reward-train-facebook

README.md

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+---
+license: other
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: facebook/opt-1.3b
+model-index:
+- name: facebook/opt-1.3b
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# facebook/opt-1.3b
+
+This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1.41e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.0.0
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+  "base_model_name_or_path": "facebook/opt-1.3b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "scores"
+  ],
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "SEQ_CLS"
+}

adapter_model.safetensors

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runs/Jun11_21-07-00_7d7e1de3d887/events.out.tfevents.1718140020.7d7e1de3d887.26.0

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special_tokens_map.json

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+    "single_word": false
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+}

tokenizer_config.json

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+  "pad_token": "<pad>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "</s>"
+}

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+  - libcublas-dev=11.11.3.6=0
+  - libcudf=23.08.00=cuda11_230809_g8150d38e08_0
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+  - libllvm14=14.0.6=hcd5def8_4
+  - libmamba=1.5.0=h658169a_0
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+  - libnuma=2.0.16=h0b41bf4_1
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+  - libprotobuf=3.21.12=hfc55251_2
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+  - libraft-headers=23.08.00=cuda11_230809_ge588d7b5_0
+  - libraft-headers-only=23.08.00=cuda11_230809_ge588d7b5_0
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+  - ruamel.yaml=0.17.32=py310h2372a71_0
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+  - toolz=0.12.0=pyhd8ed1ab_0
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+  - ucx-py=0.33.00=py310_230809_gea1eb8f_0
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+  - xorg-libxrender=0.9.11=hd590300_0
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+  - xorg-renderproto=0.11.1=h7f98852_1002
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+  - xyzservices=2023.10.1=pyhd8ed1ab_0
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+  - zstd=1.5.5=hfc55251_0
+  - pip:
+      - absl-py==1.4.0
+      - accelerate==0.25.0
+      - access==1.1.9
+      - affine==2.4.0
+      - aiobotocore==2.9.0
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+      - aioitertools==0.11.0
+      - aiorwlock==1.3.0
+      - albumentations==1.3.1
+      - alembic==1.13.1
+      - altair==5.2.0
+      - annoy==1.17.3
+      - ansiwrap==0.8.4
+      - apache-beam==2.46.0
+      - aplus==0.11.0
+      - appdirs==1.4.4
+      - argon2-cffi==23.1.0
+      - array-record==0.4.1
+      - arviz==0.12.1
+      - astroid==3.0.2
+      - astropy==6.0.0
+      - astropy-iers-data==0.2024.1.8.0.30.55
+      - astunparse==1.6.3
+      - audioread==3.0.1
+      - autopep8==2.0.4
+      - backoff==2.2.1
+      - bayesian-optimization==1.4.3
+      - bayespy==0.5.26
+      - beatrix-jupyterlab==2023.814.150030
+      - bidict==0.22.1
+      - biopython==1.82
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+      - blessed==1.20.0
+      - blinker==1.7.0
+      - blosc2==2.4.0
+      - boruta==0.3
+      - boto3==1.26.100
+      - botocore==1.33.13
+      - bqplot==0.12.42
+      - branca==0.7.0
+      - brewer2mpl==1.4.1
+      - cachetools==4.2.4
+      - catalyst==22.4
+      - catboost==1.2.2
+      - category-encoders==2.6.3
+      - cesium==0.12.1
+      - cftime==1.6.3
+      - chex==0.1.85
+      - cleverhans==4.0.0
+      - click-plugins==1.1.1
+      - cligj==0.7.2
+      - cloud-tpu-client==0.10
+      - cloud-tpu-profiler==2.4.0
+      - cloudpickle==2.2.1
+      - cmdstanpy==1.2.0
+      - cmudict==1.0.16
+      - colorcet==3.0.1
+      - colorful==0.5.5
+      - colorlog==6.8.0
+      - colorlover==0.3.0
+      - conda-content-trust==0+unknown
+      - contextily==1.5.0
+      - contourpy==1.1.0
+      - convertdate==2.4.0
+      - crcmod==1.7
+      - cubinlinker-cu11==0.3.0.post1
+      - cufflinks==0.17.3
+      - cvxcanon==0.1.2
+      - cycler==0.11.0
+      - cysignals==1.11.4
+      - cython==3.0.0
+      - daal==2024.0.1
+      - daal4py==2024.0.1
+      - dacite==1.8.1
+      - dask==2023.12.1
+      - dataclasses-json==0.6.3
+      - datasets==2.15.0
+      - datashader==0.16.0
+      - datatile==1.0.3
+      - db-dtypes==1.1.1
+      - deap==1.4.1
+      - debugpy==1.6.7.post1
+      - delorean==1.0.0
+      - deprecat==2.1.1
+      - deprecated==1.2.14
+      - deprecation==2.1.0
+      - descartes==1.1.0
+      - dill==0.3.7
+      - dipy==1.7.0
+      - distlib==0.3.7
+      - distributed==2023.12.1
+      - dm-tree==0.1.8
+      - docker==6.1.3
+      - docker-pycreds==0.4.0
+      - docopt==0.6.2
+      - docstring-parser==0.15
+      - docstring-to-markdown==0.13
+      - docutils==0.20.1
+      - earthengine-api==0.1.384
+      - easydict==1.11
+      - easyocr==1.7.1
+      - ecos==2.0.12
+      - einops==0.8.0
+      - eli5==0.13.0
+      - emoji==2.9.0
+      - en-core-web-lg==3.7.1
+      - en-core-web-sm==3.7.1
+      - ephem==4.1.5
+      - esda==2.5.1
+      - essentia==2.1b6.dev1110
+      - et-xmlfile==1.1.0
+      - etils==1.4.1
+      - explainable-ai-sdk==1.3.3
+      - farama-notifications==0.0.4
+      - fastai==2.7.13
+      - fastapi==0.101.1
+      - fastavro==1.8.2
+      - fastcore==1.5.29
+      - fastdownload==0.0.7
+      - fasteners==0.18
+      - fastprogress==1.0.3
+      - fasttext==0.9.2
+      - fbpca==1.0
+      - feather-format==0.4.1
+      - featuretools==1.28.0
+      - filelock==3.12.2
+      - fiona==1.9.5
+      - fitter==1.7.0
+      - flake8==6.1.0
+      - flash-attn==2.4.2
+      - flashtext==2.7
+      - flask==3.0.0
+      - flatbuffers==23.5.26
+      - flax==0.7.5
+      - folium==0.15.1
+      - fonttools==4.42.1
+      - frozendict==2.4.0
+      - fsspec==2023.10.0
+      - funcy==2.0
+      - fury==0.9.0
+      - future==0.18.3
+      - fuzzywuzzy==0.18.0
+      - gast==0.4.0
+      - gatspy==0.3
+      - gcsfs==2023.6.0
+      - gensim==4.3.2
+      - geographiclib==2.0
+      - geohash==1.0
+      - geojson==3.1.0
+      - geopandas==0.14.2
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wandb/run-20240611_210745-7g163gdq/files/config.yaml

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wandb/run-20240611_210745-7g163gdq/files/output.log

@@ -0,0 +1,4 @@
+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`...

wandb/run-20240611_210745-7g163gdq/files/requirements.txt

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wandb/run-20240611_210745-7g163gdq/files/wandb-metadata.json

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