rjhugs/modelStructure_TT_SBL_v6
Browse files- README.md +3 -3
- config.json +2 -2
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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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:
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### Training results
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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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: 10
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### Training results
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config.json
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"TableTransformerForObjectDetection"
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],
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"attention_dropout": 0.0,
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"attention_probs_dropout_prob": 0.
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"auxiliary_loss": false,
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"backbone": null,
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"backbone_config": {
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"eos_coefficient": 0.4,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"hidden_dropout_prob": 0.
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"id2label": {
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"0": "table",
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"1": "table column header",
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"TableTransformerForObjectDetection"
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],
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"attention_dropout": 0.0,
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"attention_probs_dropout_prob": 0.15526562742453584,
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"auxiliary_loss": false,
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"backbone": null,
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"backbone_config": {
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"eos_coefficient": 0.4,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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+
"hidden_dropout_prob": 0.15526562742453584,
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"id2label": {
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"0": "table",
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"1": "table column header",
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pytorch_model.bin
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size 115517510
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training_args.bin
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