End of training
Browse files- README.md +63 -0
- config.json +150 -0
- model.safetensors +3 -0
- preprocessor_config.json +45 -0
- runs/Apr23_14-16-45_6ebd8435e3ff/events.out.tfevents.1713881806.6ebd8435e3ff.7120.0 +3 -0
- training_args.bin +3 -0
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: detr
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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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# detr
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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: 0.9999
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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: 0.0002
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- train_batch_size: 16
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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: 1
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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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| 1.6319 | 0.16 | 100 | 1.5387 |
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| 1.4285 | 0.32 | 200 | 1.3564 |
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| 1.2693 | 0.48 | 300 | 1.2122 |
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| 1.1804 | 0.64 | 400 | 1.1028 |
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| 1.0703 | 0.8 | 500 | 1.0369 |
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| 1.0584 | 0.96 | 600 | 0.9999 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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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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"add_cross_attention": false,
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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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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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"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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"label2id": {
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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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"out_features": [
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"stage4"
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],
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"out_indices": [
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],
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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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"stage3",
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},
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"decoder_attention_heads": 8,
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"id2label": {
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"0": "Class_0",
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"1": "Class_1",
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"2": "Class_2",
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"3": "Class_3"
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},
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"init_std": 0.02,
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},
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"mask_loss_coefficient": 1,
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"model_type": "detr",
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"num_channels": 3,
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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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oid sha256:e68c2df0d5a0f7bd88627a1d1e44f4389429f97283d81ca1b9fa9c0d5ebdab48
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size 166506812
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"annotations",
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"return_segmentation_masks",
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"masks_path",
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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"do_convert_annotations",
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"image_mean",
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"image_std",
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"do_pad",
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"format",
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"return_tensors",
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"data_format",
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"input_data_format"
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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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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/Apr23_14-16-45_6ebd8435e3ff/events.out.tfevents.1713881806.6ebd8435e3ff.7120.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8d7781bcf3f7a8830800a185f0c46ce09351ef8329d550fb5e280b507673555
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size 22491
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4920
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