How to go from a model created from Bert and trained in a specific domain stored as model.bin to generate a transformer, tokenizer, model and optimizer??
Sorry if it is very easy but I’m getting crazy!!!
ck=torch.load(’/content/drive/MyDrive/saved_models/pytorch_model.bin’)
print(ck.keys())
odict_keys([‘bert.embeddings.word_embeddings.weight’, ‘bert.embeddings.position_embeddings.weight’, ‘bert.embeddings.token_type_embeddings.weight’, ‘bert.embeddings.LayerNorm.weight’, ‘bert.embeddings.LayerNorm.bias’, ‘bert.encoder.layer.0.attention.self.query.weight’, ‘bert.encoder.layer.0.attention.self.query.bias’, ‘bert.encoder.layer.0.attention.self.key.weight’, ‘bert.encoder.layer.0.attention.self.key.bias’, ‘bert.encoder.layer.0.attention.self.value.weight’, ‘bert.encoder.layer.0.attention.self.value.bias’, ‘bert.encoder.layer.0.attention.output.dense.weight’, ‘bert.encoder.layer.0.attention.output.dense.bias’, ‘bert.encoder.layer.0.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.0.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.0.intermediate.dense.weight’, ‘bert.encoder.layer.0.intermediate.dense.bias’, ‘bert.encoder.layer.0.output.dense.weight’, ‘bert.encoder.layer.0.output.dense.bias’, ‘bert.encoder.layer.0.output.LayerNorm.weight’, ‘bert.encoder.layer.0.output.LayerNorm.bias’, ‘bert.encoder.layer.1.attention.self.query.weight’, ‘bert.encoder.layer.1.attention.self.query.bias’, ‘bert.encoder.layer.1.attention.self.key.weight’, ‘bert.encoder.layer.1.attention.self.key.bias’, ‘bert.encoder.layer.1.attention.self.value.weight’, ‘bert.encoder.layer.1.attention.self.value.bias’, ‘bert.encoder.layer.1.attention.output.dense.weight’, ‘bert.encoder.layer.1.attention.output.dense.bias’, ‘bert.encoder.layer.1.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.1.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.1.intermediate.dense.weight’, ‘bert.encoder.layer.1.intermediate.dense.bias’, ‘bert.encoder.layer.1.output.dense.weight’, ‘bert.encoder.layer.1.output.dense.bias’, ‘bert.encoder.layer.1.output.LayerNorm.weight’, ‘bert.encoder.layer.1.output.LayerNorm.bias’, ‘bert.encoder.layer.2.attention.self.query.weight’, ‘bert.encoder.layer.2.attention.self.query.bias’, ‘bert.encoder.layer.2.attention.self.key.weight’, ‘bert.encoder.layer.2.attention.self.key.bias’, ‘bert.encoder.layer.2.attention.self.value.weight’, ‘bert.encoder.layer.2.attention.self.value.bias’, ‘bert.encoder.layer.2.attention.output.dense.weight’, ‘bert.encoder.layer.2.attention.output.dense.bias’, ‘bert.encoder.layer.2.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.2.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.2.intermediate.dense.weight’, ‘bert.encoder.layer.2.intermediate.dense.bias’, ‘bert.encoder.layer.2.output.dense.weight’, ‘bert.encoder.layer.2.output.dense.bias’, ‘bert.encoder.layer.2.output.LayerNorm.weight’, ‘bert.encoder.layer.2.output.LayerNorm.bias’, ‘bert.encoder.layer.3.attention.self.query.weight’, ‘bert.encoder.layer.3.attention.self.query.bias’, ‘bert.encoder.layer.3.attention.self.key.weight’, ‘bert.encoder.layer.3.attention.self.key.bias’, ‘bert.encoder.layer.3.attention.self.value.weight’, ‘bert.encoder.layer.3.attention.self.value.bias’, ‘bert.encoder.layer.3.attention.output.dense.weight’, ‘bert.encoder.layer.3.attention.output.dense.bias’, ‘bert.encoder.layer.3.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.3.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.3.intermediate.dense.weight’, ‘bert.encoder.layer.3.intermediate.dense.bias’, ‘bert.encoder.layer.3.output.dense.weight’, ‘bert.encoder.layer.3.output.dense.bias’, ‘bert.encoder.layer.3.output.LayerNorm.weight’, ‘bert.encoder.layer.3.output.LayerNorm.bias’, ‘bert.encoder.layer.4.attention.self.query.weight’, ‘bert.encoder.layer.4.attention.self.query.bias’, ‘bert.encoder.layer.4.attention.self.key.weight’, ‘bert.encoder.layer.4.attention.self.key.bias’, ‘bert.encoder.layer.4.attention.self.value.weight’, ‘bert.encoder.layer.4.attention.self.value.bias’, ‘bert.encoder.layer.4.attention.output.dense.weight’, ‘bert.encoder.layer.4.attention.output.dense.bias’, ‘bert.encoder.layer.4.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.4.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.4.intermediate.dense.weight’, ‘bert.encoder.layer.4.intermediate.dense.bias’, ‘bert.encoder.layer.4.output.dense.weight’, ‘bert.encoder.layer.4.output.dense.bias’, ‘bert.encoder.layer.4.output.LayerNorm.weight’, ‘bert.encoder.layer.4.output.LayerNorm.bias’, ‘bert.encoder.layer.5.attention.self.query.weight’, ‘bert.encoder.layer.5.attention.self.query.bias’, ‘bert.encoder.layer.5.attention.self.key.weight’, ‘bert.encoder.layer.5.attention.self.key.bias’, ‘bert.encoder.layer.5.attention.self.value.weight’, ‘bert.encoder.layer.5.attention.self.value.bias’, ‘bert.encoder.layer.5.attention.output.dense.weight’, ‘bert.encoder.layer.5.attention.output.dense.bias’, ‘bert.encoder.layer.5.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.5.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.5.intermediate.dense.weight’, ‘bert.encoder.layer.5.intermediate.dense.bias’, ‘bert.encoder.layer.5.output.dense.weight’, ‘bert.encoder.layer.5.output.dense.bias’, ‘bert.encoder.layer.5.output.LayerNorm.weight’, ‘bert.encoder.layer.5.output.LayerNorm.bias’, ‘bert.encoder.layer.6.attention.self.query.weight’, ‘bert.encoder.layer.6.attention.self.query.bias’, ‘bert.encoder.layer.6.attention.self.key.weight’, ‘bert.encoder.layer.6.attention.self.key.bias’, ‘bert.encoder.layer.6.attention.self.value.weight’, ‘bert.encoder.layer.6.attention.self.value.bias’, ‘bert.encoder.layer.6.attention.output.dense.weight’, ‘bert.encoder.layer.6.attention.output.dense.bias’, ‘bert.encoder.layer.6.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.6.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.6.intermediate.dense.weight’, ‘bert.encoder.layer.6.intermediate.dense.bias’, ‘bert.encoder.layer.6.output.dense.weight’, ‘bert.encoder.layer.6.output.dense.bias’, ‘bert.encoder.layer.6.output.LayerNorm.weight’, ‘bert.encoder.layer.6.output.LayerNorm.bias’, ‘bert.encoder.layer.7.attention.self.query.weight’, ‘bert.encoder.layer.7.attention.self.query.bias’, ‘bert.encoder.layer.7.attention.self.key.weight’, ‘bert.encoder.layer.7.attention.self.key.bias’, ‘bert.encoder.layer.7.attention.self.value.weight’, ‘bert.encoder.layer.7.attention.self.value.bias’, ‘bert.encoder.layer.7.attention.output.dense.weight’, ‘bert.encoder.layer.7.attention.output.dense.bias’, ‘bert.encoder.layer.7.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.7.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.7.intermediate.dense.weight’, ‘bert.encoder.layer.7.intermediate.dense.bias’, ‘bert.encoder.layer.7.output.dense.weight’, ‘bert.encoder.layer.7.output.dense.bias’, ‘bert.encoder.layer.7.output.LayerNorm.weight’, ‘bert.encoder.layer.7.output.LayerNorm.bias’, ‘bert.encoder.layer.8.attention.self.query.weight’, ‘bert.encoder.layer.8.attention.self.query.bias’, ‘bert.encoder.layer.8.attention.self.key.weight’, ‘bert.encoder.layer.8.attention.self.key.bias’, ‘bert.encoder.layer.8.attention.self.value.weight’, ‘bert.encoder.layer.8.attention.self.value.bias’, ‘bert.encoder.layer.8.attention.output.dense.weight’, ‘bert.encoder.layer.8.attention.output.dense.bias’, ‘bert.encoder.layer.8.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.8.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.8.intermediate.dense.weight’, ‘bert.encoder.layer.8.intermediate.dense.bias’, ‘bert.encoder.layer.8.output.dense.weight’, ‘bert.encoder.layer.8.output.dense.bias’, ‘bert.encoder.layer.8.output.LayerNorm.weight’, ‘bert.encoder.layer.8.output.LayerNorm.bias’, ‘bert.encoder.layer.9.attention.self.query.weight’, ‘bert.encoder.layer.9.attention.self.query.bias’, ‘bert.encoder.layer.9.attention.self.key.weight’, ‘bert.encoder.layer.9.attention.self.key.bias’, ‘bert.encoder.layer.9.attention.self.value.weight’, ‘bert.encoder.layer.9.attention.self.value.bias’, ‘bert.encoder.layer.9.attention.output.dense.weight’, ‘bert.encoder.layer.9.attention.output.dense.bias’, ‘bert.encoder.layer.9.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.9.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.9.intermediate.dense.weight’, ‘bert.encoder.layer.9.intermediate.dense.bias’, ‘bert.encoder.layer.9.output.dense.weight’, ‘bert.encoder.layer.9.output.dense.bias’, ‘bert.encoder.layer.9.output.LayerNorm.weight’, ‘bert.encoder.layer.9.output.LayerNorm.bias’, ‘bert.encoder.layer.10.attention.self.query.weight’, ‘bert.encoder.layer.10.attention.self.query.bias’, ‘bert.encoder.layer.10.attention.self.key.weight’, ‘bert.encoder.layer.10.attention.self.key.bias’, ‘bert.encoder.layer.10.attention.self.value.weight’, ‘bert.encoder.layer.10.attention.self.value.bias’, ‘bert.encoder.layer.10.attention.output.dense.weight’, ‘bert.encoder.layer.10.attention.output.dense.bias’, ‘bert.encoder.layer.10.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.10.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.10.intermediate.dense.weight’, ‘bert.encoder.layer.10.intermediate.dense.bias’, ‘bert.encoder.layer.10.output.dense.weight’, ‘bert.encoder.layer.10.output.dense.bias’, ‘bert.encoder.layer.10.output.LayerNorm.weight’, ‘bert.encoder.layer.10.output.LayerNorm.bias’, ‘bert.encoder.layer.11.attention.self.query.weight’, ‘bert.encoder.layer.11.attention.self.query.bias’, ‘bert.encoder.layer.11.attention.self.key.weight’, ‘bert.encoder.layer.11.attention.self.key.bias’, ‘bert.encoder.layer.11.attention.self.value.weight’, ‘bert.encoder.layer.11.attention.self.value.bias’, ‘bert.encoder.layer.11.attention.output.dense.weight’, ‘bert.encoder.layer.11.attention.output.dense.bias’, ‘bert.encoder.layer.11.attention.output.LayerNorm.weight’, ‘bert.encoder.layer.11.attention.output.LayerNorm.bias’, ‘bert.encoder.layer.11.intermediate.dense.weight’, ‘bert.encoder.layer.11.intermediate.dense.bias’, ‘bert.encoder.layer.11.output.dense.weight’, ‘bert.encoder.layer.11.output.dense.bias’, ‘bert.encoder.layer.11.output.LayerNorm.weight’, ‘bert.encoder.layer.11.output.LayerNorm.bias’, ‘bert.pooler.dense.weight’, ‘bert.pooler.dense.bias’, ‘cls.predictions.bias’, ‘cls.predictions.transform.dense.weight’, ‘cls.predictions.transform.dense.bias’, ‘cls.predictions.transform.LayerNorm.weight’, ‘cls.predictions.transform.LayerNorm.bias’, ‘cls.predictions.decoder.weight’, ‘cls.seq_relationship.weight’, ‘cls.seq_relationship.bias’])
Thanks a lot