fix: checkpoint conversion to HF #285
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ajude2s
reviewed
Dec 19, 2024
| model_input = {"input_ids": input_ids, "attention_mask": attention_mask} | ||
| model_forward_output: dict[str, torch.Tensor] = self.model.forward(model_input) | ||
| if return_dict: | ||
| if not return_dict: |
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I executed the checkpoint conversion. Everything works perfectly.
I ran eval harness with these changes (since the HFModelAdapterConfig and HFModelAdapter are required while evaluating modalities using eval harness as well). This change seems to have affected the eval run. On reverting this change back, it seems to run.
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What does this PR do?
This PR is an attempt to fix #284. The checkpoint conversion runs through successfully with the changes. However, it should be double-checked that everything is correct, further adjustments might be necessary.
General Changes
Breaking Changes
Checklist before submitting final PR
python tests/tests.py)CHANGELOG_DEV.md)