[Finetune] use base model mpt-7b instead of mpt-7b-chat

.github/workflows/night_build_memo.txt

@@ -1 +1 @@
-finetune: gpt2, bigscience/bloom-560m, facebook/opt-125m, mosaicml/mpt-7b-chat, huggyllama/llama-7b
+finetune: gpt2, bigscience/bloom-560m, facebook/opt-125m, mosaicml/mpt-7b, huggyllama/llama-7b

.github/workflows/workflow_finetune.yml

@@ -34,7 +34,7 @@ jobs:
     name: finetune
     strategy:
       matrix:
-        model: [ EleutherAI/gpt-j-6b, meta-llama/Llama-2-7b-chat-hf, gpt2, bigscience/bloom-560m, facebook/opt-125m, mosaicml/mpt-7b-chat, meta-llama/Llama-2-7b-hf, mistralai/Mistral-7B-v0.1, google/gemma-2b]
+        model: [ EleutherAI/gpt-j-6b, meta-llama/Llama-2-7b-chat-hf, gpt2, bigscience/bloom-560m, facebook/opt-125m, mosaicml/mpt-7b, meta-llama/Llama-2-7b-hf, mistralai/Mistral-7B-v0.1, google/gemma-2b]
         isPR:
           - ${{inputs.ci_type == 'pr'}}
 
@@ -92,7 +92,7 @@ jobs:
           with open(conf_path, encoding="utf-8") as reader:
               result = yaml.load(reader, Loader=yaml.FullLoader)
               result['General']['base_model'] = "${{ matrix.model }}"
-              if "${{ matrix.model }}" == "mosaicml/mpt-7b-chat":
+              if "${{ matrix.model }}" == "mosaicml/mpt-7b":
                   result['General']['config']['trust_remote_code'] = True
               else:
                   result['General']['config']['trust_remote_code'] = False
@@ -147,7 +147,7 @@ jobs:
 
       - name: Run Deltatuner Test on DENAS-LoRA Model
         run: |
-          if [[ ${{ matrix.model }} =~ ^(mosaicml\/mpt-7b-chat|huggyllama\/llama-7b|meta-llama\/Llama-2-7b-chat-hf|mistralai\/Mistral-7B-v0.1|google\/gemma-2b)$ ]]; then
+          if [[ ${{ matrix.model }} =~ ^(mosaicml\/mpt-7b|huggyllama\/llama-7b|meta-llama\/Llama-2-7b-chat-hf|mistralai\/Mistral-7B-v0.1|google\/gemma-2b)$ ]]; then
             echo ${{ matrix.model }} is not supported!
           else
             docker exec "finetune" bash -c "rm -rf /tmp/llm-ray/*"

docs/finetune_parameters.md

@@ -7,6 +7,7 @@ The following are the parameters supported in the finetuning workflow.
 |Configuration Name| Default|Meaning|
 |-|-|-|
 |base_model| EleutherAI/gpt-j-6b|Path to pretrained model or model identifier from huggingface.co/models|
+|tokenizer_name|None|Path to pretrained tokenizer from huggingface.co/models. If not provided, the tokenizer will be loaded from the `base_model`.|
 |gpt_base_model|True|This parameter is for [Transformers#22482](https://github.com/huggingface/transformers/issues/22482). It needs to be set to True when the pretrained model is realted to gpt, otherwise it is False.|
 |output_dir|/tmp/llm-ray/output|The output directory to store the finetuned model|
 |checkpoint_dir|/tmp/llm-ray/checkpoint|The directory to store checkpoint|

llm_on_ray/finetune/finetune.py

@@ -155,6 +155,10 @@ def train_func(config: Dict[str, Any]):
 
     gradient_accumulation_steps = config["Training"].get("gradient_accumulation_steps", 1)
     base_model = config["General"]["base_model"]
+    if config["General"].get("tokenizer_name") is not None:
+        tokenizer_name = config["General"].get("tokenizer_name")
+    else:
+        tokenizer_name = base_model
     dataset_file = config["Dataset"]["train_file"]
 
     seed = config["Training"].get("seed")
@@ -171,7 +175,7 @@ def train_func(config: Dict[str, Any]):
 
     tokenizer = common.tokenizer.Tokenizer.registory.get("HuggingFaceTokenizer")()(
         config={
-            "name": base_model,
+            "name": tokenizer_name,
             "config": config["General"]["config"],
         }
     )

llm_on_ray/finetune/finetune_config.py

@@ -52,6 +52,7 @@ class DeltatunerConfig(BaseModel):
 
 class General(BaseModel):
     base_model: str
+    tokenizer_name: Optional[str] = None
     gpt_base_model: bool
     output_dir: str
     checkpoint_dir: Optional[str]

llm_on_ray/finetune/models/mpt-7b-chat.yaml → llm_on_ray/finetune/models/mpt-7b.yaml

@@ -1,5 +1,6 @@
 General:
-  base_model: mosaicml/mpt-7b-chat
+  base_model: mosaicml/mpt-7b
+  tokenizer_name: EleutherAI/gpt-neox-20b
   gpt_base_model: false
   output_dir: /tmp/llm-ray/output
   checkpoint_dir: /tmp/llm-ray/checkpoint