Upload best model

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+trainer_state.json filter=lfs diff=lfs merge=lfs -text

conda-requirements.txt

@@ -0,0 +1,229 @@
+# This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: linux-64
+_libgcc_mutex=0.1=main
+_openmp_mutex=5.1=1_gnu
+addict=2.4.0=pypi_0
+aiofiles=22.1.0=pypi_0
+aiohttp=3.8.3=pypi_0
+aiosignal=1.3.1=pypi_0
+aiosqlite=0.18.0=pypi_0
+alembic=1.9.2=pypi_0
+anyio=3.6.2=pypi_0
+appdirs=1.4.4=pypi_0
+argon2-cffi=21.3.0=pypi_0
+argon2-cffi-bindings=21.2.0=pypi_0
+arrow=1.2.3=pypi_0
+asttokens=2.2.1=pyhd8ed1ab_0
+async-timeout=4.0.2=pypi_0
+attrs=22.1.0=pypi_0
+audioread=3.0.0=pypi_0
+autoflake=2.0.0=pypi_0
+autograd=1.5=pypi_0
+autopep8=2.0.1=pypi_0
+babel=2.11.0=pypi_0
+backcall=0.2.0=pyh9f0ad1d_0
+backports=1.0=pyhd8ed1ab_3
+backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
+beautifulsoup4=4.11.2=pypi_0
+black=22.12.0=pypi_0
+bleach=6.0.0=pypi_0
+ca-certificates=2022.12.7=ha878542_0
+certifi=2022.12.7=pypi_0
+cffi=1.15.1=pypi_0
+charset-normalizer=2.1.1=pypi_0
+click=8.1.3=pypi_0
+cma=2.7.0=pypi_0
+cmaes=0.9.1=pypi_0
+coloredlogs=15.0.1=pypi_0
+colorlog=6.7.0=pypi_0
+comm=0.1.2=pyhd8ed1ab_0
+cudatoolkit=11.6.0=habf752d_9
+cycler=0.11.0=pypi_0
+datasets=2.8.0=pypi_0
+debugpy=1.6.4=pypi_0
+decorator=5.1.1=pyhd8ed1ab_0
+defusedxml=0.7.1=pypi_0
+dill=0.3.6=pypi_0
+docker-pycreds=0.4.0=pypi_0
+entrypoints=0.4=pyhd8ed1ab_0
+evaluate=0.4.0=pypi_0
+executing=1.2.0=pyhd8ed1ab_0
+fastjsonschema=2.16.2=pypi_0
+filelock=3.8.2=pypi_0
+flake8=6.0.0=pypi_0
+fonttools=4.38.0=pypi_0
+fqdn=1.5.1=pypi_0
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+fsspec=2022.11.0=pypi_0
+future=0.18.2=pypi_0
+gitdb=4.0.10=pypi_0
+gitpython=3.1.29=pypi_0
+greenlet=2.0.2=pypi_0
+huggingface-hub=0.11.1=pypi_0
+humanfriendly=10.0=pypi_0
+idna=3.4=pypi_0
+importlib-metadata=5.2.0=pypi_0
+importlib-resources=5.10.2=pypi_0
+ipykernel=6.20.2=pyh210e3f2_0
+ipython=8.9.0=pyh41d4057_0
+ipython-genutils=0.2.0=pypi_0
+ipywidgets=8.0.4=pypi_0
+isoduration=20.11.0=pypi_0
+isort=5.11.4=pypi_0
+jedi=0.18.2=pyhd8ed1ab_0
+jinja2=3.1.2=pypi_0
+joblib=1.2.0=pypi_0
+json5=0.9.11=pypi_0
+jsonpointer=2.3=pypi_0
+jsonschema=4.17.3=pypi_0
+jstyleson=0.0.2=pypi_0
+jupyter-client=8.0.2=pypi_0
+jupyter-events=0.5.0=pypi_0
+jupyter-server=2.2.1=pypi_0
+jupyter-server-fileid=0.6.0=pypi_0
+jupyter-server-terminals=0.4.4=pypi_0
+jupyter-server-ydoc=0.6.1=pypi_0
+jupyter-ydoc=0.2.2=pypi_0
+jupyter_core=5.1.5=py38h578d9bd_0
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+jupyterlab-pygments=0.2.2=pypi_0
+jupyterlab-server=2.19.0=pypi_0
+jupyterlab-widgets=3.0.5=pypi_0
+kiwisolver=1.4.4=pypi_0
+ld_impl_linux-64=2.38=h1181459_1
+libedit=3.1.20221030=h5eee18b_0
+libffi=3.4.2=h6a678d5_6
+libgcc-ng=11.2.0=h1234567_1
+libgomp=11.2.0=h1234567_1
+librosa=0.9.2=pypi_0
+libsodium=1.0.18=h36c2ea0_1
+libstdcxx-ng=11.2.0=h1234567_1
+llvmlite=0.39.1=pypi_0
+mako=1.2.4=pypi_0
+markupsafe=2.1.2=pypi_0
+matplotlib=3.5.3=pypi_0
+matplotlib-inline=0.1.6=pyhd8ed1ab_0
+mistune=2.0.5=pypi_0
+mpmath=1.2.1=pypi_0
+multidict=6.0.3=pypi_0
+multiprocess=0.70.14=pypi_0
+mypy-extensions=0.4.3=pypi_0
+natsort=8.2.0=pypi_0
+nbclassic=0.5.1=pypi_0
+nbclient=0.7.2=pypi_0
+nbconvert=7.2.9=pypi_0
+nbformat=5.7.3=pypi_0
+ncurses=6.3=h5eee18b_3
+nest-asyncio=1.5.6=pyhd8ed1ab_0
+networkx=2.8.8=pypi_0
+ninja=1.10.2.4=pypi_0
+nncf=2.4.0.dev0+c02f9f3=pypi_0
+notebook=6.5.2=pypi_0
+notebook-shim=0.2.2=pypi_0
+ntplib=0.4.0=pypi_0
+numba=0.56.4=pypi_0
+numpy=1.23.4=pypi_0
+onnx=1.13.0=pypi_0
+opencv-python=4.7.0.68=pypi_0
+openssl=1.1.1s=h7f8727e_0
+openvino=2023.0.0.dev20230119=pypi_0
+openvino-dev=2023.0.0.dev20230119=pypi_0
+openvino-telemetry=2022.3.0=pypi_0
+optimum=1.6.3=pypi_0
+optimum-intel=1.7.0.dev0=pypi_0
+optuna=3.1.0=pypi_0
+packaging=22.0=pypi_0
+pandas=1.3.5=pypi_0
+pandocfilters=1.5.0=pypi_0
+parameterized=0.8.1=pypi_0
+parso=0.8.3=pyhd8ed1ab_0
+pathspec=0.10.3=pypi_0
+pathtools=0.1.2=pypi_0
+pexpect=4.8.0=pyh1a96a4e_2
+pickleshare=0.7.5=py_1003
+pillow=9.4.0=pypi_0
+pip=22.3.1=py38h06a4308_0
+pkgutil-resolve-name=1.3.10=pypi_0
+platformdirs=2.6.2=pyhd8ed1ab_0
+pooch=1.6.0=pypi_0
+prometheus-client=0.16.0=pypi_0
+promise=2.3=pypi_0
+prompt-toolkit=3.0.36=pyha770c72_0
+protobuf=3.20.2=pypi_0
+psutil=5.9.0=py38h5eee18b_0
+ptyprocess=0.7.0=pyhd3deb0d_0
+pure_eval=0.2.2=pyhd8ed1ab_0
+pyarrow=10.0.1=pypi_0
+pycodestyle=2.10.0=pypi_0
+pycparser=2.21=pypi_0
+pydot=1.4.2=pypi_0
+pyflakes=3.0.1=pypi_0
+pygments=2.14.0=pyhd8ed1ab_0
+pymoo=0.5.0=pypi_0
+pyparsing=2.4.7=pypi_0
+pyrsistent=0.19.2=pypi_0
+python=3.8.15=h7a1cb2a_2
+python-dateutil=2.8.2=pyhd8ed1ab_0
+python-json-logger=2.0.4=pypi_0
+python_abi=3.8=2_cp38
+pytz=2022.7.1=pypi_0
+pyyaml=6.0=pypi_0
+pyzmq=25.0.0=pypi_0
+readline=8.2=h5eee18b_0
+regex=2022.10.31=pypi_0
+requests=2.28.2=pypi_0
+resampy=0.4.2=pypi_0
+responses=0.18.0=pypi_0
+rfc3339-validator=0.1.4=pypi_0
+rfc3986-validator=0.1.1=pypi_0
+scikit-learn=1.2.0=pypi_0
+scipy=1.10.0=pypi_0
+send2trash=1.8.0=pypi_0
+sentencepiece=0.1.97=pypi_0
+sentry-sdk=1.12.1=pypi_0
+setproctitle=1.3.2=pypi_0
+setuptools=65.5.0=py38h06a4308_0
+shortuuid=1.0.11=pypi_0
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+smmap=5.0.0=pypi_0
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+soupsieve=2.3.2.post1=pypi_0
+sqlalchemy=2.0.1=pypi_0
+sqlite=3.40.0=h5082296_0
+stack_data=0.6.2=pyhd8ed1ab_0
+sympy=1.11.1=pypi_0
+terminado=0.17.1=pypi_0
+texttable=1.6.7=pypi_0
+threadpoolctl=3.1.0=pypi_0
+tinycss2=1.2.1=pypi_0
+tk=8.6.12=h1ccaba5_0
+tokenizers=0.13.2=pypi_0
+tomli=2.0.1=pypi_0
+torch=1.13.1+cu116=pypi_0
+torchaudio=0.13.1+cu116=pypi_0
+torchvision=0.14.1+cu116=pypi_0
+tornado=6.2=pypi_0
+tqdm=4.64.1=pypi_0
+traitlets=5.8.1=pyhd8ed1ab_0
+transformers=4.26.0=pypi_0
+typing-extensions=4.4.0=hd8ed1ab_0
+typing_extensions=4.4.0=pyha770c72_0
+uri-template=1.2.0=pypi_0
+urllib3=1.26.14=pypi_0
+wandb=0.13.7=pypi_0
+wcwidth=0.2.6=pyhd8ed1ab_0
+webcolors=1.12=pypi_0
+webencodings=0.5.1=pypi_0
+websocket-client=1.5.1=pypi_0
+wheel=0.37.1=pyhd3eb1b0_0
+widgetsnbextension=4.0.5=pypi_0
+xxhash=3.1.0=pypi_0
+xz=5.2.8=h5eee18b_0
+y-py=0.5.5=pypi_0
+yarl=1.8.2=pypi_0
+ypy-websocket=0.8.2=pypi_0
+zeromq=4.3.4=h9c3ff4c_1
+zipp=3.11.0=pypi_0
+zlib=1.2.13=h5eee18b_0

config.json

@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "textattack/bert-base-uncased-SST-2",
+  "architectures": [
+    "NNCFNetwork"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "finetuning_task": "sst2",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "negative": 0,
+    "positive": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+      "epoch": 27.08,
+      "eval_accuracy": 0.9139908256880734,
+      "eval_loss": 0.41159623861312866,
+      "eval_runtime": 10.2305,
+      "eval_samples_per_second": 85.235,
+      "eval_steps_per_second": 2.737,
+      "step": 57000
+}

nncf_config.json

@@ -0,0 +1,49 @@
+[
+    {
+        "algorithm": "quantization",
+        "preset": "mixed",
+        "overflow_fix": "disable",
+        "initializer": {
+            "range": {
+                "num_init_samples": 300,
+                "type": "mean_min_max"
+            },
+            "batchnorm_adaptation": {
+                "num_bn_adaptation_samples": 0
+            }
+        },
+        "scope_overrides": {
+            "activations": {
+                "{re}.*matmul_0": {
+                    "mode": "symmetric"
+                }
+            }
+        },
+        "ignored_scopes": [
+            "{re}.*Embeddings.*",
+            "{re}.*__add___[0-1]",
+            "{re}.*layer_norm_0",
+            "{re}.*matmul_1",
+            "{re}.*__truediv__*"
+        ]
+    },
+    {
+        "algorithm": "magnitude_sparsity",
+        "ignored_scopes": [
+            "{re}.*NNCFEmbedding.*",
+            "{re}.*LayerNorm.*",
+            "{re}.*pooler.*",
+            "{re}.*classifier.*"
+        ],
+        "sparsity_init": 0.0,
+        "params": {
+            "power": 3,
+            "schedule": "polynomial",
+            "sparsity_freeze_epoch": 26,
+            "sparsity_target": 0.8,
+            "sparsity_target_epoch": 25,
+            "steps_per_epoch": 2105,
+            "update_per_optimizer_step": true
+        }
+    }
+]

openvino_config.json

@@ -0,0 +1,82 @@
+{
+  "compression": [
+    {
+      "algorithm": "quantization",
+      "export_to_onnx_standard_ops": false,
+      "ignored_scopes": [
+        "{re}.*Embeddings.*",
+        "{re}.*__add___[0-1]",
+        "{re}.*layer_norm_0",
+        "{re}.*matmul_1",
+        "{re}.*__truediv__*"
+      ],
+      "initializer": {
+        "batchnorm_adaptation": {
+          "num_bn_adaptation_samples": 0
+        },
+        "range": {
+          "num_init_samples": 300,
+          "type": "mean_min_max"
+        }
+      },
+      "overflow_fix": "disable",
+      "preset": "mixed",
+      "scope_overrides": {
+        "activations": {
+          "{re}.*matmul_0": {
+            "mode": "symmetric"
+          }
+        }
+      }
+    },
+    {
+      "algorithm": "magnitude_sparsity",
+      "ignored_scopes": [
+        "{re}.*NNCFEmbedding.*",
+        "{re}.*LayerNorm.*",
+        "{re}.*pooler.*",
+        "{re}.*classifier.*"
+      ],
+      "params": {
+        "power": 3,
+        "schedule": "polynomial",
+        "sparsity_freeze_epoch": 26,
+        "sparsity_target": 0.8,
+        "sparsity_target_epoch": 25,
+        "steps_per_epoch": 2105,
+        "update_per_optimizer_step": true
+      },
+      "sparsity_init": 0.0
+    }
+  ],
+  "input_info": [
+    {
+      "keyword": "input_ids",
+      "sample_size": [
+        32,
+        128
+      ],
+      "type": "long"
+    },
+    {
+      "keyword": "token_type_ids",
+      "sample_size": [
+        32,
+        128
+      ],
+      "type": "long"
+    },
+    {
+      "keyword": "attention_mask",
+      "sample_size": [
+        32,
+        128
+      ],
+      "type": "long"
+    }
+  ],
+  "log_dir": "/nvme2/yujiepan/workspace/jpqd-test/LOGS/optimum-magnitude/0209_1e11_QMaP80_LR5e-05_COS8,6,4,4,4,4_EPO30_PerStp_INIT0.0_END25_BS32_LT0.95TMP2_SEED1_dgx1",
+  "optimum_version": "1.6.3",
+  "save_onnx_model": false,
+  "transformers_version": "4.26.0"
+}

openvino_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b091c0ef15e9660d2f6059a9eb86bf97e5f395de59d7dc7492f3e0982a1070d
+size 181696972

pip-requirements.txt

@@ -0,0 +1,213 @@
+addict==2.4.0
+aiofiles==22.1.0
+aiohttp==3.8.3
+aiosignal==1.3.1
+aiosqlite==0.18.0
+alembic==1.9.2
+anyio==3.6.2
+appdirs==1.4.4
+argon2-cffi==21.3.0
+argon2-cffi-bindings==21.2.0
+arrow==1.2.3
+astroid==1.6.6
+asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1670263926556/work
+async-timeout==4.0.2
+attrs==22.1.0
+audioread==3.0.0
+autoflake==2.0.0
+autograd==1.5
+autopep8==2.0.1
+Babel==2.11.0
+backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
+backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work
+beautifulsoup4==4.11.2
+black==22.12.0
+bleach==6.0.0
+blessings==1.7
+certifi==2022.12.7
+cffi==1.15.1
+charset-normalizer==2.1.1
+click==8.1.3
+cma==2.7.0
+cmaes==0.9.1
+coloredlogs==15.0.1
+colorlog==6.7.0
+comm @ file:///home/conda/feedstock_root/build_artifacts/comm_1670575068857/work
+cycler==0.11.0
+datasets==2.8.0
+debugpy==1.6.4
+decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
+defusedxml==0.7.1
+dill==0.3.6
+docker-pycreds==0.4.0
+entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work
+et-xmlfile==1.1.0
+evaluate==0.4.0
+executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1667317341051/work
+fastjsonschema==2.16.2
+filelock==3.8.2
+flake8==6.0.0
+fonttools==4.38.0
+fqdn==1.5.1
+frozenlist==1.3.3
+fsspec==2022.11.0
+future==0.18.2
+gitdb==4.0.10
+GitPython==3.1.29
+gpustat==0.6.0
+greenlet==2.0.2
+huggingface-hub==0.11.1
+humanfriendly==10.0
+idna==3.4
+importlib-metadata==5.2.0
+importlib-resources==5.10.2
+iniconfig==1.1.1
+ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1673894597753/work
+ipython @ file:///home/conda/feedstock_root/build_artifacts/ipython_1674911957283/work
+ipython-genutils==0.2.0
+ipywidgets==8.0.4
+isoduration==20.11.0
+isort==5.10.1
+jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1669134318875/work
+Jinja2==3.1.2
+joblib==1.2.0
+json5==0.9.11
+jsonpointer==2.3
+jsonschema==4.17.3
+jstyleson==0.0.2
+jupyter-events==0.5.0
+jupyter-ydoc==0.2.2
+jupyter_client==8.0.2
+jupyter_core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_core_1674601164834/work
+jupyter_server==2.2.1
+jupyter_server_fileid==0.6.0
+jupyter_server_terminals==0.4.4
+jupyter_server_ydoc==0.6.1
+jupyterlab==3.6.1
+jupyterlab-pygments==0.2.2
+jupyterlab-widgets==3.0.5
+jupyterlab_server==2.19.0
+kiwisolver==1.4.4
+lazy-object-proxy==1.7.1
+librosa==0.9.2
+llvmlite==0.39.1
+Mako==1.2.4
+MarkupSafe==2.1.2
+matplotlib==3.5.3
+matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1660814786464/work
+mccabe==0.7.0
+mistune==2.0.5
+mpmath==1.2.1
+multidict==6.0.3
+multiprocess==0.70.14
+mypy-extensions==0.4.3
+natsort==8.2.0
+nbclassic==0.5.1
+nbclient==0.7.2
+nbconvert==7.2.9
+nbformat==5.7.3
+nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1664684991461/work
+networkx==2.8.8
+ninja==1.10.2.4
+nncf @ git+https://github.com/openvinotoolkit/nncf@c02f9f3bc0d77677b8cacbeedf102bb8ca93c0ac
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