89 lines
1.5 KiB
YAML
89 lines
1.5 KiB
YAML
client_group_1:
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data:
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batch_size: 32
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max_seq_len: 128
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model:
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task: imdb
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num_labels: 2
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train:
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local_update_steps: 200
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eval:
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metrics: ['acc']
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client_group_2:
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data:
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batch_size: 32
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max_seq_len: 128
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model:
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task: agnews
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num_labels: 4
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train:
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local_update_steps: 200
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eval:
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metrics: ['acc']
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client_group_3:
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data:
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batch_size: 32
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max_seq_len: 384
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max_query_len: 128
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trunc_stride: 128
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model:
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task: squad
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num_labels: 2
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n_best_size: 20
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max_answer_len: 30
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null_score_diff_threshold: 0.0
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train:
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local_update_steps: 200
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eval:
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metrics: ['squad']
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client_group_4:
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data:
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batch_size: 32
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max_seq_len: 384
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max_query_len: 128
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trunc_stride: 128
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model:
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task: newsqa
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num_labels: 2
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n_best_size: 20
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max_answer_len: 30
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null_score_diff_threshold: 0.0
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train:
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local_update_steps: 200
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eval:
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metrics: ['newsqa']
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client_group_5:
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data:
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batch_size: 32
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max_seq_len: 384
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max_tgt_len: 128
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model:
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task: cnndm
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max_length: 150
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min_length: 50
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no_repeat_ngram_size: 3
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length_penalty: 2.0
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num_beams: 5
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label_smoothing: 0.1
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train:
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local_update_steps: 200
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eval:
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metrics: ['cnndm']
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client_group_6:
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data:
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batch_size: 32
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max_seq_len: 384
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max_tgt_len: 64
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model:
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task: msqg
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max_length: 100
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min_length: 1
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no_repeat_ngram_size: 3
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length_penalty: 2.0
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num_beams: 5
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label_smoothing: 0.1
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train:
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local_update_steps: 200
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eval:
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metrics: ['msqg']
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