{ "_name_or_path": "csebuetnlp/mT5_multilingual_XLSum", "architectures": [ "MT5ForConditionalGeneration" ], "classifier_dropout": 0.0, "d_ff": 2048, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true, "is_gated_act": true, "layer_norm_epsilon": 1e-06, "length_penalty": 0.6, "max_length": 84, "model_type": "mt5", "no_repeat_ngram_size": 2, "num_beams": 4, "num_decoder_layers": 12, "num_heads": 12, "num_layers": 12, "output_past": true, "pad_token_id": 0, "relative_attention_max_distance": 128, "relative_attention_num_buckets": 32, "tie_word_embeddings": false, "tokenizer_class": "T5Tokenizer", "torch_dtype": "float32", "transformers_version": "4.40.1", "use_cache": true, "vocab_size": 250112 }