ELECTRA and GPT2 support

[Stochastic-Adventure]

Hi,

I'm wondering how to add ELECTRA and GPT2 support to this module.

Neither ELECTRA nor GPT2 has pooled output, unlike BERT/RoBERTa-based model.

I noticed in the models.py the model is implemented as following:

        outputs = self.roberta(
            input_ids,
            attention_mask=attention_mask,
            token_type_ids=token_type_ids,
            position_ids=position_ids,
            head_mask=head_mask,
            output_attentions=output_attentions,
            output_hidden_states=output_hidden_states
        )

        pooled_output = outputs[1]
        seq_output = outputs[0]
        logits = self.output2logits(pooled_output, seq_output, input_ids)

        return self.calc_loss(logits, outputs, labels)

There are no pooled_output for ELECTRA/GPT2 sequence classification models, only seq_output is in the outputs variable.

How to get around this limitation and get a working version of ELECTRA/GPT2? Thank you!

[bugface]

I will look at these two models and get back to you when I add them or found a way to add them.

[bugface]

For ELECTRA, you can manually extract the pooled output representation of [CLS] (from HuggingFace https://huggingface.co/transformers/_modules/transformers/models/electra/modeling_electra.html#ElectraForSequenceClassification) as

discriminator_hidden_states = self.electra(
            input_ids,
            attention_mask,
            token_type_ids,
            position_ids,
            head_mask,
            inputs_embeds,
            output_attentions,
            output_hidden_states,
            return_dict,
        )

seq_output = discriminator_hidden_states[0]
pooled_output = seq_output[:, 0, :]