[deps] Update for Transformers v5 (#9569)

src/llamafactory/train/sft/workflow.py

@@ -21,13 +21,13 @@ from ...data import SFTDataCollatorWith4DAttentionMask, get_dataset, get_templat
 from ...extras.constants import IGNORE_INDEX
 from ...extras.logging import get_logger
 from ...extras.misc import calculate_tps
+from ...extras.packages import is_transformers_version_greater_than
 from ...extras.ploting import plot_loss
 from ...model import load_model, load_tokenizer
 from ..trainer_utils import create_modelcard_and_push
 from .metric import ComputeAccuracy, ComputeSimilarity, eval_logit_processor
 from .trainer import CustomSeq2SeqTrainer
 
-
 if TYPE_CHECKING:
     from transformers import Seq2SeqTrainingArguments, TrainerCallback
 
@@ -75,7 +75,16 @@ def run_sft(
 
     # Keyword arguments for `model.generate`
     gen_kwargs = generating_args.to_dict(obey_generation_config=True)
-    gen_kwargs["eos_token_id"] = [tokenizer.eos_token_id] + tokenizer.additional_special_tokens_ids
+
+    # Compatible with Transformers v4 and Transformers v5
+    if is_transformers_version_greater_than("5.0.0RC0"):
+        extra_special_tokens = getattr(tokenizer, "_extra_special_tokens", [])
+        extra_ids = tokenizer.convert_tokens_to_ids(extra_special_tokens)
+        all_eos_ids = [tokenizer.eos_token_id] + [i for i in extra_ids if i != -1]
+        unique_eos_ids = list(dict.fromkeys(all_eos_ids))
+        gen_kwargs["eos_token_id"] = unique_eos_ids
+    else:
+        gen_kwargs["eos_token_id"] = [tokenizer.eos_token_id] + tokenizer.additional_special_tokens_ids
     gen_kwargs["pad_token_id"] = tokenizer.pad_token_id
 
     # Initialize our Trainer

tests/model/model_utils/test_attention.py

@@ -15,7 +15,14 @@
 import os
 
 import pytest
-from transformers.utils import is_flash_attn_2_available, is_torch_sdpa_available
+from transformers.utils import is_flash_attn_2_available
+
+# Compatible with Transformers v4 and Transformers v5
+try:
+    from transformers.utils import is_torch_sdpa_available
+except ImportError:
+    def is_torch_sdpa_available():
+        return True
 
 from llamafactory.extras.packages import is_transformers_version_greater_than
 from llamafactory.train.test_utils import load_infer_model