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  1. gpt2/gpt2-base/dskd/answers_dialogsum_10.jsonl +0 -0
  2. gpt2/gpt2-base/dskd/answers_dialogsum_20.jsonl +0 -0
  3. gpt2/gpt2-base/dskd/answers_dialogsum_30.jsonl +0 -0
  4. gpt2/gpt2-base/dskd/answers_dialogsum_40.jsonl +0 -0
  5. gpt2/gpt2-base/dskd/answers_dialogsum_50.jsonl +0 -0
  6. gpt2/gpt2-base/dskd/answers_dolly_10.jsonl +0 -0
  7. gpt2/gpt2-base/dskd/answers_dolly_20.jsonl +0 -0
  8. gpt2/gpt2-base/dskd/answers_dolly_30.jsonl +0 -0
  9. gpt2/gpt2-base/dskd/answers_dolly_40.jsonl +0 -0
  10. gpt2/gpt2-base/dskd/answers_dolly_50.jsonl +0 -0
  11. gpt2/gpt2-base/dskd/answers_self-inst_10.jsonl +0 -0
  12. gpt2/gpt2-base/dskd/answers_self-inst_20.jsonl +0 -0
  13. gpt2/gpt2-base/dskd/answers_self-inst_30.jsonl +0 -0
  14. gpt2/gpt2-base/dskd/answers_self-inst_40.jsonl +0 -0
  15. gpt2/gpt2-base/dskd/answers_self-inst_50.jsonl +0 -0
  16. gpt2/gpt2-base/dskd/answers_sinst_11__10.jsonl +0 -0
  17. gpt2/gpt2-base/dskd/answers_sinst_11__20.jsonl +0 -0
  18. gpt2/gpt2-base/dskd/answers_sinst_11__30.jsonl +0 -0
  19. gpt2/gpt2-base/dskd/answers_sinst_11__40.jsonl +0 -0
  20. gpt2/gpt2-base/dskd/answers_sinst_11__50.jsonl +0 -0
  21. gpt2/gpt2-base/dskd/answers_vicuna_10.jsonl +0 -0
  22. gpt2/gpt2-base/dskd/answers_vicuna_20.jsonl +0 -0
  23. gpt2/gpt2-base/dskd/answers_vicuna_30.jsonl +0 -0
  24. gpt2/gpt2-base/dskd/answers_vicuna_40.jsonl +0 -0
  25. gpt2/gpt2-base/dskd/answers_vicuna_50.jsonl +0 -0
  26. gpt2/gpt2-base/dskd/args.json +0 -1
  27. gpt2/gpt2-base/dskd/log.txt +0 -100
  28. gpt2/gpt2-base/dskd/rougeL_results.jsonl +0 -25
  29. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dialogsum_10.jsonl +0 -0
  30. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dialogsum_20.jsonl +0 -0
  31. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dialogsum_30.jsonl +0 -0
  32. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dialogsum_40.jsonl +0 -0
  33. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dialogsum_50.jsonl +0 -0
  34. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dolly_10.jsonl +0 -0
  35. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dolly_20.jsonl +0 -0
  36. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dolly_30.jsonl +0 -0
  37. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dolly_40.jsonl +0 -0
  38. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_dolly_50.jsonl +0 -0
  39. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_self-inst_10.jsonl +0 -0
  40. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_self-inst_20.jsonl +0 -0
  41. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_self-inst_30.jsonl +0 -0
  42. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_self-inst_40.jsonl +0 -0
  43. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_self-inst_50.jsonl +0 -0
  44. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_sinst_11__10.jsonl +0 -0
  45. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_sinst_11__20.jsonl +0 -0
  46. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_sinst_11__30.jsonl +0 -0
  47. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_sinst_11__40.jsonl +0 -0
  48. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_sinst_11__50.jsonl +0 -0
  49. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_vicuna_10.jsonl +0 -0
  50. gpt2/gpt2-base/dual_space_kd_with_cma/criterion=dual_space_kd_with_cma__forward_kl-bf16__teacher=Qwen1.5-1.8B__kd^rate=0.5__kd^temp=2.0__epoch=20__bsz=4x2x1=8__lr=0.0005__proj^lr=0.001/answers_vicuna_20.jsonl +0 -0
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- {"model_path": "/workspace/DSKD/outputs/gpt2/gpt2-base/dskd/MCW_KD_GPT2_DSKD", "ckpt_name": null, "model_type": "outputs", "teacher_model_type": null, "n_gpu": 1, "n_nodes": 1, "teacher_model_path": null, "teacher_model_fp16": false, "model_parallel": false, "model_parallel_size": null, "no_value": false, "dropout_path_rate": null, "fp32": false, "model_dtype": "fp16", "task": "eval_main", "do_train": false, "do_valid": false, "do_eval": true, "base_path": "/workspace/DSKD", "load": null, "save_dir": "/workspace/DSKD/outputs/gpt2/gpt2-base/dskd", "log_interval": 10, "save_interval": 1000, "eval_interval": 1000, "local_rank": 0, "save_additional_suffix": "", "save_rollout": false, "eb_sample_times": 3, "keep_best_n_checkpoints": 3, "criterion": "cross_entropy", "eval_tqdm": false, "report_logits": false, "only_save_projector": false, "debug": false, "data_dir": "/workspace/DSKD/data/dialogsum", "processed_data_dir": null, "force_process": false, "force_process_demo": false, "data_process_workers": -1, "train_num": -1, "train_ratio": 1, "dev_num": -1, "dev_ratio": 1, "gen_num": -1, "data_names": "dialogsum", "prompt_type": null, "num_workers": 0, "max_prompt_length": 256, "min_prompt_length": 128, "json_data": true, "bin_data": false, "txt_data": false, "prompt_data_dir": null, "pretrain_data_dir": null, "eval_ppl": false, "eval_rw": false, "eval_gen": false, "only_prompt": false, "batch_size": 32, "eval_batch_size": 32, "clip_grad": 1.0, "total_iters": null, "train_iters_per_epoch": -1, "max_length": 512, "seed": 50, "seed_order": 42, "seed_data": 42, "seed_ppo": 42, "seed_lm": 7, "num_epochs": null, "training_epochs": 10000, "gradient_accumulation_steps": 1, "gradient_checkpointing": false, "attn_dtype": null, "lr": null, "lr_min": 1e-07, "weight_decay": 0.01, "loss_scale": 65536, "kd_rate": 0.5, "kd_temperature": 1.0, "kd_objective": "forward_kl", "teacher_temperature": 1.0, "label_smoothing": 0.0, "adaptive_kl_alpha": 0.5, "skew_lambda": 0.1, "warmup_iters": 0, "lr_decay_iters": null, "lr_decay_style": "noam", "scheduler_name": "constant_trm", "top_k": 0, "top_p": 1.0, "do_sample": true, "no_repeat_ngram_size": 6, "repetition_penalty": null, "num_beams": 1, "temperature": 1.0, "eval_gen_repeat_times": 3, "peft": null, "peft_lora_r": 16, "peft_lora_alpha": 64, "peft_lora_dropout": 0.1, "peft_name": null, "peft_path": null, "teacher_peft_name": null, "teacher_peft_path": null, "deepspeed": true, "deepspeed_config": "/workspace/DSKD/configs/deepspeed/ds_config_bf16.json", "deepscale": false, "deepscale_config": null, "projector_config_path": null, "projector_path": null, "projector_lr": 0.001, "pretrained_projector": null, "pretrained_projector_lr": 0.001, "vocab_alignment_path": null, "teacher_to_student_token_mapping": null, "teacher_to_student_id_mapping": null, "student_to_teacher_token_mapping": null, "student_to_teacher_id_mapping": null, "rank": 0, "world_size": 1}
 
 
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- test | name: dolly | {'exact_match': 2.4, 'rougeL': 24.5132} | lm_loss 6.9518 | avg. gen lenth: 64.03 | seed 10
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- test | name: dolly | {'exact_match': 2.0, 'rougeL': 23.9859} | lm_loss 6.9518 | avg. gen lenth: 64.87 | seed 20
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- test | name: dolly | {'exact_match': 2.0, 'rougeL': 24.5616} | lm_loss 6.9518 | avg. gen lenth: 63.996 | seed 30
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- test | name: dolly | {'exact_match': 2.6, 'rougeL': 24.6922} | lm_loss 6.9518 | avg. gen lenth: 62.03 | seed 40
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- test | name: dolly | {'exact_match': 2.2, 'rougeL': 24.1888} | lm_loss 6.9518 | avg. gen lenth: 64.408 | seed 50
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- test | name: self-inst | {'exact_match': 0.0, 'rougeL': 10.2346} | lm_loss 8.8444 | avg. gen lenth: 69.30578512396694 | seed 10
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- test | name: self-inst | {'exact_match': 0.0, 'rougeL': 11.09} | lm_loss 8.8444 | avg. gen lenth: 70.04132231404958 | seed 20
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- test | name: self-inst | {'exact_match': 0.0, 'rougeL': 10.5647} | lm_loss 8.8444 | avg. gen lenth: 70.7892561983471 | seed 30
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- test | name: self-inst | {'exact_match': 0.0, 'rougeL': 10.4475} | lm_loss 8.8444 | avg. gen lenth: 68.52066115702479 | seed 40
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- test | name: self-inst | {'exact_match': 0.0, 'rougeL': 10.4891} | lm_loss 8.8444 | avg. gen lenth: 67.91322314049587 | seed 50
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- test | name: vicuna | {'exact_match': 0.0, 'rougeL': 15.779} | lm_loss 7.0211 | avg. gen lenth: 117.8375 | seed 10
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- test | name: vicuna | {'exact_match': 0.0, 'rougeL': 15.5566} | lm_loss 7.0211 | avg. gen lenth: 112.9625 | seed 20
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- test | name: vicuna | {'exact_match': 0.0, 'rougeL': 15.6034} | lm_loss 7.0211 | avg. gen lenth: 115.35 | seed 30
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- test | name: vicuna | {'exact_match': 0.0, 'rougeL': 15.2329} | lm_loss 7.0211 | avg. gen lenth: 113.25 | seed 40
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- test | name: vicuna | {'exact_match': 0.0, 'rougeL': 15.5976} | lm_loss 7.0211 | avg. gen lenth: 106.1875 | seed 50
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- test | name: sinst/11_ | {'exact_match': 0.0, 'rougeL': 17.2637} | lm_loss 8.8454 | avg. gen lenth: 40.77508854781582 | seed 10
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- test | name: sinst/11_ | {'exact_match': 0.0, 'rougeL': 16.7415} | lm_loss 8.8454 | avg. gen lenth: 40.925619834710744 | seed 20
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- test | name: sinst/11_ | {'exact_match': 0.0, 'rougeL': 17.5263} | lm_loss 8.8454 | avg. gen lenth: 40.84238488783944 | seed 30
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- test | name: sinst/11_ | {'exact_match': 0.0, 'rougeL': 17.6793} | lm_loss 8.8454 | avg. gen lenth: 41.38724911452184 | seed 40
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- test | name: sinst/11_ | {'exact_match': 0.0, 'rougeL': 16.6866} | lm_loss 8.8454 | avg. gen lenth: 41.52951593860685 | seed 50
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- test | name: dialogsum | {'exact_match': 0.0, 'rougeL': 10.1323} | lm_loss nan | avg. gen lenth: 50.716 | seed 10
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- test | name: dialogsum | {'exact_match': 0.0, 'rougeL': 10.0085} | lm_loss nan | avg. gen lenth: 52.757333333333335 | seed 30
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- test | name: dialogsum | {'exact_match': 0.0, 'rougeL': 10.3976} | lm_loss nan | avg. gen lenth: 49.89066666666667 | seed 40
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- test | name: dialogsum | {'exact_match': 0.0, 'rougeL': 10.1758} | lm_loss nan | avg. gen lenth: 52.028666666666666 | seed 50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- {"dataname": "dolly", "seed": 10, "rougeL": 24.5132}
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- {"dataname": "dolly", "seed": 20, "rougeL": 23.9859}
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- {"dataname": "dolly", "seed": 30, "rougeL": 24.5616}
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- {"dataname": "dolly", "seed": 40, "rougeL": 24.6922}
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- {"dataname": "dolly", "seed": 50, "rougeL": 24.1888}
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- {"dataname": "self-inst", "seed": 10, "rougeL": 10.2346}
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- {"dataname": "self-inst", "seed": 20, "rougeL": 11.09}
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- {"dataname": "self-inst", "seed": 30, "rougeL": 10.5647}
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- {"dataname": "self-inst", "seed": 40, "rougeL": 10.4475}
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- {"dataname": "self-inst", "seed": 50, "rougeL": 10.4891}
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- {"dataname": "vicuna", "seed": 10, "rougeL": 15.779}
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- {"dataname": "vicuna", "seed": 20, "rougeL": 15.5566}
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- {"dataname": "vicuna", "seed": 30, "rougeL": 15.6034}
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- {"dataname": "vicuna", "seed": 40, "rougeL": 15.2329}
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- {"dataname": "vicuna", "seed": 50, "rougeL": 15.5976}
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- {"dataname": "sinst_11_", "seed": 10, "rougeL": 17.2637}
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- {"dataname": "sinst_11_", "seed": 20, "rougeL": 16.7415}
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- {"dataname": "sinst_11_", "seed": 30, "rougeL": 17.5263}
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- {"dataname": "sinst_11_", "seed": 40, "rougeL": 17.6793}
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- {"dataname": "sinst_11_", "seed": 50, "rougeL": 16.6866}
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- {"dataname": "dialogsum", "seed": 10, "rougeL": 10.1323}
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- {"dataname": "dialogsum", "seed": 20, "rougeL": 10.2727}
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- {"dataname": "dialogsum", "seed": 30, "rougeL": 10.0085}
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- {"dataname": "dialogsum", "seed": 40, "rougeL": 10.3976}
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- {"dataname": "dialogsum", "seed": 50, "rougeL": 10.1758}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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