Bumping environment and component versions for ACFT HF FT components (#…

…3696)

* Bumping environment and component versions for ACFT HF FT components

* Bumping down env version for FT tasks other than chat-completion

assets/training/finetune_acft_hf_nlp/components/finetune/chat_completion/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: chat_completion_finetune
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Chat Completion Finetune
 description: Component to finetune Hugging Face pretrained models for chat completion task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/chat_completion_finetune) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/81
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/finetune/question_answering/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: question_answering_finetune
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Question Answering Finetune
 description: Component to finetune Hugging Face pretrained models for extractive question answering task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/question_answering_finetune) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/finetune/summarization/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: summarization_finetune
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Summarization Finetune
 description: Component to finetune Hugging Face pretrained models for summarization task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/summarization_finetune) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/finetune/text_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_classification_finetune
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: false
 
 display_name: Text Classification Finetune
 description: Component to finetune Hugging Face pretrained models for text classification task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/text_classification_finetune) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/finetune/text_generation/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_generation_finetune
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Text Generation Finetune
 description: Component to finetune model for Text Generation task
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/finetune/token_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: token_classification_finetune
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: false
 
 display_name: Token Classification Finetune
 description: Component to finetune Hugging Face pretrained models for token classification task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/token_classification_finetune) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/finetune/translation/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: translation_finetune
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Translation Finetune
 description: Component to finetune Hugging Face pretrained models for translation task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/translation_finetune) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/model_converter/common/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: ft_nlp_model_converter
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Common Model Converter
 description: Component to convert the finetune job output to pytorch and mlflow model
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/81
 
 code: ../../../src/model_converter
 

assets/training/finetune_acft_hf_nlp/components/model_import/chat_completion/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: chat_completion_model_import
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Chat Completion Model Import
 description: Component to import PyTorch / MLFlow model. See [docs](https://aka.ms/azureml/components/chat_completion_model_import) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/81
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_hf_nlp/components/model_import/question_answering/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: question_answering_model_import
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Question Answering Model Import
 description: Component to import PyTorch / MLFlow model. See [docs](https://aka.ms/azureml/components/question_answering_model_import) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_hf_nlp/components/model_import/summarization/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: summarization_model_import
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Summarization Model Import
 description: Component to import PyTorch / MLFlow model. See [docs](https://aka.ms/azureml/components/summarization_model_import) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_hf_nlp/components/model_import/text_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_classification_model_import
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Text Classification Model Import
 description: Component to import PyTorch / MLFlow model. See [docs](https://aka.ms/azureml/components/text_classification_model_import) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_hf_nlp/components/model_import/text_generation/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_generation_model_import
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Text Generation Model Import
 description: Import PyTorch / MLFlow model
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_hf_nlp/components/model_import/token_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: token_classification_model_import
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Token Classification Model Import
 description: Component to import PyTorch / MLFlow model. See [docs](https://aka.ms/azureml/components/token_classification_model_import) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_hf_nlp/components/model_import/translation/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: translation_model_import
-version: 0.0.64
+version: 0.0.65
 type: command
 
 is_deterministic: True
 
 display_name: Translation Model Import
 description: Component to import PyTorch / MLFlow model. See [docs](https://aka.ms/azureml/components/translation_model_import) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/78
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_hf_nlp/components/pipeline_components/chat_completion/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: chat_completion_pipeline
-version: 0.0.66
+version: 0.0.67
 type: pipeline
 display_name: Chat Completion Pipeline
 description: Pipeline Component to finetune Hugging Face pretrained models for chat completion task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/chat_completion_pipeline) to learn more.
@@ -495,7 +495,7 @@ outputs:
 jobs:
   ft_nlp_common_validation:
     type: command
-    component: azureml:ft_nlp_common_validation:0.0.64
+    component: azureml:ft_nlp_common_validation:0.0.65
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -532,7 +532,7 @@ jobs:
       auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
   chat_completion_model_import:
     type: command
-    component: azureml:chat_completion_model_import:0.0.64
+    component: azureml:chat_completion_model_import:0.0.65
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -543,7 +543,7 @@ jobs:
       validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
   chat_completion_datapreprocess:
     type: command
-    component: azureml:chat_completion_datapreprocess:0.0.64
+    component: azureml:chat_completion_datapreprocess:0.0.65
     compute: '${{parent.inputs.compute_preprocess}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_preprocess}}'
@@ -560,7 +560,7 @@ jobs:
       model_selector_output: '${{parent.jobs.chat_completion_model_import.outputs.output_dir}}'
   chat_completion_finetune:
     type: command
-    component: azureml:chat_completion_finetune:0.0.64
+    component: azureml:chat_completion_finetune:0.0.65
     compute: '${{parent.inputs.compute_finetune}}'
     distribution:
       type: pytorch
@@ -618,7 +618,7 @@ jobs:
       # mlflow_model_folder: '${{parent.outputs.mlflow_model_folder}}'
   ft_nlp_model_converter:
     type: command
-    component: azureml:ft_nlp_model_converter:0.0.64
+    component: azureml:ft_nlp_model_converter:0.0.65
     compute: '${{parent.inputs.compute_finetune}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_finetune}}'

assets/training/finetune_acft_hf_nlp/components/pipeline_components/question_answering/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: question_answering_pipeline
-version: 0.0.66
+version: 0.0.67
 type: pipeline
 display_name: Question Answering Pipeline
 description: Pipeline Component to finetune Hugging Face pretrained models for extractive question answering task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/question_answering_pipeline) to learn more.
@@ -578,7 +578,7 @@ jobs:
       auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
   question_answering_model_import:
     type: command
-    component: azureml:question_answering_model_import:0.0.64
+    component: azureml:question_answering_model_import:0.0.65
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -589,7 +589,7 @@ jobs:
       validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
   question_answering_datapreprocess:
     type: command
-    component: azureml:question_answering_datapreprocess:0.0.64
+    component: azureml:question_answering_datapreprocess:0.0.65
     compute: '${{parent.inputs.compute_preprocess}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_preprocess}}'
@@ -614,7 +614,7 @@ jobs:
       model_selector_output: '${{parent.jobs.question_answering_model_import.outputs.output_dir}}'
   question_answering_finetune:
     type: command
-    component: azureml:question_answering_finetune:0.0.64
+    component: azureml:question_answering_finetune:0.0.65
     compute: '${{parent.inputs.compute_finetune}}'
     distribution:
       type: pytorch

assets/training/finetune_acft_hf_nlp/components/pipeline_components/summarization/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: summarization_pipeline
-version: 0.0.66
+version: 0.0.67
 type: pipeline
 display_name: Summarization Pipeline
 description: Pipeline Component to finetune Hugging Face pretrained models for summarization task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/summarization_pipeline) to learn more.
@@ -549,7 +549,7 @@ jobs:
       auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
   summarization_model_import:
     type: command
-    component: azureml:summarization_model_import:0.0.64
+    component: azureml:summarization_model_import:0.0.65
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -560,7 +560,7 @@ jobs:
       validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
   summarization_datapreprocess:
     type: command
-    component: azureml:summarization_datapreprocess:0.0.64
+    component: azureml:summarization_datapreprocess:0.0.65
     compute: '${{parent.inputs.compute_preprocess}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_preprocess}}'
@@ -580,7 +580,7 @@ jobs:
       model_selector_output: '${{parent.jobs.summarization_model_import.outputs.output_dir}}'
   summarization_finetune:
     type: command
-    component: azureml:summarization_finetune:0.0.64
+    component: azureml:summarization_finetune:0.0.65
     compute: '${{parent.inputs.compute_finetune}}'
     distribution:
       type: pytorch