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lra_config.py
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lra_config.py
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# random stringsssssssssssssssssssssssss
config = {
"listops":{
"dataset":{
"train":96000,
"dev":2000,
"test":2000,
},
"model":{
"learn_pos_emb":True,
"tied_weights":False,
"embedding_dim":512,
"transformer_dim":512,
"transformer_hidden_dim":2048,
"head_dim":64,
"num_head":8,
"num_layers":6,
"vocab_size":32,
"max_seq_len":2000,
"dropout_prob":0.1,
"attention_dropout":0.1,
"pooling_mode":"CLS",
"num_classes":10,
},
"training":{
"batch_size":64,
"learning_rate":0.0001,
"warmup":96000//64*20//10,
"lr_decay":"linear",
"weight_decay":1e-1,
"eval_frequency":500,
"num_train_steps":96000//64*20,
"num_eval_steps":2000//64,
},
"gpu_memory":64,
"extra_attn_config":{
"softmax":{"attention_grad_checkpointing":True},
"dct-0.2":{"attention_grad_checkpointing":False, "dct_percentage":0.2},
}
},
"image":{
"dataset":{
"train":45000,
"dev":5000,
"test":10000,
},
"model":{
"learn_pos_emb":True,
"tied_weights":False,
"embedding_dim":64,
"transformer_dim":64,
"transformer_hidden_dim":128,
"head_dim":16,
"num_head":4,
"num_layers":3,
"vocab_size":256,
"max_seq_len":1024,
"dropout_prob":0.3,
"attention_dropout":0.3,
"pooling_mode":"CLS",
"num_classes": 10,
},
"training":{
"batch_size":256,
"learning_rate":0.0018,
"warmup":45000//256*150//10,
"lr_decay":"linear",
"weight_decay":0,
"eval_frequency":500,
"num_train_steps":45000//256*150,
"num_eval_steps":5000//256,
},
"gpu_memory":256,
"extra_attn_config":{
"softmax":{"attention_grad_checkpointing":True},
"dct-0.2":{"attention_grad_checkpointing":False, "dct_percentage":0.2},
}
},
"pathfinder32":{
"dataset":{
"train":160000,
"dev":20000,
"test":20000,
},
"model":{
"learn_pos_emb":True,
"tied_weights":False,
"embedding_dim":128,
"transformer_dim":128,
"transformer_hidden_dim":128,
"head_dim":16,
"num_head":8,
"num_layers":4,
"vocab_size":512,
"max_seq_len":1024,
"dropout_prob":0.3,
"attention_dropout":0.3,
"pooling_mode":"CLS",
"num_classes": 2,
},
"training":{
"batch_size":512,
"learning_rate":0.0005,
"warmup":160000//512*200//10,
"lr_decay":"linear",
"weight_decay":0,
"eval_frequency":500,
"num_train_steps":160000//512*200,
"num_eval_steps":20000//512,
},
"gpu_memory":512,
"extra_attn_config":{
"softmax":{"attention_grad_checkpointing":True},
"dct-0.2":{"attention_grad_checkpointing":False, "dct_percentage":0.2},
}
},
"retrieval":{
"dataset":{
"train":147086,
"dev":18090,
"test":17437,
},
"model":{
"learn_pos_emb":True,
"tied_weights":False,
"embedding_dim":128,
"transformer_dim":128,
"transformer_hidden_dim":512,
"head_dim":32,
"num_head":4,
"num_layers":4,
"vocab_size":512,
"max_seq_len":1000,
"dropout_prob":0.1,
"attention_dropout":0.1,
"pooling_mode":"CLS",
"num_classes":2,
},
"training":{
"batch_size":64,
"learning_rate":0.001,
"warmup":147086//64*10//10,
"lr_decay":"linear",
"weight_decay":0,
"eval_frequency":1000,
"num_train_steps":147086//64*10,
"num_eval_steps":18090//64,
},
"gpu_memory":64,
"extra_attn_config":{
"softmax":{"attention_grad_checkpointing":True},
"dct-0.2":{"attention_grad_checkpointing":False, "dct_percentage":0.2},
}
},
"text":{
"dataset":{
"train":25000,
"dev":25000,
"test":25000,
},
"model":{
"learn_pos_emb":True,
"tied_weights":False,
"embedding_dim":512,
"transformer_dim":512,
"transformer_hidden_dim":2048,
"head_dim":64,
"num_head":8,
"num_layers":6,
"vocab_size":512,
"max_seq_len":2000,
"dropout_prob":0.1,
"attention_dropout":0.1,
"pooling_mode":"CLS",
"num_classes": 2,
},
"training":{
"batch_size":64,
"learning_rate":0.00002,
"warmup":25000//64*20//10,
"lr_decay":"linear",
"weight_decay":0,
"eval_frequency":30,
"num_train_steps":25000//64*20,
"num_eval_steps":25000//64,
},
"gpu_memory":64,
"extra_attn_config":{
"softmax":{"attention_grad_checkpointing":True},
"dct-0.2":{"attention_grad_checkpointing":False, "dct_percentage":0.2},
"dct-0.8":{"attention_grad_checkpointing":False, "dct_percentage":0.8},
}
}
}
config["pathfinder32-curv_baseline"] = config["pathfinder32"]
config["pathfinder32-curv_contour_length_9"] = config["pathfinder32"]
config["pathfinder32-curv_contour_length_14"] = config["pathfinder32"]