replaced suggested models

Author: NoushNabi

.github/workflows/test_openvino_examples.yml

@@ -44,9 +44,4 @@ jobs:
 
     - name: Test examples
       run: |
-        python examples/openvino/test_examples.py
-        #python examples/openvino/audio-classification/run_audio_classification.py  --model_name_or_path facebook/wav2vec2-base  --nncf_compression_config examples/openvino/audio-classification/configs/wav2vec2-base-qat.json  --dataset_name superb  --dataset_config_name ks  --max_train_samples 10  --max_eval_samples 2  --output_dir /tmp/qat-wav2vec2-base-ft-keyword-spotting  --overwrite_output_dir  --remove_unused_columns False  --do_train  --do_eval  --learning_rate 3e-5  --max_length_seconds 1  --attention_mask False  --warmup_ratio 0.1  --num_train_epochs 1  --gradient_accumulation_steps 1  --dataloader_num_workers 1  --logging_strategy steps  --logging_steps 1  --evaluation_strategy epoch  --save_strategy epoch  --load_best_model_at_end False  --seed 42
-        #python examples/openvino/text-classification/run_glue.py  --model_name_or_path sshleifer/tiny-distilbert-base-cased-distilled-squad  --task_name sst2  --max_train_samples 10  --max_eval_samples 2  --output_dir /tmp/qat-bert-base-ft-sst2  --overwrite_output_dir  --do_train  --do_eval  --max_seq_length 128  --learning_rate 1e-5  --optim adamw_torch  --num_train_epochs 1  --logging_steps 1  --evaluation_strategy steps  --eval_steps 1  --save_strategy epoch  --seed 42
-        #python examples/openvino/question-answering/run_qa.py  --model_name_or_path sshleifer/tiny-distilbert-base-cased-distilled-squad  --dataset_name squad  --do_train  --do_eval  --max_train_samples 10  --max_eval_samples 2  --learning_rate 3e-5  --num_train_epochs 1  --max_seq_length 384  --doc_stride 128  --output_dir /tmp/outputs_squad/  --overwrite_output_dir
-        #python examples/openvino/image-classification/run_image_classification.py  --model_name_or_path nateraw/vit-base-beans  --dataset_name beans  --max_train_samples 10  --max_eval_samples 2  --remove_unused_columns False  --do_train  --do_eval  --learning_rate 2e-5  --num_train_epochs 1  --logging_strategy steps  --logging_steps 1  --evaluation_strategy epoch  --save_strategy epoch  --save_total_limit 1  --seed 1337  --output_dir /tmp/beans_outputs/
-        
+        python examples/openvino/test_examples.py

examples/openvino/test_examples.py

@@ -17,8 +17,6 @@
 import unittest
 from unittest.mock import patch
 
-#os.environ["CUDA_VISIBLE_DEVICES"] = ""
-
 SRC_DIRS = [
     os.path.join(os.path.dirname(__file__), dirname)
     for dirname in [
@@ -42,7 +40,7 @@ def test_audio_classification(self):
         with tempfile.TemporaryDirectory() as tmp_dir:
             test_args = f"""
                 run_audio_classification.py  
-                --model_name_or_path facebook/wav2vec2-base  
+                --model_name_or_path hf-internal-testing/tiny-random-Wav2Vec2Model  
                 --nncf_compression_config  examples/openvino/audio-classification/configs/wav2vec2-base-qat.json  
                 --dataset_name superb  
                 --dataset_config_name ks  
@@ -99,7 +97,7 @@ def test_text_classification(self):
         with tempfile.TemporaryDirectory() as tmp_dir:
             test_args = f"""  
                 run_glue.py  
-                --model_name_or_path sshleifer/tiny-distilbert-base-cased-distilled-squad  
+                --model_name_or_path hf-internal-testing/tiny-random-DistilBertForSequenceClassification  
                 --task_name sst2  
                 --max_train_samples 10  
                 --max_eval_samples 2   
@@ -125,7 +123,7 @@ def test_question_answering(self):
         with tempfile.TemporaryDirectory() as tmp_dir:
             test_args = f"""
                 run_qa.py  
-                --model_name_or_path sshleifer/tiny-distilbert-base-cased-distilled-squad  
+                --model_name_or_path hf-internal-testing/tiny-random-DistilBertForQuestionAnswering  
                 --dataset_name squad  
                 --do_train  
                 --do_eval