转换为transformers的格式报错

[trueto]

英文原版的可以转换

转换脚本：https://github.com/huggingface/transformers/blob/electra/src/transformers/convert_electra_original_tf_checkpoint_to_pytorch.py
报错信息：
Traceback (most recent call last): packages/transformers/model_electra/modeling_electra.py", line 102, in load_tf_weights_in_electra assert pointer.shape == array.shape, original_name AssertionError: ('electra/embeddings/LayerNorm/beta', torch.Size([128]), (768,))

[Yiming Cui]

HuggingFace-Transformers对目前ELECTRA的支持是beta版状态。
此时你可以调用 #1 中提供的json文件转换权重。
命令：

python convert_electra_original_tf_checkpoint_to_pytorch.py --tf_checkpoint_path base_model --config_file ./electra_config.json --pytorch_dump_path base.bin --discriminator_or_generator discriminator

其中small模型的electra_config.json为：

{
  "attention_probs_dropout_prob": 0.1,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 256,
  "initializer_range": 0.02,
  "intermediate_size": 1024,
  "max_position_embeddings": 512,
  "num_attention_heads": 4,
  "num_hidden_layers": 12,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "vocab_size": 21128,
  "embedding_size": 128
}

base模型为：

{
  "attention_probs_dropout_prob": 0.1,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "max_position_embeddings": 512,
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "vocab_size": 21128,
  "embedding_size": 768
}

待后续Huggingface正式支持electra后，我们会更新相应版本的权重以及配置文件。谢谢。

[trueto]

多谢，已经成功跑通，并整合进了工具包里
https://github.com/trueto/transformers_sklearn