lierotica_llama2

.gitattributes

@@ -33,3 +33,4 @@ 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
+wandb/run-20240408_203054-ldiuneeg/run-ldiuneeg.wandb filter=lfs diff=lfs merge=lfs -text

README.md

@@ -9,7 +9,6 @@ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
 model-index:
 - name: working
   results: []
-pipeline_tag: text-generation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,14 +35,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 4
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03
-- training_steps: 50
+- training_steps: 17000
 
 ### Training results
 

adapter_config.json

@@ -21,12 +21,12 @@
   "revision": null,
   "target_modules": [
     "q_proj",
-    "down_proj",
-    "k_proj",
-    "o_proj",
+    "up_proj",
     "gate_proj",
+    "o_proj",
+    "down_proj",
     "v_proj",
-    "up_proj"
+    "k_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

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training_args.bin

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wandb/debug.log

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'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
+2024-04-08 20:30:55,013 INFO    MainThread:1139 [wandb_init.py:init():804] starting run threads in backend
+2024-04-08 20:31:25,981 INFO    MainThread:1139 [wandb_run.py:_console_start():2241] atexit reg
+2024-04-08 20:31:25,981 INFO    MainThread:1139 [wandb_run.py:_redirect():2096] redirect: wrap_raw
+2024-04-08 20:31:25,982 INFO    MainThread:1139 [wandb_run.py:_redirect():2161] Wrapping output streams.
+2024-04-08 20:31:25,982 INFO    MainThread:1139 [wandb_run.py:_redirect():2186] Redirects installed.
+2024-04-08 20:31:25,983 INFO    MainThread:1139 [wandb_init.py:init():847] run started, returning control to user process
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'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, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'transformers_version': '4.38.2', 'model_type': 'llama', 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': False, 'bnb_4bit_compute_dtype': 'float16', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'evaluation_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 3e-05, 'weight_decay': 0.001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.1, 'num_train_epochs': 1, 'max_steps': 17000, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.03, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr08_20-30-47_622eb14e717e', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 20, 'save_total_limit': 1, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}

wandb/run-20240408_201757-0wo4cvb8/files/conda-environment.yaml

@@ -0,0 +1,1068 @@
+name: base
+channels:
+  - pytorch
+  - file:///tmp/conda
+  - rapidsai
+  - nvidia
+  - conda-forge
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=conda_forge
+  - _openmp_mutex=4.5=2_gnu
+  - aiohttp=3.9.1=py310h2372a71_0
+  - aiosignal=1.3.1=pyhd8ed1ab_0
+  - annotated-types=0.6.0=pyhd8ed1ab_0
+  - anyio=4.2.0=pyhd8ed1ab_0
+  - archspec=0.2.2=pyhd8ed1ab_0
+  - argon2-cffi=23.1.0=pyhd8ed1ab_0
+  - argon2-cffi-bindings=21.2.0=py310h2372a71_4
+  - arrow=1.3.0=pyhd8ed1ab_0
+  - arrow-cpp=11.0.0=ha770c72_9_cpu
+  - asttokens=2.4.1=pyhd8ed1ab_0
+  - async-timeout=4.0.3=pyhd8ed1ab_0
+  - atk-1.0=2.38.0=hd4edc92_1
+  - attrs=23.2.0=pyh71513ae_0
+  - aws-c-auth=0.6.26=h987a71b_2
+  - aws-c-cal=0.5.21=h48707d8_2
+  - aws-c-common=0.8.14=h0b41bf4_0
+  - aws-c-compression=0.2.16=h03acc5a_5
+  - aws-c-event-stream=0.2.20=h00877a2_4
+  - aws-c-http=0.7.6=hf342b9f_0
+  - aws-c-io=0.13.19=h5b20300_3
+  - aws-c-mqtt=0.8.6=hc4349f7_12
+  - aws-c-s3=0.2.7=h909e904_1
+  - aws-c-sdkutils=0.1.9=h03acc5a_0
+  - aws-checksums=0.1.14=h03acc5a_5
+  - aws-crt-cpp=0.19.8=hf7fbfca_12
+  - aws-sdk-cpp=1.10.57=h17c43bd_8
+  - beautifulsoup4=4.12.2=pyha770c72_0
+  - bleach=6.1.0=pyhd8ed1ab_0
+  - boltons=23.1.1=pyhd8ed1ab_0
+  - brotli=1.0.9=h166bdaf_9
+  - brotli-bin=1.0.9=h166bdaf_9
+  - brotli-python=1.0.9=py310hd8f1fbe_9
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+  - bzip2=1.0.8=h7b6447c_0
+  - c-ares=1.25.0=hd590300_0
+  - ca-certificates=2024.2.2=hbcca054_0
+  - cached-property=1.5.2=hd8ed1ab_1
+  - cached_property=1.5.2=pyha770c72_1
+  - cairo=1.18.0=h3faef2a_0
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+  - catalogue=2.0.10=py310hff52083_0
+  - certifi=2024.2.2=pyhd8ed1ab_0
+  - cffi=1.16.0=py310h2fee648_0
+  - charset-normalizer=3.3.2=pyhd8ed1ab_0
+  - click=8.1.7=unix_pyh707e725_0
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+  - conda=23.7.4=py310hff52083_0
+  - conda-libmamba-solver=23.7.0=pyhd8ed1ab_0
+  - conda-package-handling=2.2.0=pyh38be061_0
+  - conda-package-streaming=0.9.0=pyhd8ed1ab_0
+  - confection=0.1.4=py310h17c5347_0
+  - contourpy=1.2.0=py310hd41b1e2_0
+  - cryptography=41.0.7=py310hb8475ec_1
+  - cuda-cccl=12.4.99=0
+  - cuda-cudart=12.4.99=0
+  - cuda-cudart-dev=12.4.99=0
+  - cuda-nvcc-dev_linux-64=12.1.105=ha770c72_0
+  - cuda-nvcc-impl=12.1.105=hd3aeb46_0
+  - cuda-nvcc-tools=12.1.105=hd3aeb46_0
+  - cuda-nvrtc=12.1.105=hd3aeb46_0
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+  - cuda-python=12.4.0=py310h52dc4f0_0
+  - cuda-version=12.1=h1d6eff3_3
+  - cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
+  - cuml=23.08.00=cuda12_py310_230809_gd7162cdea_0
+  - cupy=13.0.0=py310h7aad9d2_3
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+  - curl=8.6.0=hca28451_0
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+  - cymem=2.0.8=py310hc6cd4ac_1
+  - cython-blis=0.7.10=py310h1f7b6fc_2
+  - cytoolz=0.12.3=py310h2372a71_0
+  - dask-cuda=23.08.00=py310_230809_gefbd6ca_0
+  - dask-cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
+  - debugpy=1.8.0=py310hc6cd4ac_1
+  - decorator=5.1.1=pyhd8ed1ab_0
+  - defusedxml=0.7.1=pyhd8ed1ab_0
+  - distributed=2023.7.1=pyhd8ed1ab_0
+  - distro=1.9.0=pyhd8ed1ab_0
+  - dlenv-tf-2-15-gpu=1.0.20240111=py310ha20f8e0_0
+  - dlpack=0.5=h9c3ff4c_0
+  - entrypoints=0.4=pyhd8ed1ab_0
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+  - fontconfig=2.14.2=h14ed4e7_0
+  - fonts-conda-ecosystem=1=0
+  - fonts-conda-forge=1=0
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+  - gdk-pixbuf=2.42.10=h829c605_5
+  - geos=3.11.1=h27087fc_0
+  - gettext=0.21.1=h27087fc_0
+  - gflags=2.2.2=he1b5a44_1004
+  - ghostscript=10.03.0=h59595ed_0
+  - giflib=5.2.1=h0b41bf4_3
+  - glog=0.6.0=h6f12383_0
+  - gmock=1.14.0=ha770c72_1
+  - gmp=6.3.0=h59595ed_0
+  - google-api-core-grpc=2.11.1=hd8ed1ab_0
+  - google-auth=2.26.1=pyhca7485f_0
+  - google-cloud-core=2.4.1=pyhd8ed1ab_0
+  - google-cloud-datastore=2.19.0=pyhd8ed1ab_0
+  - googleapis-common-protos=1.62.0=pyhd8ed1ab_0
+  - graphite2=1.3.13=h58526e2_1001
+  - graphviz=9.0.0=h78e8752_1
+  - grpc-cpp=1.51.1=h27aab58_3
+  - gtest=1.14.0=h00ab1b0_1
+  - gtk2=2.24.33=h280cfa0_4
+  - gts=0.7.6=h977cf35_4
+  - harfbuzz=8.3.0=h3d44ed6_0
+  - icu=73.2=h59595ed_0
+  - idna=3.6=pyhd8ed1ab_0
+  - imagemagick=7.1.1_29=pl5321hb90aeea_0
+  - importlib_metadata=7.0.1=hd8ed1ab_0
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+  - intel-openmp=2023.1.0=hdb19cb5_46306
+  - ipykernel=6.28.0=pyhd33586a_0
+  - ipython=8.20.0=pyh707e725_0
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+  - libarchive=3.6.2=h039dbb9_1
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+  - libdeflate=1.19=hd590300_0
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+      - apache-beam==2.46.0
+      - aplus==0.11.0
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+      - brewer2mpl==1.4.1
+      - cachetools==4.2.4
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+      - catboost==1.2.3
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+      - datasets==2.16.0
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+      - deepdiff==6.7.1
+      - deprecated==1.2.14
+      - deprecation==2.1.0
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+      - distlib==0.3.8
+      - dm-tree==0.1.8
+      - docker==7.0.0
+      - docker-pycreds==0.4.0
+      - docopt==0.6.2
+      - docstring-parser==0.15
+      - docstring-to-markdown==0.15
+      - docutils==0.20.1
+      - earthengine-api==0.1.394
+      - easydict==1.13
+      - easyocr==1.7.1
+      - ecos==2.0.13
+      - eli5==0.13.0
+      - emoji==2.10.1
+      - 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==1.6.0
+      - explainable-ai-sdk==1.3.3
+      - farama-notifications==0.0.4
+      - fastai==2.7.14
+      - fastapi==0.108.0
+      - fastavro==1.9.3
+      - fastcore==1.5.29
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+      - fastprogress==1.0.3
+      - fasttext==0.9.2
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+      - featuretools==1.30.0
+      - filelock==3.13.1
+      - fiona==1.9.6
+      - fitter==1.7.0
+      - flake8==7.0.0
+      - flashtext==2.7
+      - flask==3.0.2
+      - flatbuffers==23.5.26
+      - flax==0.8.2
+      - folium==0.16.0
+      - fonttools==4.47.0
+      - frozendict==2.4.0
+      - fsspec==2023.10.0
+      - funcy==2.0
+      - fury==0.10.0
+      - future==1.0.0
+      - fuzzywuzzy==0.18.0
+      - gast==0.5.4
+      - gatspy==0.3
+      - gcsfs==2023.12.2.post1
+      - gensim==4.3.2
+      - geographiclib==2.0
+      - geohash==1.0
+      - geojson==3.1.0
+      - geopandas==0.14.3
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+      - geopy==2.4.1
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+      - ggplot==0.11.5
+      - giddy==2.3.5
+      - gitdb==4.0.11
+      - gitpython==3.1.41
+      - google-ai-generativelanguage==0.4.0
+      - google-api-core==2.17.1
+      - google-api-python-client==2.122.0
+      - google-apitools==0.5.31
+      - google-auth-httplib2==0.1.1
+      - google-auth-oauthlib==1.2.0
+      - google-cloud-aiplatform==0.6.0a1
+      - google-cloud-artifact-registry==1.10.0
+      - google-cloud-automl==1.0.1
+      - google-cloud-bigquery==2.34.4
+      - google-cloud-bigtable==1.7.3
+      - google-cloud-dlp==3.14.0
+      - google-cloud-jupyter-config==0.0.5
+      - google-cloud-language==2.13.3
+      - google-cloud-monitoring==2.18.0
+      - google-cloud-pubsub==2.19.0
+      - google-cloud-pubsublite==1.9.0
+      - google-cloud-recommendations-ai==0.7.1
+      - google-cloud-resource-manager==1.11.0
+      - google-cloud-spanner==3.40.1
+      - google-cloud-storage==1.44.0
+      - google-cloud-translate==3.12.1
+      - google-cloud-videointelligence==2.13.3
+      - google-cloud-vision==2.8.0
+      - google-crc32c==1.5.0
+      - google-generativeai==0.4.1
+      - google-pasta==0.2.0
+      - google-resumable-media==2.7.0
+      - gplearn==0.4.2
+      - gpustat==1.0.0
+      - gpxpy==1.6.2
+      - greenlet==3.0.3
+      - grpc-google-iam-v1==0.12.7
+      - grpcio==1.60.0
+      - grpcio-status==1.48.2
+      - gviz-api==1.10.0
+      - gym==0.26.2
+      - gym-notices==0.0.8
+      - gymnasium==0.29.0
+      - h11==0.14.0
+      - h2o==3.46.0.1
+      - h5netcdf==1.3.0
+      - h5py==3.10.0
+      - haversine==2.8.1
+      - hdfs==2.7.3
+      - hep-ml==0.7.2
+      - hijri-converter==2.3.1
+      - hmmlearn==0.3.2
+      - holidays==0.24
+      - holoviews==1.18.3
+      - hpsklearn==0.1.0
+      - html5lib==1.1
+      - htmlmin==0.1.12
+      - httpcore==1.0.4
+      - httplib2==0.21.0
+      - httptools==0.6.1
+      - httpx==0.27.0
+      - huggingface-hub==0.22.2
+      - hunspell==0.5.5
+      - husl==4.0.3
+      - hydra-slayer==0.5.0
+      - hyperopt==0.2.7
+      - hypertools==0.8.0
+      - igraph==0.11.4
+      - imagecodecs==2024.1.1
+      - imagehash==4.3.1
+      - imageio==2.33.1
+      - imbalanced-learn==0.12.0
+      - imgaug==0.4.0
+      - importlib-metadata==6.11.0
+      - inequality==1.0.1
+      - iniconfig==2.0.0
+      - ipydatawidgets==4.3.5
+      - ipyleaflet==0.18.2
+      - ipympl==0.7.0
+      - ipython-genutils==0.2.0
+      - ipython-sql==0.5.0
+      - ipyvolume==0.6.3
+      - ipyvue==1.10.2
+      - ipyvuetify==1.9.2
+      - 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==0.4.23
+      - jax-jumpy==1.0.0
+      - jaxlib==0.4.23.dev20240116
+      - jeepney==0.8.0
+      - jieba==0.42.1
+      - jmespath==1.0.1
+      - json5==0.9.14
+      - jupyter-client==7.4.9
+      - jupyter-console==6.6.3
+      - jupyter-http-over-ws==0.0.8
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+      - jupyter-server==2.13.0
+      - jupyter-server-fileid==0.9.1
+      - jupyter-server-mathjax==0.2.6
+      - jupyter-server-proxy==4.1.0
+      - jupyter-server-ydoc==0.8.0
+      - jupyter-ydoc==0.2.5
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+    llm_int8_enable_fp32_cpu_offload: false
+    llm_int8_has_fp16_weight: false
+    bnb_4bit_quant_type: nf4
+    bnb_4bit_use_double_quant: false
+    bnb_4bit_compute_dtype: float16
+    load_in_4bit: true
+    load_in_8bit: false
+output_dir:
+  desc: null
+  value: /kaggle/working/
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+  value: 5.0e-05
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+  value: 0.9
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+  value: 0.999
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+  value: 1.0e-08
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+  value: 17000
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+  value: 0.03
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+  value: true
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+  value: /kaggle/working/runs/Apr08_20-13-31_622eb14e717e
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+  value: false
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+  value: 20
+logging_nan_inf_filter:
+  desc: null
+  value: true
+save_strategy:
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+  value: steps
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+  value: 20
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+save_safetensors:
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+  value: true
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+  desc: null
+  value: false
+no_cuda:
+  desc: null
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+use_cpu:
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+seed:
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+  value: false
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+  value: O1
+half_precision_backend:
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+  value: auto
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+  value: false
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+  value: 0
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+  value: null
+tpu_num_cores:
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+  value: -1
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+  value: /kaggle/working/
+disable_tqdm:
+  desc: null
+  value: false
+remove_unused_columns:
+  desc: null
+  value: true
+label_names:
+  desc: null
+  value: null
+load_best_model_at_end:
+  desc: null
+  value: false
+metric_for_best_model:
+  desc: null
+  value: null
+greater_is_better:
+  desc: null
+  value: null
+ignore_data_skip:
+  desc: null
+  value: false
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+  desc: null
+  value: []
+fsdp_min_num_params:
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+  value: 0
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+  desc: null
+  value:
+    min_num_params: 0
+    xla: false
+    xla_fsdp_v2: false
+    xla_fsdp_grad_ckpt: false
+fsdp_transformer_layer_cls_to_wrap:
+  desc: null
+  value: null
+accelerator_config:
+  desc: null
+  value:
+    split_batches: false
+    dispatch_batches: null
+    even_batches: true
+    use_seedable_sampler: true
+deepspeed:
+  desc: null
+  value: null
+label_smoothing_factor:
+  desc: null
+  value: 0.0
+optim:
+  desc: null
+  value: paged_adamw_32bit
+optim_args:
+  desc: null
+  value: null
+adafactor:
+  desc: null
+  value: false
+group_by_length:
+  desc: null
+  value: false
+length_column_name:
+  desc: null
+  value: length
+report_to:
+  desc: null
+  value:
+  - tensorboard
+  - wandb
+ddp_find_unused_parameters:
+  desc: null
+  value: null
+ddp_bucket_cap_mb:
+  desc: null
+  value: null
+ddp_broadcast_buffers:
+  desc: null
+  value: null
+dataloader_pin_memory:
+  desc: null
+  value: true
+dataloader_persistent_workers:
+  desc: null
+  value: false
+skip_memory_metrics:
+  desc: null
+  value: true
+use_legacy_prediction_loop:
+  desc: null
+  value: false
+push_to_hub:
+  desc: null
+  value: false
+resume_from_checkpoint:
+  desc: null
+  value: null
+hub_model_id:
+  desc: null
+  value: null
+hub_strategy:
+  desc: null
+  value: every_save
+hub_token:
+  desc: null
+  value: <HUB_TOKEN>
+hub_private_repo:
+  desc: null
+  value: false
+hub_always_push:
+  desc: null
+  value: false
+gradient_checkpointing:
+  desc: null
+  value: false
+gradient_checkpointing_kwargs:
+  desc: null
+  value: null
+include_inputs_for_metrics:
+  desc: null
+  value: false
+fp16_backend:
+  desc: null
+  value: auto
+push_to_hub_model_id:
+  desc: null
+  value: null
+push_to_hub_organization:
+  desc: null
+  value: null
+push_to_hub_token:
+  desc: null
+  value: <PUSH_TO_HUB_TOKEN>
+mp_parameters:
+  desc: null
+  value: ''
+auto_find_batch_size:
+  desc: null
+  value: false
+full_determinism:
+  desc: null
+  value: false
+torchdynamo:
+  desc: null
+  value: null
+ray_scope:
+  desc: null
+  value: last
+ddp_timeout:
+  desc: null
+  value: 1800
+torch_compile:
+  desc: null
+  value: false
+torch_compile_backend:
+  desc: null
+  value: null
+torch_compile_mode:
+  desc: null
+  value: null
+dispatch_batches:
+  desc: null
+  value: null
+split_batches:
+  desc: null
+  value: null
+include_tokens_per_second:
+  desc: null
+  value: false
+include_num_input_tokens_seen:
+  desc: null
+  value: false
+neftune_noise_alpha:
+  desc: null
+  value: null

wandb/run-20240408_201757-0wo4cvb8/files/output.log

@@ -0,0 +1,60 @@
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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-20240408_201757-0wo4cvb8/files/requirements.txt

@@ -0,0 +1,879 @@
+==
+Babel==2.14.0
+Boruta==0.3
+Brotli==1.0.9
+CVXcanon==0.1.2
+Cartopy==0.22.0
+Cython==3.0.8
+Deprecated==1.2.14
+Farama-Notifications==0.0.4
+Flask==3.0.2
+Geohash==1.0
+GitPython==3.1.41
+ImageHash==4.3.1
+Janome==0.5.0
+Jinja2==3.1.2
+Levenshtein==0.25.0
+LunarCalendar==0.0.9
+Mako==1.3.2
+Markdown==3.5.2
+MarkupSafe==2.1.3
+MarkupSafe==2.1.5
+Pillow==9.5.0
+PuLP==2.8.0
+PyArabic==0.6.15
+PyAstronomy==0.21.0
+PyJWT==2.8.0
+PyMeeus==0.5.12
+PySocks==1.7.1
+PyUpSet==0.1.1.post7
+PyWavelets==1.5.0
+PyYAML==6.0.1
+Pygments==2.17.2
+Pympler==1.0.1
+QtPy==2.4.1
+Rtree==1.2.0
+SQLAlchemy==2.0.25
+SecretStorage==3.3.3
+Send2Trash==1.8.2
+Shapely==1.8.5.post1
+Shimmy==1.3.0
+SimpleITK==2.3.1
+TPOT==0.12.1
+Theano-PyMC==1.1.2
+Theano==1.0.5
+Unidecode==1.3.8
+Wand==0.6.13
+Werkzeug==3.0.1
+absl-py==1.4.0
+accelerate==0.28.0
+access==1.1.9
+affine==2.4.0
+aiobotocore==2.12.1
+aiofiles==22.1.0
+aiohttp-cors==0.7.0
+aiohttp==3.9.1
+aioitertools==0.11.0
+aiorwlock==1.3.0
+aiosignal==1.3.1
+aiosqlite==0.19.0
+albumentations==1.4.0
+alembic==1.13.1
+altair==5.2.0
+annotated-types==0.6.0
+annoy==1.17.3
+anyio==4.2.0
+apache-beam==2.46.0
+aplus==0.11.0
+appdirs==1.4.4
+archspec==0.2.2
+argon2-cffi-bindings==21.2.0
+argon2-cffi==23.1.0
+array-record==0.5.0
+arrow==1.3.0
+arviz==0.17.1
+astroid==3.0.3
+astropy-iers-data==0.2024.3.18.0.29.47
+astropy==6.0.0
+asttokens==2.4.1
+astunparse==1.6.3
+async-lru==2.0.4
+async-timeout==4.0.3
+attrs==23.2.0
+audioread==3.0.1
+autopep8==2.0.4
+backoff==2.2.1
+bayesian-optimization==1.4.3
+beatrix_jupyterlab==2023.128.151533
+beautifulsoup4==4.12.2
+bidict==0.23.1
+bitsandbytes==0.43.0
+blake3==0.2.1
+bleach==6.1.0
+blessed==1.20.0
+blinker==1.7.0
+blis==0.7.10
+blosc2==2.5.1
+bokeh==3.3.4
+boltons==23.1.1
+boto3==1.26.100
+botocore==1.34.51
+bq_helper==0.4.1
+bqplot==0.12.43
+branca==0.7.1
+brewer2mpl==1.4.1
+brotlipy==0.7.0
+cached-property==1.5.2
+cachetools==4.2.4
+cachetools==5.3.2
+catalogue==2.0.10
+catalyst==22.4
+catboost==1.2.3
+category-encoders==2.6.3
+certifi==2024.2.2
+cesium==0.12.1
+cffi==1.16.0
+charset-normalizer==3.3.2
+chex==0.1.85
+cleverhans==4.0.0
+click-plugins==1.1.1
+click==8.1.7
+cligj==0.7.2
+cloud-tpu-client==0.10
+cloud-tpu-profiler==2.4.0
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+2024-04-08 20:26:06,019 INFO    SenderThread:149 [dir_watcher.py:finish():388] scan: /kaggle/working/wandb/run-20240408_201757-0wo4cvb8/files
+2024-04-08 20:26:06,019 INFO    SenderThread:149 [dir_watcher.py:finish():402] scan save: /kaggle/working/wandb/run-20240408_201757-0wo4cvb8/files/conda-environment.yaml conda-environment.yaml
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+2024-04-08 20:26:06,237 INFO    wandb-upload_2:149 [upload_job.py:push():131] Uploaded file /kaggle/working/wandb/run-20240408_201757-0wo4cvb8/files/config.yaml
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+2024-04-08 20:26:06,559 INFO    SenderThread:149 [file_stream.py:finish():595] file stream finish called
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+2024-04-08 20:26:06,657 DEBUG   HandlerThread:149 [handler.py:handle_request():146] handle_request: shutdown
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+2024-04-08 20:26:07,646 INFO    WriterThread:149 [datastore.py:close():296] close: /kaggle/working/wandb/run-20240408_201757-0wo4cvb8/run-0wo4cvb8.wandb
+2024-04-08 20:26:07,656 INFO    SenderThread:149 [sender.py:finish():1521] shutting down sender
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+2024-04-08 20:26:07,656 INFO    SenderThread:149 [file_pusher.py:join():178] waiting for file pusher

wandb/run-20240408_201757-0wo4cvb8/logs/debug.log

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+2024-04-08 20:17:57,308 INFO    MainThread:103 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
+2024-04-08 20:17:57,308 INFO    MainThread:103 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
+2024-04-08 20:17:57,308 INFO    MainThread:103 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
+2024-04-08 20:17:57,308 INFO    MainThread:103 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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wandb/run-20240408_202622-e7ipds5r/files/conda-environment.yaml

@@ -0,0 +1,1068 @@
+name: base
+channels:
+  - pytorch
+  - file:///tmp/conda
+  - rapidsai
+  - nvidia
+  - conda-forge
+  - defaults
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+      - aplus==0.11.0
+      - appdirs==1.4.4
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+      - cleverhans==4.0.0
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+      - cloudpickle==2.2.1
+      - cmdstanpy==1.2.1
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+      - contextily==1.5.2
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+      - cufflinks==0.17.3
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+      - dask-expr==1.0.4
+      - dataclasses-json==0.6.4
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+      - datasets==2.16.0
+      - datashader==0.16.0
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+      - deepdiff==6.7.1
+      - deprecated==1.2.14
+      - deprecation==2.1.0
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+      - distlib==0.3.8
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+      - docker==7.0.0
+      - docker-pycreds==0.4.0
+      - docopt==0.6.2
+      - docstring-parser==0.15
+      - docstring-to-markdown==0.15
+      - docutils==0.20.1
+      - earthengine-api==0.1.394
+      - easydict==1.13
+      - easyocr==1.7.1
+      - ecos==2.0.13
+      - eli5==0.13.0
+      - emoji==2.10.1
+      - 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==1.6.0
+      - explainable-ai-sdk==1.3.3
+      - farama-notifications==0.0.4
+      - fastai==2.7.14
+      - fastapi==0.108.0
+      - fastavro==1.9.3
+      - fastcore==1.5.29
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+      - fasttext==0.9.2
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+      - featuretools==1.30.0
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+      - flake8==7.0.0
+      - flashtext==2.7
+      - flask==3.0.2
+      - flatbuffers==23.5.26
+      - flax==0.8.2
+      - folium==0.16.0
+      - fonttools==4.47.0
+      - frozendict==2.4.0
+      - fsspec==2023.10.0
+      - funcy==2.0
+      - fury==0.10.0
+      - future==1.0.0
+      - fuzzywuzzy==0.18.0
+      - gast==0.5.4
+      - gatspy==0.3
+      - gcsfs==2023.12.2.post1
+      - gensim==4.3.2
+      - geographiclib==2.0
+      - geohash==1.0
+      - geojson==3.1.0
+      - geopandas==0.14.3
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+      - geopy==2.4.1
+      - geoviews==1.11.1
+      - ggplot==0.11.5
+      - giddy==2.3.5
+      - gitdb==4.0.11
+      - gitpython==3.1.41
+      - google-ai-generativelanguage==0.4.0
+      - google-api-core==2.17.1
+      - google-api-python-client==2.122.0
+      - google-apitools==0.5.31
+      - google-auth-httplib2==0.1.1
+      - google-auth-oauthlib==1.2.0
+      - google-cloud-aiplatform==0.6.0a1
+      - google-cloud-artifact-registry==1.10.0
+      - google-cloud-automl==1.0.1
+      - google-cloud-bigquery==2.34.4
+      - google-cloud-bigtable==1.7.3
+      - google-cloud-dlp==3.14.0
+      - google-cloud-jupyter-config==0.0.5
+      - google-cloud-language==2.13.3
+      - google-cloud-monitoring==2.18.0
+      - google-cloud-pubsub==2.19.0
+      - google-cloud-pubsublite==1.9.0
+      - google-cloud-recommendations-ai==0.7.1
+      - google-cloud-resource-manager==1.11.0
+      - google-cloud-spanner==3.40.1
+      - google-cloud-storage==1.44.0
+      - google-cloud-translate==3.12.1
+      - google-cloud-videointelligence==2.13.3
+      - google-cloud-vision==2.8.0
+      - google-crc32c==1.5.0
+      - google-generativeai==0.4.1
+      - google-pasta==0.2.0
+      - google-resumable-media==2.7.0
+      - gplearn==0.4.2
+      - gpustat==1.0.0
+      - gpxpy==1.6.2
+      - greenlet==3.0.3
+      - grpc-google-iam-v1==0.12.7
+      - grpcio==1.60.0
+      - grpcio-status==1.48.2
+      - gviz-api==1.10.0
+      - gym==0.26.2
+      - gym-notices==0.0.8
+      - gymnasium==0.29.0
+      - h11==0.14.0
+      - h2o==3.46.0.1
+      - h5netcdf==1.3.0
+      - h5py==3.10.0
+      - haversine==2.8.1
+      - hdfs==2.7.3
+      - hep-ml==0.7.2
+      - hijri-converter==2.3.1
+      - hmmlearn==0.3.2
+      - holidays==0.24
+      - holoviews==1.18.3
+      - hpsklearn==0.1.0
+      - html5lib==1.1
+      - htmlmin==0.1.12
+      - httpcore==1.0.4
+      - httplib2==0.21.0
+      - httptools==0.6.1
+      - httpx==0.27.0
+      - huggingface-hub==0.22.2
+      - hunspell==0.5.5
+      - husl==4.0.3
+      - hydra-slayer==0.5.0
+      - hyperopt==0.2.7
+      - hypertools==0.8.0
+      - igraph==0.11.4
+      - imagecodecs==2024.1.1
+      - imagehash==4.3.1
+      - imageio==2.33.1
+      - imbalanced-learn==0.12.0
+      - imgaug==0.4.0
+      - importlib-metadata==6.11.0
+      - inequality==1.0.1
+      - iniconfig==2.0.0
+      - ipydatawidgets==4.3.5
+      - ipyleaflet==0.18.2
+      - ipympl==0.7.0
+      - ipython-genutils==0.2.0
+      - ipython-sql==0.5.0
+      - ipyvolume==0.6.3
+      - ipyvue==1.10.2
+      - ipyvuetify==1.9.2
+      - 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==0.4.23
+      - jax-jumpy==1.0.0
+      - jaxlib==0.4.23.dev20240116
+      - jeepney==0.8.0
+      - jieba==0.42.1
+      - jmespath==1.0.1
+      - json5==0.9.14
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+      - jupyter-console==6.6.3
+      - jupyter-http-over-ws==0.0.8
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+      - jupyter-server==2.13.0
+      - jupyter-server-fileid==0.9.1
+      - jupyter-server-mathjax==0.2.6
+      - jupyter-server-proxy==4.1.0
+      - jupyter-server-ydoc==0.8.0
+      - jupyter-ydoc==0.2.5
+      - jupyterlab==4.1.5
+      - jupyterlab-git==0.44.0
+      - jupyterlab-lsp==5.1.0
+      - jupyterlab-server==2.25.2
+      - jupyterlab-widgets==3.0.9
+      - jupytext==1.16.0
+      - kaggle==1.6.6
+      - kaggle-environments==1.14.3
+      - kagglehub==0.2.0
+      - keras==3.0.5
+      - keras-cv==0.8.2
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wandb/run-20240408_202622-e7ipds5r/files/config.yaml

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wandb/run-20240408_202622-e7ipds5r/files/output.log

@@ -0,0 +1,28 @@
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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 '
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/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-20240408_202622-e7ipds5r/files/requirements.txt

@@ -0,0 +1,879 @@
+==
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+Boruta==0.3
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+CVXcanon==0.1.2
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+Cython==3.0.8
+Deprecated==1.2.14
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wandb/run-20240408_202622-e7ipds5r/files/wandb-metadata.json

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wandb/run-20240408_202622-e7ipds5r/logs/debug.log

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wandb/run-20240408_203054-ldiuneeg/files/conda-environment.yaml

@@ -0,0 +1,1068 @@
+name: base
+channels:
+  - pytorch
+  - file:///tmp/conda
+  - rapidsai
+  - nvidia
+  - conda-forge
+  - defaults
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+      - docopt==0.6.2
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+      - easyocr==1.7.1
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+      - eli5==0.13.0
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+      - en-core-web-lg==3.7.1
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+      - farama-notifications==0.0.4
+      - fastai==2.7.14
+      - fastapi==0.108.0
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+      - gensim==4.3.2
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+      - google-ai-generativelanguage==0.4.0
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+      - google-cloud-artifact-registry==1.10.0
+      - google-cloud-automl==1.0.1
+      - google-cloud-bigquery==2.34.4
+      - google-cloud-bigtable==1.7.3
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+      - google-cloud-language==2.13.3
+      - google-cloud-monitoring==2.18.0
+      - google-cloud-pubsub==2.19.0
+      - google-cloud-pubsublite==1.9.0
+      - google-cloud-recommendations-ai==0.7.1
+      - google-cloud-resource-manager==1.11.0
+      - google-cloud-spanner==3.40.1
+      - google-cloud-storage==1.44.0
+      - google-cloud-translate==3.12.1
+      - google-cloud-videointelligence==2.13.3
+      - google-cloud-vision==2.8.0
+      - google-crc32c==1.5.0
+      - google-generativeai==0.4.1
+      - google-pasta==0.2.0
+      - google-resumable-media==2.7.0
+      - gplearn==0.4.2
+      - gpustat==1.0.0
+      - gpxpy==1.6.2
+      - greenlet==3.0.3
+      - grpc-google-iam-v1==0.12.7
+      - grpcio==1.60.0
+      - grpcio-status==1.48.2
+      - gviz-api==1.10.0
+      - gym==0.26.2
+      - gym-notices==0.0.8
+      - gymnasium==0.29.0
+      - h11==0.14.0
+      - h2o==3.46.0.1
+      - h5netcdf==1.3.0
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+      - hep-ml==0.7.2
+      - hijri-converter==2.3.1
+      - hmmlearn==0.3.2
+      - holidays==0.24
+      - holoviews==1.18.3
+      - hpsklearn==0.1.0
+      - html5lib==1.1
+      - htmlmin==0.1.12
+      - httpcore==1.0.4
+      - httplib2==0.21.0
+      - httptools==0.6.1
+      - httpx==0.27.0
+      - huggingface-hub==0.22.2
+      - hunspell==0.5.5
+      - husl==4.0.3
+      - hydra-slayer==0.5.0
+      - hyperopt==0.2.7
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+      - igraph==0.11.4
+      - imagecodecs==2024.1.1
+      - imagehash==4.3.1
+      - imageio==2.33.1
+      - imbalanced-learn==0.12.0
+      - imgaug==0.4.0
+      - importlib-metadata==6.11.0
+      - inequality==1.0.1
+      - iniconfig==2.0.0
+      - ipydatawidgets==4.3.5
+      - ipyleaflet==0.18.2
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+      - ipyvue==1.10.2
+      - ipyvuetify==1.9.2
+      - ipywebrtc==0.6.0
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+      - itsdangerous==2.1.2
+      - janome==0.5.0
+      - jaraco-classes==3.3.0
+      - jax==0.4.23
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+      - jeepney==0.8.0
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+      - jupyter-server-mathjax==0.2.6
+      - jupyter-server-proxy==4.1.0
+      - jupyter-server-ydoc==0.8.0
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+      - jupyterlab-lsp==5.1.0
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+      - jupyterlab-widgets==3.0.9
+      - jupytext==1.16.0
+      - kaggle==1.6.6
+      - kaggle-environments==1.14.3
+      - kagglehub==0.2.0
+      - keras==3.0.5
+      - keras-cv==0.8.2
+      - keras-nlp==0.8.2
+      - keras-tuner==1.4.6
+      - kernels-mixer==0.0.7
+      - keyring==24.3.0
+      - keyrings-google-artifactregistry-auth==1.1.2
+      - kfp==2.5.0
+      - kfp-pipeline-spec==0.2.2
+      - kfp-server-api==2.0.5
+      - kmapper==2.0.1
+      - kmodes==0.12.2
+      - korean-lunar-calendar==0.3.1
+      - kornia==0.7.2
+      - kornia-rs==0.1.2
+      - 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==0.25.0
+      - libclang==16.0.6
+      - libpysal==4.9.2
+      - librosa==0.10.1
+      - lightgbm==4.2.0
+      - lightning-utilities==0.10.1
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wandb/run-20240408_203054-ldiuneeg/files/config.yaml

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wandb/run-20240408_203054-ldiuneeg/files/requirements.txt

@@ -0,0 +1,879 @@
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wandb/run-20240408_203054-ldiuneeg/run-ldiuneeg.wandb

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