{ "_name_or_path": "t5-base", "architectures": [ "BertForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "d_ff": 3072, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "Skill", "1": "Exp", "2": "PI", "3": "Sum", "4": "Edu", "5": "Obj", "6": "QC" }, "initializer_factor": 1.0, "initializer_range": 0.02, "intermediate_size": 3072, "is_encoder_decoder": true, "label2id": { "Edu": 4, "Exp": 1, "Obj": 5, "PI": 2, "QC": 6, "Skill": 0, "Sum": 3 }, "layer_norm_eps": 1e-12, "layer_norm_epsilon": 1e-06, "max_position_embeddings": 512, "model_type": "bert", "n_positions": 512, "num_attention_heads": 12, "num_heads": 12, "num_hidden_layers": 12, "num_layers": 12, "output_past": true, "pad_token_id": 0, "position_embedding_type": "absolute", "problem_type": "single_label_classification", "relative_attention_num_buckets": 32, "task_specific_params": { "summarization": { "early_stopping": true, "length_penalty": 2.0, "max_length": 200, "min_length": 30, "no_repeat_ngram_size": 3, "num_beams": 4, "prefix": "summarize: " }, "translation_en_to_de": { "early_stopping": true, "max_length": 300, "num_beams": 4, "prefix": "translate English to German: " }, "translation_en_to_fr": { "early_stopping": true, "max_length": 300, "num_beams": 4, "prefix": "translate English to French: " }, "translation_en_to_ro": { "early_stopping": true, "max_length": 300, "num_beams": 4, "prefix": "translate English to Romanian: " } }, "torch_dtype": "float32", "transformers_version": "4.38.2", "type_vocab_size": 2, "use_cache": true, "vocab_size": 32128 }