官方服务：
资源简介：
bert-optuna best model
BERT-Optuna最优模型
应用场景：
创建时间：
2026-05-04
相关数据集
uzb-cyrl-webcrawl-v1-fasttext-cbow-300d
300-dimensional fasttext CBOW word embeddings for the Cyrillic Uzbek language. Trained using the webcrawl corpus v1.
Figshare2020-09-24 更新90
distilled-one-sec-cv12-each-chunk-uniq/chunk_132
--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1113346344.0 num_examples: 216942
Hugging Face2023-05-29 更新60
Performance evaluation metrics.
Idiomatic expressions are built into all languages and are common in ordinary conversation. Idioms are difficult to understand because they cannot be deduced directly from the source word. Previous st
NIAID Data Ecosystem30
Model performances according to hyper-parameters for transfer learning and presence or absence of whitespace tokens in the corpus.
Model performances according to hyper-parameters for transfer learning and presence or absence of whitespace tokens in the corpus.
Figshare2023-01-20 更新50
