End of training
Browse files- README.md +56 -0
- config.json +175 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- runs/Jan30_10-07-36_braai-on-the-go/events.out.tfevents.1738228056.braai-on-the-go.29173.0 +3 -0
- runs/Jan30_10-09-10_braai-on-the-go/events.out.tfevents.1738228150.braai-on-the-go.30485.0 +3 -0
- runs/Jan30_10-18-38_braai-on-the-go/events.out.tfevents.1738228719.braai-on-the-go.36004.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/detr-resnet-50
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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model-index:
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- name: outputs
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# outputs
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the imagefolder dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 6
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use 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: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.48.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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config.json
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{
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"_name_or_path": "facebook/detr-resnet-50",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"DetrForObjectDetection"
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],
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"attention_dropout": 0.0,
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"auxiliary_loss": false,
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"backbone": null,
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"backbone_config": {
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"_attn_implementation_autoset": false,
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"_name_or_path": "",
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"add_cross_attention": false,
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"architectures": null,
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"bad_words_ids": null,
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"bos_token_id": null,
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"chunk_size_feed_forward": 0,
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"cross_attention_hidden_size": null,
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"decoder_start_token_id": null,
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"depths": [
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3,
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4,
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6,
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3
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],
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"diversity_penalty": 0.0,
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"do_sample": false,
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"downsample_in_bottleneck": false,
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"downsample_in_first_stage": false,
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"early_stopping": false,
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"embedding_size": 64,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": null,
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"exponential_decay_length_penalty": null,
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"finetuning_task": null,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"hidden_act": "relu",
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"hidden_sizes": [
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256,
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512,
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1024,
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2048
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],
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"is_decoder": false,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_type": "bottleneck",
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"length_penalty": 1.0,
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"max_length": 20,
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"min_length": 0,
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"model_type": "resnet",
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"no_repeat_ngram_size": 0,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_channels": 3,
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"num_return_sequences": 1,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"output_attentions": false,
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"output_scores": false,
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"pad_token_id": null,
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"prefix": null,
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"problem_type": null,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"sep_token_id": null,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"suppress_tokens": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"use_bfloat16": false
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},
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"backbone_kwargs": null,
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"bbox_cost": 5,
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"bbox_loss_coefficient": 5,
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"class_cost": 1,
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"d_model": 256,
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"encoder_layers": 6,
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"eos_coefficient": 0.1,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"id2label": {
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"0": "wheel_front_left",
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"1": "wheel_front_right",
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"2": "wheel_rear_left",
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"3": "wheel_rear_right",
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"4": "head_light_left",
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"5": "head_light_right",
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"6": "rear_light_left",
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"7": "rear_light_right",
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"8": "mirror_left",
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"9": "mirror_right",
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"10": "filler_cap",
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"11": "antenna",
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"12": "license_plate",
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"13": "license_plate_holder",
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"14": "brand_badge",
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"15": "roof_rack"
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},
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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"is_encoder_decoder": true,
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"label2id": {
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"antenna": 11,
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"brand_badge": 14,
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"head_light_left": 4,
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"head_light_right": 5,
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"mirror_left": 8,
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"mirror_right": 9,
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"rear_light_left": 6,
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"roof_rack": 15,
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"wheel_front_left": 0,
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"wheel_front_right": 1,
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"wheel_rear_left": 2,
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"wheel_rear_right": 3
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},
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"mask_loss_coefficient": 1,
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"num_hidden_layers": 6,
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"num_queries": 100,
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"position_embedding_type": "sine",
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.48.0",
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"use_pretrained_backbone": null,
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"use_timm_backbone": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 166519148
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preprocessor_config.json
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{
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"do_convert_annotations": true,
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"do_normalize": true,
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"do_pad": true,
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"do_rescale": true,
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"do_resize": true,
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"format": "coco_detection",
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"image_mean": [
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],
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"image_processor_type": "DetrImageProcessor",
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"image_std": [
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0.229,
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],
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 1333,
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"shortest_edge": 800
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}
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}
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runs/Jan30_10-07-36_braai-on-the-go/events.out.tfevents.1738228056.braai-on-the-go.29173.0
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version https://git-lfs.github.com/spec/v1
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size 8707
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runs/Jan30_10-09-10_braai-on-the-go/events.out.tfevents.1738228150.braai-on-the-go.30485.0
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runs/Jan30_10-18-38_braai-on-the-go/events.out.tfevents.1738228719.braai-on-the-go.36004.0
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version https://git-lfs.github.com/spec/v1
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5368
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