fix on going errors in transformers unit tests

.github/workflows/lint.yml

@@ -18,4 +18,4 @@ jobs:
         with:
           cache: 'pip'
           cache-dependency-path: '**/**.txt'
-      - uses: pre-commit/action@v2.0.3
+      - uses: pre-commit/action@v3.0.0

examples/t4rec_paper_experiments/t4r_paper_repro/transf_exp_main.py

@@ -224,7 +224,7 @@ def mask_last_interaction(x):
     logger.info(f"Recall@10 of manually masked test data = {str(recall_10)}")
     output_file = os.path.join(training_args.output_dir, "eval_results_over_time.txt")
     with open(output_file, "a") as writer:
-        writer.write(f"\n***** Recall@10 of simulated inference  = {recall_10} *****\n")
+        writer.write(f"\n***** Recall@10 of simulated inference = {recall_10} *****\n")
     # Verify that the recall@10 from train.evaluate() matches the recall@10 calculated manually
     if not isinstance(input_module.masking, t4r.masking.PermutationLanguageModeling):
         # TODO fix inference discrepancy for permutation language modeling

requirements/base_external.txt

@@ -1,4 +1,4 @@
-transformers[torch]>=4.12,<5
+transformers[torch]>=4.12,<4.31.0
 tqdm>=4.27
 pyarrow>=1.0
 torchmetrics>=0.10.0

transformers4rec/torch/experimental.py

@@ -97,7 +97,7 @@ def forward(self, inputs, training=False, testing=False, **kwargs):
             output = seq_rep + context_rep
         else:
             raise ValueError(
-                f"The aggregation {self.fusion_aggregation} is not supported,"
+                f"The aggregation {self.fusion_aggregation} is not supported, "
                 f"please select one of the following aggregations "
                 f"['concat', 'elementwise-mul', 'elementwise-sum']"
             )