[cleanup] T5 test, warnings (#5761)

examples/seq2seq/run_eval.py

@@ -46,9 +46,7 @@ def generate_summaries_or_translations(
     for batch in tqdm(list(chunks(examples, batch_size))):
         if "t5" in model_name:
             batch = [model.config.prefix + text for text in batch]
-        batch = tokenizer(batch, max_length=1024, return_tensors="pt", truncation=True, padding="max_length").to(
-            device
-        )
+        batch = tokenizer(batch, return_tensors="pt", truncation=True, padding="max_length").to(device)
         input_ids, attention_mask = trim_batch(**batch, pad_token_id=tokenizer.pad_token_id)
         summaries = model.generate(input_ids=input_ids, attention_mask=attention_mask, **gen_kwargs)
         dec = tokenizer.batch_decode(summaries, skip_special_tokens=True, clean_up_tokenization_spaces=False)

examples/seq2seq/utils.py

@@ -2,6 +2,7 @@ import itertools
 import json
 import os
 import pickle
+from logging import getLogger
 from pathlib import Path
 from typing import Callable, Dict, Iterable, List
 
@@ -181,11 +182,18 @@ class SortishSampler(Sampler):
         return iter(sort_idx)
 
 
+
+logger = getLogger(__name__)
+
+
 def use_task_specific_params(model, task):
-    # update config with summarization specific params
+    """Update config with summarization specific params."""
     task_specific_params = model.config.task_specific_params
+
     if task_specific_params is not None:
-        model.config.update(task_specific_params.get(task, {}))
+        pars = task_specific_params.get(task, {})
+        logger.info(f"using task specific params for {task}: {pars}")
+        model.config.update(pars)
 
 
 def pickle_load(path):