Narkantak/mistral-7b-Q-50OT-Ashu-ft

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 1.7274
+- Loss: 1.0615
 
 ## Model description
 
@@ -36,31 +36,71 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 5
+- eval_batch_size: 5
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 16
+- 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: 10
+- num_epochs: 50
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 4.5901        | 0.92  | 3    | 3.9565          |
-| 4.0371        | 1.85  | 6    | 3.4385          |
-| 3.4669        | 2.77  | 9    | 2.9876          |
-| 2.252         | 4.0   | 13   | 2.5483          |
-| 2.6576        | 4.92  | 16   | 2.2996          |
-| 2.3154        | 5.85  | 19   | 2.0765          |
-| 2.065         | 6.77  | 22   | 1.9107          |
-| 1.4272        | 8.0   | 26   | 1.7737          |
-| 1.807         | 8.92  | 29   | 1.7322          |
-| 1.2589        | 9.23  | 30   | 1.7274          |
+| 2.2856        | 1.0   | 2    | 1.9140          |
+| 2.2072        | 2.0   | 4    | 1.7495          |
+| 1.9669        | 3.0   | 6    | 1.5863          |
+| 1.7392        | 4.0   | 8    | 1.4619          |
+| 1.5773        | 5.0   | 10   | 1.3566          |
+| 1.4356        | 6.0   | 12   | 1.2507          |
+| 1.2947        | 7.0   | 14   | 1.1430          |
+| 1.1322        | 8.0   | 16   | 1.0251          |
+| 0.9668        | 9.0   | 18   | 0.9297          |
+| 0.8458        | 10.0  | 20   | 0.8683          |
+| 0.7633        | 11.0  | 22   | 0.8292          |
+| 0.715         | 12.0  | 24   | 0.8035          |
+| 0.6751        | 13.0  | 26   | 0.7806          |
+| 0.6393        | 14.0  | 28   | 0.7605          |
+| 0.6037        | 15.0  | 30   | 0.7473          |
+| 0.5686        | 16.0  | 32   | 0.7427          |
+| 0.5395        | 17.0  | 34   | 0.7443          |
+| 0.5141        | 18.0  | 36   | 0.7448          |
+| 0.4879        | 19.0  | 38   | 0.7412          |
+| 0.4615        | 20.0  | 40   | 0.7433          |
+| 0.4394        | 21.0  | 42   | 0.7501          |
+| 0.4136        | 22.0  | 44   | 0.7589          |
+| 0.3913        | 23.0  | 46   | 0.7660          |
+| 0.3683        | 24.0  | 48   | 0.7728          |
+| 0.3473        | 25.0  | 50   | 0.7873          |
+| 0.3273        | 26.0  | 52   | 0.8055          |
+| 0.3087        | 27.0  | 54   | 0.8237          |
+| 0.2898        | 28.0  | 56   | 0.8365          |
+| 0.2717        | 29.0  | 58   | 0.8474          |
+| 0.2579        | 30.0  | 60   | 0.8657          |
+| 0.2404        | 31.0  | 62   | 0.8871          |
+| 0.2278        | 32.0  | 64   | 0.9067          |
+| 0.2149        | 33.0  | 66   | 0.9264          |
+| 0.2042        | 34.0  | 68   | 0.9430          |
+| 0.1949        | 35.0  | 70   | 0.9572          |
+| 0.1887        | 36.0  | 72   | 0.9703          |
+| 0.1802        | 37.0  | 74   | 0.9840          |
+| 0.1737        | 38.0  | 76   | 0.9960          |
+| 0.1691        | 39.0  | 78   | 1.0060          |
+| 0.1642        | 40.0  | 80   | 1.0152          |
+| 0.1613        | 41.0  | 82   | 1.0244          |
+| 0.1571        | 42.0  | 84   | 1.0322          |
+| 0.1539        | 43.0  | 86   | 1.0395          |
+| 0.1522        | 44.0  | 88   | 1.0462          |
+| 0.1494        | 45.0  | 90   | 1.0518          |
+| 0.1474        | 46.0  | 92   | 1.0556          |
+| 0.1469        | 47.0  | 94   | 1.0582          |
+| 0.1456        | 48.0  | 96   | 1.0601          |
+| 0.1459        | 49.0  | 98   | 1.0612          |
+| 0.1438        | 50.0  | 100  | 1.0615          |
 
 
 ### Framework versions

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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-20240314_140503-88c6vfns/files/conda-environment.yaml

@@ -0,0 +1,1079 @@
+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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+      - docker==7.0.0
+      - docker-pycreds==0.4.0
+      - docopt==0.6.2
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+      - en-core-web-sm==3.7.1
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+      - farama-notifications==0.0.4
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+      - flask==3.0.2
+      - flatbuffers==23.5.26
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+      - 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==2.118.0
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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==2.13.1
+      - 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==2.13.1
+      - 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
+      - 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==3.44.0.3
+      - 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==0.3.0
+      - 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==0.20.3
+      - humanfriendly==10.0
+      - 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==0.11.4
+      - 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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+      - 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
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+      - jeepney==0.8.0
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+      - json5==0.9.14
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+      - jupyter-http-over-ws==0.0.8
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+      - jupyter-server-mathjax==0.2.6
+      - jupyter-server-proxy==4.1.0
+      - jupyter-server-ydoc==0.8.0
+      - jupyter-ydoc==0.2.5
+      - jupyterlab==4.1.2
+      - jupyterlab-git==0.44.0
+      - jupyterlab-lsp==5.0.3
+      - jupyterlab-server==2.25.2
+      - jupyterlab-widgets==3.0.9
+      - jupytext==1.16.0
+      - kaggle==1.6.6
+      - kaggle-environments==1.14.3
+      - kagglehub==0.1.9
+      - keras==3.0.5
+      - keras-cv==0.8.2
+      - keras-nlp==0.8.1
+      - 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==0.7.1
+      - 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==0.25.0
+      - libclang==16.0.6
+      - libpysal==4.9.2
+      - librosa==0.10.1
+      - lightgbm==4.2.0
+      - lightning-utilities==0.10.1
+      - lime==0.2.0.1
+      - line-profiler==4.1.2
+      - linkify-it-py==2.0.3
+      - llvmlite==0.41.1
+      - lml==0.1.0
+      - loguru==0.7.2
+      - lunarcalendar==0.0.9
+      - lxml==5.1.0
+      - mako==1.3.2
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wandb/run-20240314_140503-88c6vfns/files/config.yaml

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+      version: ExllamaVersion.ONE
+    cache_block_outputs: true
+    modules_in_block_to_quantize: null
+output_dir:
+  desc: null
+  value: /kaggle/working/
+overwrite_output_dir:
+  desc: null
+  value: false
+do_train:
+  desc: null
+  value: false
+do_eval:
+  desc: null
+  value: true
+do_predict:
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+  value: false
+evaluation_strategy:
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+  value: epoch
+prediction_loss_only:
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+  value: false
+per_device_train_batch_size:
+  desc: null
+  value: 5
+per_device_eval_batch_size:
+  desc: null
+  value: 5
+per_gpu_train_batch_size:
+  desc: null
+  value: null
+per_gpu_eval_batch_size:
+  desc: null
+  value: null
+gradient_accumulation_steps:
+  desc: null
+  value: 4
+eval_accumulation_steps:
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+  value: null
+eval_delay:
+  desc: null
+  value: 0
+learning_rate:
+  desc: null
+  value: 0.0002
+weight_decay:
+  desc: null
+  value: 0.01
+adam_beta1:
+  desc: null
+  value: 0.9
+adam_beta2:
+  desc: null
+  value: 0.999
+adam_epsilon:
+  desc: null
+  value: 1.0e-08
+max_grad_norm:
+  desc: null
+  value: 1.0
+num_train_epochs:
+  desc: null
+  value: 50
+max_steps:
+  desc: null
+  value: -1
+lr_scheduler_type:
+  desc: null
+  value: linear
+lr_scheduler_kwargs:
+  desc: null
+  value: {}
+warmup_ratio:
+  desc: null
+  value: 0.0
+warmup_steps:
+  desc: null
+  value: 2
+log_level:
+  desc: null
+  value: passive
+log_level_replica:
+  desc: null
+  value: warning
+log_on_each_node:
+  desc: null
+  value: true
+logging_dir:
+  desc: null
+  value: /kaggle/working/runs/Mar14_14-04-50_0a91acd6c6df
+logging_strategy:
+  desc: null
+  value: epoch
+logging_first_step:
+  desc: null
+  value: false
+logging_steps:
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+  value: 500
+logging_nan_inf_filter:
+  desc: null
+  value: true
+save_strategy:
+  desc: null
+  value: epoch
+save_steps:
+  desc: null
+  value: 500
+save_total_limit:
+  desc: null
+  value: null
+save_safetensors:
+  desc: null
+  value: true
+save_on_each_node:
+  desc: null
+  value: false
+save_only_model:
+  desc: null
+  value: false
+no_cuda:
+  desc: null
+  value: false
+use_cpu:
+  desc: null
+  value: false
+use_mps_device:
+  desc: null
+  value: false
+seed:
+  desc: null
+  value: 42
+data_seed:
+  desc: null
+  value: null
+jit_mode_eval:
+  desc: null
+  value: false
+use_ipex:
+  desc: null
+  value: false
+bf16:
+  desc: null
+  value: false
+fp16:
+  desc: null
+  value: true
+fp16_opt_level:
+  desc: null
+  value: O1
+half_precision_backend:
+  desc: null
+  value: auto
+bf16_full_eval:
+  desc: null
+  value: false
+fp16_full_eval:
+  desc: null
+  value: false
+tf32:
+  desc: null
+  value: null
+local_rank:
+  desc: null
+  value: 0
+ddp_backend:
+  desc: null
+  value: null
+tpu_num_cores:
+  desc: null
+  value: null
+tpu_metrics_debug:
+  desc: null
+  value: false
+debug:
+  desc: null
+  value: []
+dataloader_drop_last:
+  desc: null
+  value: false
+eval_steps:
+  desc: null
+  value: null
+dataloader_num_workers:
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+  value: 0
+dataloader_prefetch_factor:
+  desc: null
+  value: null
+past_index:
+  desc: null
+  value: -1
+run_name:
+  desc: null
+  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: true
+metric_for_best_model:
+  desc: null
+  value: loss
+greater_is_better:
+  desc: null
+  value: false
+ignore_data_skip:
+  desc: null
+  value: false
+fsdp:
+  desc: null
+  value: []
+fsdp_min_num_params:
+  desc: null
+  value: 0
+fsdp_config:
+  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_8bit
+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-20240314_140503-88c6vfns/files/output.log

@@ -0,0 +1,99 @@
+/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.
+  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.
+  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-20240314_140503-88c6vfns/files/requirements.txt

@@ -0,0 +1,858 @@
+absl-py==1.4.0
+accelerate==0.27.2
+access==1.1.9
+affine==2.4.0
+aiobotocore==2.11.2
+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==0.17.0
+astroid==3.0.3
+astropy-iers-data==0.2024.2.19.0.28.47
+astropy==6.0.0
+asttokens==2.4.1
+astunparse==1.6.3
+async-lru==2.0.4
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+attrs==23.2.0
+audioread==3.0.1
+auto-gptq==0.7.1
+autopep8==2.0.4
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+backoff==2.2.1
+bayesian-optimization==1.4.3
+bayespy==0.5.28
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+beautifulsoup4==4.12.2
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+botocore==1.34.34
+bq-helper==0.4.1
+bqplot==0.12.43
+branca==0.7.1
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+brotli==1.0.9
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+catalogue==2.0.10
+catalyst==22.4
+catboost==1.2.2
+category-encoders==2.6.3
+certifi==2024.2.2
+cesium==0.12.1
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+click-plugins==1.1.1
+click==8.1.7
+cligj==0.7.2
+cloud-tpu-client==0.10
+cloud-tpu-profiler==2.4.0
+cloudpathlib==0.16.0
+cloudpickle==2.2.1
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+cmudict==1.0.18
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+colorcet==3.0.1
+coloredlogs==15.0.1
+colorful==0.5.6
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+comm==0.2.1
+conda-libmamba-solver==23.7.0
+conda-package-handling==2.2.0
+conda-package-streaming==0.9.0
+conda==23.7.4
+confection==0.1.4
+contextily==1.5.0
+contourpy==1.2.0
+convertdate==2.4.0
+crcmod==1.7
+cryptography==41.0.7
+cuda-python==12.3.0
+cudf==23.8.0
+cufflinks==0.17.3
+cuml==23.8.0
+cupy==13.0.0
+cvxcanon==0.1.2
+cycler==0.12.1
+cymem==2.0.8
+cysignals==1.11.4
+cython==3.0.8
+cytoolz==0.12.3
+daal4py==2024.1.0
+daal==2024.1.0
+dacite==1.8.1
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+dataproc-jupyter-plugin==0.1.66
+datasets==2.1.0
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+debugpy==1.8.0
+decorator==5.1.1
+deepdiff==6.7.1
+defusedxml==0.7.1
+delorean==1.0.0
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+descartes==1.1.0
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+distributed==2023.7.1
+distro==1.9.0
+dm-tree==0.1.8
+docker-pycreds==0.4.0
+docker==7.0.0
+docopt==0.6.2
+docstring-parser==0.15
+docstring-to-markdown==0.15
+docutils==0.20.1
+earthengine-api==0.1.391
+easydict==1.12
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+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
+entrypoints==0.4
+ephem==4.1.5
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+et-xmlfile==1.1.0
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+exceptiongroup==1.2.0
+executing==2.0.1
+explainable-ai-sdk==1.3.3
+farama-notifications==0.0.4
+fastai==2.7.14
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+fastavro==1.9.3
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+fasteners==0.19
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+fasttext==0.9.2
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+gekko==1.0.7
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+geopandas==0.14.3
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+gitdb==4.0.11
+gitpython==3.1.41
+google-ai-generativelanguage==0.4.0
+google-api-core==2.11.1
+google-api-python-client==2.118.0
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+google-auth-oauthlib==1.2.0
+google-auth==2.26.1
+google-cloud-aiplatform==0.6.0a1
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+google-cloud-bigquery==2.34.4
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+google-cloud-jupyter-config==0.0.5
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+google-cloud-recommendations-ai==0.7.1
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+google-cloud-videointelligence==2.13.1
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+google-crc32c==1.5.0
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+jupyter-server==2.12.5
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+jupyterlab-git==0.44.0
+jupyterlab-lsp==5.0.3
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+jupyterlab-server==2.25.2
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+jupyterlab==4.1.2
+jupytext==1.16.0
+kaggle-environments==1.14.3
+kaggle==1.6.6
+kagglehub==0.1.9
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+keras-nlp==0.8.1
+keras-tuner==1.4.6
+keras==3.0.5
+kernels-mixer==0.0.7
+keyring==24.3.0
+keyrings.google-artifactregistry-auth==1.1.2
+kfp-pipeline-spec==0.2.2
+kfp-server-api==2.0.5
+kfp==2.5.0
+kiwisolver==1.4.5
+kmapper==2.0.1
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+kornia==0.7.1
+kt-legacy==1.0.5
+kubernetes==26.1.0
+langcodes==3.3.0
+langid==1.1.6
+lazy-loader==0.3
+learntools==0.3.4
+leven==1.0.4
+levenshtein==0.25.0
+libclang==16.0.6
+libmambapy==1.5.0
+libpysal==4.9.2
+librosa==0.10.1
+lightgbm==4.2.0
+lightning-utilities==0.10.1
+lime==0.2.0.1
+line-profiler==4.1.2
+linkify-it-py==2.0.3
+llvmlite==0.41.1
+lml==0.1.0
+locket==1.0.0
+loguru==0.7.2
+lunarcalendar==0.0.9
+lxml==5.1.0
+lz4==4.3.3
+mako==1.3.2
+mamba==1.5.0
+mapclassify==2.6.1
+marisa-trie==1.1.0
+markdown-it-py==3.0.0
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+markovify==0.9.4
+markupsafe==2.1.3
+marshmallow==3.20.2
+matplotlib-inline==0.1.6
+matplotlib-venn==0.11.10
+matplotlib==3.7.5
+mccabe==0.7.0
+mdit-py-plugins==0.4.0
+mdurl==0.1.2
+memory-profiler==0.61.0
+menuinst==2.0.1
+mercantile==1.2.1
+mgwr==2.2.1
+missingno==0.5.2
+mistune==0.8.4
+mizani==0.11.0
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+mnist==0.2.2
+mock==5.1.0
+momepy==0.7.0
+more-itertools==10.2.0
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+nb-conda-kernels==2.3.1
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+nbformat==5.9.2
+ndindex==1.8
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+networkx==3.2.1
+nibabel==5.2.0
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+ninja==1.11.1.1
+nltk==3.2.4
+nose==1.3.7
+notebook-executor==0.2
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+notebook==6.5.4
+numba==0.58.1
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+objsize==0.6.1
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+opencensus==0.11.4
+opencv-contrib-python==4.9.0.80
+opencv-python-headless==4.9.0.80
+opencv-python==4.9.0.80
+openpyxl==3.1.2
+openslide-python==1.3.1
+opentelemetry-api==1.22.0
+opentelemetry-exporter-otlp-proto-common==1.22.0
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+opentelemetry-exporter-otlp-proto-http==1.22.0
+opentelemetry-exporter-otlp==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
+optimum==1.17.1
+optuna==3.5.0
+orbax-checkpoint==0.5.3
+ordered-set==4.1.0
+orderedmultidict==1.0.1
+orjson==3.9.10
+ortools==9.4.1874
+osmnx==1.9.1
+overrides==7.4.0
+packaging==21.3
+pandas-datareader==0.10.0
+pandas-profiling==3.6.6
+pandas-summary==0.2.0
+pandas==2.1.4
+pandasql==0.7.3
+pandocfilters==1.5.0
+panel==1.3.8
+papermill==2.5.0
+param==2.0.2
+parso==0.8.3
+partd==1.4.1
+path.py==12.5.0
+path==16.10.0
+pathos==0.3.2
+pathy==0.10.3
+patsy==0.5.6
+pdf2image==1.17.0
+peft==0.9.0
+pettingzoo==1.24.0
+pexpect==4.8.0
+phik==0.12.4
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