End of training
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README.md
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---
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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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model-index:
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- name: hwars-buttons-model
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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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# hwars-buttons-model
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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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## 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: 6e-05
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- train_batch_size: 10
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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: 200
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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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": "resnet50",
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"backbone_config": 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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"classifier_dropout": 0.0,
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"d_model": 256,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"dice_loss_coefficient": 1,
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"dilation": false,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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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": "button"
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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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"button": 0
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},
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"mask_loss_coefficient": 1,
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"max_position_embeddings": 1024,
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"model_type": "detr",
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"num_channels": 3,
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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": "4.35.2",
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"use_pretrained_backbone": true,
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"use_timm_backbone": true
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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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oid sha256:0baa1a368c81c9b057dea1e4a71bba2277b80540b00cf380d814cc193cbeab58
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size 166494824
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preprocessor_config.json
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{
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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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0.485,
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0.456,
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0.406
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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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0.224,
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0.225
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],
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"resample": 2,
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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/Feb20_12-17-44_87de58dc57e3/events.out.tfevents.1708431465.87de58dc57e3.934.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9aa74d782bc7ce9707499880114f62866c4157222f4ca538222833b5d909c0b
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size 4820
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runs/Feb20_12-19-35_87de58dc57e3/events.out.tfevents.1708431575.87de58dc57e3.934.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e09e046d1113f3800cc610822711e06fc205c78bd637bb9df57c4b1be84e7e1
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size 5795
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9ffe8c06eecc0b9113094c4698b9f777e4fa3873015ba570dddfd329ffa1eb9
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size 4600
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