reward-train-facebook-opt350m_v2

README.md

@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 10
 
 ### Training results
 

adapter_config.json

@@ -24,14 +24,14 @@
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   "task_type": "SEQ_CLS",

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wandb/run-20240612_150610-7vg9fga2/files/conda-environment.yaml

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+  - xorg-kbproto=1.0.7=h7f98852_1002
+  - xorg-libice=1.1.1=hd590300_0
+  - xorg-libsm=1.2.4=h7391055_0
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+  - xorg-renderproto=0.11.1=h7f98852_1002
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+  - xyzservices=2023.10.1=pyhd8ed1ab_0
+  - xz=5.2.6=h166bdaf_0
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+  - zstd=1.5.5=hfc55251_0
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+      - accelerate==0.25.0
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+      - alembic==1.13.1
+      - altair==5.2.0
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+      - ansiwrap==0.8.4
+      - apache-beam==2.46.0
+      - aplus==0.11.0
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+      - astunparse==1.6.3
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+      - gitpython==3.1.32
+      - google-ai-generativelanguage==0.4.0
+      - google-api-core==2.15.0
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+      - google-apitools==0.5.31
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+      - google-auth-oauthlib==1.0.0
+      - google-cloud-aiplatform==0.6.0a1
+      - google-cloud-artifact-registry==1.8.3
+      - google-cloud-automl==1.0.1
+      - google-cloud-bigquery==2.34.4
+      - google-cloud-bigtable==1.7.3
+      - google-cloud-dlp==3.12.2
+      - google-cloud-language==2.12.0
+      - google-cloud-monitoring==2.15.1
+      - google-cloud-pubsub==2.18.3
+      - google-cloud-pubsublite==1.8.3
+      - google-cloud-recommendations-ai==0.7.1
+      - google-cloud-resource-manager==1.10.3
+      - google-cloud-spanner==3.40.1
+      - google-cloud-storage==1.44.0
+      - google-cloud-translate==3.12.1
+      - google-cloud-videointelligence==2.12.0
+      - google-cloud-vision==2.8.0
+      - google-crc32c==1.5.0
+      - google-generativeai==0.3.2
+      - google-pasta==0.2.0
+      - google-resumable-media==2.5.0
+      - gplearn==0.4.2
+      - gpustat==1.0.0
+      - gpxpy==1.6.2
+      - greenlet==2.0.2
+      - grpc-google-iam-v1==0.12.6
+      - grpcio==1.57.0
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+      - gviz-api==1.10.0
+      - gym==0.26.2
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+      - h11==0.14.0
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+      - hep-ml==0.7.2
+      - hijri-converter==2.3.1
+      - hmmlearn==0.3.0
+      - holidays==0.24
+      - holoviews==1.18.1
+      - hpsklearn==0.1.0
+      - html5lib==1.1
+      - htmlmin==0.1.12
+      - httplib2==0.21.0
+      - httptools==0.6.1
+      - huggingface-hub==0.20.2
+      - humanize==4.9.0
+      - hunspell==0.5.5
+      - husl==4.0.3
+      - hydra-slayer==0.5.0
+      - hyperopt==0.2.7
+      - hypertools==0.8.0
+      - igraph==0.11.3
+      - imagecodecs==2024.1.1
+      - imagehash==4.3.1
+      - imageio==2.31.1
+      - imbalanced-learn==0.11.0
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+      - inequality==1.0.1
+      - iniconfig==2.0.0
+      - ipydatawidgets==4.3.5
+      - ipyleaflet==0.18.1
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+      - ipython-genutils==0.2.0
+      - ipython-sql==0.5.0
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+      - ipyvue==1.10.1
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+      - ipywebrtc==0.6.0
+      - ipywidgets==7.7.1
+      - isort==5.13.2
+      - isoweek==1.3.3
+      - itsdangerous==2.1.2
+      - janome==0.5.0
+      - jaraco-classes==3.3.0
+      - jax==0.4.21
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+      - jeepney==0.8.0
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+      - kaggle==1.6.2
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+      - keyring==24.2.0
+      - keyrings-google-artifactregistry-auth==1.1.2
+      - kfp==2.0.1
+      - kfp-pipeline-spec==0.2.2
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+      - kmapper==2.0.1
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+      - korean-lunar-calendar==0.3.1
+      - kornia==0.7.1
+      - kt-legacy==1.0.5
+      - kubernetes==26.1.0
+      - langid==1.1.6
+      - lazy-loader==0.3
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+      - libclang==16.0.6
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+      - librosa==0.10.1
+      - lightgbm==3.3.2
+      - lightning-utilities==0.10.0
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+      - linkify-it-py==2.0.2
+      - llvmlite==0.40.1
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+      - lunarcalendar==0.0.9
+      - lxml==5.1.0
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+      - mako==1.3.0
+      - mapclassify==2.6.0
+      - marisa-trie==1.1.0
+      - markdown==3.4.4
+      - markovify==0.9.4
+      - marshmallow==3.20.2
+      - matplotlib==3.7.4
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+      - missingno==0.5.2
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+      - mizani==0.10.0
+      - ml-dtypes==0.3.2
+      - mlcrate==0.2.0
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+      - mnist==0.2.2
+      - mock==5.1.0
+      - momepy==0.7.0
+      - more-itertools==10.1.0
+      - mpld3==0.5.10
+      - mpmath==1.3.0
+      - msgpack==1.0.5
+      - msgpack-numpy==0.4.8
+      - multimethod==1.9.1
+      - multipledispatch==1.0.0
+      - multiprocess==0.70.15
+      - mypy-extensions==1.0.0
+      - namex==0.0.7
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+      - nbconvert==6.4.5
+      - nbdime==3.2.0
+      - ndindex==1.7
+      - nest-asyncio==1.5.7
+      - netcdf4==1.6.5
+      - networkx==3.1
+      - nibabel==5.2.0
+      - nilearn==0.10.2
+      - ninja==1.11.1.1
+      - nltk==3.2.4
+      - nose==1.3.7
+      - notebook==6.5.5
+      - notebook-executor==0.2
+      - numba==0.57.1
+      - numexpr==2.8.8
+      - numpy==1.24.3
+      - nvidia-ml-py==11.495.46
+      - oauth2client==4.1.3
+      - oauthlib==3.2.2
+      - objsize==0.6.1
+      - odfpy==1.4.1
+      - olefile==0.47
+      - onnx==1.15.0
+      - opencensus==0.11.2
+      - opencensus-context==0.1.3
+      - opencv-contrib-python==4.9.0.80
+      - opencv-python==4.9.0.80
+      - opencv-python-headless==4.9.0.80
+      - openpyxl==3.1.2
+      - openslide-python==1.3.1
+      - opentelemetry-api==1.19.0
+      - opentelemetry-exporter-otlp==1.19.0
+      - opentelemetry-exporter-otlp-proto-common==1.19.0
+      - opentelemetry-exporter-otlp-proto-grpc==1.19.0
+      - opentelemetry-exporter-otlp-proto-http==1.19.0
+      - opentelemetry-proto==1.19.0
+      - opentelemetry-sdk==1.19.0
+      - opentelemetry-semantic-conventions==0.40b0
+      - opt-einsum==3.3.0
+      - optax==0.1.7
+      - optuna==3.5.0
+      - orbax-checkpoint==0.4.8
+      - orderedmultidict==1.0.1
+      - orjson==3.9.5
+      - ortools==9.4.1874
+      - osmnx==1.1.1
+      - overrides==6.5.0
+      - packaging==21.3
+      - pandas==2.0.3
+      - pandas-datareader==0.10.0
+      - pandas-profiling==3.6.6
+      - pandas-summary==0.2.0
+      - pandasql==0.7.3
+      - panel==1.3.6
+      - papermill==2.4.0
+      - param==2.0.1
+      - path==16.9.0
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+      - pathos==0.3.1
+      - patsy==0.5.3
+      - pdf2image==1.17.0
+      - peft==0.11.1
+      - pettingzoo==1.24.0
+      - phik==0.12.3
+      - pillow==9.5.0
+      - platformdirs==4.1.0
+      - plotly==5.16.1
+      - plotly-express==0.4.1
+      - plotnine==0.10.1
+      - pointpats==2.4.0
+      - polars==0.20.3
+      - polyglot==16.7.4
+      - pooch==1.8.0
+      - pox==0.3.3
+      - ppca==0.0.4
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+      - preprocessing==0.1.13
+      - prettytable==3.8.0
+      - progressbar2==4.3.2
+      - promise==2.3
+      - pronouncing==0.2.0
+      - prophet==1.1.1
+      - proto-plus==1.22.3
+      - protobuf==3.20.3
+      - psutil==5.9.3
+      - ptxcompiler-cu11==0.7.0.post1
+      - pudb==2023.1
+      - pulp==2.7.0
+      - py-cpuinfo==9.0.0
+      - py-spy==0.3.14
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+      - pyaml==23.12.0
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+      - pyasn1==0.5.0
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+      - pyastronomy==0.20.0
+      - pybind11==2.11.1
+      - pyclipper==1.3.0.post5
+      - pycodestyle==2.11.1
+      - pycparser==2.21
+      - pycryptodome==3.19.1
+      - pyct==0.5.0
+      - pycuda==2024.1
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+      - pydegensac==0.1.2
+      - pydicom==2.4.4
+      - pydocstyle==6.3.0
+      - pydot==1.4.2
+      - pydub==0.25.1
+      - pyemd==1.0.0
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+      - pyldavis==3.2.2
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+      - pyparsing==3.0.9
+      - pypdf==3.17.4
+      - pysal==23.7
+      - pytesseract==0.3.10
+      - pytest==7.4.4
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+      - python-dotenv==1.0.0
+      - python-graphviz==0.20.1
+      - python-levenshtein==0.23.0
+      - python-louvain==0.16
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+      - python-utils==3.8.1
+      - pythreejs==2.4.2
+      - pytoolconfig==1.2.6
+      - pytools==2023.1.1
+      - pytorch-ignite==0.4.13
+      - pytorch-lightning==2.1.3
+      - pyupset==0.1.1.post7
+      - pyviz-comms==3.0.0
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+      - regex==2023.8.8
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+      - safetensors==0.4.1
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+      - scikit-learn-intelex==2024.0.1
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+      - scikit-surprise==1.1.3
+      - scipy==1.7.3
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+      - secretstorage==3.3.3
+      - segment-anything==1.0
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+      - sentencepiece==0.1.99
+      - sentry-sdk==1.39.1
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wandb/run-20240612_150610-7vg9fga2/files/config.yaml

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wandb/run-20240612_150610-7vg9fga2/files/output.log

@@ -0,0 +1,26 @@
+You're using a GPT2TokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2636: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
+Could not estimate the number of tokens of the input, floating-point operations will not be computed
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2636: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2636: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2636: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2636: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2636: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.

wandb/run-20240612_150610-7vg9fga2/files/requirements.txt

@@ -0,0 +1,847 @@
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