(args)
| 67 | |
| 68 | |
| 69 | def prepare_sequence_posttrain(args): |
| 70 | with open(os.path.join('sequences', args.sequence_file), 'r') as f: |
| 71 | datas = f.readlines()[args.idrandom] |
| 72 | data = datas.split() |
| 73 | |
| 74 | args.task_name = data |
| 75 | args.current_dataset_name = data[args.pt_task] |
| 76 | |
| 77 | if "cpt_datasets" in args.sequence_file: |
| 78 | args.dataset_name = 'pt' |
| 79 | else: |
| 80 | raise NotImplementedError( |
| 81 | f"The current sequence file {args.sequence_file} is not supported yet!") |
| 82 | |
| 83 | output = args.base_dir + "/seq" + str(args.idrandom) + "/seed" + str(args.seed) + "/" + str( |
| 84 | args.baseline) + '/' + str(args.dataset_name) + '/' + str(data[args.pt_task]) + "_roberta/" |
| 85 | ckpt = args.base_dir + "/seq" + str(args.idrandom) + "/seed" + str(args.seed) + "/" + str( |
| 86 | args.baseline) + '/' + str(args.dataset_name) + '/' + str(data[args.pt_task - 1]) + "_roberta/" |
| 87 | |
| 88 | if args.pt_task > 0: |
| 89 | args.prev_output = args.base_dir + "/seq" + str(args.idrandom) + "/seed" + str(args.seed) + "/" + str( |
| 90 | args.baseline) + '/' + str(args.dataset_name) + '/' + str(data[args.pt_task - 1]) + "_roberta/" |
| 91 | else: |
| 92 | args.prev_output = '' |
| 93 | args.task = args.pt_task |
| 94 | |
| 95 | args.output_dir = output |
| 96 | |
| 97 | args.saved_output_dir = [args.base_dir + "/seq" + str(args.idrandom) + "/seed" + str(args.seed) + "/" + str( |
| 98 | args.baseline) + '/' + str(args.dataset_name) + '/' + str(data[t]) + "_roberta/" for t in |
| 99 | range(args.pt_task + 1)] |
| 100 | |
| 101 | if args.task == 0: # no pre-trained for the first |
| 102 | args.model_name_or_path = "roberta-base" |
| 103 | args.adapter_path = "None" |
| 104 | else: |
| 105 | args.model_name_or_path = ckpt |
| 106 | args.adapter_path = ckpt + str(args.seed) + ".model" |
| 107 | |
| 108 | if 'cpt' in args.baseline: |
| 109 | args.model_name_or_path = 'roberta-base' |
| 110 | |
| 111 | print('saved_output_dir: ', args.saved_output_dir) |
| 112 | print('output_dir: ', args.output_dir) |
| 113 | print('prev_output: ', args.prev_output) |
| 114 | print('dataset_name: ', args.dataset_name) |
| 115 | print('current_dataset_name: ', args.current_dataset_name) |
| 116 | print('model_name_or_path: ', args.model_name_or_path) |
| 117 | print('adapter_path: ', args.adapter_path) |
| 118 | |
| 119 | return args |
| 120 | |
| 121 | |
| 122 | def lookfor_model_finetune(args): |
nothing calls this directly
no outgoing calls
no test coverage detected