Training in progress, epoch 1

config.json

@@ -1,9 +1,11 @@
 {
-  "_name_or_path": "mmukh/SOBertBase",
+  "_name_or_path": "lanwuwei/BERTOverflow_stackoverflow_github",
+  "_num_labels": 51,
   "architectures": [
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+    "BertForSequenceClassification"
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   "attention_probs_dropout_prob": 0.1,
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   "hidden_act": "gelu",
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   "hidden_size": 768,
@@ -28,17 +30,18 @@
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   "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 2048,
-  "model_type": "megatron-bert",
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+  "model_type": "bert",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
+  "output_hidden_states": true,
+  "output_past": true,
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   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
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   "torch_dtype": "float32",
   "transformers_version": "4.38.1",
   "type_vocab_size": 2,
   "use_cache": true,
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+  "vocab_size": 82000
 }

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+
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'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': 'adamw_torch', '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, 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wandb/run-20240306_153450-l1uc7yan/files/conda-environment.yaml

@@ -0,0 +1,1075 @@
+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
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+  - xorg-xproto=7.0.31=h7f98852_1007
+  - xyzservices=2023.10.1=pyhd8ed1ab_0
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+      - google-ai-generativelanguage==0.4.0
+      - google-api-core==2.17.1
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+      - google-cloud-aiplatform==0.6.0a1
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+      - google-cloud-jupyter-config==0.0.5
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+      - google-cloud-monitoring==2.18.0
+      - google-cloud-pubsub==2.19.0
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+      - 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==2.13.1
+      - google-cloud-vision==2.8.0
+      - google-crc32c==1.5.0
+      - google-generativeai==0.3.2
+      - google-pasta==0.2.0
+      - google-resumable-media==2.7.0
+      - 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
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+      - gviz-api==1.10.0
+      - gym==0.26.2
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+      - holoviews==1.18.3
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+      - html5lib==1.1
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+      - huggingface-hub==0.20.3
+      - humanize==4.9.0
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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
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+      - itsdangerous==2.1.2
+      - janome==0.5.0
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+      - kaggle==1.6.6
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+      - keyrings-google-artifactregistry-auth==1.1.2
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+      - kornia==0.7.1
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+      - kubernetes==26.1.0
+      - langid==1.1.6
+      - lazy-loader==0.3
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+      - notebook==6.5.6
+      - notebook-executor==0.2
+      - numba==0.58.1
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+      - nvidia-ml-py==11.495.46
+      - oauth2client==4.1.3
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+      - objsize==0.6.1
+      - odfpy==1.4.1
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+      - opencensus==0.11.4
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+      - opencv-contrib-python==4.9.0.80
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+      - openpyxl==3.1.2
+      - openslide-python==1.3.1
+      - opentelemetry-api==1.22.0
+      - opentelemetry-exporter-otlp==1.22.0
+      - opentelemetry-exporter-otlp-proto-common==1.22.0
+      - opentelemetry-exporter-otlp-proto-grpc==1.22.0
+      - opentelemetry-exporter-otlp-proto-http==1.22.0
+      - opentelemetry-proto==1.22.0
+      - opentelemetry-sdk==1.22.0
+      - opentelemetry-semantic-conventions==0.43b0
+      - opt-einsum==3.3.0
+      - optax==0.1.9
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+      - osmnx==1.9.1
+      - packaging==21.3
+      - pandas==2.1.4
+      - pandas-datareader==0.10.0
+      - pandas-profiling==3.6.6
+      - pandas-summary==0.2.0
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+      - pillow==9.5.0
+      - platformdirs==4.2.0
+      - plotly==5.18.0
+      - plotly-express==0.4.1
+      - plotnine==0.13.0
+      - pointpats==2.4.0
+      - polars==0.20.10
+      - polyglot==16.7.4
+      - pooch==1.8.1
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+      - prettytable==3.9.0
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+      - pydocstyle==6.3.0
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wandb/run-20240306_153450-l1uc7yan/files/output.log

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+Some weights of BertForSequenceClassification were not initialized from the model checkpoint at lanwuwei/BERTOverflow_stackoverflow_github and are newly initialized: ['classifier.bias', 'classifier.weight']
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
+/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.

wandb/run-20240306_153450-l1uc7yan/files/requirements.txt

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