| { |
| "architectures": [ |
| "DebertaV2ForSequenceClassification" |
| ], |
| "attention_head_size": 64, |
| "attention_probs_dropout_prob": 0.1, |
| "bos_token_id": 1, |
| "conv_act": "gelu", |
| "conv_kernel_size": 3, |
| "dtype": "float32", |
| "eos_token_id": 2, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 1536, |
| "id2label": { |
| "0": "ad hominem", |
| "1": "anecdote", |
| "2": "cherry picking", |
| "3": "conspiracy theory", |
| "4": "fake experts", |
| "5": "false choice", |
| "6": "false equivalence", |
| "7": "impossible expectations", |
| "8": "misrepresentation", |
| "9": "oversimplification", |
| "10": "single cause", |
| "11": "slothful induction" |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 6144, |
| "label2id": { |
| "ad hominem": 0, |
| "anecdote": 1, |
| "cherry picking": 2, |
| "conspiracy theory": 3, |
| "fake experts": 4, |
| "false choice": 5, |
| "false equivalence": 6, |
| "impossible expectations": 7, |
| "misrepresentation": 8, |
| "oversimplification": 9, |
| "single cause": 10, |
| "slothful induction": 11 |
| }, |
| "layer_norm_eps": 1e-07, |
| "legacy": true, |
| "max_position_embeddings": 512, |
| "max_relative_positions": -1, |
| "model_type": "deberta-v2", |
| "norm_rel_ebd": "layer_norm", |
| "num_attention_heads": 24, |
| "num_hidden_layers": 24, |
| "pad_token_id": 0, |
| "pooler_dropout": 0, |
| "pooler_hidden_act": "gelu", |
| "pooler_hidden_size": 1536, |
| "pos_att_type": [ |
| "p2c", |
| "c2p" |
| ], |
| "position_biased_input": false, |
| "position_buckets": 256, |
| "problem_type": "single_label_classification", |
| "relative_attention": true, |
| "share_att_key": true, |
| "transformers_version": "4.57.3", |
| "type_vocab_size": 0, |
| "vocab_size": 128100 |
| } |
|
|
