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Week 3
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Link to the classroom item you are referring to:
I’m not allowed to put links in a post. This is related to Lab 3 - Fine-tune FLAN-T5 with reinforcement learning to generate more-positive summaries -
Description:
Getting new errors in Lab 3 each time I’ve tried to complete it.
Last week it was the HTTP Timeout error which is described in other threads.
This week it’s related to Pip’s dependency in Step 2 (Now install the required packages to use PyTorch and Hugging Face transformers and datasets) of the notebook.
ERROR: pip’s dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
autogluon-multimodal 1.2 requires nvidia-ml-py3==7.352.0, which is not installed.
autogluon-common 1.2 requires numpy<2.1.4,>=1.25.0, but you have numpy 1.23.5 which is incompatible.
autogluon-core 1.2 requires numpy<2.1.4,>=1.25.0, but you have numpy 1.23.5 which is incompatible.
autogluon-features 1.2 requires numpy<2.1.4,>=1.25.0, but you have numpy 1.23.5 which is incompatible.
autogluon-multimodal 1.2 requires jsonschema<4.22,>=4.18, but you have jsonschema 4.23.0 which is incompatible.
autogluon-multimodal 1.2 requires nltk<3.9,>=3.4.5, but you have nltk 3.9.1 which is incompatible.
autogluon-multimodal 1.2 requires numpy<2.1.4,>=1.25.0, but you have numpy 1.23.5 which is incompatible.
autogluon-multimodal 1.2 requires omegaconf<2.3.0,>=2.1.1, but you have omegaconf 2.3.0 which is incompatible.
autogluon-tabular 1.2 requires numpy<2.1.4,>=1.25.0, but you have numpy 1.23.5 which is incompatible.
autogluon-timeseries 1.2 requires numpy<2.1.4,>=1.25.0, but you have numpy 1.23.5 which is incompatible.
blis 1.0.1 requires numpy<3.0.0,>=2.0.0, but you have numpy 1.23.5 which is incompatible.
numba 0.61.0 requires numpy<2.2,>=1.24, but you have numpy 1.23.5 which is incompatible.
sparkmagic 0.21.0 requires pandas<2.0.0,>=0.17.1, but you have pandas 2.2.3 which is incompatible.
tf-keras 2.17.0 requires tensorflow<2.18,>=2.17, but you have tensorflow 2.12.0 which is incompatible.
It also causes the following error in Step 3 (Import the necessary components. Some of them are new for this week, they will be discussed later in the notebook.)
2025-03-01 12:03:14.536690: I tensorflow[/core/platform/cpu_feature_guard.cc:182]] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2025-03-01 12:03:15.412583: W tensorflow[/compiler/tf2tensorrt/utils/py_utils.cc:38]] TF-TRT Warning: Could not find TensorRT
