attention_dropout": 0.0,
+  "auxiliary_loss": false,
+  "backbone": null,
+  "backbone_config": {
+    "model_type": "resnet",
+    "out_features": [
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "out_indices": [
+      2,
+      3,
+      4
+    ]
+  },
+  "backbone_kwargs": null,
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "class_cost": 1,
+  "d_model": 256,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_n_points": 4,
+  "dice_loss_coefficient": 1,
+  "disable_custom_kernels": true,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "encoder_n_points": 4,
+  "eos_coefficient": 0.1,
+  "focal_alpha": 0.25,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "CSGO",
+    "1": "CT",
+    "2": "T"
+  },
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "CSGO": 0,
+    "CT": 1,
+    "T": 2
+  },
+  "mask_loss_coefficient": 1,
+  "max_position_embeddings": 2048,
+  "model_type": "deta",
+  "num_feature_levels": 5,
+  "num_queries": 900,
+  "position_embedding_type": "sine",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "two_stage": true,
+  "two_stage_num_proposals": 300,
+  "use_pretrained_backbone": false,
+  "use_timm_backbone": false,
+  "with_box_refine": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:015de8f704a03cb67559001c8e65205a2f5eefcf90fc0c8a6304291c4881082f
+size 193623012

preprocessor_config.json

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+{
+  "do_convert_annotations": true,
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DetaImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 1333,
+    "shortest_edge": 800
+  }
+}

runs/Apr10_09-59-30_0ae0b4a34825/events.out.tfevents.1712743171.0ae0b4a34825.2415.0

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+size 15261

training_args.bin

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+size 4920