调整参数和coref官方一样，但是F1指标上不了70，可能是什么问题？

[learner-crapy]

我使用了一块RTX4090分别训练了中文和英文的OntoNote数据，得到下面的结果
中文：RoBERTa_zh_L12_PyTorch

英文：spanbert_base

使用参数如下：
`# Computation limits.
max_top_antecedents = 50
max_training_sentences = 11
top_span_ratio = 0.4
max_num_speakers = 20
max_segment_len = 128

Learning

bert_learning_rate = 1e-05
task_learning_rate = 0.0002
adam_eps = 1e-6
dropout_rate = 0.3

Task choice

num_docs = 2802
num_epochs = 30
do_train = true
do_eval = true
do_test = true
do_one_example_test = true
eval_frequency = 100
report_frequency = 10

Model hyperparameters.

genres = ["bc", "bn", "mz", "nw", "tc", "wb"]
coref_depth = 2
ffnn_size = 3000
feature_size = 20
max_span_width = 30
use_metadata = true
use_features = true
use_segment_distance = true
model_heads = true
fine_grained = true
use_prior = true
single_example = true`

但是我看coref官方使用base版本在英文预料下的F1指标达到77，请问可能的问题在哪里？