| { |
| "_name_or_path": "FacebookAI/roberta-base", |
| "architectures": [ |
| "RobertaForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "bos_token_id": 0, |
| "classifier_dropout": null, |
| "eos_token_id": 2, |
| "finetuning_task": "text-classification", |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "arbitrary", |
| "1": "assumption", |
| "2": "company_reported", |
| "3": "expert_elicitation", |
| "4": "feasibility_estimation", |
| "5": "goal", |
| "6": "individual_literature_sources", |
| "7": "lab_or_prototype_or_pilot_system", |
| "8": "literature_review", |
| "9": "model", |
| "10": "observation", |
| "11": "prediction", |
| "12": "real_world", |
| "13": "regression", |
| "14": "rough_estimate_or_analogy", |
| "15": "simulation_or_calculation", |
| "16": "specification" |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "label2id": { |
| "arbitrary": 0, |
| "assumption": 1, |
| "company_reported": 2, |
| "expert_elicitation": 3, |
| "feasibility_estimation": 4, |
| "goal": 5, |
| "individual_literature_sources": 6, |
| "lab_or_prototype_or_pilot_system": 7, |
| "literature_review": 8, |
| "model": 9, |
| "observation": 10, |
| "prediction": 11, |
| "real_world": 12, |
| "regression": 13, |
| "rough_estimate_or_analogy": 14, |
| "simulation_or_calculation": 15, |
| "specification": 16 |
| }, |
| "layer_norm_eps": 1e-05, |
| "max_position_embeddings": 514, |
| "model_type": "roberta", |
| "num_attention_heads": 12, |
| "num_hidden_layers": 12, |
| "pad_token_id": 1, |
| "position_embedding_type": "absolute", |
| "problem_type": "multi_label_classification", |
| "torch_dtype": "float32", |
| "transformers_version": "4.36.2", |
| "type_vocab_size": 1, |
| "use_cache": true, |
| "vocab_size": 50265 |
| } |
|
|
