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mohit19906/mistral-7b-Ins-IntentAndEntity
Browse files- README.md +49 -49
- adapter_model.safetensors +1 -1
- runs/Apr13_09-40-43_05fce47c7cf1/events.out.tfevents.1713001249.05fce47c7cf1.34.0 +3 -0
- training_args.bin +1 -1
- wandb/debug-internal.log +0 -0
- wandb/debug.log +36 -36
- wandb/run-20240413_094054-v5dwwo6y/files/conda-environment.yaml +0 -0
- wandb/run-20240413_094054-v5dwwo6y/files/config.yaml +707 -0
- wandb/run-20240413_094054-v5dwwo6y/files/output.log +95 -0
- wandb/run-20240413_094054-v5dwwo6y/files/requirements.txt +867 -0
- wandb/run-20240413_094054-v5dwwo6y/files/wandb-metadata.json +66 -0
- wandb/run-20240413_094054-v5dwwo6y/files/wandb-summary.json +1 -0
- wandb/run-20240413_094054-v5dwwo6y/logs/debug-internal.log +0 -0
- wandb/run-20240413_094054-v5dwwo6y/logs/debug.log +38 -0
- wandb/run-20240413_094054-v5dwwo6y/run-v5dwwo6y.wandb +0 -0
README.md
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.6079
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.3979 | 0.96 | 6 | 3.3561 |
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| 2.837 | 1.92 | 12 | 2.2656 |
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| 1.9777 | 2.88 | 18 | 1.7212 |
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| 1.3641 | 4.0 | 25 | 1.4591 |
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| 1.3384 | 4.96 | 31 | 1.2543 |
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| 1.1314 | 5.92 | 37 | 1.1326 |
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| 0.9904 | 6.88 | 43 | 1.0707 |
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| 0.7908 | 8.0 | 50 | 1.0784 |
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| 0.8779 | 8.96 | 56 | 1.0891 |
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| 0.8415 | 9.92 | 62 | 1.1026 |
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| 0.8044 | 10.88 | 68 | 1.1326 |
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| 0.6611 | 12.0 | 75 | 1.1425 |
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| 0.7385 | 12.96 | 81 | 1.2161 |
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| 0.7071 | 13.92 | 87 | 1.2182 |
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| 0.6841 | 14.88 | 93 | 1.2865 |
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| 0.5671 | 16.0 | 100 | 1.3092 |
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| 0.6442 | 16.96 | 106 | 1.3813 |
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| 0.629 | 17.92 | 112 | 1.3295 |
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| 0.6197 | 18.88 | 118 | 1.4387 |
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| 0.522 | 20.0 | 125 | 1.3785 |
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| 0.6013 | 20.96 | 131 | 1.4355 |
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| 0.5928 | 21.92 | 137 | 1.4321 |
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| 0.5901 | 22.88 | 143 | 1.4711 |
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| 0.5015 | 24.0 | 150 | 1.4916 |
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| 0.5817 | 24.96 | 156 | 1.5001 |
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| 0.578 | 25.92 | 162 | 1.5077 |
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| 0.5758 | 26.88 | 168 | 1.5173 |
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| 0.4914 | 28.0 | 175 | 1.4935 |
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| 0.5732 | 28.96 | 181 | 1.5161 |
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| 0.5715 | 29.92 | 187 | 1.5131 |
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| 0.5696 | 30.88 | 193 | 1.5400 |
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| 0.4861 | 32.0 | 200 | 1.5338 |
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| 0.5666 | 32.96 | 206 | 1.5474 |
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| 0.5643 | 33.92 | 212 | 1.5519 |
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| 0.5643 | 34.88 | 218 | 1.5710 |
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| 0.4819 | 36.0 | 225 | 1.5723 |
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| 0.5607 | 36.96 | 231 | 1.5749 |
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| 0.5609 | 37.92 | 237 | 1.5677 |
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| 0.5598 | 38.88 | 243 | 1.5853 |
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| 0.4793 | 40.0 | 250 | 1.5951 |
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| 0.5587 | 40.96 | 256 | 1.5850 |
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| 0.5577 | 41.92 | 262 | 1.5904 |
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| 0.5568 | 42.88 | 268 | 1.5913 |
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| 0.477 | 44.0 | 275 | 1.5959 |
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| 0.5553 | 44.96 | 281 | 1.6042 |
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| 0.5556 | 45.92 | 287 | 1.6082 |
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| 0.5549 | 46.88 | 293 | 1.6075 |
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| 0.4749 | 48.0 | 300 | 1.6079 |
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### Framework versions
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adapter_model.safetensors
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2024-04-13 09:40:54,410 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.5
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|
33 |
+
2024-04-13 10:52:03,516 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
34 |
+
2024-04-13 10:52:03,517 INFO MainThread:34 [wandb_init.py:_pause_backend():438] pausing backend
|
35 |
+
2024-04-13 10:52:03,523 INFO MainThread:34 [wandb_init.py:_resume_backend():443] resuming backend
|
36 |
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2024-04-13 10:52:03,524 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
37 |
+
2024-04-13 10:52:03,524 INFO MainThread:34 [wandb_init.py:_pause_backend():438] pausing backend
|
38 |
+
2024-04-13 10:52:03,530 INFO MainThread:34 [wandb_init.py:_resume_backend():443] resuming backend
|
wandb/run-20240413_094054-v5dwwo6y/files/conda-environment.yaml
ADDED
File without changes
|
wandb/run-20240413_094054-v5dwwo6y/files/config.yaml
ADDED
@@ -0,0 +1,707 @@
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desc: null
|
653 |
+
value: auto
|
654 |
+
push_to_hub_model_id:
|
655 |
+
desc: null
|
656 |
+
value: null
|
657 |
+
push_to_hub_organization:
|
658 |
+
desc: null
|
659 |
+
value: null
|
660 |
+
push_to_hub_token:
|
661 |
+
desc: null
|
662 |
+
value: <PUSH_TO_HUB_TOKEN>
|
663 |
+
mp_parameters:
|
664 |
+
desc: null
|
665 |
+
value: ''
|
666 |
+
auto_find_batch_size:
|
667 |
+
desc: null
|
668 |
+
value: false
|
669 |
+
full_determinism:
|
670 |
+
desc: null
|
671 |
+
value: false
|
672 |
+
torchdynamo:
|
673 |
+
desc: null
|
674 |
+
value: null
|
675 |
+
ray_scope:
|
676 |
+
desc: null
|
677 |
+
value: last
|
678 |
+
ddp_timeout:
|
679 |
+
desc: null
|
680 |
+
value: 1800
|
681 |
+
torch_compile:
|
682 |
+
desc: null
|
683 |
+
value: false
|
684 |
+
torch_compile_backend:
|
685 |
+
desc: null
|
686 |
+
value: null
|
687 |
+
torch_compile_mode:
|
688 |
+
desc: null
|
689 |
+
value: null
|
690 |
+
dispatch_batches:
|
691 |
+
desc: null
|
692 |
+
value: null
|
693 |
+
split_batches:
|
694 |
+
desc: null
|
695 |
+
value: null
|
696 |
+
include_tokens_per_second:
|
697 |
+
desc: null
|
698 |
+
value: false
|
699 |
+
include_num_input_tokens_seen:
|
700 |
+
desc: null
|
701 |
+
value: false
|
702 |
+
neftune_noise_alpha:
|
703 |
+
desc: null
|
704 |
+
value: null
|
705 |
+
optim_target_modules:
|
706 |
+
desc: null
|
707 |
+
value: null
|
wandb/run-20240413_094054-v5dwwo6y/files/output.log
ADDED
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|
1 |
+
/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.
|
2 |
+
warnings.warn(
|
3 |
+
/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.
|
4 |
+
warnings.warn(
|
5 |
+
/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.
|
6 |
+
warnings.warn(
|
7 |
+
/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.
|
8 |
+
warnings.warn(
|
9 |
+
/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.
|
10 |
+
warnings.warn(
|
11 |
+
/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.
|
12 |
+
warnings.warn(
|
13 |
+
/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.
|
14 |
+
warnings.warn(
|
15 |
+
/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.
|
16 |
+
warnings.warn(
|
17 |
+
/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.
|
18 |
+
warnings.warn(
|
19 |
+
/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.
|
20 |
+
warnings.warn(
|
21 |
+
/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.
|
22 |
+
warnings.warn(
|
23 |
+
/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.
|
24 |
+
warnings.warn(
|
25 |
+
/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.
|
26 |
+
warnings.warn(
|
27 |
+
/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.
|
28 |
+
warnings.warn(
|
29 |
+
/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.
|
30 |
+
warnings.warn(
|
31 |
+
/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.
|
32 |
+
warnings.warn(
|
33 |
+
/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.
|
34 |
+
warnings.warn(
|
35 |
+
/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.
|
36 |
+
warnings.warn(
|
37 |
+
/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.
|
38 |
+
warnings.warn(
|
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.
|
40 |
+
warnings.warn(
|
41 |
+
/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.
|
42 |
+
warnings.warn(
|
43 |
+
/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.
|
44 |
+
warnings.warn(
|
45 |
+
/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.
|
46 |
+
warnings.warn(
|
47 |
+
/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.
|
48 |
+
warnings.warn(
|
49 |
+
/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.
|
50 |
+
warnings.warn(
|
51 |
+
/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.
|
52 |
+
warnings.warn(
|
53 |
+
/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.
|
54 |
+
warnings.warn(
|
55 |
+
/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.
|
56 |
+
warnings.warn(
|
57 |
+
/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.
|
58 |
+
warnings.warn(
|
59 |
+
/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.
|
60 |
+
warnings.warn(
|
61 |
+
/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.
|
62 |
+
warnings.warn(
|
63 |
+
/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.
|
64 |
+
warnings.warn(
|
65 |
+
/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.
|
66 |
+
warnings.warn(
|
67 |
+
/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.
|
68 |
+
warnings.warn(
|
69 |
+
/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.
|
70 |
+
warnings.warn(
|
71 |
+
/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.
|
72 |
+
warnings.warn(
|
73 |
+
/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.
|
74 |
+
warnings.warn(
|
75 |
+
/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.
|
76 |
+
warnings.warn(
|
77 |
+
/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.
|
78 |
+
warnings.warn(
|
79 |
+
/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.
|
80 |
+
warnings.warn(
|
81 |
+
/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.
|
82 |
+
warnings.warn(
|
83 |
+
/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.
|
84 |
+
warnings.warn(
|
85 |
+
/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.
|
86 |
+
warnings.warn(
|
87 |
+
/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.
|
88 |
+
warnings.warn(
|
89 |
+
/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.
|
90 |
+
warnings.warn(
|
91 |
+
/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.
|
92 |
+
warnings.warn(
|
93 |
+
/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.
|
94 |
+
warnings.warn(
|
95 |
+
/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-20240413_094054-v5dwwo6y/files/requirements.txt
ADDED
@@ -0,0 +1,867 @@
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|
1 |
+
Babel==2.14.0
|
2 |
+
Boruta==0.3
|
3 |
+
Brotli==1.0.9
|
4 |
+
CVXcanon==0.1.2
|
5 |
+
Cartopy==0.22.0
|
6 |
+
Cython==3.0.8
|
7 |
+
Deprecated==1.2.14
|
8 |
+
Farama-Notifications==0.0.4
|
9 |
+
Flask==3.0.2
|
10 |
+
Geohash==1.0
|
11 |
+
GitPython==3.1.41
|
12 |
+
ImageHash==4.3.1
|
13 |
+
Janome==0.5.0
|
14 |
+
Jinja2==3.1.2
|
15 |
+
LunarCalendar==0.0.9
|
16 |
+
Mako==1.3.2
|
17 |
+
Markdown==3.5.2
|
18 |
+
MarkupSafe==2.1.3
|
19 |
+
MarkupSafe==2.1.5
|
20 |
+
Pillow==9.5.0
|
21 |
+
PuLP==2.8.0
|
22 |
+
PyArabic==0.6.15
|
23 |
+
PyJWT==2.8.0
|
24 |
+
PyMeeus==0.5.12
|
25 |
+
PySocks==1.7.1
|
26 |
+
PyUpSet==0.1.1.post7
|
27 |
+
PyWavelets==1.5.0
|
28 |
+
PyYAML==6.0.1
|
29 |
+
Pygments==2.17.2
|
30 |
+
Pympler==1.0.1
|
31 |
+
QtPy==2.4.1
|
32 |
+
Rtree==1.2.0
|
33 |
+
SQLAlchemy==2.0.25
|
34 |
+
SecretStorage==3.3.3
|
35 |
+
Send2Trash==1.8.2
|
36 |
+
Shapely==1.8.5.post1
|
37 |
+
Shimmy==1.3.0
|
38 |
+
SimpleITK==2.3.1
|
39 |
+
TPOT==0.12.1
|
40 |
+
Theano-PyMC==1.1.2
|
41 |
+
Theano==1.0.5
|
42 |
+
Wand==0.6.13
|
43 |
+
Werkzeug==3.0.2
|
44 |
+
absl-py==1.4.0
|
45 |
+
accelerate==0.28.0
|
46 |
+
access==1.1.9
|
47 |
+
affine==2.4.0
|
48 |
+
aiobotocore==2.12.2
|
49 |
+
aiofiles==22.1.0
|
50 |
+
aiohttp-cors==0.7.0
|
51 |
+
aiohttp==3.9.1
|
52 |
+
aioitertools==0.11.0
|
53 |
+
aiorwlock==1.3.0
|
54 |
+
aiosignal==1.3.1
|
55 |
+
aiosqlite==0.19.0
|
56 |
+
albumentations==1.4.0
|
57 |
+
alembic==1.13.1
|
58 |
+
altair==5.3.0
|
59 |
+
annotated-types==0.6.0
|
60 |
+
annoy==1.17.3
|
61 |
+
anyio==4.2.0
|
62 |
+
apache-beam==2.46.0
|
63 |
+
aplus==0.11.0
|
64 |
+
appdirs==1.4.4
|
65 |
+
archspec==0.2.3
|
66 |
+
argon2-cffi-bindings==21.2.0
|
67 |
+
argon2-cffi==23.1.0
|
68 |
+
array-record==0.5.0
|
69 |
+
arrow==1.3.0
|
70 |
+
arviz==0.17.1
|
71 |
+
astroid==3.1.0
|
72 |
+
astropy-iers-data==0.2024.4.1.0.33.14
|
73 |
+
astropy==6.0.1
|
74 |
+
asttokens==2.4.1
|
75 |
+
astunparse==1.6.3
|
76 |
+
async-lru==2.0.4
|
77 |
+
async-timeout==4.0.3
|
78 |
+
attrs==23.2.0
|
79 |
+
audioread==3.0.1
|
80 |
+
auto_gptq==0.7.1
|
81 |
+
autopep8==2.0.4
|
82 |
+
backoff==2.2.1
|
83 |
+
bayesian-optimization==1.4.3
|
84 |
+
beatrix_jupyterlab==2023.128.151533
|
85 |
+
beautifulsoup4==4.12.2
|
86 |
+
bitsandbytes==0.43.1
|
87 |
+
blake3==0.2.1
|
88 |
+
bleach==6.1.0
|
89 |
+
blessed==1.20.0
|
90 |
+
blinker==1.7.0
|
91 |
+
blis==0.7.10
|
92 |
+
blosc2==2.6.0
|
93 |
+
bokeh==3.3.4
|
94 |
+
boltons==23.1.1
|
95 |
+
boto3==1.26.100
|
96 |
+
botocore==1.34.51
|
97 |
+
bq_helper==0.4.1
|
98 |
+
bqplot==0.12.43
|
99 |
+
branca==0.7.1
|
100 |
+
brewer2mpl==1.4.1
|
101 |
+
brotlipy==0.7.0
|
102 |
+
cached-property==1.5.2
|
103 |
+
cachetools==4.2.4
|
104 |
+
cachetools==5.3.2
|
105 |
+
catalogue==2.0.10
|
106 |
+
catalyst==22.4
|
107 |
+
catboost==1.2.3
|
108 |
+
category-encoders==2.6.3
|
109 |
+
certifi==2024.2.2
|
110 |
+
cesium==0.12.1
|
111 |
+
cffi==1.16.0
|
112 |
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charset-normalizer==3.3.2
|
113 |
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chex==0.1.86
|
114 |
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cleverhans==4.0.0
|
115 |
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click-plugins==1.1.1
|
116 |
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click==8.1.7
|
117 |
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cligj==0.7.2
|
118 |
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cloud-tpu-client==0.10
|
119 |
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cloud-tpu-profiler==2.4.0
|
120 |
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cloudpathlib==0.16.0
|
121 |
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cloudpickle==2.2.1
|
122 |
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cloudpickle==3.0.0
|
123 |
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cmdstanpy==1.2.2
|
124 |
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colorama==0.4.6
|
125 |
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colorcet==3.1.0
|
126 |
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coloredlogs==15.0.1
|
127 |
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colorful==0.5.6
|
128 |
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colorlog==6.8.2
|
129 |
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colorlover==0.3.0
|
130 |
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comm==0.2.1
|
131 |
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conda-libmamba-solver==23.7.0
|
132 |
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conda-package-handling==2.2.0
|
133 |
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conda==23.7.4
|
134 |
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conda_package_streaming==0.9.0
|
135 |
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confection==0.1.4
|
136 |
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contextily==1.6.0
|
137 |
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contourpy==1.2.0
|
138 |
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convertdate==2.4.0
|
139 |
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crcmod==1.7
|
140 |
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cryptography==41.0.7
|
141 |
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cuda-python==12.4.0
|
142 |
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cudf==23.8.0
|
143 |
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cufflinks==0.17.3
|
144 |
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cuml==23.8.0
|
145 |
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cupy==13.0.0
|
146 |
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cycler==0.12.1
|
147 |
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cymem==2.0.8
|
148 |
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cytoolz==0.12.3
|
149 |
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daal4py==2024.2.0
|
150 |
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daal==2024.2.0
|
151 |
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dacite==1.8.1
|
152 |
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dask-cuda==23.8.0
|
153 |
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dask-cudf==23.8.0
|
154 |
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dask-expr==1.0.9
|
155 |
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dask==2024.4.0
|
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dataclasses-json==0.6.4
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dataproc_jupyter_plugin==0.1.66
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datasets==2.18.0
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datashader==0.16.0
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datatile==1.0.3
|
161 |
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db-dtypes==1.2.0
|
162 |
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deap==1.4.1
|
163 |
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debugpy==1.8.0
|
164 |
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decorator==5.1.1
|
165 |
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deepdiff==6.7.1
|
166 |
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defusedxml==0.7.1
|
167 |
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deprecation==2.1.0
|
168 |
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descartes==1.1.0
|
169 |
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dill==0.3.8
|
170 |
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dipy==1.9.0
|
171 |
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distlib==0.3.8
|
172 |
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distributed==2023.7.1
|
173 |
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distro==1.9.0
|
174 |
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dm-tree==0.1.8
|
175 |
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docker-pycreds==0.4.0
|
176 |
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docker==7.0.0
|
177 |
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docopt==0.6.2
|
178 |
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docstring-parser==0.15
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179 |
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docstring-to-markdown==0.15
|
180 |
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docutils==0.20.1
|
181 |
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earthengine-api==0.1.395
|
182 |
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easydict==1.13
|
183 |
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easyocr==1.7.1
|
184 |
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ecos==2.0.13
|
185 |
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eli5==0.13.0
|
186 |
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emoji==2.11.0
|
187 |
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en-core-web-lg==3.7.1
|
188 |
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en-core-web-sm==3.7.1
|
189 |
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entrypoints==0.4
|
190 |
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ephem==4.1.5
|
191 |
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esda==2.5.1
|
192 |
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essentia==2.1b6.dev1110
|
193 |
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et-xmlfile==1.1.0
|
194 |
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etils==1.6.0
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195 |
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exceptiongroup==1.2.0
|
196 |
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executing==2.0.1
|
197 |
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explainable-ai-sdk==1.3.3
|
198 |
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fastai==2.7.14
|
199 |
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fastapi==0.108.0
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200 |
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fastavro==1.9.3
|
201 |
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fastcore==1.5.29
|
202 |
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fastdownload==0.0.7
|
203 |
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fasteners==0.19
|
204 |
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fastjsonschema==2.19.1
|
205 |
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fastprogress==1.0.3
|
206 |
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fastrlock==0.8.2
|
207 |
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fasttext==0.9.2
|
208 |
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feather-format==0.4.1
|
209 |
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featuretools==1.30.0
|
210 |
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filelock==3.13.1
|
211 |
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fiona==1.9.6
|
212 |
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fitter==1.7.0
|
213 |
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flake8==7.0.0
|
214 |
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flashtext==2.7
|
215 |
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flatbuffers==23.5.26
|
216 |
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flax==0.8.2
|
217 |
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folium==0.16.0
|
218 |
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fonttools==4.47.0
|
219 |
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fonttools==4.50.0
|
220 |
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fqdn==1.5.1
|
221 |
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frozendict==2.4.1
|
222 |
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frozenlist==1.4.1
|
223 |
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fsspec==2024.2.0
|
224 |
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fsspec==2024.3.1
|
225 |
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funcy==2.0
|
226 |
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fury==0.10.0
|
227 |
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future==1.0.0
|
228 |
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fuzzywuzzy==0.18.0
|
229 |
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gast==0.5.4
|
230 |
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gatspy==0.3
|
231 |
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gcsfs==2024.2.0
|
232 |
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gekko==1.1.1
|
233 |
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gensim==4.3.2
|
234 |
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geographiclib==2.0
|
235 |
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geojson==3.1.0
|
236 |
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geopandas==0.14.3
|
237 |
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geoplot==0.5.1
|
238 |
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geopy==2.4.1
|
239 |
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geoviews==1.11.1
|
240 |
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ggplot==0.11.5
|
241 |
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giddy==2.3.5
|
242 |
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gitdb==4.0.11
|
243 |
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google-ai-generativelanguage==0.4.0
|
244 |
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google-api-core==2.11.1
|
245 |
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google-api-core==2.18.0
|
246 |
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google-api-python-client==2.125.0
|
247 |
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google-apitools==0.5.31
|
248 |
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google-auth-httplib2==0.2.0
|
249 |
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google-auth-oauthlib==1.2.0
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250 |
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google-auth==2.26.1
|
251 |
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google-cloud-aiplatform==0.6.0a1
|
252 |
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google-cloud-artifact-registry==1.10.0
|
253 |
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google-cloud-automl==1.0.1
|
254 |
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google-cloud-bigquery==2.34.4
|
255 |
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google-cloud-bigtable==1.7.3
|
256 |
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google-cloud-core==2.4.1
|
257 |
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google-cloud-datastore==2.19.0
|
258 |
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google-cloud-dlp==3.14.0
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259 |
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google-cloud-jupyter-config==0.0.5
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google-cloud-language==2.13.3
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261 |
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google-cloud-monitoring==2.18.0
|
262 |
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google-cloud-pubsub==2.19.0
|
263 |
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google-cloud-pubsublite==1.9.0
|
264 |
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google-cloud-recommendations-ai==0.7.1
|
265 |
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google-cloud-resource-manager==1.11.0
|
266 |
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google-cloud-spanner==3.40.1
|
267 |
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google-cloud-storage==1.44.0
|
268 |
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google-cloud-translate==3.12.1
|
269 |
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google-cloud-videointelligence==2.13.3
|
270 |
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google-cloud-vision==2.8.0
|
271 |
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google-crc32c==1.5.0
|
272 |
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google-generativeai==0.4.1
|
273 |
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google-pasta==0.2.0
|
274 |
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google-resumable-media==2.7.0
|
275 |
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googleapis-common-protos==1.62.0
|
276 |
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gplearn==0.4.2
|
277 |
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gpustat==1.0.0
|
278 |
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gpxpy==1.6.2
|
279 |
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graphviz==0.20.3
|
280 |
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greenlet==3.0.3
|
281 |
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grpc-google-iam-v1==0.12.7
|
282 |
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grpcio-status==1.48.1
|
283 |
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grpcio-status==1.48.2
|
284 |
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grpcio==1.51.1
|
285 |
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grpcio==1.60.0
|
286 |
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gviz-api==1.10.0
|
287 |
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gym-notices==0.0.8
|
288 |
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gym==0.26.2
|
289 |
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gymnasium==0.29.0
|
290 |
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h11==0.14.0
|
291 |
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h2o==3.46.0.1
|
292 |
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h5netcdf==1.3.0
|
293 |
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h5py==3.10.0
|
294 |
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haversine==2.8.1
|
295 |
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hdfs==2.7.3
|
296 |
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hep-ml==0.7.2
|
297 |
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hijri-converter==2.3.1
|
298 |
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hmmlearn==0.3.2
|
299 |
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holidays==0.24
|
300 |
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holoviews==1.18.3
|
301 |
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hpsklearn==0.1.0
|
302 |
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html5lib==1.1
|
303 |
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htmlmin==0.1.12
|
304 |
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httpcore==1.0.5
|
305 |
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httplib2==0.21.0
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306 |
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httptools==0.6.1
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307 |
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httpx==0.27.0
|
308 |
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huggingface-hub==0.22.2
|
309 |
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humanfriendly==10.0
|
310 |
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hunspell==0.5.5
|
311 |
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hydra-slayer==0.5.0
|
312 |
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hyperopt==0.2.7
|
313 |
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hypertools==0.8.0
|
314 |
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idna==3.6
|
315 |
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igraph==0.11.4
|
316 |
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imagecodecs==2024.1.1
|
317 |
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imageio==2.33.1
|
318 |
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imbalanced-learn==0.12.2
|
319 |
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imgaug==0.4.0
|
320 |
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importlib-metadata==6.11.0
|
321 |
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importlib-metadata==7.0.1
|
322 |
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importlib-resources==6.1.1
|
323 |
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inequality==1.0.1
|
324 |
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iniconfig==2.0.0
|
325 |
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ipydatawidgets==4.3.5
|
326 |
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ipykernel==6.28.0
|
327 |
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ipyleaflet==0.18.2
|
328 |
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ipympl==0.7.0
|
329 |
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ipython-genutils==0.2.0
|
330 |
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ipython-genutils==0.2.0
|
331 |
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ipython-sql==0.5.0
|
332 |
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ipython==8.20.0
|
333 |
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ipyvolume==0.6.3
|
334 |
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ipyvue==1.10.2
|
335 |
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ipyvuetify==1.9.3
|
336 |
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ipywebrtc==0.6.0
|
337 |
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ipywidgets==7.7.1
|
338 |
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isoduration==20.11.0
|
339 |
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isort==5.13.2
|
340 |
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isoweek==1.3.3
|
341 |
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itsdangerous==2.1.2
|
342 |
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jaraco.classes==3.3.0
|
343 |
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jax-jumpy==1.0.0
|
344 |
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jax==0.4.23
|
345 |
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jaxlib==0.4.23.dev20240116
|
346 |
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jedi==0.19.1
|
347 |
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jeepney==0.8.0
|
348 |
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jieba==0.42.1
|
349 |
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jmespath==1.0.1
|
350 |
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joblib==1.3.2
|
351 |
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json5==0.9.14
|
352 |
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jsonpatch==1.33
|
353 |
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jsonpointer==2.4
|
354 |
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jsonschema-specifications==2023.12.1
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355 |
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jsonschema==4.20.0
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356 |
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jupyter-console==6.6.3
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jupyter-events==0.9.0
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jupyter-http-over-ws==0.0.8
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jupyter-lsp==1.5.1
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jupyter-server-mathjax==0.2.6
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jupyter-ydoc==0.2.5
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362 |
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jupyter_client==7.4.9
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jupyter_client==8.6.0
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364 |
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jupyter_core==5.7.1
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365 |
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jupyter_server==2.13.0
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366 |
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jupyter_server_fileid==0.9.1
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jupyter_server_proxy==4.1.0
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368 |
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jupyter_server_terminals==0.5.1
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369 |
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jupyter_server_ydoc==0.8.0
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370 |
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jupyterlab-lsp==5.1.0
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371 |
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jupyterlab-widgets==3.0.9
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372 |
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jupyterlab==4.1.5
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jupyterlab_git==0.44.0
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jupyterlab_pygments==0.3.0
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jupyterlab_server==2.25.2
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jupytext==1.16.0
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377 |
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kaggle-environments==1.14.3
|
378 |
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kaggle==1.6.8
|
379 |
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kagglehub==0.2.2
|
380 |
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keras-cv==0.8.2
|
381 |
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keras-nlp==0.8.2
|
382 |
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keras-tuner==1.4.6
|
383 |
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keras==3.1.1
|
384 |
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kernels-mixer==0.0.7
|
385 |
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keyring==24.3.0
|
386 |
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keyrings.google-artifactregistry-auth==1.1.2
|
387 |
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kfp-pipeline-spec==0.2.2
|
388 |
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kfp-server-api==2.0.5
|
389 |
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kfp==2.5.0
|
390 |
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kiwisolver==1.4.5
|
391 |
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kmapper==2.0.1
|
392 |
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kmodes==0.12.2
|
393 |
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korean-lunar-calendar==0.3.1
|
394 |
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kornia==0.7.2
|
395 |
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kornia_rs==0.1.3
|
396 |
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kt-legacy==1.0.5
|
397 |
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kubernetes==26.1.0
|
398 |
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langcodes==3.3.0
|
399 |
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langid==1.1.6
|
400 |
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lazy_loader==0.3
|
401 |
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learntools==0.3.4
|
402 |
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leven==1.0.4
|
403 |
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libclang==16.0.6
|
404 |
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libmambapy==1.5.0
|
405 |
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libpysal==4.9.2
|
406 |
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librosa==0.10.1
|
407 |
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lightgbm==4.2.0
|
408 |
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lightning-utilities==0.11.2
|
409 |
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lime==0.2.0.1
|
410 |
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line-profiler==4.1.2
|
411 |
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linkify-it-py==2.0.3
|
412 |
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llvmlite==0.41.1
|
413 |
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llvmlite==0.42.0
|
414 |
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lml==0.1.0
|
415 |
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locket==1.0.0
|
416 |
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loguru==0.7.2
|
417 |
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lxml==5.2.1
|
418 |
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lz4==4.3.3
|
419 |
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mamba==1.5.0
|
420 |
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mapclassify==2.6.1
|
421 |
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markdown-it-py==3.0.0
|
422 |
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marshmallow==3.21.1
|
423 |
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matplotlib-inline==0.1.6
|
424 |
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matplotlib-venn==0.11.10
|
425 |
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matplotlib==3.7.5
|
426 |
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matplotlib==3.8.3
|
427 |
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mccabe==0.7.0
|
428 |
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mdit-py-plugins==0.4.0
|
429 |
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mdurl==0.1.2
|
430 |
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memory-profiler==0.61.0
|
431 |
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menuinst==2.0.1
|
432 |
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mercantile==1.2.1
|
433 |
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mgwr==2.2.1
|
434 |
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missingno==0.5.2
|
435 |
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mistune==0.8.4
|
436 |
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mizani==0.11.1
|
437 |
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ml-dtypes==0.2.0
|
438 |
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mlcrate==0.2.0
|
439 |
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mlens==0.2.3
|
440 |
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mlxtend==0.23.1
|
441 |
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mne==1.6.1
|
442 |
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mnist==0.2.2
|
443 |
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momepy==0.7.0
|
444 |
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more-itertools==10.2.0
|
445 |
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mpld3==0.5.10
|
446 |
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mpmath==1.3.0
|
447 |
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msgpack==1.0.7
|
448 |
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multidict==6.0.4
|
449 |
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multimethod==1.10
|
450 |
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multipledispatch==1.0.0
|
451 |
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multiprocess==0.70.16
|
452 |
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munkres==1.1.4
|
453 |
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murmurhash==1.0.10
|
454 |
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mypy-extensions==1.0.0
|
455 |
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namex==0.0.7
|
456 |
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nb-conda-kernels==2.3.1
|
457 |
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nb_conda==2.2.1
|
458 |
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nbclassic==1.0.0
|
459 |
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nbclient==0.5.13
|
460 |
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nbconvert==6.4.5
|
461 |
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nbdime==3.2.0
|
462 |
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nbformat==5.9.2
|
463 |
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ndindex==1.8
|
464 |
+
nest-asyncio==1.5.8
|
465 |
+
networkx==3.2.1
|
466 |
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nibabel==5.2.1
|
467 |
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nilearn==0.10.3
|
468 |
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ninja==1.11.1.1
|
469 |
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nltk==3.2.4
|
470 |
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nose==1.3.7
|
471 |
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notebook==6.5.4
|
472 |
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notebook==6.5.6
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473 |
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notebook_executor==0.2
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474 |
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notebook_shim==0.2.3
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475 |
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numba==0.58.1
|
476 |
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numba==0.59.1
|
477 |
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numexpr==2.10.0
|
478 |
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numpy==1.26.4
|
479 |
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nvidia-ml-py==11.495.46
|
480 |
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nvtx==0.2.10
|
481 |
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oauth2client==4.1.3
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482 |
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oauthlib==3.2.2
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483 |
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objsize==0.6.1
|
484 |
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odfpy==1.4.1
|
485 |
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olefile==0.47
|
486 |
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onnx==1.16.0
|
487 |
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opencensus-context==0.1.3
|
488 |
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opencensus==0.11.4
|
489 |
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opencv-contrib-python==4.9.0.80
|
490 |
+
opencv-python-headless==4.9.0.80
|
491 |
+
opencv-python==4.9.0.80
|
492 |
+
openpyxl==3.1.2
|
493 |
+
openslide-python==1.3.1
|
494 |
+
opentelemetry-api==1.22.0
|
495 |
+
opentelemetry-exporter-otlp-proto-common==1.22.0
|
496 |
+
opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
497 |
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opentelemetry-exporter-otlp-proto-http==1.22.0
|
498 |
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opentelemetry-exporter-otlp==1.22.0
|
499 |
+
opentelemetry-proto==1.22.0
|
500 |
+
opentelemetry-sdk==1.22.0
|
501 |
+
opentelemetry-semantic-conventions==0.43b0
|
502 |
+
opt-einsum==3.3.0
|
503 |
+
optax==0.2.2
|
504 |
+
optimum==1.18.1
|
505 |
+
optree==0.11.0
|
506 |
+
optuna==3.6.1
|
507 |
+
orbax-checkpoint==0.5.7
|
508 |
+
ordered-set==4.1.0
|
509 |
+
orjson==3.9.10
|
510 |
+
ortools==9.4.1874
|
511 |
+
osmnx==1.9.2
|
512 |
+
overrides==7.4.0
|
513 |
+
packaging==21.3
|
514 |
+
pandas-datareader==0.10.0
|
515 |
+
pandas-profiling==3.6.6
|
516 |
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pandas-summary==0.2.0
|
517 |
+
pandas==2.1.4
|
518 |
+
pandas==2.2.1
|
519 |
+
pandasql==0.7.3
|
520 |
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pandocfilters==1.5.0
|
521 |
+
panel==1.3.8
|
522 |
+
papermill==2.5.0
|
523 |
+
param==2.1.0
|
524 |
+
parso==0.8.3
|
525 |
+
partd==1.4.1
|
526 |
+
path.py==12.5.0
|
527 |
+
path==16.10.0
|
528 |
+
pathos==0.3.2
|
529 |
+
pathy==0.10.3
|
530 |
+
patsy==0.5.6
|
531 |
+
pdf2image==1.17.0
|
532 |
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peft==0.10.0
|
533 |
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pettingzoo==1.24.0
|
534 |
+
pexpect==4.8.0
|
535 |
+
pexpect==4.9.0
|
536 |
+
phik==0.12.4
|
537 |
+
pickleshare==0.7.5
|
538 |
+
pillow==10.3.0
|
539 |
+
pip==23.3.2
|
540 |
+
pkgutil_resolve_name==1.3.10
|
541 |
+
platformdirs==4.2.0
|
542 |
+
plotly-express==0.4.1
|
543 |
+
plotly==5.18.0
|
544 |
+
plotnine==0.13.4
|
545 |
+
pluggy==1.4.0
|
546 |
+
pointpats==2.4.0
|
547 |
+
polars==0.20.18
|
548 |
+
polyglot==16.7.4
|
549 |
+
pooch==1.8.1
|
550 |
+
pox==0.3.4
|
551 |
+
ppca==0.0.4
|
552 |
+
ppft==1.7.6.8
|
553 |
+
preprocessing==0.1.13
|
554 |
+
preshed==3.0.9
|
555 |
+
prettytable==3.9.0
|
556 |
+
progressbar2==4.4.2
|
557 |
+
prometheus-client==0.19.0
|
558 |
+
promise==2.3
|
559 |
+
prompt-toolkit==3.0.42
|
560 |
+
prompt-toolkit==3.0.43
|
561 |
+
prophet==1.1.1
|
562 |
+
proto-plus==1.23.0
|
563 |
+
protobuf==3.20.3
|
564 |
+
protobuf==4.21.12
|
565 |
+
psutil==5.9.3
|
566 |
+
psutil==5.9.7
|
567 |
+
ptyprocess==0.7.0
|
568 |
+
pudb==2024.1
|
569 |
+
pure-eval==0.2.2
|
570 |
+
py-cpuinfo==9.0.0
|
571 |
+
py-spy==0.3.14
|
572 |
+
py4j==0.10.9.7
|
573 |
+
pyLDAvis==3.4.1
|
574 |
+
pyOpenSSL==23.3.0
|
575 |
+
pyaml==23.12.0
|
576 |
+
pyarrow-hotfix==0.6
|
577 |
+
pyarrow==15.0.2
|
578 |
+
pyasn1-modules==0.3.0
|
579 |
+
pyasn1==0.5.1
|
580 |
+
pybind11==2.12.0
|
581 |
+
pyclipper==1.3.0.post5
|
582 |
+
pycodestyle==2.11.1
|
583 |
+
pycosat==0.6.6
|
584 |
+
pycparser==2.21
|
585 |
+
pycryptodome==3.20.0
|
586 |
+
pyct==0.5.0
|
587 |
+
pycuda==2024.1
|
588 |
+
pydantic==2.5.3
|
589 |
+
pydantic==2.6.4
|
590 |
+
pydantic_core==2.14.6
|
591 |
+
pydantic_core==2.16.3
|
592 |
+
pydegensac==0.1.2
|
593 |
+
pydicom==2.4.4
|
594 |
+
pydocstyle==6.3.0
|
595 |
+
pydot==1.4.2
|
596 |
+
pydub==0.25.1
|
597 |
+
pyemd==1.0.0
|
598 |
+
pyerfa==2.0.1.1
|
599 |
+
pyexcel-io==0.6.6
|
600 |
+
pyexcel-ods==0.6.0
|
601 |
+
pyflakes==3.2.0
|
602 |
+
pygltflib==1.16.2
|
603 |
+
pykalman==0.9.7
|
604 |
+
pylibraft==23.8.0
|
605 |
+
pylint==3.1.0
|
606 |
+
pymc3==3.11.4
|
607 |
+
pymongo==3.13.0
|
608 |
+
pynndescent==0.5.12
|
609 |
+
pynvml==11.4.1
|
610 |
+
pynvrtc==9.2
|
611 |
+
pyparsing==3.1.1
|
612 |
+
pyparsing==3.1.2
|
613 |
+
pypdf==4.1.0
|
614 |
+
pyproj==3.6.1
|
615 |
+
pysal==24.1
|
616 |
+
pyshp==2.3.1
|
617 |
+
pytesseract==0.3.10
|
618 |
+
pytest==8.1.1
|
619 |
+
python-bidi==0.4.2
|
620 |
+
python-dateutil==2.9.0.post0
|
621 |
+
python-dotenv==1.0.0
|
622 |
+
python-json-logger==2.0.7
|
623 |
+
python-louvain==0.16
|
624 |
+
python-lsp-jsonrpc==1.1.2
|
625 |
+
python-lsp-server==1.11.0
|
626 |
+
python-slugify==8.0.4
|
627 |
+
python-utils==3.8.2
|
628 |
+
pythreejs==2.4.2
|
629 |
+
pytoolconfig==1.3.1
|
630 |
+
pytools==2024.1.1
|
631 |
+
pytorch-ignite==0.5.0.post2
|
632 |
+
pytorch-lightning==2.2.1
|
633 |
+
pytz==2023.3.post1
|
634 |
+
pytz==2024.1
|
635 |
+
pyu2f==0.1.5
|
636 |
+
pyviz_comms==3.0.2
|
637 |
+
pyzmq==24.0.1
|
638 |
+
pyzmq==25.1.2
|
639 |
+
qgrid==1.3.1
|
640 |
+
qtconsole==5.5.1
|
641 |
+
quantecon==0.7.2
|
642 |
+
qudida==0.0.4
|
643 |
+
raft-dask==23.8.0
|
644 |
+
rasterio==1.3.9
|
645 |
+
rasterstats==0.19.0
|
646 |
+
ray-cpp==2.9.0
|
647 |
+
ray==2.9.0
|
648 |
+
referencing==0.32.1
|
649 |
+
regex==2023.12.25
|
650 |
+
requests-oauthlib==1.3.1
|
651 |
+
requests-toolbelt==0.10.1
|
652 |
+
requests==2.31.0
|
653 |
+
retrying==1.3.3
|
654 |
+
retrying==1.3.4
|
655 |
+
rfc3339-validator==0.1.4
|
656 |
+
rfc3986-validator==0.1.1
|
657 |
+
rgf-python==3.12.0
|
658 |
+
rich-click==1.7.4
|
659 |
+
rich==13.7.0
|
660 |
+
rich==13.7.1
|
661 |
+
rmm==23.8.0
|
662 |
+
rope==1.13.0
|
663 |
+
rouge==1.0.1
|
664 |
+
rpds-py==0.16.2
|
665 |
+
rsa==4.9
|
666 |
+
ruamel-yaml-conda==0.15.100
|
667 |
+
ruamel.yaml.clib==0.2.7
|
668 |
+
ruamel.yaml==0.17.40
|
669 |
+
s2sphere==0.2.5
|
670 |
+
s3fs==2024.2.0
|
671 |
+
s3transfer==0.6.2
|
672 |
+
safetensors==0.4.2
|
673 |
+
scattertext==0.1.19
|
674 |
+
scikit-image==0.22.0
|
675 |
+
scikit-learn-intelex==2024.2.0
|
676 |
+
scikit-learn==1.2.2
|
677 |
+
scikit-multilearn==0.2.0
|
678 |
+
scikit-optimize==0.10.1
|
679 |
+
scikit-plot==0.3.7
|
680 |
+
scikit-surprise==1.1.3
|
681 |
+
scipy==1.11.4
|
682 |
+
scipy==1.12.0
|
683 |
+
seaborn==0.12.2
|
684 |
+
segment_anything==1.0
|
685 |
+
segregation==2.5
|
686 |
+
semver==3.0.2
|
687 |
+
sentencepiece==0.2.0
|
688 |
+
sentry-sdk==1.44.1
|
689 |
+
setproctitle==1.3.3
|
690 |
+
setuptools-git==1.2
|
691 |
+
setuptools-scm==8.0.4
|
692 |
+
setuptools==69.0.3
|
693 |
+
shap==0.44.1
|
694 |
+
shapely==2.0.3
|
695 |
+
shellingham==1.5.4
|
696 |
+
simpervisor==1.0.0
|
697 |
+
simplejson==3.19.2
|
698 |
+
six==1.16.0
|
699 |
+
sklearn-pandas==2.2.0
|
700 |
+
slicer==0.0.7
|
701 |
+
smart-open==6.4.0
|
702 |
+
smmap==5.0.1
|
703 |
+
sniffio==1.3.0
|
704 |
+
snowballstemmer==2.2.0
|
705 |
+
snuggs==1.4.7
|
706 |
+
sortedcontainers==2.4.0
|
707 |
+
soundfile==0.12.1
|
708 |
+
soupsieve==2.5
|
709 |
+
soxr==0.3.7
|
710 |
+
spacy-legacy==3.0.12
|
711 |
+
spacy-loggers==1.0.5
|
712 |
+
spacy==3.7.2
|
713 |
+
spaghetti==1.7.5.post1
|
714 |
+
spectral==0.23.1
|
715 |
+
spglm==1.1.0
|
716 |
+
sphinx-rtd-theme==0.2.4
|
717 |
+
spint==1.0.7
|
718 |
+
splot==1.1.5.post1
|
719 |
+
spopt==0.6.0
|
720 |
+
spreg==1.4.2
|
721 |
+
spvcm==0.3.0
|
722 |
+
sqlparse==0.4.4
|
723 |
+
squarify==0.4.3
|
724 |
+
srsly==2.4.8
|
725 |
+
stable-baselines3==2.1.0
|
726 |
+
stack-data==0.6.2
|
727 |
+
stack-data==0.6.3
|
728 |
+
stanio==0.5.0
|
729 |
+
starlette==0.32.0.post1
|
730 |
+
statsmodels==0.14.1
|
731 |
+
stemming==1.0.1
|
732 |
+
stop-words==2018.7.23
|
733 |
+
stopit==1.1.2
|
734 |
+
stumpy==1.12.0
|
735 |
+
sympy==1.12
|
736 |
+
tables==3.9.2
|
737 |
+
tabulate==0.9.0
|
738 |
+
tangled-up-in-unicode==0.2.0
|
739 |
+
tbb==2021.12.0
|
740 |
+
tblib==3.0.0
|
741 |
+
tenacity==8.2.3
|
742 |
+
tensorboard-data-server==0.7.2
|
743 |
+
tensorboard-plugin-profile==2.15.0
|
744 |
+
tensorboard==2.15.1
|
745 |
+
tensorboardX==2.6.2.2
|
746 |
+
tensorflow-cloud==0.1.16
|
747 |
+
tensorflow-datasets==4.9.4
|
748 |
+
tensorflow-decision-forests==1.8.1
|
749 |
+
tensorflow-estimator==2.15.0
|
750 |
+
tensorflow-hub==0.16.1
|
751 |
+
tensorflow-io-gcs-filesystem==0.35.0
|
752 |
+
tensorflow-io==0.35.0
|
753 |
+
tensorflow-metadata==0.14.0
|
754 |
+
tensorflow-probability==0.23.0
|
755 |
+
tensorflow-serving-api==2.14.1
|
756 |
+
tensorflow-text==2.15.0
|
757 |
+
tensorflow-transform==0.14.0
|
758 |
+
tensorflow==2.15.0
|
759 |
+
tensorstore==0.1.56
|
760 |
+
termcolor==2.4.0
|
761 |
+
terminado==0.18.0
|
762 |
+
testpath==0.6.0
|
763 |
+
text-unidecode==1.3
|
764 |
+
textblob==0.18.0.post0
|
765 |
+
texttable==1.7.0
|
766 |
+
tf_keras==2.15.1
|
767 |
+
tfp-nightly==0.24.0.dev0
|
768 |
+
thinc==8.2.2
|
769 |
+
threadpoolctl==3.2.0
|
770 |
+
tifffile==2023.12.9
|
771 |
+
timm==0.9.16
|
772 |
+
tinycss2==1.2.1
|
773 |
+
tobler==0.11.2
|
774 |
+
tokenizers==0.15.2
|
775 |
+
toml==0.10.2
|
776 |
+
tomli==2.0.1
|
777 |
+
tomlkit==0.12.4
|
778 |
+
toolz==0.12.1
|
779 |
+
torch==2.1.2
|
780 |
+
torchaudio==2.1.2
|
781 |
+
torchdata==0.7.1
|
782 |
+
torchinfo==1.8.0
|
783 |
+
torchmetrics==1.3.2
|
784 |
+
torchtext==0.16.2
|
785 |
+
torchvision==0.16.2
|
786 |
+
tornado==6.3.3
|
787 |
+
tqdm==4.66.1
|
788 |
+
traceml==1.0.8
|
789 |
+
traitlets==5.9.0
|
790 |
+
traittypes==0.2.1
|
791 |
+
transformers==4.39.3
|
792 |
+
treelite-runtime==3.2.0
|
793 |
+
treelite==3.2.0
|
794 |
+
truststore==0.8.0
|
795 |
+
trx-python==0.2.9
|
796 |
+
tsfresh==0.20.2
|
797 |
+
typeguard==4.1.5
|
798 |
+
typer==0.9.0
|
799 |
+
typer==0.9.4
|
800 |
+
types-python-dateutil==2.8.19.20240106
|
801 |
+
typing-inspect==0.9.0
|
802 |
+
typing-utils==0.1.0
|
803 |
+
typing_extensions==4.9.0
|
804 |
+
tzdata==2023.4
|
805 |
+
uc-micro-py==1.0.3
|
806 |
+
ucx-py==0.33.0
|
807 |
+
ujson==5.9.0
|
808 |
+
umap-learn==0.5.5
|
809 |
+
unicodedata2==15.1.0
|
810 |
+
update-checker==0.18.0
|
811 |
+
uri-template==1.3.0
|
812 |
+
uritemplate==3.0.1
|
813 |
+
urllib3==1.26.18
|
814 |
+
urllib3==2.1.0
|
815 |
+
urwid==2.6.10
|
816 |
+
urwid_readline==0.14
|
817 |
+
uvicorn==0.25.0
|
818 |
+
uvloop==0.19.0
|
819 |
+
vaex-astro==0.9.3
|
820 |
+
vaex-core==4.17.1
|
821 |
+
vaex-hdf5==0.14.1
|
822 |
+
vaex-jupyter==0.8.2
|
823 |
+
vaex-ml==0.18.3
|
824 |
+
vaex-server==0.9.0
|
825 |
+
vaex-viz==0.5.4
|
826 |
+
vaex==4.17.0
|
827 |
+
vec_noise==1.1.4
|
828 |
+
vecstack==0.4.0
|
829 |
+
virtualenv==20.21.0
|
830 |
+
visions==0.7.5
|
831 |
+
vowpalwabbit==9.9.0
|
832 |
+
vtk==9.3.0
|
833 |
+
wandb==0.16.5
|
834 |
+
wasabi==1.1.2
|
835 |
+
watchfiles==0.21.0
|
836 |
+
wavio==0.0.8
|
837 |
+
wcwidth==0.2.13
|
838 |
+
weasel==0.3.4
|
839 |
+
webcolors==1.13
|
840 |
+
webencodings==0.5.1
|
841 |
+
websocket-client==1.7.0
|
842 |
+
websockets==12.0
|
843 |
+
wfdb==4.1.2
|
844 |
+
whatthepatch==1.0.5
|
845 |
+
wheel==0.42.0
|
846 |
+
widgetsnbextension==3.6.6
|
847 |
+
witwidget==1.8.1
|
848 |
+
woodwork==0.29.0
|
849 |
+
wordcloud==1.9.3
|
850 |
+
wordsegment==1.3.1
|
851 |
+
wrapt==1.14.1
|
852 |
+
xarray-einstats==0.7.0
|
853 |
+
xarray==2024.3.0
|
854 |
+
xgboost==2.0.3
|
855 |
+
xvfbwrapper==0.2.9
|
856 |
+
xxhash==3.4.1
|
857 |
+
xyzservices==2023.10.1
|
858 |
+
y-py==0.6.2
|
859 |
+
yapf==0.40.2
|
860 |
+
yarl==1.9.3
|
861 |
+
yarl==1.9.4
|
862 |
+
ydata-profiling==4.6.4
|
863 |
+
yellowbrick==1.5
|
864 |
+
ypy-websocket==0.8.4
|
865 |
+
zict==3.0.0
|
866 |
+
zipp==3.17.0
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867 |
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