/kaggle/working/Narkantak/Intent-classify-12K
Browse files- Narkantak/Intent-classify-12K/config.json +43 -0
- Narkantak/Intent-classify-12K/model.safetensors +3 -0
- Narkantak/Intent-classify-12K/special_tokens_map.json +7 -0
- Narkantak/Intent-classify-12K/tokenizer.json +0 -0
- Narkantak/Intent-classify-12K/tokenizer_config.json +56 -0
- Narkantak/Intent-classify-12K/training_args.bin +3 -0
- Narkantak/Intent-classify-12K/vocab.txt +0 -0
- README.md +210 -45
- config.json +43 -0
- events.out.tfevents.1714375529.be592b10bdc8.34.0 +3 -0
- events.out.tfevents.1714379632.be592b10bdc8.34.1 +3 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +56 -0
- training_args.bin +2 -2
- vocab.txt +0 -0
- wandb/debug-internal.log +0 -0
- wandb/debug.log +107 -38
- wandb/run-20240429_072705-0t7z1bit/files/conda-environment.yaml +1070 -0
- wandb/run-20240429_072705-0t7z1bit/files/config.yaml +722 -0
- wandb/run-20240429_072705-0t7z1bit/files/output.log +513 -0
- wandb/run-20240429_072705-0t7z1bit/files/requirements.txt +880 -0
- wandb/run-20240429_072705-0t7z1bit/files/wandb-metadata.json +66 -0
- wandb/run-20240429_072705-0t7z1bit/files/wandb-summary.json +1 -0
- wandb/run-20240429_072705-0t7z1bit/logs/debug-internal.log +0 -0
- wandb/run-20240429_072705-0t7z1bit/logs/debug.log +109 -0
- wandb/run-20240429_072705-0t7z1bit/run-0t7z1bit.wandb +0 -0
Narkantak/Intent-classify-12K/config.json
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{
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"_name_or_path": "google-bert/bert-base-uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Install",
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"1": "Compensation",
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"2": "Change",
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"3": "Summarize",
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"4": "Terminate",
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"5": "SBC"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Change": 2,
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"Compensation": 1,
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"Install": 0,
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"SBC": 5,
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"Summarize": 3,
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"Terminate": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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Narkantak/Intent-classify-12K/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a62c4d9f70c329a6afe6e67264509fbef080878b83aa4afd472515ea7e9dc32
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size 437970952
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Narkantak/Intent-classify-12K/special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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Narkantak/Intent-classify-12K/tokenizer.json
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Narkantak/Intent-classify-12K/tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_length": 512,
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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Narkantak/Intent-classify-12K/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6938a7f9f012635cb9368fe55a61a7d36c6dc8845a5f1454e394f1f564fb5b4
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size 4856
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Narkantak/Intent-classify-12K/vocab.txt
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README.md
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---
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-
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tags:
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- generated_from_trainer
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-
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model-index:
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- name: working
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results: []
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@@ -13,9 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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# working
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-
This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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-
- learning_rate:
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-
- train_batch_size:
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-
- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 24
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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-
| Training Loss | Epoch | Step | Validation Loss |
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| 84 |
### Framework versions
|
| 85 |
|
| 86 |
-
- PEFT 0.10.0
|
| 87 |
- Transformers 4.38.2
|
| 88 |
- Pytorch 2.1.2
|
| 89 |
- Datasets 2.1.0
|
| 90 |
-
- Tokenizers 0.15.2
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|
| 1 |
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: google-bert/bert-base-uncased
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
- f1
|
| 9 |
+
- precision
|
| 10 |
+
- recall
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| 11 |
model-index:
|
| 12 |
- name: working
|
| 13 |
results: []
|
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|
| 18 |
|
| 19 |
# working
|
| 20 |
|
| 21 |
+
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.0013
|
| 24 |
+
- Accuracy: 0.9997
|
| 25 |
+
- F1: 0.9997
|
| 26 |
+
- Precision: 0.9997
|
| 27 |
+
- Recall: 0.9997
|
| 28 |
|
| 29 |
## Model description
|
| 30 |
|
|
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|
| 43 |
### Training hyperparameters
|
| 44 |
|
| 45 |
The following hyperparameters were used during training:
|
| 46 |
+
- learning_rate: 5e-05
|
| 47 |
+
- train_batch_size: 32
|
| 48 |
+
- eval_batch_size: 32
|
| 49 |
- seed: 42
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|
| 50 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
- lr_scheduler_type: linear
|
| 52 |
+
- lr_scheduler_warmup_steps: 10
|
| 53 |
+
- num_epochs: 10
|
|
|
|
| 54 |
|
| 55 |
### Training results
|
| 56 |
|
| 57 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|
| 58 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
|
| 59 |
+
| 1.7386 | 0.05 | 10 | 1.4921 | 0.5744 | 0.5473 | 0.6739 | 0.5638 |
|
| 60 |
+
| 1.2954 | 0.11 | 20 | 0.9534 | 0.9091 | 0.9066 | 0.9148 | 0.9082 |
|
| 61 |
+
| 0.7734 | 0.16 | 30 | 0.4544 | 0.9570 | 0.9567 | 0.9585 | 0.9578 |
|
| 62 |
+
| 0.3456 | 0.21 | 40 | 0.1662 | 0.9907 | 0.9908 | 0.9909 | 0.9907 |
|
| 63 |
+
| 0.1226 | 0.26 | 50 | 0.0743 | 0.9914 | 0.9914 | 0.9916 | 0.9914 |
|
| 64 |
+
| 0.0709 | 0.32 | 60 | 0.0446 | 0.9917 | 0.9917 | 0.9921 | 0.9914 |
|
| 65 |
+
| 0.0565 | 0.37 | 70 | 0.0408 | 0.9897 | 0.9898 | 0.9897 | 0.9900 |
|
| 66 |
+
| 0.0172 | 0.42 | 80 | 0.0214 | 0.9967 | 0.9967 | 0.9966 | 0.9968 |
|
| 67 |
+
| 0.0234 | 0.48 | 90 | 0.0217 | 0.9954 | 0.9954 | 0.9954 | 0.9954 |
|
| 68 |
+
| 0.027 | 0.53 | 100 | 0.0158 | 0.9977 | 0.9977 | 0.9976 | 0.9977 |
|
| 69 |
+
| 0.0346 | 0.58 | 110 | 0.0119 | 0.9980 | 0.9980 | 0.9980 | 0.9981 |
|
| 70 |
+
| 0.0621 | 0.63 | 120 | 0.0093 | 0.9990 | 0.9990 | 0.9990 | 0.9990 |
|
| 71 |
+
| 0.0065 | 0.69 | 130 | 0.0156 | 0.9960 | 0.9960 | 0.9960 | 0.9960 |
|
| 72 |
+
| 0.006 | 0.74 | 140 | 0.0081 | 0.9980 | 0.9980 | 0.9979 | 0.9980 |
|
| 73 |
+
| 0.0045 | 0.79 | 150 | 0.0091 | 0.9970 | 0.9970 | 0.9969 | 0.9971 |
|
| 74 |
+
| 0.0108 | 0.85 | 160 | 0.0045 | 0.9997 | 0.9997 | 0.9997 | 0.9996 |
|
| 75 |
+
| 0.0128 | 0.9 | 170 | 0.0033 | 0.9997 | 0.9997 | 0.9997 | 0.9996 |
|
| 76 |
+
| 0.0166 | 0.95 | 180 | 0.0112 | 0.9974 | 0.9974 | 0.9973 | 0.9974 |
|
| 77 |
+
| 0.0031 | 1.01 | 190 | 0.0117 | 0.9974 | 0.9974 | 0.9973 | 0.9974 |
|
| 78 |
+
| 0.0028 | 1.06 | 200 | 0.0143 | 0.9967 | 0.9967 | 0.9967 | 0.9967 |
|
| 79 |
+
| 0.0031 | 1.11 | 210 | 0.0076 | 0.9987 | 0.9987 | 0.9987 | 0.9987 |
|
| 80 |
+
| 0.0126 | 1.16 | 220 | 0.0051 | 0.9990 | 0.9990 | 0.9990 | 0.9990 |
|
| 81 |
+
| 0.0194 | 1.22 | 230 | 0.0048 | 0.9993 | 0.9993 | 0.9993 | 0.9993 |
|
| 82 |
+
| 0.0021 | 1.27 | 240 | 0.0093 | 0.9980 | 0.9980 | 0.9980 | 0.9980 |
|
| 83 |
+
| 0.002 | 1.32 | 250 | 0.0082 | 0.9983 | 0.9983 | 0.9983 | 0.9983 |
|
| 84 |
+
| 0.0187 | 1.38 | 260 | 0.0041 | 0.9993 | 0.9993 | 0.9993 | 0.9993 |
|
| 85 |
+
| 0.0018 | 1.43 | 270 | 0.0049 | 0.9990 | 0.9990 | 0.9990 | 0.9990 |
|
| 86 |
+
| 0.0016 | 1.48 | 280 | 0.0050 | 0.9987 | 0.9987 | 0.9987 | 0.9986 |
|
| 87 |
+
| 0.0016 | 1.53 | 290 | 0.0047 | 0.9993 | 0.9993 | 0.9993 | 0.9993 |
|
| 88 |
+
| 0.0014 | 1.59 | 300 | 0.0049 | 0.9993 | 0.9993 | 0.9993 | 0.9993 |
|
| 89 |
+
| 0.0014 | 1.64 | 310 | 0.0050 | 0.9990 | 0.9990 | 0.9990 | 0.9990 |
|
| 90 |
+
| 0.0013 | 1.69 | 320 | 0.0051 | 0.9990 | 0.9990 | 0.9990 | 0.9990 |
|
| 91 |
+
| 0.0089 | 1.75 | 330 | 0.0360 | 0.9911 | 0.9911 | 0.9913 | 0.9911 |
|
| 92 |
+
| 0.0211 | 1.8 | 340 | 0.0042 | 0.9987 | 0.9987 | 0.9987 | 0.9987 |
|
| 93 |
+
| 0.0014 | 1.85 | 350 | 0.0223 | 0.9957 | 0.9957 | 0.9957 | 0.9957 |
|
| 94 |
+
| 0.003 | 1.9 | 360 | 0.0027 | 0.9993 | 0.9993 | 0.9993 | 0.9993 |
|
| 95 |
+
| 0.0086 | 1.96 | 370 | 0.0026 | 0.9993 | 0.9994 | 0.9994 | 0.9993 |
|
| 96 |
+
| 0.0013 | 2.01 | 380 | 0.0023 | 0.9990 | 0.9990 | 0.9990 | 0.9990 |
|
| 97 |
+
| 0.0011 | 2.06 | 390 | 0.0037 | 0.9987 | 0.9987 | 0.9987 | 0.9986 |
|
| 98 |
+
| 0.0047 | 2.12 | 400 | 0.0066 | 0.9980 | 0.9980 | 0.9980 | 0.9980 |
|
| 99 |
+
| 0.0013 | 2.17 | 410 | 0.0037 | 0.9990 | 0.9990 | 0.9990 | 0.9990 |
|
| 100 |
+
| 0.001 | 2.22 | 420 | 0.0020 | 0.9997 | 0.9997 | 0.9997 | 0.9996 |
|
| 101 |
+
| 0.0009 | 2.28 | 430 | 0.0014 | 0.9997 | 0.9997 | 0.9997 | 0.9996 |
|
| 102 |
+
| 0.0009 | 2.33 | 440 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9996 |
|
| 103 |
+
| 0.0008 | 2.38 | 450 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9996 |
|
| 104 |
+
| 0.0008 | 2.43 | 460 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9996 |
|
| 105 |
+
| 0.0009 | 2.49 | 470 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 106 |
+
| 0.0008 | 2.54 | 480 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 107 |
+
| 0.0007 | 2.59 | 490 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 108 |
+
| 0.0007 | 2.65 | 500 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 109 |
+
| 0.0007 | 2.7 | 510 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 110 |
+
| 0.014 | 2.75 | 520 | 0.0019 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 111 |
+
| 0.0009 | 2.8 | 530 | 0.0036 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 112 |
+
| 0.0007 | 2.86 | 540 | 0.0036 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 113 |
+
| 0.0007 | 2.91 | 550 | 0.0032 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 114 |
+
| 0.0006 | 2.96 | 560 | 0.0028 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 115 |
+
| 0.0006 | 3.02 | 570 | 0.0026 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 116 |
+
| 0.0006 | 3.07 | 580 | 0.0024 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 117 |
+
| 0.0007 | 3.12 | 590 | 0.0023 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 118 |
+
| 0.0005 | 3.17 | 600 | 0.0021 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 119 |
+
| 0.0006 | 3.23 | 610 | 0.0021 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 120 |
+
| 0.0006 | 3.28 | 620 | 0.0018 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 121 |
+
| 0.0005 | 3.33 | 630 | 0.0017 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 122 |
+
| 0.0005 | 3.39 | 640 | 0.0016 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 123 |
+
| 0.0005 | 3.44 | 650 | 0.0014 | 0.9993 | 0.9993 | 0.9994 | 0.9993 |
|
| 124 |
+
| 0.0005 | 3.49 | 660 | 0.0013 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 125 |
+
| 0.0005 | 3.54 | 670 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 126 |
+
| 0.0005 | 3.6 | 680 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 127 |
+
| 0.0004 | 3.65 | 690 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 128 |
+
| 0.0004 | 3.7 | 700 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 129 |
+
| 0.0004 | 3.76 | 710 | 0.0010 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 130 |
+
| 0.0004 | 3.81 | 720 | 0.0010 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 131 |
+
| 0.0004 | 3.86 | 730 | 0.0010 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 132 |
+
| 0.0004 | 3.92 | 740 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 133 |
+
| 0.0004 | 3.97 | 750 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 134 |
+
| 0.0004 | 4.02 | 760 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 135 |
+
| 0.0004 | 4.07 | 770 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 136 |
+
| 0.0004 | 4.13 | 780 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 137 |
+
| 0.0004 | 4.18 | 790 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 138 |
+
| 0.0004 | 4.23 | 800 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 139 |
+
| 0.0004 | 4.29 | 810 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 140 |
+
| 0.0004 | 4.34 | 820 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 141 |
+
| 0.0004 | 4.39 | 830 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 142 |
+
| 0.0004 | 4.44 | 840 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 143 |
+
| 0.0004 | 4.5 | 850 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 144 |
+
| 0.0003 | 4.55 | 860 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 145 |
+
| 0.0004 | 4.6 | 870 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 146 |
+
| 0.0003 | 4.66 | 880 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 147 |
+
| 0.0003 | 4.71 | 890 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 148 |
+
| 0.0003 | 4.76 | 900 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 149 |
+
| 0.0003 | 4.81 | 910 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 150 |
+
| 0.0003 | 4.87 | 920 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 151 |
+
| 0.0003 | 4.92 | 930 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 152 |
+
| 0.0003 | 4.97 | 940 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 153 |
+
| 0.0003 | 5.03 | 950 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 154 |
+
| 0.0003 | 5.08 | 960 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 155 |
+
| 0.0003 | 5.13 | 970 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 156 |
+
| 0.0003 | 5.19 | 980 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 157 |
+
| 0.0003 | 5.24 | 990 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 158 |
+
| 0.0003 | 5.29 | 1000 | 0.0006 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 159 |
+
| 0.0003 | 5.34 | 1010 | 0.0006 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
|
| 160 |
+
| 0.0003 | 5.4 | 1020 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 161 |
+
| 0.0003 | 5.45 | 1030 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 162 |
+
| 0.0003 | 5.5 | 1040 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 163 |
+
| 0.0003 | 5.56 | 1050 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 164 |
+
| 0.0003 | 5.61 | 1060 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 165 |
+
| 0.0003 | 5.66 | 1070 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 166 |
+
| 0.0003 | 5.71 | 1080 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 167 |
+
| 0.0003 | 5.77 | 1090 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 168 |
+
| 0.0003 | 5.82 | 1100 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 169 |
+
| 0.0003 | 5.87 | 1110 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 170 |
+
| 0.0003 | 5.93 | 1120 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 171 |
+
| 0.0003 | 5.98 | 1130 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 172 |
+
| 0.0003 | 6.03 | 1140 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 173 |
+
| 0.0003 | 6.08 | 1150 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 174 |
+
| 0.0003 | 6.14 | 1160 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 175 |
+
| 0.0003 | 6.19 | 1170 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 176 |
+
| 0.0003 | 6.24 | 1180 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 177 |
+
| 0.0003 | 6.3 | 1190 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 178 |
+
| 0.0002 | 6.35 | 1200 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 179 |
+
| 0.0003 | 6.4 | 1210 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 180 |
+
| 0.0002 | 6.46 | 1220 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 181 |
+
| 0.0002 | 6.51 | 1230 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 182 |
+
| 0.0002 | 6.56 | 1240 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 183 |
+
| 0.0002 | 6.61 | 1250 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 184 |
+
| 0.0002 | 6.67 | 1260 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 185 |
+
| 0.0002 | 6.72 | 1270 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 186 |
+
| 0.0002 | 6.77 | 1280 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 187 |
+
| 0.0002 | 6.83 | 1290 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 188 |
+
| 0.0002 | 6.88 | 1300 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 189 |
+
| 0.0002 | 6.93 | 1310 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 190 |
+
| 0.0002 | 6.98 | 1320 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 191 |
+
| 0.0002 | 7.04 | 1330 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 192 |
+
| 0.0002 | 7.09 | 1340 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 193 |
+
| 0.0002 | 7.14 | 1350 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 194 |
+
| 0.0002 | 7.2 | 1360 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 195 |
+
| 0.0002 | 7.25 | 1370 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 196 |
+
| 0.0002 | 7.3 | 1380 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 197 |
+
| 0.0002 | 7.35 | 1390 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 198 |
+
| 0.0002 | 7.41 | 1400 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 199 |
+
| 0.0002 | 7.46 | 1410 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 200 |
+
| 0.0002 | 7.51 | 1420 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 201 |
+
| 0.0002 | 7.57 | 1430 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 202 |
+
| 0.0002 | 7.62 | 1440 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 203 |
+
| 0.0002 | 7.67 | 1450 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 204 |
+
| 0.0002 | 7.72 | 1460 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 205 |
+
| 0.0002 | 7.78 | 1470 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 206 |
+
| 0.0002 | 7.83 | 1480 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 207 |
+
| 0.0002 | 7.88 | 1490 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 208 |
+
| 0.0002 | 7.94 | 1500 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 209 |
+
| 0.0002 | 7.99 | 1510 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 210 |
+
| 0.0002 | 8.04 | 1520 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 211 |
+
| 0.0002 | 8.1 | 1530 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 212 |
+
| 0.0002 | 8.15 | 1540 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 213 |
+
| 0.0002 | 8.2 | 1550 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 214 |
+
| 0.0002 | 8.25 | 1560 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 215 |
+
| 0.0002 | 8.31 | 1570 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 216 |
+
| 0.0002 | 8.36 | 1580 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 217 |
+
| 0.0002 | 8.41 | 1590 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 218 |
+
| 0.0002 | 8.47 | 1600 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 219 |
+
| 0.0002 | 8.52 | 1610 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 220 |
+
| 0.0002 | 8.57 | 1620 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 221 |
+
| 0.0002 | 8.62 | 1630 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 222 |
+
| 0.0002 | 8.68 | 1640 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 223 |
+
| 0.0002 | 8.73 | 1650 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 224 |
+
| 0.0002 | 8.78 | 1660 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 225 |
+
| 0.0002 | 8.84 | 1670 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 226 |
+
| 0.0002 | 8.89 | 1680 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 227 |
+
| 0.0002 | 8.94 | 1690 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 228 |
+
| 0.0002 | 8.99 | 1700 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 229 |
+
| 0.0002 | 9.05 | 1710 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 230 |
+
| 0.0002 | 9.1 | 1720 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 231 |
+
| 0.0002 | 9.15 | 1730 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 232 |
+
| 0.0002 | 9.21 | 1740 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 233 |
+
| 0.0002 | 9.26 | 1750 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 234 |
+
| 0.0002 | 9.31 | 1760 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 235 |
+
| 0.0002 | 9.37 | 1770 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 236 |
+
| 0.0002 | 9.42 | 1780 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 237 |
+
| 0.0002 | 9.47 | 1790 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 238 |
+
| 0.0002 | 9.52 | 1800 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 239 |
+
| 0.0002 | 9.58 | 1810 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 240 |
+
| 0.0002 | 9.63 | 1820 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 241 |
+
| 0.0002 | 9.68 | 1830 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 242 |
+
| 0.0002 | 9.74 | 1840 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 243 |
+
| 0.0002 | 9.79 | 1850 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 244 |
+
| 0.0002 | 9.84 | 1860 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 245 |
+
| 0.0002 | 9.89 | 1870 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 246 |
+
| 0.0002 | 9.95 | 1880 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 247 |
+
| 0.0002 | 10.0 | 1890 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 248 |
|
| 249 |
|
| 250 |
### Framework versions
|
| 251 |
|
|
|
|
| 252 |
- Transformers 4.38.2
|
| 253 |
- Pytorch 2.1.2
|
| 254 |
- Datasets 2.1.0
|
| 255 |
+
- Tokenizers 0.15.2
|
config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
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"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
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"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "Install",
|
| 14 |
+
"1": "Compensation",
|
| 15 |
+
"2": "Change",
|
| 16 |
+
"3": "Summarize",
|
| 17 |
+
"4": "Terminate",
|
| 18 |
+
"5": "SBC"
|
| 19 |
+
},
|
| 20 |
+
"initializer_range": 0.02,
|
| 21 |
+
"intermediate_size": 3072,
|
| 22 |
+
"label2id": {
|
| 23 |
+
"Change": 2,
|
| 24 |
+
"Compensation": 1,
|
| 25 |
+
"Install": 0,
|
| 26 |
+
"SBC": 5,
|
| 27 |
+
"Summarize": 3,
|
| 28 |
+
"Terminate": 4
|
| 29 |
+
},
|
| 30 |
+
"layer_norm_eps": 1e-12,
|
| 31 |
+
"max_position_embeddings": 512,
|
| 32 |
+
"model_type": "bert",
|
| 33 |
+
"num_attention_heads": 12,
|
| 34 |
+
"num_hidden_layers": 12,
|
| 35 |
+
"pad_token_id": 0,
|
| 36 |
+
"position_embedding_type": "absolute",
|
| 37 |
+
"problem_type": "single_label_classification",
|
| 38 |
+
"torch_dtype": "float32",
|
| 39 |
+
"transformers_version": "4.38.2",
|
| 40 |
+
"type_vocab_size": 2,
|
| 41 |
+
"use_cache": true,
|
| 42 |
+
"vocab_size": 30522
|
| 43 |
+
}
|
events.out.tfevents.1714375529.be592b10bdc8.34.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:81a3b183bb1ccf1fdac789d897f34488c3c43e312a40524a9fe80c158f33374a
|
| 3 |
+
size 134109
|
events.out.tfevents.1714379632.be592b10bdc8.34.1
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:947bba194795d6d4484abbef678c02acca862f62d03ea140c687f92c3ddb2108
|
| 3 |
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size 1504
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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| 3 |
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size 437970952
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
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"unk_token": "[UNK]"
|
| 7 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
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|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": true,
|
| 47 |
+
"mask_token": "[MASK]",
|
| 48 |
+
"max_length": 512,
|
| 49 |
+
"model_max_length": 512,
|
| 50 |
+
"pad_token": "[PAD]",
|
| 51 |
+
"sep_token": "[SEP]",
|
| 52 |
+
"strip_accents": null,
|
| 53 |
+
"tokenize_chinese_chars": true,
|
| 54 |
+
"tokenizer_class": "BertTokenizer",
|
| 55 |
+
"unk_token": "[UNK]"
|
| 56 |
+
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e6938a7f9f012635cb9368fe55a61a7d36c6dc8845a5f1454e394f1f564fb5b4
|
| 3 |
+
size 4856
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
wandb/debug-internal.log
CHANGED
|
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|
|
|
wandb/debug.log
CHANGED
|
@@ -1,40 +1,109 @@
|
|
| 1 |
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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|
| 11 |
-
2024-04-
|
| 12 |
-
2024-04-
|
| 13 |
-
2024-04-
|
| 14 |
config: {}
|
| 15 |
-
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|
| 16 |
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|
| 17 |
-
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|
| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 30 |
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| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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| 35 |
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|
| 36 |
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| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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2024-04-
|
|
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|
| 1 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.4
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| 2 |
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2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
|
| 3 |
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2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
|
| 4 |
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2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
|
| 5 |
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2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
| 6 |
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2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
| 7 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
| 8 |
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2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
|
| 9 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240429_072705-0t7z1bit/logs/debug.log
|
| 10 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240429_072705-0t7z1bit/logs/debug-internal.log
|
| 11 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7b7c6cebd510>
|
| 12 |
+
2024-04-29 07:27:05,565 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
|
| 13 |
+
2024-04-29 07:27:05,565 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
| 14 |
config: {}
|
| 15 |
+
2024-04-29 07:27:05,565 INFO MainThread:34 [wandb_init.py:init():616] starting backend
|
| 16 |
+
2024-04-29 07:27:05,565 INFO MainThread:34 [wandb_init.py:init():620] setting up manager
|
| 17 |
+
2024-04-29 07:27:05,567 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
| 18 |
+
2024-04-29 07:27:05,570 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
|
| 19 |
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2024-04-29 07:27:05,587 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
|
| 20 |
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2024-04-29 07:27:06,060 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
|
| 21 |
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2024-04-29 07:27:06,063 INFO MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
|
| 22 |
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2024-04-29 07:27:06,249 INFO MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
|
| 23 |
+
2024-04-29 07:27:06,331 INFO MainThread:34 [wandb_run.py:_on_init():2271] got version response upgrade_message: "wandb version 0.16.6 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
|
| 24 |
|
| 25 |
+
2024-04-29 07:27:06,331 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
|
| 26 |
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2024-04-29 07:27:37,477 INFO MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
|
| 27 |
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2024-04-29 07:27:37,477 INFO MainThread:34 [wandb_run.py:_redirect():2096] redirect: wrap_raw
|
| 28 |
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2024-04-29 07:27:37,478 INFO MainThread:34 [wandb_run.py:_redirect():2161] Wrapping output streams.
|
| 29 |
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2024-04-29 07:27:37,478 INFO MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
|
| 30 |
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2024-04-29 07:27:37,479 INFO MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
|
| 31 |
+
2024-04-29 07:27:37,487 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['BertForMaskedLM'], 'finetuning_task': None, 'id2label': {0: 'Install', 1: 'Compensation', 2: 'Change', 3: 'Summarize', 4: 'Terminate', 5: 'SBC'}, 'label2id': {'Install': 0, 'Compensation': 1, 'Change': 2, 'Summarize': 3, 'Terminate': 4, 'SBC': 5}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': 0, 'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'google-bert/bert-base-uncased', 'transformers_version': '4.38.2', 'gradient_checkpointing': False, 'model_type': 'bert', 'vocab_size': 30522, 'hidden_size': 768, 'num_hidden_layers': 12, 'num_attention_heads': 12, 'hidden_act': 'gelu', 'intermediate_size': 3072, 'hidden_dropout_prob': 0.1, 'attention_probs_dropout_prob': 0.1, 'max_position_embeddings': 512, 'type_vocab_size': 2, 'initializer_range': 0.02, 'layer_norm_eps': 1e-12, 'position_embedding_type': 'absolute', 'use_cache': True, 'classifier_dropout': None, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 16, 'per_device_eval_batch_size': 16, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 5e-05, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 10, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 10, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 10, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, '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': 'adamw_torch', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, '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_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-20240429_072705-0t7z1bit/files/conda-environment.yaml
ADDED
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|
| 1 |
+
name: base
|
| 2 |
+
channels:
|
| 3 |
+
- pytorch
|
| 4 |
+
- file:///tmp/conda
|
| 5 |
+
- rapidsai
|
| 6 |
+
- nvidia
|
| 7 |
+
- conda-forge
|
| 8 |
+
- defaults
|
| 9 |
+
dependencies:
|
| 10 |
+
- _libgcc_mutex=0.1=conda_forge
|
| 11 |
+
- _openmp_mutex=4.5=2_gnu
|
| 12 |
+
- aiohttp=3.9.1=py310h2372a71_0
|
| 13 |
+
- aiosignal=1.3.1=pyhd8ed1ab_0
|
| 14 |
+
- annotated-types=0.6.0=pyhd8ed1ab_0
|
| 15 |
+
- anyio=4.2.0=pyhd8ed1ab_0
|
| 16 |
+
- archspec=0.2.2=pyhd8ed1ab_0
|
| 17 |
+
- argon2-cffi=23.1.0=pyhd8ed1ab_0
|
| 18 |
+
- argon2-cffi-bindings=21.2.0=py310h2372a71_4
|
| 19 |
+
- arrow=1.3.0=pyhd8ed1ab_0
|
| 20 |
+
- arrow-cpp=11.0.0=ha770c72_9_cpu
|
| 21 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
| 22 |
+
- async-timeout=4.0.3=pyhd8ed1ab_0
|
| 23 |
+
- atk-1.0=2.38.0=hd4edc92_1
|
| 24 |
+
- attrs=23.2.0=pyh71513ae_0
|
| 25 |
+
- aws-c-auth=0.6.26=h987a71b_2
|
| 26 |
+
- aws-c-cal=0.5.21=h48707d8_2
|
| 27 |
+
- aws-c-common=0.8.14=h0b41bf4_0
|
| 28 |
+
- aws-c-compression=0.2.16=h03acc5a_5
|
| 29 |
+
- aws-c-event-stream=0.2.20=h00877a2_4
|
| 30 |
+
- aws-c-http=0.7.6=hf342b9f_0
|
| 31 |
+
- aws-c-io=0.13.19=h5b20300_3
|
| 32 |
+
- aws-c-mqtt=0.8.6=hc4349f7_12
|
| 33 |
+
- aws-c-s3=0.2.7=h909e904_1
|
| 34 |
+
- aws-c-sdkutils=0.1.9=h03acc5a_0
|
| 35 |
+
- aws-checksums=0.1.14=h03acc5a_5
|
| 36 |
+
- aws-crt-cpp=0.19.8=hf7fbfca_12
|
| 37 |
+
- aws-sdk-cpp=1.10.57=h17c43bd_8
|
| 38 |
+
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|
| 39 |
+
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|
| 40 |
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|
| 41 |
+
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|
| 42 |
+
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|
| 43 |
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|
| 44 |
+
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|
| 45 |
+
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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- cairo=1.18.0=h3faef2a_0
|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
+
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
+
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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- libcufft=11.0.2.54=hd3aeb46_0
|
| 179 |
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- libcufile=1.9.0.20=0
|
| 180 |
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|
| 181 |
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|
| 182 |
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- libcumlprims=23.08.00=cuda12_230809_g71c0a86_0
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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- libcusolver-dev=11.4.5.107=0
|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
+
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|
| 201 |
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|
| 202 |
+
- libgoogle-cloud=2.8.0=h3c06191_0
|
| 203 |
+
- libgrpc=1.51.1=hcf146ea_3
|
| 204 |
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|
| 205 |
+
- libiconv=1.17=hd590300_2
|
| 206 |
+
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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- libprotobuf=3.21.12=hfc55251_2
|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
+
- libzlib=1.2.13=hd590300_5
|
| 240 |
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|
| 241 |
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- locket=1.0.0=pyhd8ed1ab_0
|
| 242 |
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- lz4=4.3.3=py310h350c4a5_0
|
| 243 |
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|
| 244 |
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|
| 245 |
+
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|
| 246 |
+
- mamba=1.5.0=py310h51d5547_0
|
| 247 |
+
- markdown-it-py=3.0.0=pyhd8ed1ab_0
|
| 248 |
+
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|
| 249 |
+
- matplotlib-inline=0.1.6=pyhd8ed1ab_0
|
| 250 |
+
- mdurl=0.1.2=pyhd8ed1ab_0
|
| 251 |
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|
| 252 |
+
- mkl=2023.1.0=h213fc3f_46344
|
| 253 |
+
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|
| 254 |
+
- multidict=6.0.4=py310h2372a71_1
|
| 255 |
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|
| 256 |
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|
| 257 |
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- nb_conda=2.2.1=unix_7
|
| 258 |
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- nb_conda_kernels=2.3.1=pyhd8ed1ab_3
|
| 259 |
+
- nbclassic=1.0.0=pyhb4ecaf3_1
|
| 260 |
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|
| 261 |
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- nbformat=5.9.2=pyhd8ed1ab_0
|
| 262 |
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- nccl=2.20.5.1=h3a97aeb_0
|
| 263 |
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- ncurses=6.4=h59595ed_2
|
| 264 |
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- nest-asyncio=1.5.8=pyhd8ed1ab_0
|
| 265 |
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- nodejs=20.9.0=hb753e55_0
|
| 266 |
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|
| 267 |
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- numpy=1.26.4=py310hb13e2d6_0
|
| 268 |
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- nvcomp=2.6.1=h10b603f_3
|
| 269 |
+
- nvtx=0.2.10=py310h2372a71_0
|
| 270 |
+
- openjpeg=2.5.2=h488ebb8_0
|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
+
- parso=0.8.3=pyhd8ed1ab_0
|
| 280 |
+
- partd=1.4.1=pyhd8ed1ab_0
|
| 281 |
+
- pathy=0.10.3=py310h06a4308_0
|
| 282 |
+
- pcre2=10.43=hcad00b1_0
|
| 283 |
+
- perl=5.32.1=7_hd590300_perl5
|
| 284 |
+
- pickleshare=0.7.5=py_1003
|
| 285 |
+
- pip=23.3.2=pyhd8ed1ab_0
|
| 286 |
+
- pixman=0.43.2=h59595ed_0
|
| 287 |
+
- pkg-config=0.29.2=h36c2ea0_1008
|
| 288 |
+
- pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1
|
| 289 |
+
- preshed=3.0.9=py310hc6cd4ac_1
|
| 290 |
+
- proj=9.3.1=h1d62c97_0
|
| 291 |
+
- prometheus_client=0.19.0=pyhd8ed1ab_0
|
| 292 |
+
- proto-plus=1.23.0=pyhd8ed1ab_0
|
| 293 |
+
- pthread-stubs=0.4=h36c2ea0_1001
|
| 294 |
+
- ptyprocess=0.7.0=pyhd3deb0d_0
|
| 295 |
+
- pure_eval=0.2.2=pyhd8ed1ab_0
|
| 296 |
+
- pyarrow=11.0.0=py310h633f555_9_cpu
|
| 297 |
+
- pyasn1=0.5.1=pyhd8ed1ab_0
|
| 298 |
+
- pyasn1-modules=0.3.0=pyhd8ed1ab_0
|
| 299 |
+
- pybind11-abi=4=hd8ed1ab_3
|
| 300 |
+
- pycosat=0.6.6=py310h2372a71_0
|
| 301 |
+
- pygments=2.17.2=pyhd8ed1ab_0
|
| 302 |
+
- pylibraft=23.08.00=cuda12_py310_230809_ge588d7b5_0
|
| 303 |
+
- pynvml=11.4.1=pyhd8ed1ab_0
|
| 304 |
+
- pyopenssl=23.3.0=pyhd8ed1ab_0
|
| 305 |
+
- pyproj=3.6.1=py310hd5c30f3_5
|
| 306 |
+
- pyshp=2.3.1=pyhd8ed1ab_0
|
| 307 |
+
- pysocks=1.7.1=py310h06a4308_0
|
| 308 |
+
- python=3.10.13=hd12c33a_1_cpython
|
| 309 |
+
- python-fastjsonschema=2.19.1=pyhd8ed1ab_0
|
| 310 |
+
- python-json-logger=2.0.7=pyhd8ed1ab_0
|
| 311 |
+
- python_abi=3.10=4_cp310
|
| 312 |
+
- pyu2f=0.1.5=pyhd8ed1ab_0
|
| 313 |
+
- pyyaml=6.0.1=py310h2372a71_1
|
| 314 |
+
- raft-dask=23.08.00=cuda12_py310_230809_ge588d7b5_0
|
| 315 |
+
- rdma-core=28.9=h59595ed_1
|
| 316 |
+
- re2=2023.02.02=hcb278e6_0
|
| 317 |
+
- readline=8.2=h8228510_1
|
| 318 |
+
- referencing=0.32.1=pyhd8ed1ab_0
|
| 319 |
+
- reproc=14.2.4.post0=hd590300_1
|
| 320 |
+
- reproc-cpp=14.2.4.post0=h59595ed_1
|
| 321 |
+
- requests=2.31.0=pyhd8ed1ab_0
|
| 322 |
+
- rfc3339-validator=0.1.4=pyhd8ed1ab_0
|
| 323 |
+
- rfc3986-validator=0.1.1=pyh9f0ad1d_0
|
| 324 |
+
- rmm=23.08.00=cuda12_py310_230809_gf3af0e8d_0
|
| 325 |
+
- rpds-py=0.16.2=py310hcb5633a_0
|
| 326 |
+
- rsa=4.9=pyhd8ed1ab_0
|
| 327 |
+
- ruamel.yaml=0.17.40=py310h2372a71_0
|
| 328 |
+
- ruamel.yaml.clib=0.2.7=py310h2372a71_2
|
| 329 |
+
- ruamel_yaml=0.15.100=py310h7f8727e_0
|
| 330 |
+
- s2n=1.3.41=h3358134_0
|
| 331 |
+
- send2trash=1.8.2=pyh41d4057_0
|
| 332 |
+
- setuptools=69.0.3=pyhd8ed1ab_0
|
| 333 |
+
- shellingham=1.5.4=pyhd8ed1ab_0
|
| 334 |
+
- smart_open=6.4.0=pyhd8ed1ab_0
|
| 335 |
+
- snappy=1.1.10=h9fff704_0
|
| 336 |
+
- sniffio=1.3.0=pyhd8ed1ab_0
|
| 337 |
+
- sortedcontainers=2.4.0=pyhd8ed1ab_0
|
| 338 |
+
- soupsieve=2.5=pyhd8ed1ab_1
|
| 339 |
+
- spacy=3.7.2=py310hcb52e73_0
|
| 340 |
+
- spacy-legacy=3.0.12=pyhd8ed1ab_0
|
| 341 |
+
- spacy-loggers=1.0.5=pyhd8ed1ab_0
|
| 342 |
+
- spdlog=1.11.0=h9b3ece8_1
|
| 343 |
+
- sqlite=3.38.2=hc218d9a_0
|
| 344 |
+
- srsly=2.4.8=py310hc6cd4ac_1
|
| 345 |
+
- stack_data=0.6.2=pyhd8ed1ab_0
|
| 346 |
+
- tblib=3.0.0=pyhd8ed1ab_0
|
| 347 |
+
- terminado=0.18.0=pyh0d859eb_0
|
| 348 |
+
- thinc=8.2.2=py310hcb52e73_0
|
| 349 |
+
- tinycss2=1.2.1=pyhd8ed1ab_0
|
| 350 |
+
- tk=8.6.13=noxft_h4845f30_101
|
| 351 |
+
- toolz=0.12.1=pyhd8ed1ab_0
|
| 352 |
+
- tornado=6.3.3=py310h2372a71_1
|
| 353 |
+
- tqdm=4.66.1=pyhd8ed1ab_0
|
| 354 |
+
- traitlets=5.9.0=pyhd8ed1ab_0
|
| 355 |
+
- treelite=3.2.0=py310h1be96d9_0
|
| 356 |
+
- truststore=0.8.0=pyhd8ed1ab_0
|
| 357 |
+
- typer=0.9.0=pyhd8ed1ab_0
|
| 358 |
+
- types-python-dateutil=2.8.19.20240106=pyhd8ed1ab_0
|
| 359 |
+
- typing-extensions=4.9.0=hd8ed1ab_0
|
| 360 |
+
- typing_extensions=4.9.0=pyha770c72_0
|
| 361 |
+
- typing_utils=0.1.0=pyhd8ed1ab_0
|
| 362 |
+
- ucx=1.14.1=h195a15c_5
|
| 363 |
+
- ucx-proc=1.0.0=gpu
|
| 364 |
+
- ucx-py=0.33.00=py310_230809_gea1eb8f_0
|
| 365 |
+
- unicodedata2=15.1.0=py310h2372a71_0
|
| 366 |
+
- uri-template=1.3.0=pyhd8ed1ab_0
|
| 367 |
+
- wasabi=1.1.2=py310hff52083_0
|
| 368 |
+
- wcwidth=0.2.13=pyhd8ed1ab_0
|
| 369 |
+
- weasel=0.3.4=pyhd8ed1ab_0
|
| 370 |
+
- webcolors=1.13=pyhd8ed1ab_0
|
| 371 |
+
- webencodings=0.5.1=pyhd8ed1ab_2
|
| 372 |
+
- websocket-client=1.7.0=pyhd8ed1ab_0
|
| 373 |
+
- wheel=0.42.0=pyhd8ed1ab_0
|
| 374 |
+
- xorg-kbproto=1.0.7=h7f98852_1002
|
| 375 |
+
- xorg-libice=1.1.1=hd590300_0
|
| 376 |
+
- xorg-libsm=1.2.4=h7391055_0
|
| 377 |
+
- xorg-libx11=1.8.7=h8ee46fc_0
|
| 378 |
+
- xorg-libxau=1.0.11=hd590300_0
|
| 379 |
+
- xorg-libxdmcp=1.1.3=h7f98852_0
|
| 380 |
+
- xorg-libxext=1.3.4=h0b41bf4_2
|
| 381 |
+
- xorg-libxrender=0.9.11=hd590300_0
|
| 382 |
+
- xorg-libxt=1.3.0=hd590300_1
|
| 383 |
+
- xorg-renderproto=0.11.1=h7f98852_1002
|
| 384 |
+
- xorg-xextproto=7.3.0=h0b41bf4_1003
|
| 385 |
+
- xorg-xproto=7.0.31=h7f98852_1007
|
| 386 |
+
- xyzservices=2023.10.1=pyhd8ed1ab_0
|
| 387 |
+
- xz=5.2.6=h166bdaf_0
|
| 388 |
+
- yaml=0.2.5=h7b6447c_0
|
| 389 |
+
- yaml-cpp=0.7.0=h59595ed_3
|
| 390 |
+
- zeromq=4.3.5=h59595ed_0
|
| 391 |
+
- zict=3.0.0=pyhd8ed1ab_0
|
| 392 |
+
- zipp=3.17.0=pyhd8ed1ab_0
|
| 393 |
+
- zlib=1.2.13=hd590300_5
|
| 394 |
+
- zstandard=0.22.0=py310h1275a96_0
|
| 395 |
+
- zstd=1.5.5=hfc55251_0
|
| 396 |
+
- pip:
|
| 397 |
+
- absl-py==1.4.0
|
| 398 |
+
- accelerate==0.28.0
|
| 399 |
+
- access==1.1.9
|
| 400 |
+
- affine==2.4.0
|
| 401 |
+
- aiobotocore==2.12.1
|
| 402 |
+
- aiofiles==22.1.0
|
| 403 |
+
- aiohttp-cors==0.7.0
|
| 404 |
+
- aioitertools==0.11.0
|
| 405 |
+
- aiorwlock==1.3.0
|
| 406 |
+
- aiosqlite==0.19.0
|
| 407 |
+
- albumentations==1.4.0
|
| 408 |
+
- alembic==1.13.1
|
| 409 |
+
- altair==5.2.0
|
| 410 |
+
- annoy==1.17.3
|
| 411 |
+
- apache-beam==2.46.0
|
| 412 |
+
- aplus==0.11.0
|
| 413 |
+
- appdirs==1.4.4
|
| 414 |
+
- array-record==0.5.0
|
| 415 |
+
- arviz==0.17.1
|
| 416 |
+
- astroid==3.0.3
|
| 417 |
+
- astropy==6.0.0
|
| 418 |
+
- astropy-iers-data==0.2024.3.18.0.29.47
|
| 419 |
+
- astunparse==1.6.3
|
| 420 |
+
- async-lru==2.0.4
|
| 421 |
+
- audioread==3.0.1
|
| 422 |
+
- auto-gptq==0.7.1
|
| 423 |
+
- autopep8==2.0.4
|
| 424 |
+
- babel==2.14.0
|
| 425 |
+
- backoff==2.2.1
|
| 426 |
+
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|
| 427 |
+
- beatrix-jupyterlab==2023.128.151533
|
| 428 |
+
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|
| 429 |
+
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|
| 430 |
+
- blake3==0.2.1
|
| 431 |
+
- blessed==1.20.0
|
| 432 |
+
- blinker==1.7.0
|
| 433 |
+
- blosc2==2.5.1
|
| 434 |
+
- bokeh==3.3.4
|
| 435 |
+
- boruta==0.3
|
| 436 |
+
- boto3==1.26.100
|
| 437 |
+
- botocore==1.34.51
|
| 438 |
+
- bqplot==0.12.43
|
| 439 |
+
- branca==0.7.1
|
| 440 |
+
- brewer2mpl==1.4.1
|
| 441 |
+
- cachetools==4.2.4
|
| 442 |
+
- catalyst==22.4
|
| 443 |
+
- catboost==1.2.3
|
| 444 |
+
- category-encoders==2.6.3
|
| 445 |
+
- cesium==0.12.1
|
| 446 |
+
- chex==0.1.85
|
| 447 |
+
- cleverhans==4.0.0
|
| 448 |
+
- click-plugins==1.1.1
|
| 449 |
+
- cligj==0.7.2
|
| 450 |
+
- cloud-tpu-client==0.10
|
| 451 |
+
- cloud-tpu-profiler==2.4.0
|
| 452 |
+
- cloudpickle==2.2.1
|
| 453 |
+
- cmdstanpy==1.2.1
|
| 454 |
+
- cmudict==1.0.21
|
| 455 |
+
- colorcet==3.1.0
|
| 456 |
+
- coloredlogs==15.0.1
|
| 457 |
+
- colorful==0.5.6
|
| 458 |
+
- colorlog==6.8.2
|
| 459 |
+
- colorlover==0.3.0
|
| 460 |
+
- contextily==1.5.2
|
| 461 |
+
- convertdate==2.4.0
|
| 462 |
+
- crcmod==1.7
|
| 463 |
+
- cufflinks==0.17.3
|
| 464 |
+
- cvxcanon==0.1.2
|
| 465 |
+
- cython==3.0.8
|
| 466 |
+
- daal==2024.1.0
|
| 467 |
+
- daal4py==2024.1.0
|
| 468 |
+
- dacite==1.8.1
|
| 469 |
+
- dask==2024.3.1
|
| 470 |
+
- dask-expr==1.0.4
|
| 471 |
+
- dataclasses-json==0.6.4
|
| 472 |
+
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|
| 473 |
+
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|
| 474 |
+
- datashader==0.16.0
|
| 475 |
+
- datatile==1.0.3
|
| 476 |
+
- db-dtypes==1.2.0
|
| 477 |
+
- deap==1.4.1
|
| 478 |
+
- deepdiff==6.7.1
|
| 479 |
+
- deprecated==1.2.14
|
| 480 |
+
- deprecation==2.1.0
|
| 481 |
+
- descartes==1.1.0
|
| 482 |
+
- dill==0.3.8
|
| 483 |
+
- dipy==1.9.0
|
| 484 |
+
- distlib==0.3.8
|
| 485 |
+
- dm-tree==0.1.8
|
| 486 |
+
- docker==7.0.0
|
| 487 |
+
- docker-pycreds==0.4.0
|
| 488 |
+
- docopt==0.6.2
|
| 489 |
+
- docstring-parser==0.15
|
| 490 |
+
- docstring-to-markdown==0.15
|
| 491 |
+
- docutils==0.20.1
|
| 492 |
+
- earthengine-api==0.1.394
|
| 493 |
+
- easydict==1.13
|
| 494 |
+
- easyocr==1.7.1
|
| 495 |
+
- ecos==2.0.13
|
| 496 |
+
- eli5==0.13.0
|
| 497 |
+
- emoji==2.10.1
|
| 498 |
+
- en-core-web-lg==3.7.1
|
| 499 |
+
- en-core-web-sm==3.7.1
|
| 500 |
+
- ephem==4.1.5
|
| 501 |
+
- esda==2.5.1
|
| 502 |
+
- essentia==2.1b6.dev1110
|
| 503 |
+
- et-xmlfile==1.1.0
|
| 504 |
+
- etils==1.6.0
|
| 505 |
+
- explainable-ai-sdk==1.3.3
|
| 506 |
+
- farama-notifications==0.0.4
|
| 507 |
+
- fastai==2.7.14
|
| 508 |
+
- fastapi==0.108.0
|
| 509 |
+
- fastavro==1.9.3
|
| 510 |
+
- fastcore==1.5.29
|
| 511 |
+
- fastdownload==0.0.7
|
| 512 |
+
- fasteners==0.19
|
| 513 |
+
- fastprogress==1.0.3
|
| 514 |
+
- fasttext==0.9.2
|
| 515 |
+
- feather-format==0.4.1
|
| 516 |
+
- featuretools==1.30.0
|
| 517 |
+
- filelock==3.13.1
|
| 518 |
+
- fiona==1.9.6
|
| 519 |
+
- fitter==1.7.0
|
| 520 |
+
- flake8==7.0.0
|
| 521 |
+
- flashtext==2.7
|
| 522 |
+
- flask==3.0.2
|
| 523 |
+
- flatbuffers==23.5.26
|
| 524 |
+
- flax==0.8.2
|
| 525 |
+
- folium==0.16.0
|
| 526 |
+
- fonttools==4.47.0
|
| 527 |
+
- frozendict==2.4.0
|
| 528 |
+
- funcy==2.0
|
| 529 |
+
- fury==0.10.0
|
| 530 |
+
- future==1.0.0
|
| 531 |
+
- fuzzywuzzy==0.18.0
|
| 532 |
+
- gast==0.5.4
|
| 533 |
+
- gatspy==0.3
|
| 534 |
+
- gcsfs==2023.12.2.post1
|
| 535 |
+
- gekko==1.1.1
|
| 536 |
+
- gensim==4.3.2
|
| 537 |
+
- geographiclib==2.0
|
| 538 |
+
- geohash==1.0
|
| 539 |
+
- geojson==3.1.0
|
| 540 |
+
- geopandas==0.14.3
|
| 541 |
+
- geoplot==0.5.1
|
| 542 |
+
- geopy==2.4.1
|
| 543 |
+
- geoviews==1.11.1
|
| 544 |
+
- ggplot==0.11.5
|
| 545 |
+
- giddy==2.3.5
|
| 546 |
+
- gitdb==4.0.11
|
| 547 |
+
- gitpython==3.1.41
|
| 548 |
+
- google-ai-generativelanguage==0.4.0
|
| 549 |
+
- google-api-core==2.17.1
|
| 550 |
+
- google-api-python-client==2.122.0
|
| 551 |
+
- google-apitools==0.5.31
|
| 552 |
+
- google-auth-httplib2==0.1.1
|
| 553 |
+
- google-auth-oauthlib==1.2.0
|
| 554 |
+
- google-cloud-aiplatform==0.6.0a1
|
| 555 |
+
- google-cloud-artifact-registry==1.10.0
|
| 556 |
+
- google-cloud-automl==1.0.1
|
| 557 |
+
- google-cloud-bigquery==2.34.4
|
| 558 |
+
- google-cloud-bigtable==1.7.3
|
| 559 |
+
- google-cloud-dlp==3.14.0
|
| 560 |
+
- google-cloud-jupyter-config==0.0.5
|
| 561 |
+
- google-cloud-language==2.13.3
|
| 562 |
+
- google-cloud-monitoring==2.18.0
|
| 563 |
+
- google-cloud-pubsub==2.19.0
|
| 564 |
+
- google-cloud-pubsublite==1.9.0
|
| 565 |
+
- google-cloud-recommendations-ai==0.7.1
|
| 566 |
+
- google-cloud-resource-manager==1.11.0
|
| 567 |
+
- google-cloud-spanner==3.40.1
|
| 568 |
+
- google-cloud-storage==1.44.0
|
| 569 |
+
- google-cloud-translate==3.12.1
|
| 570 |
+
- google-cloud-videointelligence==2.13.3
|
| 571 |
+
- google-cloud-vision==2.8.0
|
| 572 |
+
- google-crc32c==1.5.0
|
| 573 |
+
- google-generativeai==0.4.1
|
| 574 |
+
- google-pasta==0.2.0
|
| 575 |
+
- google-resumable-media==2.7.0
|
| 576 |
+
- gplearn==0.4.2
|
| 577 |
+
- gpustat==1.0.0
|
| 578 |
+
- gpxpy==1.6.2
|
| 579 |
+
- greenlet==3.0.3
|
| 580 |
+
- grpc-google-iam-v1==0.12.7
|
| 581 |
+
- grpcio==1.60.0
|
| 582 |
+
- grpcio-status==1.48.2
|
| 583 |
+
- gviz-api==1.10.0
|
| 584 |
+
- gym==0.26.2
|
| 585 |
+
- gym-notices==0.0.8
|
| 586 |
+
- gymnasium==0.29.0
|
| 587 |
+
- h11==0.14.0
|
| 588 |
+
- h2o==3.46.0.1
|
| 589 |
+
- h5netcdf==1.3.0
|
| 590 |
+
- h5py==3.10.0
|
| 591 |
+
- haversine==2.8.1
|
| 592 |
+
- hdfs==2.7.3
|
| 593 |
+
- hep-ml==0.7.2
|
| 594 |
+
- hijri-converter==2.3.1
|
| 595 |
+
- hmmlearn==0.3.2
|
| 596 |
+
- holidays==0.24
|
| 597 |
+
- holoviews==1.18.3
|
| 598 |
+
- hpsklearn==0.1.0
|
| 599 |
+
- html5lib==1.1
|
| 600 |
+
- htmlmin==0.1.12
|
| 601 |
+
- httpcore==1.0.4
|
| 602 |
+
- httplib2==0.21.0
|
| 603 |
+
- httptools==0.6.1
|
| 604 |
+
- httpx==0.27.0
|
| 605 |
+
- huggingface-hub==0.21.4
|
| 606 |
+
- humanfriendly==10.0
|
| 607 |
+
- hunspell==0.5.5
|
| 608 |
+
- husl==4.0.3
|
| 609 |
+
- hydra-slayer==0.5.0
|
| 610 |
+
- hyperopt==0.2.7
|
| 611 |
+
- hypertools==0.8.0
|
| 612 |
+
- igraph==0.11.4
|
| 613 |
+
- imagecodecs==2024.1.1
|
| 614 |
+
- imagehash==4.3.1
|
| 615 |
+
- imageio==2.33.1
|
| 616 |
+
- imbalanced-learn==0.12.0
|
| 617 |
+
- imgaug==0.4.0
|
| 618 |
+
- importlib-metadata==6.11.0
|
| 619 |
+
- inequality==1.0.1
|
| 620 |
+
- iniconfig==2.0.0
|
| 621 |
+
- ipydatawidgets==4.3.5
|
| 622 |
+
- ipyleaflet==0.18.2
|
| 623 |
+
- ipympl==0.7.0
|
| 624 |
+
- ipython-genutils==0.2.0
|
| 625 |
+
- ipython-sql==0.5.0
|
| 626 |
+
- ipyvolume==0.6.3
|
| 627 |
+
- ipyvue==1.10.2
|
| 628 |
+
- ipyvuetify==1.9.2
|
| 629 |
+
- ipywebrtc==0.6.0
|
| 630 |
+
- ipywidgets==7.7.1
|
| 631 |
+
- isort==5.13.2
|
| 632 |
+
- isoweek==1.3.3
|
| 633 |
+
- itsdangerous==2.1.2
|
| 634 |
+
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|
| 635 |
+
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|
| 636 |
+
- jax==0.4.23
|
| 637 |
+
- jax-jumpy==1.0.0
|
| 638 |
+
- jaxlib==0.4.23.dev20240116
|
| 639 |
+
- jeepney==0.8.0
|
| 640 |
+
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|
| 641 |
+
- jmespath==1.0.1
|
| 642 |
+
- json5==0.9.14
|
| 643 |
+
- jupyter-client==7.4.9
|
| 644 |
+
- jupyter-console==6.6.3
|
| 645 |
+
- jupyter-http-over-ws==0.0.8
|
| 646 |
+
- jupyter-lsp==1.5.1
|
| 647 |
+
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|
| 648 |
+
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|
| 649 |
+
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|
| 650 |
+
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|
| 651 |
+
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|
| 652 |
+
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|
| 653 |
+
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|
| 654 |
+
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|
| 655 |
+
- jupyterlab-lsp==5.1.0
|
| 656 |
+
- jupyterlab-server==2.25.2
|
| 657 |
+
- jupyterlab-widgets==3.0.9
|
| 658 |
+
- jupytext==1.16.0
|
| 659 |
+
- kaggle==1.6.6
|
| 660 |
+
- kaggle-environments==1.14.3
|
| 661 |
+
- kagglehub==0.2.0
|
| 662 |
+
- keras==3.0.5
|
| 663 |
+
- keras-cv==0.8.2
|
| 664 |
+
- keras-nlp==0.8.2
|
| 665 |
+
- keras-tuner==1.4.6
|
| 666 |
+
- kernels-mixer==0.0.7
|
| 667 |
+
- keyring==24.3.0
|
| 668 |
+
- keyrings-google-artifactregistry-auth==1.1.2
|
| 669 |
+
- kfp==2.5.0
|
| 670 |
+
- kfp-pipeline-spec==0.2.2
|
| 671 |
+
- kfp-server-api==2.0.5
|
| 672 |
+
- kmapper==2.0.1
|
| 673 |
+
- kmodes==0.12.2
|
| 674 |
+
- korean-lunar-calendar==0.3.1
|
| 675 |
+
- kornia==0.7.2
|
| 676 |
+
- kornia-rs==0.1.2
|
| 677 |
+
- kt-legacy==1.0.5
|
| 678 |
+
- kubernetes==26.1.0
|
| 679 |
+
- langid==1.1.6
|
| 680 |
+
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|
| 681 |
+
- learntools==0.3.4
|
| 682 |
+
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|
| 683 |
+
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|
| 684 |
+
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|
| 685 |
+
- libpysal==4.9.2
|
| 686 |
+
- librosa==0.10.1
|
| 687 |
+
- lightgbm==4.2.0
|
| 688 |
+
- lightning-utilities==0.10.1
|
| 689 |
+
- lime==0.2.0.1
|
| 690 |
+
- line-profiler==4.1.2
|
| 691 |
+
- linkify-it-py==2.0.3
|
| 692 |
+
- llvmlite==0.41.1
|
| 693 |
+
- lml==0.1.0
|
| 694 |
+
- loguru==0.7.2
|
| 695 |
+
- lunarcalendar==0.0.9
|
| 696 |
+
- lxml==5.1.0
|
| 697 |
+
- mako==1.3.2
|
| 698 |
+
- mapclassify==2.6.1
|
| 699 |
+
- markdown==3.5.2
|
| 700 |
+
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|
| 701 |
+
- markupsafe==2.1.5
|
| 702 |
+
- marshmallow==3.21.1
|
| 703 |
+
- matplotlib==3.7.5
|
| 704 |
+
- matplotlib-venn==0.11.10
|
| 705 |
+
- mccabe==0.7.0
|
| 706 |
+
- mdit-py-plugins==0.4.0
|
| 707 |
+
- memory-profiler==0.61.0
|
| 708 |
+
- mercantile==1.2.1
|
| 709 |
+
- mgwr==2.2.1
|
| 710 |
+
- missingno==0.5.2
|
| 711 |
+
- mistune==0.8.4
|
| 712 |
+
- mizani==0.11.0
|
| 713 |
+
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|
| 714 |
+
- mlcrate==0.2.0
|
| 715 |
+
- mlens==0.2.3
|
| 716 |
+
- mlxtend==0.23.1
|
| 717 |
+
- mmh3==4.1.0
|
| 718 |
+
- mne==1.6.1
|
| 719 |
+
- mnist==0.2.2
|
| 720 |
+
- mock==5.1.0
|
| 721 |
+
- momepy==0.7.0
|
| 722 |
+
- more-itertools==10.2.0
|
| 723 |
+
- mpld3==0.5.10
|
| 724 |
+
- mpmath==1.3.0
|
| 725 |
+
- msgpack-numpy==0.4.8
|
| 726 |
+
- multimethod==1.10
|
| 727 |
+
- multipledispatch==1.0.0
|
| 728 |
+
- multiprocess==0.70.16
|
| 729 |
+
- mypy-extensions==1.0.0
|
| 730 |
+
- namex==0.0.7
|
| 731 |
+
- nbclient==0.5.13
|
| 732 |
+
- nbconvert==6.4.5
|
| 733 |
+
- nbdime==3.2.0
|
| 734 |
+
- ndindex==1.8
|
| 735 |
+
- networkx==3.2.1
|
| 736 |
+
- nibabel==5.2.1
|
| 737 |
+
- nilearn==0.10.3
|
| 738 |
+
- ninja==1.11.1.1
|
| 739 |
+
- nltk==3.2.4
|
| 740 |
+
- nose==1.3.7
|
| 741 |
+
- notebook==6.5.6
|
| 742 |
+
- notebook-executor==0.2
|
| 743 |
+
- numba==0.58.1
|
| 744 |
+
- numexpr==2.9.0
|
| 745 |
+
- nvidia-ml-py==11.495.46
|
| 746 |
+
- oauth2client==4.1.3
|
| 747 |
+
- oauthlib==3.2.2
|
| 748 |
+
- objsize==0.6.1
|
| 749 |
+
- odfpy==1.4.1
|
| 750 |
+
- olefile==0.47
|
| 751 |
+
- onnx==1.15.0
|
| 752 |
+
- opencensus==0.11.4
|
| 753 |
+
- opencensus-context==0.1.3
|
| 754 |
+
- opencv-contrib-python==4.9.0.80
|
| 755 |
+
- opencv-python==4.9.0.80
|
| 756 |
+
- opencv-python-headless==4.9.0.80
|
| 757 |
+
- openpyxl==3.1.2
|
| 758 |
+
- openslide-python==1.3.1
|
| 759 |
+
- opentelemetry-api==1.22.0
|
| 760 |
+
- opentelemetry-exporter-otlp==1.22.0
|
| 761 |
+
- opentelemetry-exporter-otlp-proto-common==1.22.0
|
| 762 |
+
- opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
| 763 |
+
- opentelemetry-exporter-otlp-proto-http==1.22.0
|
| 764 |
+
- opentelemetry-proto==1.22.0
|
| 765 |
+
- opentelemetry-sdk==1.22.0
|
| 766 |
+
- opentelemetry-semantic-conventions==0.43b0
|
| 767 |
+
- opt-einsum==3.3.0
|
| 768 |
+
- optax==0.2.1
|
| 769 |
+
- optimum==1.19.1
|
| 770 |
+
- optuna==3.6.0
|
| 771 |
+
- orbax-checkpoint==0.5.6
|
| 772 |
+
- ordered-set==4.1.0
|
| 773 |
+
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|
| 774 |
+
- ortools==9.4.1874
|
| 775 |
+
- osmnx==1.9.1
|
| 776 |
+
- packaging==21.3
|
| 777 |
+
- pandas==2.1.4
|
| 778 |
+
- pandas-datareader==0.10.0
|
| 779 |
+
- pandas-profiling==3.6.6
|
| 780 |
+
- pandas-summary==0.2.0
|
| 781 |
+
- pandasql==0.7.3
|
| 782 |
+
- panel==1.3.8
|
| 783 |
+
- papermill==2.5.0
|
| 784 |
+
- param==2.0.2
|
| 785 |
+
- path==16.10.0
|
| 786 |
+
- path-py==12.5.0
|
| 787 |
+
- pathos==0.3.2
|
| 788 |
+
- patsy==0.5.6
|
| 789 |
+
- pdf2image==1.17.0
|
| 790 |
+
- peft==0.10.0
|
| 791 |
+
- pettingzoo==1.24.0
|
| 792 |
+
- pexpect==4.9.0
|
| 793 |
+
- phik==0.12.4
|
| 794 |
+
- pillow==9.5.0
|
| 795 |
+
- platformdirs==4.2.0
|
| 796 |
+
- plotly==5.18.0
|
| 797 |
+
- plotly-express==0.4.1
|
| 798 |
+
- plotnine==0.13.2
|
| 799 |
+
- pluggy==1.4.0
|
| 800 |
+
- pointpats==2.4.0
|
| 801 |
+
- polars==0.20.15
|
| 802 |
+
- polyglot==16.7.4
|
| 803 |
+
- pooch==1.8.1
|
| 804 |
+
- pox==0.3.4
|
| 805 |
+
- ppca==0.0.4
|
| 806 |
+
- ppft==1.7.6.8
|
| 807 |
+
- preprocessing==0.1.13
|
| 808 |
+
- prettytable==3.9.0
|
| 809 |
+
- progressbar2==4.4.2
|
| 810 |
+
- promise==2.3
|
| 811 |
+
- prompt-toolkit==3.0.43
|
| 812 |
+
- pronouncing==0.2.0
|
| 813 |
+
- prophet==1.1.1
|
| 814 |
+
- protobuf==3.20.3
|
| 815 |
+
- psutil==5.9.3
|
| 816 |
+
- pudb==2024.1
|
| 817 |
+
- pulp==2.8.0
|
| 818 |
+
- py-cpuinfo==9.0.0
|
| 819 |
+
- py-spy==0.3.14
|
| 820 |
+
- py4j==0.10.9.7
|
| 821 |
+
- pyaml==23.12.0
|
| 822 |
+
- pyarabic==0.6.15
|
| 823 |
+
- pyastronomy==0.21.0
|
| 824 |
+
- pybind11==2.11.1
|
| 825 |
+
- pyclipper==1.3.0.post5
|
| 826 |
+
- pycodestyle==2.11.1
|
| 827 |
+
- pycparser==2.21
|
| 828 |
+
- pycryptodome==3.20.0
|
| 829 |
+
- pyct==0.5.0
|
| 830 |
+
- pycuda==2024.1
|
| 831 |
+
- pydantic==2.5.3
|
| 832 |
+
- pydantic-core==2.14.6
|
| 833 |
+
- pydegensac==0.1.2
|
| 834 |
+
- pydicom==2.4.4
|
| 835 |
+
- pydocstyle==6.3.0
|
| 836 |
+
- pydot==1.4.2
|
| 837 |
+
- pydub==0.25.1
|
| 838 |
+
- pyemd==1.0.0
|
| 839 |
+
- pyerfa==2.0.1.1
|
| 840 |
+
- pyexcel-io==0.6.6
|
| 841 |
+
- pyexcel-ods==0.6.0
|
| 842 |
+
- pyflakes==3.2.0
|
| 843 |
+
- pygltflib==1.16.2
|
| 844 |
+
- pyjwt==2.8.0
|
| 845 |
+
- pykalman==0.9.5
|
| 846 |
+
- pyldavis==3.4.1
|
| 847 |
+
- pylint==3.0.4
|
| 848 |
+
- pymc3==3.11.4
|
| 849 |
+
- pymeeus==0.5.12
|
| 850 |
+
- pymongo==3.13.0
|
| 851 |
+
- pympler==1.0.1
|
| 852 |
+
- pynndescent==0.5.11
|
| 853 |
+
- pynvrtc==9.2
|
| 854 |
+
- pyocr==0.8.5
|
| 855 |
+
- pyparsing==3.1.1
|
| 856 |
+
- pypdf==4.1.0
|
| 857 |
+
- pysal==24.1
|
| 858 |
+
- pytesseract==0.3.10
|
| 859 |
+
- pytest==8.1.1
|
| 860 |
+
- python-bidi==0.4.2
|
| 861 |
+
- python-dateutil==2.9.0.post0
|
| 862 |
+
- python-dotenv==1.0.0
|
| 863 |
+
- python-graphviz==0.20.2
|
| 864 |
+
- python-levenshtein==0.25.0
|
| 865 |
+
- python-louvain==0.16
|
| 866 |
+
- python-lsp-jsonrpc==1.1.2
|
| 867 |
+
- python-lsp-server==1.10.1
|
| 868 |
+
- python-slugify==8.0.4
|
| 869 |
+
- python-utils==3.8.2
|
| 870 |
+
- pythreejs==2.4.2
|
| 871 |
+
- pytoolconfig==1.3.1
|
| 872 |
+
- pytools==2023.1.1
|
| 873 |
+
- pytorch-ignite==0.4.13
|
| 874 |
+
- pytorch-lightning==2.2.1
|
| 875 |
+
- pytz==2023.3.post1
|
| 876 |
+
- pyupset==0.1.1.post7
|
| 877 |
+
- pyviz-comms==3.0.1
|
| 878 |
+
- pywavelets==1.5.0
|
| 879 |
+
- pyzmq==24.0.1
|
| 880 |
+
- qgrid==1.3.1
|
| 881 |
+
- qtconsole==5.5.1
|
| 882 |
+
- qtpy==2.4.1
|
| 883 |
+
- quantecon==0.7.2
|
| 884 |
+
- quantities==0.15.0
|
| 885 |
+
- qudida==0.0.4
|
| 886 |
+
- rapidfuzz==3.6.2
|
| 887 |
+
- rasterio==1.3.9
|
| 888 |
+
- rasterstats==0.19.0
|
| 889 |
+
- ray==2.9.0
|
| 890 |
+
- ray-cpp==2.9.0
|
| 891 |
+
- regex==2023.12.25
|
| 892 |
+
- requests-oauthlib==1.3.1
|
| 893 |
+
- requests-toolbelt==0.10.1
|
| 894 |
+
- responses==0.18.0
|
| 895 |
+
- retrying==1.3.4
|
| 896 |
+
- rgf-python==3.12.0
|
| 897 |
+
- rich==13.7.0
|
| 898 |
+
- rich-click==1.7.4
|
| 899 |
+
- rope==1.12.0
|
| 900 |
+
- rouge==1.0.1
|
| 901 |
+
- rtree==1.2.0
|
| 902 |
+
- s2sphere==0.2.5
|
| 903 |
+
- s3fs==2024.3.0
|
| 904 |
+
- s3transfer==0.6.2
|
| 905 |
+
- safetensors==0.4.2
|
| 906 |
+
- scattertext==0.1.19
|
| 907 |
+
- scikit-image==0.22.0
|
| 908 |
+
- scikit-learn==1.2.2
|
| 909 |
+
- scikit-learn-intelex==2024.1.0
|
| 910 |
+
- scikit-multilearn==0.2.0
|
| 911 |
+
- scikit-optimize==0.10.1
|
| 912 |
+
- scikit-plot==0.3.7
|
| 913 |
+
- scikit-surprise==1.1.3
|
| 914 |
+
- scipy==1.11.4
|
| 915 |
+
- seaborn==0.12.2
|
| 916 |
+
- secretstorage==3.3.3
|
| 917 |
+
- segment-anything==1.0
|
| 918 |
+
- segregation==2.5
|
| 919 |
+
- semver==3.0.2
|
| 920 |
+
- sentencepiece==0.2.0
|
| 921 |
+
- sentry-sdk==1.42.0
|
| 922 |
+
- setproctitle==1.3.3
|
| 923 |
+
- setuptools-git==1.2
|
| 924 |
+
- setuptools-scm==8.0.4
|
| 925 |
+
- shap==0.44.1
|
| 926 |
+
- shapely==2.0.3
|
| 927 |
+
- shimmy==1.3.0
|
| 928 |
+
- simpervisor==1.0.0
|
| 929 |
+
- simpleitk==2.3.1
|
| 930 |
+
- simplejson==3.19.2
|
| 931 |
+
- six==1.16.0
|
| 932 |
+
- sklearn-pandas==2.2.0
|
| 933 |
+
- slicer==0.0.7
|
| 934 |
+
- smmap==5.0.1
|
| 935 |
+
- snowballstemmer==2.2.0
|
| 936 |
+
- snuggs==1.4.7
|
| 937 |
+
- soundfile==0.12.1
|
| 938 |
+
- soxr==0.3.7
|
| 939 |
+
- spaghetti==1.7.5.post1
|
| 940 |
+
- spectral==0.23.1
|
| 941 |
+
- spglm==1.1.0
|
| 942 |
+
- sphinx-rtd-theme==0.2.4
|
| 943 |
+
- spint==1.0.7
|
| 944 |
+
- splot==1.1.5.post1
|
| 945 |
+
- spopt==0.6.0
|
| 946 |
+
- spreg==1.4.2
|
| 947 |
+
- spvcm==0.3.0
|
| 948 |
+
- sqlalchemy==2.0.25
|
| 949 |
+
- sqlparse==0.4.4
|
| 950 |
+
- squarify==0.4.3
|
| 951 |
+
- stable-baselines3==2.1.0
|
| 952 |
+
- stack-data==0.6.3
|
| 953 |
+
- stanio==0.3.0
|
| 954 |
+
- starlette==0.32.0.post1
|
| 955 |
+
- statsmodels==0.14.1
|
| 956 |
+
- stemming==1.0.1
|
| 957 |
+
- stop-words==2018.7.23
|
| 958 |
+
- stopit==1.1.2
|
| 959 |
+
- stumpy==1.12.0
|
| 960 |
+
- sympy==1.12
|
| 961 |
+
- tables==3.9.2
|
| 962 |
+
- tabulate==0.9.0
|
| 963 |
+
- tangled-up-in-unicode==0.2.0
|
| 964 |
+
- tbb==2021.11.0
|
| 965 |
+
- tenacity==8.2.3
|
| 966 |
+
- tensorboard==2.15.1
|
| 967 |
+
- tensorboard-data-server==0.7.2
|
| 968 |
+
- tensorboard-plugin-profile==2.15.0
|
| 969 |
+
- tensorboardx==2.6.2.2
|
| 970 |
+
- tensorflow==2.15.0
|
| 971 |
+
- tensorflow-cloud==0.1.16
|
| 972 |
+
- tensorflow-datasets==4.9.4
|
| 973 |
+
- tensorflow-decision-forests==1.8.1
|
| 974 |
+
- tensorflow-estimator==2.15.0
|
| 975 |
+
- tensorflow-hub==0.16.1
|
| 976 |
+
- tensorflow-io==0.35.0
|
| 977 |
+
- tensorflow-io-gcs-filesystem==0.35.0
|
| 978 |
+
- tensorflow-metadata==0.14.0
|
| 979 |
+
- tensorflow-probability==0.23.0
|
| 980 |
+
- tensorflow-serving-api==2.14.1
|
| 981 |
+
- tensorflow-text==2.15.0
|
| 982 |
+
- tensorflow-transform==0.14.0
|
| 983 |
+
- tensorpack==0.11
|
| 984 |
+
- tensorstore==0.1.56
|
| 985 |
+
- termcolor==2.4.0
|
| 986 |
+
- testpath==0.6.0
|
| 987 |
+
- text-unidecode==1.3
|
| 988 |
+
- textblob==0.18.0.post0
|
| 989 |
+
- texttable==1.7.0
|
| 990 |
+
- tf-keras==2.15.1
|
| 991 |
+
- tfp-nightly==0.24.0.dev0
|
| 992 |
+
- theano==1.0.5
|
| 993 |
+
- theano-pymc==1.1.2
|
| 994 |
+
- threadpoolctl==3.2.0
|
| 995 |
+
- tifffile==2023.12.9
|
| 996 |
+
- timm==0.9.16
|
| 997 |
+
- tobler==0.11.2
|
| 998 |
+
- tokenizers==0.15.2
|
| 999 |
+
- toml==0.10.2
|
| 1000 |
+
- tomli==2.0.1
|
| 1001 |
+
- tomlkit==0.12.4
|
| 1002 |
+
- torch==2.1.2
|
| 1003 |
+
- torchaudio==2.1.2
|
| 1004 |
+
- torchdata==0.7.1
|
| 1005 |
+
- torchinfo==1.8.0
|
| 1006 |
+
- torchmetrics==1.3.2
|
| 1007 |
+
- torchtext==0.16.2
|
| 1008 |
+
- torchvision==0.16.2
|
| 1009 |
+
- tpot==0.12.1
|
| 1010 |
+
- traceml==1.0.8
|
| 1011 |
+
- traittypes==0.2.1
|
| 1012 |
+
- transformers==4.38.2
|
| 1013 |
+
- treelite-runtime==3.2.0
|
| 1014 |
+
- trueskill==0.4.5
|
| 1015 |
+
- trx-python==0.2.9
|
| 1016 |
+
- tsfresh==0.20.2
|
| 1017 |
+
- typeguard==4.1.5
|
| 1018 |
+
- typing-inspect==0.9.0
|
| 1019 |
+
- tzdata==2023.4
|
| 1020 |
+
- uc-micro-py==1.0.3
|
| 1021 |
+
- ujson==5.9.0
|
| 1022 |
+
- umap-learn==0.5.5
|
| 1023 |
+
- unidecode==1.3.8
|
| 1024 |
+
- update-checker==0.18.0
|
| 1025 |
+
- uritemplate==3.0.1
|
| 1026 |
+
- urllib3==1.26.18
|
| 1027 |
+
- urwid==2.6.9
|
| 1028 |
+
- urwid-readline==0.14
|
| 1029 |
+
- uvicorn==0.25.0
|
| 1030 |
+
- uvloop==0.19.0
|
| 1031 |
+
- vaex==4.17.0
|
| 1032 |
+
- vaex-astro==0.9.3
|
| 1033 |
+
- vaex-core==4.17.1
|
| 1034 |
+
- vaex-hdf5==0.14.1
|
| 1035 |
+
- vaex-jupyter==0.8.2
|
| 1036 |
+
- vaex-ml==0.18.3
|
| 1037 |
+
- vaex-server==0.9.0
|
| 1038 |
+
- vaex-viz==0.5.4
|
| 1039 |
+
- vec-noise==1.1.4
|
| 1040 |
+
- vecstack==0.4.0
|
| 1041 |
+
- virtualenv==20.21.0
|
| 1042 |
+
- visions==0.7.5
|
| 1043 |
+
- vowpalwabbit==9.9.0
|
| 1044 |
+
- vtk==9.3.0
|
| 1045 |
+
- wand==0.6.13
|
| 1046 |
+
- wandb==0.16.4
|
| 1047 |
+
- watchfiles==0.21.0
|
| 1048 |
+
- wavio==0.0.8
|
| 1049 |
+
- websockets==12.0
|
| 1050 |
+
- werkzeug==3.0.1
|
| 1051 |
+
- wfdb==4.1.2
|
| 1052 |
+
- whatthepatch==1.0.5
|
| 1053 |
+
- widgetsnbextension==3.6.6
|
| 1054 |
+
- witwidget==1.8.1
|
| 1055 |
+
- woodwork==0.29.0
|
| 1056 |
+
- wordcloud==1.9.3
|
| 1057 |
+
- wordsegment==1.3.1
|
| 1058 |
+
- wrapt==1.14.1
|
| 1059 |
+
- xarray==2024.2.0
|
| 1060 |
+
- xarray-einstats==0.7.0
|
| 1061 |
+
- xgboost==2.0.3
|
| 1062 |
+
- xvfbwrapper==0.2.9
|
| 1063 |
+
- xxhash==3.4.1
|
| 1064 |
+
- y-py==0.6.2
|
| 1065 |
+
- yapf==0.40.2
|
| 1066 |
+
- yarl==1.9.4
|
| 1067 |
+
- ydata-profiling==4.6.4
|
| 1068 |
+
- yellowbrick==1.5
|
| 1069 |
+
- ypy-websocket==0.8.4
|
| 1070 |
+
prefix: /opt/conda
|
wandb/run-20240429_072705-0t7z1bit/files/config.yaml
ADDED
|
@@ -0,0 +1,722 @@
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eval_delay:
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learning_rate:
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weight_decay:
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adam_beta1:
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adam_beta2:
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adam_epsilon:
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max_grad_norm:
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num_train_epochs:
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max_steps:
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lr_scheduler_type:
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lr_scheduler_kwargs:
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warmup_ratio:
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warmup_steps:
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log_level:
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log_level_replica:
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log_on_each_node:
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logging_dir:
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logging_strategy:
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logging_first_step:
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logging_steps:
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logging_nan_inf_filter:
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save_total_limit:
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save_safetensors:
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value: true
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save_on_each_node:
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save_only_model:
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no_cuda:
|
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|
| 479 |
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use_cpu:
|
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|
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use_mps_device:
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seed:
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data_seed:
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jit_mode_eval:
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use_ipex:
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bf16:
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|
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fp16:
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fp16_opt_level:
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half_precision_backend:
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bf16_full_eval:
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|
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fp16_full_eval:
|
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| 514 |
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|
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tf32:
|
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local_rank:
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ddp_backend:
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tpu_num_cores:
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tpu_metrics_debug:
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debug:
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dataloader_drop_last:
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eval_steps:
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dataloader_num_workers:
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dataloader_prefetch_factor:
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past_index:
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disable_tqdm:
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remove_unused_columns:
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label_names:
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load_best_model_at_end:
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| 562 |
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value: true
|
| 563 |
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metric_for_best_model:
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| 564 |
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|
| 565 |
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value: loss
|
| 566 |
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greater_is_better:
|
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ignore_data_skip:
|
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| 571 |
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fsdp:
|
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| 574 |
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value: []
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fsdp_min_num_params:
|
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| 578 |
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fsdp_config:
|
| 579 |
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| 580 |
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value:
|
| 581 |
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min_num_params: 0
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xla: false
|
| 583 |
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xla_fsdp_v2: false
|
| 584 |
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xla_fsdp_grad_ckpt: false
|
| 585 |
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fsdp_transformer_layer_cls_to_wrap:
|
| 586 |
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desc: null
|
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value: null
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| 588 |
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accelerator_config:
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| 589 |
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value:
|
| 591 |
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split_batches: false
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dispatch_batches: null
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even_batches: true
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use_seedable_sampler: true
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deepspeed:
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label_smoothing_factor:
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optim:
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optim_args:
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adafactor:
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length_column_name:
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report_to:
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ddp_bucket_cap_mb:
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ddp_broadcast_buffers:
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dataloader_pin_memory:
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dataloader_persistent_workers:
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skip_memory_metrics:
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use_legacy_prediction_loop:
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desc: null
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| 641 |
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push_to_hub:
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resume_from_checkpoint:
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| 655 |
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hub_private_repo:
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| 661 |
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gradient_checkpointing_kwargs:
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| 666 |
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fp16_backend:
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push_to_hub_organization:
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|
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| 683 |
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|
| 686 |
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|
| 687 |
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|
| 688 |
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|
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|
| 690 |
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torchdynamo:
|
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|
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| 693 |
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ray_scope:
|
| 694 |
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|
| 695 |
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value: last
|
| 696 |
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ddp_timeout:
|
| 697 |
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|
| 698 |
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value: 1800
|
| 699 |
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torch_compile:
|
| 700 |
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|
| 701 |
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|
| 702 |
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torch_compile_backend:
|
| 703 |
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|
| 704 |
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|
| 705 |
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torch_compile_mode:
|
| 706 |
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|
| 707 |
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|
| 708 |
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dispatch_batches:
|
| 709 |
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|
| 710 |
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|
| 711 |
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split_batches:
|
| 712 |
+
desc: null
|
| 713 |
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value: null
|
| 714 |
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include_tokens_per_second:
|
| 715 |
+
desc: null
|
| 716 |
+
value: false
|
| 717 |
+
include_num_input_tokens_seen:
|
| 718 |
+
desc: null
|
| 719 |
+
value: false
|
| 720 |
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neftune_noise_alpha:
|
| 721 |
+
desc: null
|
| 722 |
+
value: null
|
wandb/run-20240429_072705-0t7z1bit/files/output.log
ADDED
|
@@ -0,0 +1,513 @@
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| 1 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 2 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 3 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 4 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 5 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 6 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 7 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 8 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 9 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 10 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 11 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 12 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 13 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 14 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 15 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 16 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 17 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 18 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 19 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 20 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 21 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 22 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 23 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 24 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 25 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 26 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 27 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 28 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 29 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 30 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 31 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 32 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 33 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 34 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 35 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 36 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 37 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 38 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 39 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 40 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 41 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 42 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 43 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 44 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 45 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 46 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 47 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 48 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 49 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 50 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 51 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 52 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 53 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 54 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 55 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 56 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 57 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 58 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 59 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 60 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 61 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 62 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 63 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 64 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 65 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 66 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 67 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 68 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 69 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 70 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 71 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 72 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 73 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 74 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 75 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 76 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 77 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 78 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 79 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 80 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 81 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 82 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 83 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 84 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 85 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 86 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 87 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 88 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 89 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 90 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 91 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 92 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 93 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 94 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 95 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 96 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 97 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 98 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 99 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 100 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 101 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 102 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 103 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 104 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 105 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 106 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 107 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 108 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 109 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 110 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 111 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 112 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 113 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 114 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 115 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 116 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 117 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 118 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 119 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 120 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 121 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 122 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 123 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 124 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 125 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 126 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 127 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 128 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
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| 129 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 130 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 131 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 132 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
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+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 134 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 135 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 136 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 137 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 138 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 139 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 140 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 141 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 142 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 143 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 144 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 145 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 146 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 147 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 148 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
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+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 150 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
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+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 152 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
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+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 154 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 155 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 156 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 157 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 158 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 159 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 160 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 161 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 162 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
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+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 164 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 165 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 166 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 167 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 168 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 169 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 170 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 171 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 172 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 173 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 174 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 175 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 176 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 177 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 178 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 179 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 180 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 181 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 182 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 183 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 184 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 185 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 186 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 187 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 188 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 189 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 190 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 191 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 192 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 193 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 194 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 195 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 196 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 197 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 198 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 199 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 200 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 201 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 202 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 203 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 204 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 205 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 206 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 207 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 208 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 209 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 210 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 211 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 212 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 213 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 214 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 215 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 216 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 217 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 218 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 219 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 220 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 221 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 222 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 223 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 224 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 225 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 226 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 227 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 228 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 229 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 230 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 231 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 232 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 233 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 234 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 235 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 236 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 237 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 238 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 239 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 240 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 241 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 242 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 243 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 244 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 245 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 246 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 247 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 248 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 249 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 250 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 251 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 252 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 253 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 254 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 255 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 256 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 257 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 258 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 259 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 260 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 261 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 262 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 263 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 264 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 265 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 266 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 267 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 268 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 269 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 270 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 271 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 272 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 273 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 274 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 275 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 276 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 277 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 278 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 279 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 280 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 281 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 282 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 283 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 284 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 285 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 286 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 287 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 288 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 289 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 290 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 291 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 292 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 293 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 294 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 295 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 296 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 297 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 298 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 299 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 300 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 301 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 302 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 303 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 304 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 305 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 306 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 307 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 308 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 309 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 310 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 311 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 312 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 313 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 314 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 315 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 316 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 317 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 318 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 319 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 320 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 321 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 322 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 323 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 324 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 325 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 326 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 327 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 328 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 329 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 330 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 331 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 332 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 333 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 334 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 335 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 336 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 337 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 338 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 339 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 340 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 341 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 342 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 343 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 344 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 345 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 346 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 347 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 348 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 349 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 350 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 351 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 352 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 353 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 354 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 355 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 356 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 357 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 358 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 359 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 360 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 361 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 362 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 363 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 364 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 365 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 366 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 367 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 368 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 369 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 370 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 371 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 372 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 373 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 374 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 375 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 376 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 377 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 378 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 379 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 380 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 381 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 382 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 383 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
| 384 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
| 385 |
+
43
|
| 386 |
+
What is the overall deductible?
|
| 387 |
+
SBC
|
| 388 |
+
What are the benefits covered in my plan?
|
| 389 |
+
SBC
|
| 390 |
+
We have a new hire enrollment for Rubi Olivares Cisneros of Spectrum ABA, LLC. Anticipated Effective Date: 3/1/2024. They would like to enroll in the preexisting UnitedHealthcare plans under the same group: 223343
|
| 391 |
+
Install
|
| 392 |
+
I have an employee for the group Guardrail (294930) that is trying to enroll in coverage under policy code CWYN. This is currently a ghost plan for this group. Can you please help us enroll Dinesh Ketumakha under plan CWYN effective 1/1/2024. I have attached this employee's enrollment form. Please let me know if you need anything else to complete this enrollment.
|
| 393 |
+
Install
|
| 394 |
+
What all assistance can you offer?
|
| 395 |
+
SBC
|
| 396 |
+
I have to generate a summary for my benefits data for the group XYZ
|
| 397 |
+
Summarize
|
| 398 |
+
What is the amount i have to pay if i visit the healthcare provider in his clinic. I am going to visit an in network healthcare provider
|
| 399 |
+
SBC
|
| 400 |
+
what is the total premium paid for 2023 under the writing agent 018104-01
|
| 401 |
+
Compensation
|
| 402 |
+
Can you give the list of customers which are tied to producer with producer id 018104
|
| 403 |
+
Compensation
|
| 404 |
+
What is my billed premium for the effective date 01/01/2023 for producer name PROFESSIONAL GROUP PLANS, INC
|
| 405 |
+
Compensation
|
| 406 |
+
The following request has been made by Professional group to remove the member Bhasin from the group ID 88304 since he is no longer part of the employer. can you help in the above request
|
| 407 |
+
Terminate
|
| 408 |
+
What is the cost for outpatient surgery??
|
| 409 |
+
SBC
|
| 410 |
+
In case of an emergency what will be the copay value
|
| 411 |
+
SBC
|
| 412 |
+
What are the services that are not covered under PPO
|
| 413 |
+
SBC
|
| 414 |
+
Is dental services covered in it as well?
|
| 415 |
+
SBC
|
| 416 |
+
I need to extract the total amount paid under medical coverage for customer name Productigear in this quarter
|
| 417 |
+
Compensation
|
| 418 |
+
Please cancel dental coverage effective 1/1/2024 for Franciszek Ratulowski.
|
| 419 |
+
Change
|
| 420 |
+
Can you please update on the following basis: Family to employee + children, waiving dental and keeping vision. Please let me know if you need anything additional.
|
| 421 |
+
Change
|
| 422 |
+
We got a request to update the home address of the following employee: 09Q8404 Previous Address :: 470 Clark St Current Address :: 1012 Sierra Street, Turlock, Stanislaus, CA, USA 95380
|
| 423 |
+
Change
|
| 424 |
+
What are the different issuer states under the broker 018104
|
| 425 |
+
Compensation
|
| 426 |
+
Are the diagnostic tests covered in my current benefit
|
| 427 |
+
SBC
|
| 428 |
+
I was wondering if it's possible to extend benefits for a dismissed employee into February. Is there someone over there who could help?
|
| 429 |
+
Terminate
|
| 430 |
+
Please see the attached employee application to be added to the existing group insurance plan.
|
| 431 |
+
Install
|
| 432 |
+
Please correct member Sabrina Jenkins’ coverage end date from 01/08/2024 to 01/09/2024. An error was made when terminating her with the dates. Thank you and please let me know if anything else is needed to process it
|
| 433 |
+
Change
|
| 434 |
+
I want to know about my out of pocket limit
|
| 435 |
+
SBC
|
| 436 |
+
Please correct member Sabrina Jenkins’ coverage end date from 01/08/2024 to 01/09/2024. An error was made when terminating her with the dates.
|
| 437 |
+
Change
|
| 438 |
+
Please add spouse and son 2/1 for OE.
|
| 439 |
+
Install
|
| 440 |
+
Please process billing contact change to be effective 1/1/24.
|
| 441 |
+
Install
|
| 442 |
+
Can you ensure this member and dependent are moved from COBRA continuation class to active class?
|
| 443 |
+
Install
|
| 444 |
+
please terminate Pamela Escobar effective 3.31.24 as she is no longer employed
|
| 445 |
+
Terminate
|
| 446 |
+
Please process this change for John Morgan, he is changing from Family to employee + children, waiving dental and keeping vision
|
| 447 |
+
Change
|
| 448 |
+
These need to be updated ASAP, so I am sending a list of employees with their new salaries. Please update them on your end and let me know when they have been processed
|
| 449 |
+
Compensation
|
| 450 |
+
Do i need a referral to see a specialist?
|
| 451 |
+
SBC
|
| 452 |
+
We have a Home Address Update for Jessie Fetterling of Big Edition, Inc.
|
| 453 |
+
Change
|
| 454 |
+
I was wondering if it's possible to extend benefits for a dismissed employee into February
|
| 455 |
+
Terminate
|
| 456 |
+
Please cancel dental coverage effective 1/1/2024 for Franciszek Ratulowski
|
| 457 |
+
Change
|
| 458 |
+
They would like to enroll spouse, Allison Bailey-Nouri
|
| 459 |
+
Install
|
| 460 |
+
Please enroll this member and his wife for 1/1/2024 effective date.
|
| 461 |
+
Install
|
| 462 |
+
What are the services provided if I have a hospital stay under my current benefits?
|
| 463 |
+
SBC
|
| 464 |
+
Please process the attached Enrollment request for employer group American Indian OIC
|
| 465 |
+
Install
|
| 466 |
+
What is the average split percentage for the customer ABC?
|
| 467 |
+
Compensation
|
| 468 |
+
Please see attached new hire app effective 11/1/2023.
|
| 469 |
+
Install
|
| 470 |
+
Please enroll new employee, Stephanie Hamilton, with Davis Farr LLP – Group #03V5870, to become effective 10/01/2023
|
| 471 |
+
Install
|
| 472 |
+
SBC
|
| 473 |
+
SBC
|
| 474 |
+
Install
|
| 475 |
+
Install
|
| 476 |
+
SBC
|
| 477 |
+
Summarize
|
| 478 |
+
SBC
|
| 479 |
+
Compensation
|
| 480 |
+
Compensation
|
| 481 |
+
Compensation
|
| 482 |
+
Terminate
|
| 483 |
+
SBC
|
| 484 |
+
SBC
|
| 485 |
+
SBC
|
| 486 |
+
SBC
|
| 487 |
+
Compensation
|
| 488 |
+
Change
|
| 489 |
+
Change
|
| 490 |
+
Change
|
| 491 |
+
Compensation
|
| 492 |
+
SBC
|
| 493 |
+
Terminate
|
| 494 |
+
Install
|
| 495 |
+
Change
|
| 496 |
+
SBC
|
| 497 |
+
Change
|
| 498 |
+
Install
|
| 499 |
+
Install
|
| 500 |
+
Install
|
| 501 |
+
Terminate
|
| 502 |
+
Change
|
| 503 |
+
Compensation
|
| 504 |
+
SBC
|
| 505 |
+
Change
|
| 506 |
+
Terminate
|
| 507 |
+
Change
|
| 508 |
+
Install
|
| 509 |
+
Install
|
| 510 |
+
SBC
|
| 511 |
+
Install
|
| 512 |
+
Compensation
|
| 513 |
+
Install
|
wandb/run-20240429_072705-0t7z1bit/files/requirements.txt
ADDED
|
@@ -0,0 +1,880 @@
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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 |
+
Levenshtein==0.25.0
|
| 16 |
+
LunarCalendar==0.0.9
|
| 17 |
+
Mako==1.3.2
|
| 18 |
+
Markdown==3.5.2
|
| 19 |
+
MarkupSafe==2.1.3
|
| 20 |
+
MarkupSafe==2.1.5
|
| 21 |
+
Pillow==9.5.0
|
| 22 |
+
PuLP==2.8.0
|
| 23 |
+
PyArabic==0.6.15
|
| 24 |
+
PyAstronomy==0.21.0
|
| 25 |
+
PyJWT==2.8.0
|
| 26 |
+
PyMeeus==0.5.12
|
| 27 |
+
PySocks==1.7.1
|
| 28 |
+
PyUpSet==0.1.1.post7
|
| 29 |
+
PyWavelets==1.5.0
|
| 30 |
+
PyYAML==6.0.1
|
| 31 |
+
Pygments==2.17.2
|
| 32 |
+
Pympler==1.0.1
|
| 33 |
+
QtPy==2.4.1
|
| 34 |
+
Rtree==1.2.0
|
| 35 |
+
SQLAlchemy==2.0.25
|
| 36 |
+
SecretStorage==3.3.3
|
| 37 |
+
Send2Trash==1.8.2
|
| 38 |
+
Shapely==1.8.5.post1
|
| 39 |
+
Shimmy==1.3.0
|
| 40 |
+
SimpleITK==2.3.1
|
| 41 |
+
TPOT==0.12.1
|
| 42 |
+
Theano-PyMC==1.1.2
|
| 43 |
+
Theano==1.0.5
|
| 44 |
+
Unidecode==1.3.8
|
| 45 |
+
Wand==0.6.13
|
| 46 |
+
Werkzeug==3.0.1
|
| 47 |
+
absl-py==1.4.0
|
| 48 |
+
accelerate==0.28.0
|
| 49 |
+
access==1.1.9
|
| 50 |
+
affine==2.4.0
|
| 51 |
+
aiobotocore==2.12.1
|
| 52 |
+
aiofiles==22.1.0
|
| 53 |
+
aiohttp-cors==0.7.0
|
| 54 |
+
aiohttp==3.9.1
|
| 55 |
+
aioitertools==0.11.0
|
| 56 |
+
aiorwlock==1.3.0
|
| 57 |
+
aiosignal==1.3.1
|
| 58 |
+
aiosqlite==0.19.0
|
| 59 |
+
albumentations==1.4.0
|
| 60 |
+
alembic==1.13.1
|
| 61 |
+
altair==5.2.0
|
| 62 |
+
annotated-types==0.6.0
|
| 63 |
+
annoy==1.17.3
|
| 64 |
+
anyio==4.2.0
|
| 65 |
+
apache-beam==2.46.0
|
| 66 |
+
aplus==0.11.0
|
| 67 |
+
appdirs==1.4.4
|
| 68 |
+
archspec==0.2.2
|
| 69 |
+
argon2-cffi-bindings==21.2.0
|
| 70 |
+
argon2-cffi==23.1.0
|
| 71 |
+
array-record==0.5.0
|
| 72 |
+
arrow==1.3.0
|
| 73 |
+
arviz==0.17.1
|
| 74 |
+
astroid==3.0.3
|
| 75 |
+
astropy-iers-data==0.2024.3.18.0.29.47
|
| 76 |
+
astropy==6.0.0
|
| 77 |
+
asttokens==2.4.1
|
| 78 |
+
astunparse==1.6.3
|
| 79 |
+
async-lru==2.0.4
|
| 80 |
+
async-timeout==4.0.3
|
| 81 |
+
attrs==23.2.0
|
| 82 |
+
audioread==3.0.1
|
| 83 |
+
auto_gptq==0.7.1
|
| 84 |
+
autopep8==2.0.4
|
| 85 |
+
backoff==2.2.1
|
| 86 |
+
bayesian-optimization==1.4.3
|
| 87 |
+
beatrix_jupyterlab==2023.128.151533
|
| 88 |
+
beautifulsoup4==4.12.2
|
| 89 |
+
bidict==0.23.1
|
| 90 |
+
bitsandbytes==0.43.1
|
| 91 |
+
blake3==0.2.1
|
| 92 |
+
bleach==6.1.0
|
| 93 |
+
blessed==1.20.0
|
| 94 |
+
blinker==1.7.0
|
| 95 |
+
blis==0.7.10
|
| 96 |
+
blosc2==2.5.1
|
| 97 |
+
bokeh==3.3.4
|
| 98 |
+
boltons==23.1.1
|
| 99 |
+
boto3==1.26.100
|
| 100 |
+
botocore==1.34.51
|
| 101 |
+
bq_helper==0.4.1
|
| 102 |
+
bqplot==0.12.43
|
| 103 |
+
branca==0.7.1
|
| 104 |
+
brewer2mpl==1.4.1
|
| 105 |
+
brotlipy==0.7.0
|
| 106 |
+
cached-property==1.5.2
|
| 107 |
+
cachetools==4.2.4
|
| 108 |
+
cachetools==5.3.2
|
| 109 |
+
catalogue==2.0.10
|
| 110 |
+
catalyst==22.4
|
| 111 |
+
catboost==1.2.3
|
| 112 |
+
category-encoders==2.6.3
|
| 113 |
+
certifi==2024.2.2
|
| 114 |
+
cesium==0.12.1
|
| 115 |
+
cffi==1.16.0
|
| 116 |
+
charset-normalizer==3.3.2
|
| 117 |
+
chex==0.1.85
|
| 118 |
+
cleverhans==4.0.0
|
| 119 |
+
click-plugins==1.1.1
|
| 120 |
+
click==8.1.7
|
| 121 |
+
cligj==0.7.2
|
| 122 |
+
cloud-tpu-client==0.10
|
| 123 |
+
cloud-tpu-profiler==2.4.0
|
| 124 |
+
cloudpathlib==0.16.0
|
| 125 |
+
cloudpickle==2.2.1
|
| 126 |
+
cloudpickle==3.0.0
|
| 127 |
+
cmdstanpy==1.2.1
|
| 128 |
+
cmudict==1.0.21
|
| 129 |
+
colorama==0.4.6
|
| 130 |
+
colorcet==3.1.0
|
| 131 |
+
coloredlogs==15.0.1
|
| 132 |
+
colorful==0.5.6
|
| 133 |
+
colorlog==6.8.2
|
| 134 |
+
colorlover==0.3.0
|
| 135 |
+
comm==0.2.1
|
| 136 |
+
conda-libmamba-solver==23.7.0
|
| 137 |
+
conda-package-handling==2.2.0
|
| 138 |
+
conda==23.7.4
|
| 139 |
+
conda_package_streaming==0.9.0
|
| 140 |
+
confection==0.1.4
|
| 141 |
+
contextily==1.5.2
|
| 142 |
+
contourpy==1.2.0
|
| 143 |
+
convertdate==2.4.0
|
| 144 |
+
crcmod==1.7
|
| 145 |
+
cryptography==41.0.7
|
| 146 |
+
cuda-python==12.4.0
|
| 147 |
+
cudf==23.8.0
|
| 148 |
+
cufflinks==0.17.3
|
| 149 |
+
cuml==23.8.0
|
| 150 |
+
cupy==13.0.0
|
| 151 |
+
cycler==0.12.1
|
| 152 |
+
cymem==2.0.8
|
| 153 |
+
cytoolz==0.12.3
|
| 154 |
+
daal4py==2024.1.0
|
| 155 |
+
daal==2024.1.0
|
| 156 |
+
dacite==1.8.1
|
| 157 |
+
dask-cuda==23.8.0
|
| 158 |
+
dask-cudf==23.8.0
|
| 159 |
+
dask-expr==1.0.4
|
| 160 |
+
dask==2024.3.1
|
| 161 |
+
dataclasses-json==0.6.4
|
| 162 |
+
dataproc_jupyter_plugin==0.1.66
|
| 163 |
+
datasets==2.1.0
|
| 164 |
+
datashader==0.16.0
|
| 165 |
+
datatile==1.0.3
|
| 166 |
+
db-dtypes==1.2.0
|
| 167 |
+
deap==1.4.1
|
| 168 |
+
debugpy==1.8.0
|
| 169 |
+
decorator==5.1.1
|
| 170 |
+
deepdiff==6.7.1
|
| 171 |
+
defusedxml==0.7.1
|
| 172 |
+
deprecation==2.1.0
|
| 173 |
+
descartes==1.1.0
|
| 174 |
+
dill==0.3.8
|
| 175 |
+
dipy==1.9.0
|
| 176 |
+
distlib==0.3.8
|
| 177 |
+
distributed==2023.7.1
|
| 178 |
+
distro==1.9.0
|
| 179 |
+
dm-tree==0.1.8
|
| 180 |
+
docker-pycreds==0.4.0
|
| 181 |
+
docker==7.0.0
|
| 182 |
+
docopt==0.6.2
|
| 183 |
+
docstring-parser==0.15
|
| 184 |
+
docstring-to-markdown==0.15
|
| 185 |
+
docutils==0.20.1
|
| 186 |
+
earthengine-api==0.1.394
|
| 187 |
+
easydict==1.13
|
| 188 |
+
easyocr==1.7.1
|
| 189 |
+
ecos==2.0.13
|
| 190 |
+
eli5==0.13.0
|
| 191 |
+
emoji==2.10.1
|
| 192 |
+
en-core-web-lg==3.7.1
|
| 193 |
+
en-core-web-sm==3.7.1
|
| 194 |
+
entrypoints==0.4
|
| 195 |
+
ephem==4.1.5
|
| 196 |
+
esda==2.5.1
|
| 197 |
+
essentia==2.1b6.dev1110
|
| 198 |
+
et-xmlfile==1.1.0
|
| 199 |
+
etils==1.6.0
|
| 200 |
+
exceptiongroup==1.2.0
|
| 201 |
+
executing==2.0.1
|
| 202 |
+
explainable-ai-sdk==1.3.3
|
| 203 |
+
fastai==2.7.14
|
| 204 |
+
fastapi==0.108.0
|
| 205 |
+
fastavro==1.9.3
|
| 206 |
+
fastcore==1.5.29
|
| 207 |
+
fastdownload==0.0.7
|
| 208 |
+
fasteners==0.19
|
| 209 |
+
fastjsonschema==2.19.1
|
| 210 |
+
fastprogress==1.0.3
|
| 211 |
+
fastrlock==0.8.2
|
| 212 |
+
fasttext==0.9.2
|
| 213 |
+
feather-format==0.4.1
|
| 214 |
+
featuretools==1.30.0
|
| 215 |
+
filelock==3.13.1
|
| 216 |
+
fiona==1.9.6
|
| 217 |
+
fitter==1.7.0
|
| 218 |
+
flake8==7.0.0
|
| 219 |
+
flashtext==2.7
|
| 220 |
+
flatbuffers==23.5.26
|
| 221 |
+
flax==0.8.2
|
| 222 |
+
folium==0.16.0
|
| 223 |
+
fonttools==4.47.0
|
| 224 |
+
fonttools==4.49.0
|
| 225 |
+
fqdn==1.5.1
|
| 226 |
+
frozendict==2.4.0
|
| 227 |
+
frozenlist==1.4.1
|
| 228 |
+
fsspec==2024.3.0
|
| 229 |
+
funcy==2.0
|
| 230 |
+
fury==0.10.0
|
| 231 |
+
future==1.0.0
|
| 232 |
+
fuzzywuzzy==0.18.0
|
| 233 |
+
gast==0.5.4
|
| 234 |
+
gatspy==0.3
|
| 235 |
+
gcsfs==2023.12.2.post1
|
| 236 |
+
gekko==1.1.1
|
| 237 |
+
gensim==4.3.2
|
| 238 |
+
geographiclib==2.0
|
| 239 |
+
geojson==3.1.0
|
| 240 |
+
geopandas==0.14.3
|
| 241 |
+
geoplot==0.5.1
|
| 242 |
+
geopy==2.4.1
|
| 243 |
+
geoviews==1.11.1
|
| 244 |
+
ggplot==0.11.5
|
| 245 |
+
giddy==2.3.5
|
| 246 |
+
gitdb==4.0.11
|
| 247 |
+
google-ai-generativelanguage==0.4.0
|
| 248 |
+
google-api-core==2.11.1
|
| 249 |
+
google-api-core==2.17.1
|
| 250 |
+
google-api-python-client==2.122.0
|
| 251 |
+
google-apitools==0.5.31
|
| 252 |
+
google-auth-httplib2==0.1.1
|
| 253 |
+
google-auth-oauthlib==1.2.0
|
| 254 |
+
google-auth==2.26.1
|
| 255 |
+
google-cloud-aiplatform==0.6.0a1
|
| 256 |
+
google-cloud-artifact-registry==1.10.0
|
| 257 |
+
google-cloud-automl==1.0.1
|
| 258 |
+
google-cloud-bigquery==2.34.4
|
| 259 |
+
google-cloud-bigtable==1.7.3
|
| 260 |
+
google-cloud-core==2.4.1
|
| 261 |
+
google-cloud-datastore==2.19.0
|
| 262 |
+
google-cloud-dlp==3.14.0
|
| 263 |
+
google-cloud-jupyter-config==0.0.5
|
| 264 |
+
google-cloud-language==2.13.3
|
| 265 |
+
google-cloud-monitoring==2.18.0
|
| 266 |
+
google-cloud-pubsub==2.19.0
|
| 267 |
+
google-cloud-pubsublite==1.9.0
|
| 268 |
+
google-cloud-recommendations-ai==0.7.1
|
| 269 |
+
google-cloud-resource-manager==1.11.0
|
| 270 |
+
google-cloud-spanner==3.40.1
|
| 271 |
+
google-cloud-storage==1.44.0
|
| 272 |
+
google-cloud-translate==3.12.1
|
| 273 |
+
google-cloud-videointelligence==2.13.3
|
| 274 |
+
google-cloud-vision==2.8.0
|
| 275 |
+
google-crc32c==1.5.0
|
| 276 |
+
google-generativeai==0.4.1
|
| 277 |
+
google-pasta==0.2.0
|
| 278 |
+
google-resumable-media==2.7.0
|
| 279 |
+
googleapis-common-protos==1.62.0
|
| 280 |
+
gplearn==0.4.2
|
| 281 |
+
gpustat==1.0.0
|
| 282 |
+
gpxpy==1.6.2
|
| 283 |
+
graphviz==0.20.2
|
| 284 |
+
greenlet==3.0.3
|
| 285 |
+
grpc-google-iam-v1==0.12.7
|
| 286 |
+
grpcio-status==1.48.1
|
| 287 |
+
grpcio-status==1.48.2
|
| 288 |
+
grpcio==1.51.1
|
| 289 |
+
grpcio==1.60.0
|
| 290 |
+
gviz-api==1.10.0
|
| 291 |
+
gym-notices==0.0.8
|
| 292 |
+
gym==0.26.2
|
| 293 |
+
gymnasium==0.29.0
|
| 294 |
+
h11==0.14.0
|
| 295 |
+
h2o==3.46.0.1
|
| 296 |
+
h5netcdf==1.3.0
|
| 297 |
+
h5py==3.10.0
|
| 298 |
+
haversine==2.8.1
|
| 299 |
+
hdfs==2.7.3
|
| 300 |
+
hep-ml==0.7.2
|
| 301 |
+
hijri-converter==2.3.1
|
| 302 |
+
hmmlearn==0.3.2
|
| 303 |
+
holidays==0.24
|
| 304 |
+
holoviews==1.18.3
|
| 305 |
+
hpsklearn==0.1.0
|
| 306 |
+
html5lib==1.1
|
| 307 |
+
htmlmin==0.1.12
|
| 308 |
+
httpcore==1.0.4
|
| 309 |
+
httplib2==0.21.0
|
| 310 |
+
httptools==0.6.1
|
| 311 |
+
httpx==0.27.0
|
| 312 |
+
huggingface-hub==0.21.4
|
| 313 |
+
humanfriendly==10.0
|
| 314 |
+
hunspell==0.5.5
|
| 315 |
+
husl==4.0.3
|
| 316 |
+
hydra-slayer==0.5.0
|
| 317 |
+
hyperopt==0.2.7
|
| 318 |
+
hypertools==0.8.0
|
| 319 |
+
idna==3.6
|
| 320 |
+
igraph==0.11.4
|
| 321 |
+
imagecodecs==2024.1.1
|
| 322 |
+
imageio==2.33.1
|
| 323 |
+
imbalanced-learn==0.12.0
|
| 324 |
+
imgaug==0.4.0
|
| 325 |
+
importlib-metadata==6.11.0
|
| 326 |
+
importlib-metadata==7.0.1
|
| 327 |
+
importlib-resources==6.1.1
|
| 328 |
+
inequality==1.0.1
|
| 329 |
+
iniconfig==2.0.0
|
| 330 |
+
ipydatawidgets==4.3.5
|
| 331 |
+
ipykernel==6.28.0
|
| 332 |
+
ipyleaflet==0.18.2
|
| 333 |
+
ipympl==0.7.0
|
| 334 |
+
ipython-genutils==0.2.0
|
| 335 |
+
ipython-genutils==0.2.0
|
| 336 |
+
ipython-sql==0.5.0
|
| 337 |
+
ipython==8.20.0
|
| 338 |
+
ipyvolume==0.6.3
|
| 339 |
+
ipyvue==1.10.2
|
| 340 |
+
ipyvuetify==1.9.2
|
| 341 |
+
ipywebrtc==0.6.0
|
| 342 |
+
ipywidgets==7.7.1
|
| 343 |
+
isoduration==20.11.0
|
| 344 |
+
isort==5.13.2
|
| 345 |
+
isoweek==1.3.3
|
| 346 |
+
itsdangerous==2.1.2
|
| 347 |
+
jaraco.classes==3.3.0
|
| 348 |
+
jax-jumpy==1.0.0
|
| 349 |
+
jax==0.4.23
|
| 350 |
+
jaxlib==0.4.23.dev20240116
|
| 351 |
+
jedi==0.19.1
|
| 352 |
+
jeepney==0.8.0
|
| 353 |
+
jieba==0.42.1
|
| 354 |
+
jmespath==1.0.1
|
| 355 |
+
joblib==1.3.2
|
| 356 |
+
json5==0.9.14
|
| 357 |
+
jsonpatch==1.33
|
| 358 |
+
jsonpointer==2.4
|
| 359 |
+
jsonschema-specifications==2023.12.1
|
| 360 |
+
jsonschema==4.20.0
|
| 361 |
+
jupyter-console==6.6.3
|
| 362 |
+
jupyter-events==0.9.0
|
| 363 |
+
jupyter-http-over-ws==0.0.8
|
| 364 |
+
jupyter-lsp==1.5.1
|
| 365 |
+
jupyter-server-mathjax==0.2.6
|
| 366 |
+
jupyter-ydoc==0.2.5
|
| 367 |
+
jupyter_client==7.4.9
|
| 368 |
+
jupyter_client==8.6.0
|
| 369 |
+
jupyter_core==5.7.1
|
| 370 |
+
jupyter_server==2.13.0
|
| 371 |
+
jupyter_server_fileid==0.9.1
|
| 372 |
+
jupyter_server_proxy==4.1.0
|
| 373 |
+
jupyter_server_terminals==0.5.1
|
| 374 |
+
jupyter_server_ydoc==0.8.0
|
| 375 |
+
jupyterlab-lsp==5.1.0
|
| 376 |
+
jupyterlab-widgets==3.0.9
|
| 377 |
+
jupyterlab==4.1.5
|
| 378 |
+
jupyterlab_git==0.44.0
|
| 379 |
+
jupyterlab_pygments==0.3.0
|
| 380 |
+
jupyterlab_server==2.25.2
|
| 381 |
+
jupytext==1.16.0
|
| 382 |
+
kaggle-environments==1.14.3
|
| 383 |
+
kaggle==1.6.6
|
| 384 |
+
kagglehub==0.2.0
|
| 385 |
+
keras-cv==0.8.2
|
| 386 |
+
keras-nlp==0.8.2
|
| 387 |
+
keras-tuner==1.4.6
|
| 388 |
+
keras==3.0.5
|
| 389 |
+
kernels-mixer==0.0.7
|
| 390 |
+
keyring==24.3.0
|
| 391 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
| 392 |
+
kfp-pipeline-spec==0.2.2
|
| 393 |
+
kfp-server-api==2.0.5
|
| 394 |
+
kfp==2.5.0
|
| 395 |
+
kiwisolver==1.4.5
|
| 396 |
+
kmapper==2.0.1
|
| 397 |
+
kmodes==0.12.2
|
| 398 |
+
korean-lunar-calendar==0.3.1
|
| 399 |
+
kornia==0.7.2
|
| 400 |
+
kornia_rs==0.1.2
|
| 401 |
+
kt-legacy==1.0.5
|
| 402 |
+
kubernetes==26.1.0
|
| 403 |
+
langcodes==3.3.0
|
| 404 |
+
langid==1.1.6
|
| 405 |
+
lazy_loader==0.3
|
| 406 |
+
learntools==0.3.4
|
| 407 |
+
leven==1.0.4
|
| 408 |
+
libclang==16.0.6
|
| 409 |
+
libmambapy==1.5.0
|
| 410 |
+
libpysal==4.9.2
|
| 411 |
+
librosa==0.10.1
|
| 412 |
+
lightgbm==4.2.0
|
| 413 |
+
lightning-utilities==0.10.1
|
| 414 |
+
lime==0.2.0.1
|
| 415 |
+
line-profiler==4.1.2
|
| 416 |
+
linkify-it-py==2.0.3
|
| 417 |
+
llvmlite==0.41.1
|
| 418 |
+
llvmlite==0.42.0
|
| 419 |
+
lml==0.1.0
|
| 420 |
+
locket==1.0.0
|
| 421 |
+
loguru==0.7.2
|
| 422 |
+
lxml==5.1.0
|
| 423 |
+
lz4==4.3.3
|
| 424 |
+
mamba==1.5.0
|
| 425 |
+
mapclassify==2.6.1
|
| 426 |
+
markdown-it-py==3.0.0
|
| 427 |
+
markovify==0.9.4
|
| 428 |
+
marshmallow==3.21.1
|
| 429 |
+
matplotlib-inline==0.1.6
|
| 430 |
+
matplotlib-venn==0.11.10
|
| 431 |
+
matplotlib==3.7.5
|
| 432 |
+
matplotlib==3.8.3
|
| 433 |
+
mccabe==0.7.0
|
| 434 |
+
mdit-py-plugins==0.4.0
|
| 435 |
+
mdurl==0.1.2
|
| 436 |
+
memory-profiler==0.61.0
|
| 437 |
+
menuinst==2.0.1
|
| 438 |
+
mercantile==1.2.1
|
| 439 |
+
mgwr==2.2.1
|
| 440 |
+
missingno==0.5.2
|
| 441 |
+
mistune==0.8.4
|
| 442 |
+
mizani==0.11.0
|
| 443 |
+
ml-dtypes==0.2.0
|
| 444 |
+
mlcrate==0.2.0
|
| 445 |
+
mlens==0.2.3
|
| 446 |
+
mlxtend==0.23.1
|
| 447 |
+
mmh3==4.1.0
|
| 448 |
+
mne==1.6.1
|
| 449 |
+
mnist==0.2.2
|
| 450 |
+
mock==5.1.0
|
| 451 |
+
momepy==0.7.0
|
| 452 |
+
more-itertools==10.2.0
|
| 453 |
+
mpld3==0.5.10
|
| 454 |
+
mpmath==1.3.0
|
| 455 |
+
msgpack-numpy==0.4.8
|
| 456 |
+
msgpack==1.0.7
|
| 457 |
+
multidict==6.0.4
|
| 458 |
+
multimethod==1.10
|
| 459 |
+
multipledispatch==1.0.0
|
| 460 |
+
multiprocess==0.70.16
|
| 461 |
+
munkres==1.1.4
|
| 462 |
+
murmurhash==1.0.10
|
| 463 |
+
mypy-extensions==1.0.0
|
| 464 |
+
namex==0.0.7
|
| 465 |
+
nb-conda-kernels==2.3.1
|
| 466 |
+
nb_conda==2.2.1
|
| 467 |
+
nbclassic==1.0.0
|
| 468 |
+
nbclient==0.5.13
|
| 469 |
+
nbconvert==6.4.5
|
| 470 |
+
nbdime==3.2.0
|
| 471 |
+
nbformat==5.9.2
|
| 472 |
+
ndindex==1.8
|
| 473 |
+
nest-asyncio==1.5.8
|
| 474 |
+
networkx==3.2.1
|
| 475 |
+
nibabel==5.2.1
|
| 476 |
+
nilearn==0.10.3
|
| 477 |
+
ninja==1.11.1.1
|
| 478 |
+
nltk==3.2.4
|
| 479 |
+
nose==1.3.7
|
| 480 |
+
notebook==6.5.4
|
| 481 |
+
notebook==6.5.6
|
| 482 |
+
notebook_executor==0.2
|
| 483 |
+
notebook_shim==0.2.3
|
| 484 |
+
numba==0.58.1
|
| 485 |
+
numba==0.59.0
|
| 486 |
+
numexpr==2.9.0
|
| 487 |
+
numpy==1.26.4
|
| 488 |
+
nvidia-ml-py==11.495.46
|
| 489 |
+
nvtx==0.2.10
|
| 490 |
+
oauth2client==4.1.3
|
| 491 |
+
oauthlib==3.2.2
|
| 492 |
+
objsize==0.6.1
|
| 493 |
+
odfpy==1.4.1
|
| 494 |
+
olefile==0.47
|
| 495 |
+
onnx==1.15.0
|
| 496 |
+
opencensus-context==0.1.3
|
| 497 |
+
opencensus==0.11.4
|
| 498 |
+
opencv-contrib-python==4.9.0.80
|
| 499 |
+
opencv-python-headless==4.9.0.80
|
| 500 |
+
opencv-python==4.9.0.80
|
| 501 |
+
openpyxl==3.1.2
|
| 502 |
+
openslide-python==1.3.1
|
| 503 |
+
opentelemetry-api==1.22.0
|
| 504 |
+
opentelemetry-exporter-otlp-proto-common==1.22.0
|
| 505 |
+
opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
| 506 |
+
opentelemetry-exporter-otlp-proto-http==1.22.0
|
| 507 |
+
opentelemetry-exporter-otlp==1.22.0
|
| 508 |
+
opentelemetry-proto==1.22.0
|
| 509 |
+
opentelemetry-sdk==1.22.0
|
| 510 |
+
opentelemetry-semantic-conventions==0.43b0
|
| 511 |
+
opt-einsum==3.3.0
|
| 512 |
+
optax==0.2.1
|
| 513 |
+
optimum==1.19.1
|
| 514 |
+
optuna==3.6.0
|
| 515 |
+
orbax-checkpoint==0.5.6
|
| 516 |
+
ordered-set==4.1.0
|
| 517 |
+
orjson==3.9.10
|
| 518 |
+
ortools==9.4.1874
|
| 519 |
+
osmnx==1.9.1
|
| 520 |
+
overrides==7.4.0
|
| 521 |
+
packaging==21.3
|
| 522 |
+
pandas-datareader==0.10.0
|
| 523 |
+
pandas-profiling==3.6.6
|
| 524 |
+
pandas-summary==0.2.0
|
| 525 |
+
pandas==2.1.4
|
| 526 |
+
pandas==2.2.1
|
| 527 |
+
pandasql==0.7.3
|
| 528 |
+
pandocfilters==1.5.0
|
| 529 |
+
panel==1.3.8
|
| 530 |
+
papermill==2.5.0
|
| 531 |
+
param==2.0.2
|
| 532 |
+
parso==0.8.3
|
| 533 |
+
partd==1.4.1
|
| 534 |
+
path.py==12.5.0
|
| 535 |
+
path==16.10.0
|
| 536 |
+
pathos==0.3.2
|
| 537 |
+
pathy==0.10.3
|
| 538 |
+
patsy==0.5.6
|
| 539 |
+
pdf2image==1.17.0
|
| 540 |
+
peft==0.10.0
|
| 541 |
+
pettingzoo==1.24.0
|
| 542 |
+
pexpect==4.8.0
|
| 543 |
+
pexpect==4.9.0
|
| 544 |
+
phik==0.12.4
|
| 545 |
+
pickleshare==0.7.5
|
| 546 |
+
pip==23.3.2
|
| 547 |
+
pkgutil_resolve_name==1.3.10
|
| 548 |
+
platformdirs==4.2.0
|
| 549 |
+
plotly-express==0.4.1
|
| 550 |
+
plotly==5.18.0
|
| 551 |
+
plotnine==0.13.2
|
| 552 |
+
pluggy==1.4.0
|
| 553 |
+
pointpats==2.4.0
|
| 554 |
+
polars==0.20.15
|
| 555 |
+
polyglot==16.7.4
|
| 556 |
+
pooch==1.8.1
|
| 557 |
+
pox==0.3.4
|
| 558 |
+
ppca==0.0.4
|
| 559 |
+
ppft==1.7.6.8
|
| 560 |
+
preprocessing==0.1.13
|
| 561 |
+
preshed==3.0.9
|
| 562 |
+
prettytable==3.9.0
|
| 563 |
+
progressbar2==4.4.2
|
| 564 |
+
prometheus-client==0.19.0
|
| 565 |
+
promise==2.3
|
| 566 |
+
prompt-toolkit==3.0.42
|
| 567 |
+
prompt-toolkit==3.0.43
|
| 568 |
+
pronouncing==0.2.0
|
| 569 |
+
prophet==1.1.1
|
| 570 |
+
proto-plus==1.23.0
|
| 571 |
+
protobuf==3.20.3
|
| 572 |
+
protobuf==4.21.12
|
| 573 |
+
psutil==5.9.3
|
| 574 |
+
psutil==5.9.7
|
| 575 |
+
ptyprocess==0.7.0
|
| 576 |
+
pudb==2024.1
|
| 577 |
+
pure-eval==0.2.2
|
| 578 |
+
py-cpuinfo==9.0.0
|
| 579 |
+
py-spy==0.3.14
|
| 580 |
+
py4j==0.10.9.7
|
| 581 |
+
pyLDAvis==3.4.1
|
| 582 |
+
pyOpenSSL==23.3.0
|
| 583 |
+
pyaml==23.12.0
|
| 584 |
+
pyarrow==11.0.0
|
| 585 |
+
pyasn1-modules==0.3.0
|
| 586 |
+
pyasn1==0.5.1
|
| 587 |
+
pybind11==2.11.1
|
| 588 |
+
pyclipper==1.3.0.post5
|
| 589 |
+
pycodestyle==2.11.1
|
| 590 |
+
pycosat==0.6.6
|
| 591 |
+
pycparser==2.21
|
| 592 |
+
pycryptodome==3.20.0
|
| 593 |
+
pyct==0.5.0
|
| 594 |
+
pycuda==2024.1
|
| 595 |
+
pydantic==2.5.3
|
| 596 |
+
pydantic==2.6.4
|
| 597 |
+
pydantic_core==2.14.6
|
| 598 |
+
pydantic_core==2.16.3
|
| 599 |
+
pydegensac==0.1.2
|
| 600 |
+
pydicom==2.4.4
|
| 601 |
+
pydocstyle==6.3.0
|
| 602 |
+
pydot==1.4.2
|
| 603 |
+
pydub==0.25.1
|
| 604 |
+
pyemd==1.0.0
|
| 605 |
+
pyerfa==2.0.1.1
|
| 606 |
+
pyexcel-io==0.6.6
|
| 607 |
+
pyexcel-ods==0.6.0
|
| 608 |
+
pyflakes==3.2.0
|
| 609 |
+
pygltflib==1.16.2
|
| 610 |
+
pykalman==0.9.5
|
| 611 |
+
pylibraft==23.8.0
|
| 612 |
+
pylint==3.0.4
|
| 613 |
+
pymc3==3.11.4
|
| 614 |
+
pymongo==3.13.0
|
| 615 |
+
pynndescent==0.5.11
|
| 616 |
+
pynvml==11.4.1
|
| 617 |
+
pynvrtc==9.2
|
| 618 |
+
pyocr==0.8.5
|
| 619 |
+
pyparsing==3.1.1
|
| 620 |
+
pyparsing==3.1.2
|
| 621 |
+
pypdf==4.1.0
|
| 622 |
+
pyproj==3.6.1
|
| 623 |
+
pysal==24.1
|
| 624 |
+
pyshp==2.3.1
|
| 625 |
+
pytesseract==0.3.10
|
| 626 |
+
pytest==8.1.1
|
| 627 |
+
python-Levenshtein==0.25.0
|
| 628 |
+
python-bidi==0.4.2
|
| 629 |
+
python-dateutil==2.9.0.post0
|
| 630 |
+
python-dotenv==1.0.0
|
| 631 |
+
python-json-logger==2.0.7
|
| 632 |
+
python-louvain==0.16
|
| 633 |
+
python-lsp-jsonrpc==1.1.2
|
| 634 |
+
python-lsp-server==1.10.1
|
| 635 |
+
python-slugify==8.0.4
|
| 636 |
+
python-utils==3.8.2
|
| 637 |
+
pythreejs==2.4.2
|
| 638 |
+
pytoolconfig==1.3.1
|
| 639 |
+
pytools==2023.1.1
|
| 640 |
+
pytorch-ignite==0.4.13
|
| 641 |
+
pytorch-lightning==2.2.1
|
| 642 |
+
pytz==2023.3.post1
|
| 643 |
+
pytz==2024.1
|
| 644 |
+
pyu2f==0.1.5
|
| 645 |
+
pyviz_comms==3.0.1
|
| 646 |
+
pyzmq==24.0.1
|
| 647 |
+
pyzmq==25.1.2
|
| 648 |
+
qgrid==1.3.1
|
| 649 |
+
qtconsole==5.5.1
|
| 650 |
+
quantecon==0.7.2
|
| 651 |
+
quantities==0.15.0
|
| 652 |
+
qudida==0.0.4
|
| 653 |
+
raft-dask==23.8.0
|
| 654 |
+
rapidfuzz==3.6.2
|
| 655 |
+
rasterio==1.3.9
|
| 656 |
+
rasterstats==0.19.0
|
| 657 |
+
ray-cpp==2.9.0
|
| 658 |
+
ray==2.9.0
|
| 659 |
+
referencing==0.32.1
|
| 660 |
+
regex==2023.12.25
|
| 661 |
+
requests-oauthlib==1.3.1
|
| 662 |
+
requests-toolbelt==0.10.1
|
| 663 |
+
requests==2.31.0
|
| 664 |
+
responses==0.18.0
|
| 665 |
+
retrying==1.3.3
|
| 666 |
+
retrying==1.3.4
|
| 667 |
+
rfc3339-validator==0.1.4
|
| 668 |
+
rfc3986-validator==0.1.1
|
| 669 |
+
rgf-python==3.12.0
|
| 670 |
+
rich-click==1.7.4
|
| 671 |
+
rich==13.7.0
|
| 672 |
+
rich==13.7.1
|
| 673 |
+
rmm==23.8.0
|
| 674 |
+
rope==1.12.0
|
| 675 |
+
rouge==1.0.1
|
| 676 |
+
rpds-py==0.16.2
|
| 677 |
+
rsa==4.9
|
| 678 |
+
ruamel-yaml-conda==0.15.100
|
| 679 |
+
ruamel.yaml.clib==0.2.7
|
| 680 |
+
ruamel.yaml==0.17.40
|
| 681 |
+
s2sphere==0.2.5
|
| 682 |
+
s3fs==2024.3.0
|
| 683 |
+
s3transfer==0.6.2
|
| 684 |
+
safetensors==0.4.2
|
| 685 |
+
scattertext==0.1.19
|
| 686 |
+
scikit-image==0.22.0
|
| 687 |
+
scikit-learn-intelex==2024.1.0
|
| 688 |
+
scikit-learn==1.2.2
|
| 689 |
+
scikit-multilearn==0.2.0
|
| 690 |
+
scikit-optimize==0.10.1
|
| 691 |
+
scikit-plot==0.3.7
|
| 692 |
+
scikit-surprise==1.1.3
|
| 693 |
+
scipy==1.11.4
|
| 694 |
+
scipy==1.12.0
|
| 695 |
+
seaborn==0.12.2
|
| 696 |
+
segment_anything==1.0
|
| 697 |
+
segregation==2.5
|
| 698 |
+
semver==3.0.2
|
| 699 |
+
sentencepiece==0.2.0
|
| 700 |
+
sentry-sdk==1.42.0
|
| 701 |
+
setproctitle==1.3.3
|
| 702 |
+
setuptools-git==1.2
|
| 703 |
+
setuptools-scm==8.0.4
|
| 704 |
+
setuptools==69.0.3
|
| 705 |
+
shap==0.44.1
|
| 706 |
+
shapely==2.0.3
|
| 707 |
+
shellingham==1.5.4
|
| 708 |
+
simpervisor==1.0.0
|
| 709 |
+
simplejson==3.19.2
|
| 710 |
+
six==1.16.0
|
| 711 |
+
sklearn-pandas==2.2.0
|
| 712 |
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slicer==0.0.7
|
| 713 |
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smart-open==6.4.0
|
| 714 |
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smmap==5.0.1
|
| 715 |
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|
| 716 |
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snowballstemmer==2.2.0
|
| 717 |
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snuggs==1.4.7
|
| 718 |
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sortedcontainers==2.4.0
|
| 719 |
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soundfile==0.12.1
|
| 720 |
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soupsieve==2.5
|
| 721 |
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soxr==0.3.7
|
| 722 |
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spacy-legacy==3.0.12
|
| 723 |
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spacy-loggers==1.0.5
|
| 724 |
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spacy==3.7.2
|
| 725 |
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|
| 726 |
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|
| 727 |
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|
| 728 |
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sphinx-rtd-theme==0.2.4
|
| 729 |
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| 730 |
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| 731 |
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|
| 732 |
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spreg==1.4.2
|
| 733 |
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|
| 734 |
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sqlparse==0.4.4
|
| 735 |
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squarify==0.4.3
|
| 736 |
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srsly==2.4.8
|
| 737 |
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stable-baselines3==2.1.0
|
| 738 |
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stack-data==0.6.2
|
| 739 |
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|
| 740 |
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stanio==0.3.0
|
| 741 |
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starlette==0.32.0.post1
|
| 742 |
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statsmodels==0.14.1
|
| 743 |
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stemming==1.0.1
|
| 744 |
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stop-words==2018.7.23
|
| 745 |
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stopit==1.1.2
|
| 746 |
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stumpy==1.12.0
|
| 747 |
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sympy==1.12
|
| 748 |
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tables==3.9.2
|
| 749 |
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tabulate==0.9.0
|
| 750 |
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tangled-up-in-unicode==0.2.0
|
| 751 |
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tbb==2021.11.0
|
| 752 |
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tblib==3.0.0
|
| 753 |
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tenacity==8.2.3
|
| 754 |
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tensorboard-data-server==0.7.2
|
| 755 |
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tensorboard-plugin-profile==2.15.0
|
| 756 |
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tensorboard==2.15.1
|
| 757 |
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tensorboardX==2.6.2.2
|
| 758 |
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tensorflow-cloud==0.1.16
|
| 759 |
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tensorflow-datasets==4.9.4
|
| 760 |
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tensorflow-decision-forests==1.8.1
|
| 761 |
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tensorflow-estimator==2.15.0
|
| 762 |
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tensorflow-hub==0.16.1
|
| 763 |
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tensorflow-io-gcs-filesystem==0.35.0
|
| 764 |
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tensorflow-io==0.35.0
|
| 765 |
+
tensorflow-metadata==0.14.0
|
| 766 |
+
tensorflow-probability==0.23.0
|
| 767 |
+
tensorflow-serving-api==2.14.1
|
| 768 |
+
tensorflow-text==2.15.0
|
| 769 |
+
tensorflow-transform==0.14.0
|
| 770 |
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tensorflow==2.15.0
|
| 771 |
+
tensorpack==0.11
|
| 772 |
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tensorstore==0.1.56
|
| 773 |
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termcolor==2.4.0
|
| 774 |
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terminado==0.18.0
|
| 775 |
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testpath==0.6.0
|
| 776 |
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text-unidecode==1.3
|
| 777 |
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textblob==0.18.0.post0
|
| 778 |
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texttable==1.7.0
|
| 779 |
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tf_keras==2.15.1
|
| 780 |
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tfp-nightly==0.24.0.dev0
|
| 781 |
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thinc==8.2.2
|
| 782 |
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threadpoolctl==3.2.0
|
| 783 |
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tifffile==2023.12.9
|
| 784 |
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timm==0.9.16
|
| 785 |
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tinycss2==1.2.1
|
| 786 |
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tobler==0.11.2
|
| 787 |
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tokenizers==0.15.2
|
| 788 |
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toml==0.10.2
|
| 789 |
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tomli==2.0.1
|
| 790 |
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tomlkit==0.12.4
|
| 791 |
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toolz==0.12.1
|
| 792 |
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torch==2.1.2
|
| 793 |
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torchaudio==2.1.2
|
| 794 |
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torchdata==0.7.1
|
| 795 |
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torchinfo==1.8.0
|
| 796 |
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torchmetrics==1.3.2
|
| 797 |
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torchtext==0.16.2
|
| 798 |
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torchvision==0.16.2
|
| 799 |
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tornado==6.3.3
|
| 800 |
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tqdm==4.66.1
|
| 801 |
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traceml==1.0.8
|
| 802 |
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traitlets==5.9.0
|
| 803 |
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traittypes==0.2.1
|
| 804 |
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transformers==4.38.2
|
| 805 |
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treelite-runtime==3.2.0
|
| 806 |
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treelite==3.2.0
|
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trueskill==0.4.5
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truststore==0.8.0
|
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trx-python==0.2.9
|
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tsfresh==0.20.2
|
| 811 |
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typeguard==4.1.5
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| 812 |
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typer==0.9.0
|
| 813 |
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types-python-dateutil==2.8.19.20240106
|
| 814 |
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typing-inspect==0.9.0
|
| 815 |
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typing-utils==0.1.0
|
| 816 |
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typing_extensions==4.9.0
|
| 817 |
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tzdata==2023.4
|
| 818 |
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uc-micro-py==1.0.3
|
| 819 |
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ucx-py==0.33.0
|
| 820 |
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ujson==5.9.0
|
| 821 |
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umap-learn==0.5.5
|
| 822 |
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|
| 823 |
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|
| 824 |
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uri-template==1.3.0
|
| 825 |
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uritemplate==3.0.1
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urllib3==1.26.18
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urllib3==2.1.0
|
| 828 |
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urwid==2.6.9
|
| 829 |
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urwid_readline==0.14
|
| 830 |
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uvicorn==0.25.0
|
| 831 |
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uvloop==0.19.0
|
| 832 |
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vaex-astro==0.9.3
|
| 833 |
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vaex-core==4.17.1
|
| 834 |
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vaex-hdf5==0.14.1
|
| 835 |
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vaex-jupyter==0.8.2
|
| 836 |
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vaex-ml==0.18.3
|
| 837 |
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vaex-server==0.9.0
|
| 838 |
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vaex-viz==0.5.4
|
| 839 |
+
vaex==4.17.0
|
| 840 |
+
vec_noise==1.1.4
|
| 841 |
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vecstack==0.4.0
|
| 842 |
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virtualenv==20.21.0
|
| 843 |
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visions==0.7.5
|
| 844 |
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vowpalwabbit==9.9.0
|
| 845 |
+
vtk==9.3.0
|
| 846 |
+
wandb==0.16.4
|
| 847 |
+
wasabi==1.1.2
|
| 848 |
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watchfiles==0.21.0
|
| 849 |
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wavio==0.0.8
|
| 850 |
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wcwidth==0.2.13
|
| 851 |
+
weasel==0.3.4
|
| 852 |
+
webcolors==1.13
|
| 853 |
+
webencodings==0.5.1
|
| 854 |
+
websocket-client==1.7.0
|
| 855 |
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websockets==12.0
|
| 856 |
+
wfdb==4.1.2
|
| 857 |
+
whatthepatch==1.0.5
|
| 858 |
+
wheel==0.42.0
|
| 859 |
+
widgetsnbextension==3.6.6
|
| 860 |
+
witwidget==1.8.1
|
| 861 |
+
woodwork==0.29.0
|
| 862 |
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wordcloud==1.9.3
|
| 863 |
+
wordsegment==1.3.1
|
| 864 |
+
wrapt==1.14.1
|
| 865 |
+
xarray-einstats==0.7.0
|
| 866 |
+
xarray==2024.2.0
|
| 867 |
+
xgboost==2.0.3
|
| 868 |
+
xvfbwrapper==0.2.9
|
| 869 |
+
xxhash==3.4.1
|
| 870 |
+
xyzservices==2023.10.1
|
| 871 |
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y-py==0.6.2
|
| 872 |
+
yapf==0.40.2
|
| 873 |
+
yarl==1.9.3
|
| 874 |
+
yarl==1.9.4
|
| 875 |
+
ydata-profiling==4.6.4
|
| 876 |
+
yellowbrick==1.5
|
| 877 |
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ypy-websocket==0.8.4
|
| 878 |
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zict==3.0.0
|
| 879 |
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zipp==3.17.0
|
| 880 |
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zstandard==0.22.0
|
wandb/run-20240429_072705-0t7z1bit/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,66 @@
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.133+-x86_64-with-glibc2.31",
|
| 3 |
+
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| 4 |
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| 6 |
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| 7 |
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|
| 8 |
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|
| 9 |
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| 10 |
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| 11 |
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| 12 |
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"root": "/kaggle/working",
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| 13 |
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"host": "be592b10bdc8",
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| 14 |
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"username": "root",
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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"cpu_freq_per_core": [
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| 24 |
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{
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| 25 |
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"current": 2000.132,
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| 26 |
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"min": 0.0,
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| 27 |
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"max": 0.0
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| 28 |
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},
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| 29 |
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{
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| 30 |
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"current": 2000.132,
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| 31 |
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"min": 0.0,
|
| 32 |
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"max": 0.0
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| 33 |
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},
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| 34 |
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{
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| 35 |
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"current": 2000.132,
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| 36 |
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"min": 0.0,
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| 37 |
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"max": 0.0
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| 38 |
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},
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| 39 |
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{
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| 40 |
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"current": 2000.132,
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| 41 |
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"min": 0.0,
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| 42 |
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"max": 0.0
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| 43 |
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}
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| 44 |
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],
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| 45 |
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"disk": {
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| 46 |
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"/": {
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| 47 |
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| 48 |
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| 49 |
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}
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| 50 |
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},
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| 51 |
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"gpu": "Tesla T4",
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| 52 |
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"gpu_count": 2,
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| 53 |
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"gpu_devices": [
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| 54 |
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{
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| 55 |
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"name": "Tesla T4",
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| 56 |
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"memory_total": 16106127360
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| 57 |
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},
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| 58 |
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{
|
| 59 |
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"name": "Tesla T4",
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| 60 |
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"memory_total": 16106127360
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| 61 |
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}
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| 62 |
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],
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| 63 |
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"memory": {
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| 64 |
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"total": 31.357559204101562
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| 65 |
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}
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| 66 |
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}
|
wandb/run-20240429_072705-0t7z1bit/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"train/loss": 0.0002, "train/grad_norm": 0.0017345616361126304, "train/learning_rate": 0.0, "train/epoch": 10.0, "train/global_step": 1890, "_timestamp": 1714379658.2116358, "_runtime": 4032.6411848068237, "_step": 381, "eval/loss": 0.0013308452907949686, "eval/Accuracy": 0.9996693121693122, "eval/F1": 0.9996629468127344, "eval/Precision": 0.9996612466124661, "eval/Recall": 0.999665327978581, "eval/runtime": 9.8512, "eval/samples_per_second": 306.967, "eval/steps_per_second": 9.643, "train/train_runtime": 4024.064, "train/train_samples_per_second": 15.03, "train/train_steps_per_second": 0.47, "train/total_flos": 3854057594526720.0, "train/train_loss": 0.025461199506686103}
|
wandb/run-20240429_072705-0t7z1bit/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
wandb/run-20240429_072705-0t7z1bit/logs/debug.log
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.4
|
| 2 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
|
| 3 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
|
| 4 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
|
| 5 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
| 6 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
| 7 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
| 8 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
|
| 9 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240429_072705-0t7z1bit/logs/debug.log
|
| 10 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240429_072705-0t7z1bit/logs/debug-internal.log
|
| 11 |
+
2024-04-29 07:27:05,564 INFO MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7b7c6cebd510>
|
| 12 |
+
2024-04-29 07:27:05,565 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
|
| 13 |
+
2024-04-29 07:27:05,565 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
| 14 |
+
config: {}
|
| 15 |
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2024-04-29 07:27:05,587 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
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2024-04-29 07:27:06,331 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
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2024-04-29 07:27:37,487 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 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wandb/run-20240429_072705-0t7z1bit/run-0t7z1bit.wandb
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