[Python] Get warning : You should probably TRAIN this model on a downstream task to be able to...

I get this message when loading a finetune model of Bert with a forward neural netword on the last layer from a checkpoint directory.

This IS expected if you are initializing FlaubertForSequenceClassification fr om the checkpoint of a model trained on another task or with another architectu re (e.g. initializing a BertForSequenceClassification model from a BertForPreTr aining model).
- This IS NOT expected if you are initializing FlaubertForSequenceClassificatio n from the checkpoint of a model that you expect to be exactly identical (initi alizing a BertForSequenceClassification model from a BertForSequenceClassificat ion model).
Some weights of FlaubertForSequenceClassification were not initialized from the model checkpoint at /gpfswork/rech/kpf/umg16uw/results_hf/sm/checkpoint-10 and are newly initialized: ['sequence_summary.summary.weight', 'sequence_summary.s ummary.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.




Actually the model already trained on a huge dataset and I loaded it to perform inference on new dataset.


model = XXXForSequenceClassification.from_pretrained(modelForClass, num_labels=3)

test_file = '/g/012.xml'
modelForClass = '/g/checkpoint-10'

test = preprare_data(PRE_TRAINED_MODEL_NAME, test_file)
pred = predict(test, test_model)



***** Running Prediction *****
Num examples = 5
Batch size = 8
0%| | 0/1 [00:00<?, ?it/s][[-0.0903191 0.18442413 -0.09337573]
[-0.08772105 0.17791435 -0.10178708]
[-0.0903393 0.18614864 -0.08101001]
[-0.08786416 0.1888753 -0.08145989]
[-0.06697702 0.1874733 -0.09423935]]
100%|████████████████████████████████████████████| 1/1 [00:00<00:00, 9.89it/s]

real 0m36.431s

Continue reading...