Training in progress, step 500

model.safetensors

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tokenizer.json

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vocab.txt

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wandb/run-20240118_134024-yplhy9pj/files/output.log

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   warnings.warn('Was asked to gather along dimension 0, but all '
 /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
+  warnings.warn('Was asked to gather along dimension 0, but all '

wandb/run-20240118_134024-yplhy9pj/files/wandb-summary.json

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wandb/run-20240118_134024-yplhy9pj/logs/debug.log

@@ -28,3 +28,5 @@ config: {}
 2024-01-18 13:40:54,867 INFO    MainThread:26 [wandb_run.py:_redirect():2178] Redirects installed.
 2024-01-18 13:40:54,868 INFO    MainThread:26 [wandb_init.py:init():847] run started, returning control to user process
 2024-01-18 13:40:54,875 INFO    MainThread:26 [wandb_run.py:_config_callback():1342] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 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+2024-01-18 13:45:00,970 INFO    MainThread:26 [jupyter.py:save_ipynb():373] not saving jupyter notebook
+2024-01-18 13:45:00,970 INFO    MainThread:26 [wandb_init.py:_pause_backend():437] pausing backend

wandb/run-20240118_134516-ic1u1uot/files/conda-environment.yaml

@@ -0,0 +1,1062 @@
+name: base
+channels:
+  - pytorch
+  - file:///tmp/conda
+  - rapidsai
+  - nvidia
+  - conda-forge
+  - defaults
+dependencies:
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+  - _openmp_mutex=4.5=2_gnu
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+  - xyzservices=2023.10.1=pyhd8ed1ab_0
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+      - apache-beam==2.46.0
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+      - astunparse==1.6.3
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+      - dataclasses-json==0.6.3
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+      - dm-tree==0.1.8
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+      - explainable-ai-sdk==1.3.3
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+      - fastai==2.7.13
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+      - gitdb==4.0.10
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+      - google-ai-generativelanguage==0.4.0
+      - google-api-core==2.15.0
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+      - 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
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+      - grpcio-status==1.48.2
+      - gviz-api==1.10.0
+      - gym==0.26.2
+      - gym-notices==0.0.8
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+      - h11==0.14.0
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+      - haversine==2.8.0
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+      - 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
+      - imgaug==0.4.0
+      - 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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+      - ipyvuetify==1.8.10
+      - 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
+      - jaxlib==0.4.21+cuda11.cudnn86
+      - jeepney==0.8.0
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+      - jmespath==1.0.1
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+      - jupyter-server-mathjax==0.2.6
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+      - jupyterlab==4.0.10
+      - jupyterlab-git==0.42.0
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+      - jupyterlab-widgets==3.0.8
+      - jupytext==1.15.0
+      - kaggle==1.6.2
+      - kaggle-environments==1.14.3
+      - kagglehub==0.1.5
+      - keras==2.13.1
+      - keras-core==0.1.7
+      - keras-cv==0.8.1
+      - keras-nlp==0.7.0
+      - keras-tuner==1.3.5
+      - keyring==24.2.0
+      - keyrings-google-artifactregistry-auth==1.1.2
+      - kfp==2.0.1
+      - kfp-pipeline-spec==0.2.2
+      - kfp-server-api==2.0.1
+      - kiwisolver==1.4.4
+      - kmapper==2.0.1
+      - kmodes==0.12.2
+      - 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
+      - learntools==0.3.4
+      - leven==1.0.4
+      - levenshtein==0.23.0
+      - libclang==16.0.6
+      - libpysal==4.9.2
+      - librosa==0.10.1
+      - lightgbm==3.3.2
+      - lightning-utilities==0.10.0
+      - lime==0.2.0.1
+      - line-profiler==4.1.2
+      - linkify-it-py==2.0.2
+      - llvmlite==0.40.1
+      - lml==0.1.0
+      - loguru==0.7.2
+      - lunarcalendar==0.0.9
+      - lxml==5.1.0
+      - lz4==4.3.2
+      - 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
+      - matplotlib-venn==0.11.9
+      - mccabe==0.7.0
+      - mdit-py-plugins==0.4.0
+      - memory-profiler==0.61.0
+      - mercantile==1.2.1
+      - mgwr==2.2.1
+      - missingno==0.5.2
+      - mistune==0.8.4
+      - mizani==0.10.0
+      - ml-dtypes==0.3.2
+      - mlcrate==0.2.0
+      - mlens==0.2.3
+      - mlxtend==0.23.1
+      - mmh3==4.1.0
+      - mne==1.6.0
+      - 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
+      - nbclient==0.5.13
+      - 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
+      - path-py==12.5.0
+      - pathos==0.3.1
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wandb/run-20240118_134516-ic1u1uot/files/config.yaml

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wandb/run-20240118_134516-ic1u1uot/files/output.log

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+You're using a PreTrainedTokenizerFast 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/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
+  warnings.warn('Was asked to gather along dimension 0, but all '
+Checkpoint destination directory /kaggle/working/checkpoint-500 already exists and is non-empty.Saving will proceed but saved results may be invalid.
+/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.

wandb/run-20240118_134516-ic1u1uot/files/requirements.txt

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