Narkantak/TheBloke-Marcoroni-7B-v3-GPTQ-SonakshiV2

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 library_name: peft
 tags:
 - generated_from_trainer
-base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+base_model: TheBloke/Marcoroni-7B-v3-GPTQ
 model-index:
 - name: working
   results: []
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # working
 
-This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
+This model is a fine-tuned version of [TheBloke/Marcoroni-7B-v3-GPTQ](https://huggingface.co/TheBloke/Marcoroni-7B-v3-GPTQ) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5491
+- Loss: 0.4905
 
 ## Model description
 
@@ -36,50 +36,41 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 6
-- eval_batch_size: 6
+- train_batch_size: 5
+- eval_batch_size: 5
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 24
+- total_train_batch_size: 20
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2
-- num_epochs: 30
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.8811        | 0.96  | 12   | 2.3732          |
-| 1.3483        | 2.0   | 25   | 0.7815          |
-| 0.7479        | 2.96  | 37   | 0.6088          |
-| 0.5459        | 4.0   | 50   | 0.5306          |
-| 0.5392        | 4.96  | 62   | 0.5074          |
-| 0.4672        | 6.0   | 75   | 0.4910          |
-| 0.4799        | 6.96  | 87   | 0.4779          |
-| 0.4205        | 8.0   | 100  | 0.4742          |
-| 0.4357        | 8.96  | 112  | 0.4721          |
-| 0.3848        | 10.0  | 125  | 0.4694          |
-| 0.4006        | 10.96 | 137  | 0.4703          |
-| 0.3579        | 12.0  | 150  | 0.4736          |
-| 0.3768        | 12.96 | 162  | 0.4850          |
-| 0.3373        | 14.0  | 175  | 0.4939          |
-| 0.3582        | 14.96 | 187  | 0.4883          |
-| 0.3239        | 16.0  | 200  | 0.4974          |
-| 0.3445        | 16.96 | 212  | 0.5045          |
-| 0.3129        | 18.0  | 225  | 0.5131          |
-| 0.3362        | 18.96 | 237  | 0.5189          |
-| 0.3075        | 20.0  | 250  | 0.5216          |
-| 0.3302        | 20.96 | 262  | 0.5277          |
-| 0.3028        | 22.0  | 275  | 0.5392          |
-| 0.3268        | 22.96 | 287  | 0.5363          |
-| 0.3006        | 24.0  | 300  | 0.5420          |
-| 0.3249        | 24.96 | 312  | 0.5422          |
-| 0.2994        | 26.0  | 325  | 0.5437          |
-| 0.3236        | 26.96 | 337  | 0.5464          |
-| 0.2979        | 28.0  | 350  | 0.5489          |
-| 0.3094        | 28.8  | 360  | 0.5491          |
+| 3.8361        | 0.96  | 6    | 3.0749          |
+| 2.767         | 1.92  | 12   | 2.2702          |
+| 1.9071        | 2.88  | 18   | 1.4673          |
+| 1.0347        | 4.0   | 25   | 0.9469          |
+| 0.8824        | 4.96  | 31   | 0.8052          |
+| 0.758         | 5.92  | 37   | 0.7363          |
+| 0.68          | 6.88  | 43   | 0.6803          |
+| 0.5161        | 8.0   | 50   | 0.6028          |
+| 0.5056        | 8.96  | 56   | 0.5680          |
+| 0.4489        | 9.92  | 62   | 0.5359          |
+| 0.4008        | 10.88 | 68   | 0.5180          |
+| 0.3176        | 12.0  | 75   | 0.5028          |
+| 0.3365        | 12.96 | 81   | 0.4905          |
+| 0.3258        | 13.92 | 87   | 0.5230          |
+| 0.3067        | 14.88 | 93   | 0.4955          |
+| 0.2552        | 16.0  | 100  | 0.4930          |
+| 0.2898        | 16.96 | 106  | 0.4942          |
+| 0.2817        | 17.92 | 112  | 0.4876          |
+| 0.2807        | 18.88 | 118  | 0.4893          |
+| 0.1818        | 19.2  | 120  | 0.4905          |
 
 
 ### Framework versions

adapter_config.json

@@ -1,7 +1,7 @@
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+  "base_model_name_or_path": "TheBloke/Marcoroni-7B-v3-GPTQ",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

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'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': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, '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_8bit', '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}
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wandb/run-20240416_123734-tjzv8r8d/files/conda-environment.yaml

@@ -0,0 +1,1070 @@
+name: base
+channels:
+  - pytorch
+  - file:///tmp/conda
+  - rapidsai
+  - nvidia
+  - conda-forge
+  - defaults
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+      - datasets==2.1.0
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+      - deepdiff==6.7.1
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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
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+      - flashtext==2.7
+      - flask==3.0.2
+      - flatbuffers==23.5.26
+      - flax==0.8.2
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+      - fonttools==4.47.0
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+      - gekko==1.1.1
+      - gensim==4.3.2
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+      - 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
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+      - 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==0.21.4
+      - humanfriendly==10.0
+      - hunspell==0.5.5
+      - husl==4.0.3
+      - hydra-slayer==0.5.0
+      - hyperopt==0.2.7
+      - hypertools==0.8.0
+      - igraph==0.11.4
+      - 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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+      - ipython-genutils==0.2.0
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+      - ipyvuetify==1.9.2
+      - ipywebrtc==0.6.0
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+      - 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
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+      - jupyter-console==6.6.3
+      - jupyter-http-over-ws==0.0.8
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+      - jupyter-server-fileid==0.9.1
+      - jupyter-server-mathjax==0.2.6
+      - jupyter-server-proxy==4.1.0
+      - jupyter-server-ydoc==0.8.0
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+      - 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
+      - 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
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wandb/run-20240416_123734-tjzv8r8d/files/config.yaml

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+  value: /kaggle/working/
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+log_level:
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+  value: warning
+log_on_each_node:
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+  value: true
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+  value: /kaggle/working/runs/Apr16_12-35-15_5c5b94085a8c
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+  value: false
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+  value: 500
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+save_safetensors:
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+  value: true
+save_on_each_node:
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+  value: false
+save_only_model:
+  desc: null
+  value: false
+no_cuda:
+  desc: null
+  value: false
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+  desc: null
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+seed:
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+  value: 42
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+  value: true
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+  value: O1
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+  value: auto
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+  value: false
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+  desc: null
+  value: false
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+  desc: null
+  value: null
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+  value: 0
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+tpu_num_cores:
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+  value: false
+debug:
+  desc: null
+  value: []
+dataloader_drop_last:
+  desc: null
+  value: false
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+  desc: null
+  value: -1
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+  desc: null
+  value: /kaggle/working/
+disable_tqdm:
+  desc: null
+  value: false
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+  desc: null
+  value: true
+label_names:
+  desc: null
+  value: null
+load_best_model_at_end:
+  desc: null
+  value: true
+metric_for_best_model:
+  desc: null
+  value: loss
+greater_is_better:
+  desc: null
+  value: false
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+  desc: null
+  value: false
+fsdp:
+  desc: null
+  value: []
+fsdp_min_num_params:
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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
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+  desc: null
+  value:
+    split_batches: false
+    dispatch_batches: null
+    even_batches: true
+    use_seedable_sampler: true
+deepspeed:
+  desc: null
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+  value: paged_adamw_8bit
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+  value: false
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+  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
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+  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-20240416_123734-tjzv8r8d/files/output.log

@@ -0,0 +1,39 @@
+/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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.

wandb/run-20240416_123734-tjzv8r8d/files/requirements.txt

@@ -0,0 +1,880 @@
+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
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+Janome==0.5.0
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+Send2Trash==1.8.2
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