diff --git a/.github/workflows/test_openvino_examples.yml b/.github/workflows/test_openvino_examples.yml index 9bb77cb2a..63c11fe9f 100644 --- a/.github/workflows/test_openvino_examples.yml +++ b/.github/workflows/test_openvino_examples.yml @@ -44,7 +44,7 @@ jobs: pip install datasets==2.4.0 pip install -r examples/openvino/audio-classification/requirements.txt pip install -r examples/openvino/image-classification/requirements.txt - #pip install -r examples/openvino/question-answering/requirements.txt + pip install -r examples/openvino/question-answering/requirements.txt #pip install -r examples/openvino/text-classification/requirements.txt - run: free -h @@ -55,7 +55,7 @@ jobs: run: | 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 50 --max_eval_samples 10 --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 5 --gradient_accumulation_steps 4 --dataloader_num_workers 4 --logging_strategy steps --logging_steps 10 --evaluation_strategy epoch --save_strategy epoch --load_best_model_at_end True --metric_for_best_model accuracy --save_total_limit 3 --seed 42 python examples/openvino/image-classification/run_image_classification.py --model_name_or_path nateraw/vit-base-beans --dataset_name beans --max_train_samples 50 --max_eval_samples 10 --remove_unused_columns False --do_train --do_eval --learning_rate 2e-5 --num_train_epochs 1 --logging_strategy steps --logging_steps 10 --evaluation_strategy epoch --save_strategy epoch --save_total_limit 3 --seed 1337 --output_dir /tmp/beans_outputs/ - #python examples/openvino/question-answering/run_qa.py --model_name_or_path distilbert-base-uncased-distilled-squad --dataset_name squad --do_train --do_eval --max_train_samples 50 --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/question-answering/run_qa.py --model_name_or_path distilbert-base-uncased-distilled-squad --dataset_name squad --do_train --do_eval --max_train_samples 50 --learning_rate 3e-5 --num_train_epochs 1 --max_seq_length 384 --doc_stride 128 --output_dir /tmp/outputs_squad/ --overwrite_output_dir #TASK_NAME=sst2 && python examples/openvino/text-classification/run_glue.py --model_name_or_path bert-base-uncased --task_name $TASK_NAME --max_train_samples 20 --max_eval_samples 5 --output_dir /tmp/qat-bert-base-ft-$TASK_NAME --overwrite_output_dir --do_train --do_eval --max_seq_length 128 --learning_rate 1e-5 --optim adamw_torch --num_train_epochs 1 --logging_steps 10 --evaluation_strategy steps --eval_steps 5 --save_strategy epoch --seed 42 #pip install -r examples/openvino/stable-diffusion/requirements.txt