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{"_name_or_path": "lmqg_output/optimized_no_answer/bart_large_squad/model_blrpij/epoch_2", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.1, "bos_token_id": 0, "classif_dropout":... |
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{"_name_or_path": "lmqg_output/optimized_no_passage/bart_base_squad/model_ohllrv/epoch_2", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.1, "bos_token_id": 0, "classif_dropout":... |
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{"_name_or_path": "lmqg_output/optimized_no_answer/t5_base_squad/model_eszyci/epoch_3", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3072, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "gradient_checkpointing": false, "initializ... |
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{"architectures": ["DebertaV2Model"], "attention_head_size": 64, "attention_probs_dropout_prob": 0.1, "conv_act": "gelu", "conv_kernel_size": 3, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1536, "initializer_range": 0.02, "intermediate_size": 6144, "layer_norm_eps": 1e-07, "max_position_embeddings"... |
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{"_name_or_path": "t5-large", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t... |
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