re-enable DPO for tests in modal ci (#1374)

* re-enable DPO for tests in modal ci

* workaround for training args

* don't mixin AxolotlTrainingArguments

* fix mixin order so MRO doesn't result in

 TypeError: non-default argument follows default argument error

* use smaller datasets for dpo tests

src/axolotl/prompt_strategies/orpo/chat_template.py

@@ -56,7 +56,9 @@ class ORPODatasetParsingStrategy:
         messages: List[Message] = []
         if system := prompt.get("system", None):
             messages.append(Message(role="system", content=system, label=False))
-        messages.append(Message(role="user", content=prompt["prompt"], label=False))
+        messages.append(
+            Message(role="user", content=prompt["chosen"][0]["content"], label=False)
+        )
         messages.append(
             Message(
                 role="assistant", content=prompt["chosen"][1]["content"], label=True
@@ -70,7 +72,9 @@ class ORPODatasetParsingStrategy:
         messages: List[Message] = []
         if system := prompt.get("system", None):
             messages.append(Message(role="system", content=system, label=False))
-        messages.append(Message(role="user", content=prompt["prompt"], label=False))
+        messages.append(
+            Message(role="user", content=prompt["rejected"][0]["content"], label=False)
+        )
         messages.append(
             Message(
                 role="assistant", content=prompt["rejected"][1]["content"], label=True
@@ -152,8 +156,8 @@ class ORPOTokenizingStrategy(PromptTokenizingStrategy):
     def tokenize_prompt(self, prompt):
         # pass the rejected prompt/row to the Prompter to get the formatted prompt
         prompt_len = 0
-        rejected_message_list = self.dataset_parser.get_rejected_conversation_thread(
-            prompt
+        rejected_message_list: MessageList = (
+            self.dataset_parser.get_rejected_conversation_thread(prompt)
         )
         input_ids = []
         labels = []
@@ -174,7 +178,9 @@ class ORPOTokenizingStrategy(PromptTokenizingStrategy):
         rejected_input_ids = input_ids
         rejected_labels = labels
         # pass the chosen prompt/row to the Prompter to get the formatted prompt
-        chosen_message_list = self.dataset_parser.get_chosen_conversation_thread(prompt)
+        chosen_message_list: MessageList = (
+            self.dataset_parser.get_chosen_conversation_thread(prompt)
+        )
         input_ids = []
         labels = []
         for _, (part, label) in enumerate(

tests/e2e/test_dpo.py

@@ -21,7 +21,6 @@ LOG = logging.getLogger("axolotl.tests.e2e")
 os.environ["WANDB_DISABLED"] = "true"
 
 
-@pytest.mark.skip(reason="doesn't seem to work on modal")
 class TestDPOLlamaLora(unittest.TestCase):
     """
     Test case for DPO Llama models using LoRA
@@ -45,8 +44,8 @@ class TestDPOLlamaLora(unittest.TestCase):
                 "rl": "dpo",
                 "datasets": [
                     {
-                        "path": "Intel/orca_dpo_pairs",
-                        "type": "chatml.intel",
+                        "path": "arcee-ai/distilabel-intel-orca-dpo-pairs-binarized",
+                        "type": "chatml.ultra",
                         "split": "train",
                     },
                 ],
@@ -89,8 +88,8 @@ class TestDPOLlamaLora(unittest.TestCase):
                 "rl": "kto_pair",
                 "datasets": [
                     {
-                        "path": "Intel/orca_dpo_pairs",
-                        "type": "chatml.intel",
+                        "path": "arcee-ai/distilabel-intel-orca-dpo-pairs-binarized",
+                        "type": "chatml.ultra",
                         "split": "train",
                     },
                 ],
@@ -133,8 +132,8 @@ class TestDPOLlamaLora(unittest.TestCase):
                 "rl": "ipo",
                 "datasets": [
                     {
-                        "path": "Intel/orca_dpo_pairs",
-                        "type": "chatml.intel",
+                        "path": "arcee-ai/distilabel-intel-orca-dpo-pairs-binarized",
+                        "type": "chatml.ultra",
                         "split": "train",
                     },
                 ],
@@ -180,7 +179,7 @@ class TestDPOLlamaLora(unittest.TestCase):
                 "chat_template": "chatml",
                 "datasets": [
                     {
-                        "path": "argilla/ultrafeedback-binarized-preferences-cleaned",
+                        "path": "argilla/distilabel-capybara-dpo-7k-binarized",
                         "type": "chat_template.argilla",
                         "split": "train",
                     },
@@ -206,6 +205,7 @@ class TestDPOLlamaLora(unittest.TestCase):
         train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
         assert (Path(temp_dir) / "checkpoint-20/adapter_model.safetensors").exists()
 
+    @pytest.mark.skip(reason="Fix the implementation")
     @with_temp_dir
     def test_kto_lora(self, temp_dir):
         # pylint: disable=duplicate-code