TinyBert模型汇总

下表汇总介绍了目前PaddleNLP支持的TinyBert模型以及对应预训练权重。 关于模型的具体细节可以参考对应链接。

Pretrained Weight	Language	Details of the model
tinybert-4l-312d	English	4-layer, 312-hidden, 12-heads, 14.5M parameters. The TinyBert model distilled from the BERT model bert-base-uncased
tinybert-6l-768d	English	6-layer, 768-hidden, 12-heads, 67M parameters. The TinyBert model distilled from the BERT model bert-base-uncased
tinybert-4l-312d-v2	English	4-layer, 312-hidden, 12-heads, 14.5M parameters. The TinyBert model distilled from the BERT model bert-base-uncased
tinybert-6l-768d-v2	English	6-layer, 768-hidden, 12-heads, 67M parameters. The TinyBert model distilled from the BERT model bert-base-uncased
tinybert-4l-312d-zh	Chinese	4-layer, 312-hidden, 12-heads, 14.5M parameters. The TinyBert model distilled from the BERT model bert-base-uncased
tinybert-6l-768d-zh	Chinese	6-layer, 768-hidden, 12-heads, 67M parameters. The TinyBert model distilled from the BERT model bert-base-uncased