Upload train_unsloth.py with huggingface_hub

train_unsloth.py

@@ -21,7 +21,7 @@ hf_token = os.getenv("HF_TOKEN")
 if hf_token:
     os.environ.setdefault("HF_HUB_TOKEN", hf_token)
 
-DATASET = os.getenv("DATASET", "oExz/reasoning-distill-claude-opus-4-7-max-qwen-format")
+DATASET = os.getenv("DATASET", "oExz/reasoning-distill-claude-opus-4-7-max-qwen-format-text")
 BASE_MODEL = os.getenv("BASE_MODEL", "Qwen/Qwen3.5-4B")
 OUTPUT_REPO = os.getenv("OUTPUT_REPO", "oExz/qwen3.5-4b-reasoning-lora")
 
@@ -51,9 +51,6 @@ model = FastLanguageModel.get_peft_model(
     random_state=3407,
 )
 
-# Fix eos_token for SFTTrainer
-tokenizer.eos_token = tokenizer.decode([tokenizer.eos_token_id])
-
 trackio.init(
     project="qwen-reasoning-finetune",
     space_id="oExz/trackio",
@@ -84,6 +81,7 @@ trainer = SFTTrainer(
         run_name="qwen3.5-4b-reasoning-qlora",
         max_length=1024,
         bf16=True,
+        dataset_text_field="text",
     ),
 )