Mohamed Boghdady
commited on
Commit
•
070cb8d
1
Parent(s):
dcf45cb
Training in progress, step 500
Browse files- config.json +7 -7
- model.safetensors +2 -2
- runs/Jul19_15-02-56_8df4908137f9/events.out.tfevents.1721401382.8df4908137f9.35.0 +3 -0
- runs/Jul19_15-13-23_8df4908137f9/events.out.tfevents.1721402005.8df4908137f9.35.1 +3 -0
- source.spm +0 -0
- target.spm +0 -0
- tokenizer_config.json +3 -3
- training_args.bin +1 -1
- vocab.json +0 -0
- wandb/debug-internal.log +0 -0
- wandb/debug.log +50 -78
- wandb/run-20240719_150308-wq61zns9/files/conda-environment.yaml +0 -0
- wandb/run-20240719_150308-wq61zns9/files/config.yaml +762 -0
- wandb/run-20240719_150308-wq61zns9/files/output.log +1 -0
- wandb/run-20240719_150308-wq61zns9/files/requirements.txt +875 -0
- wandb/run-20240719_150308-wq61zns9/files/wandb-metadata.json +62 -0
- wandb/run-20240719_150308-wq61zns9/files/wandb-summary.json +1 -0
- wandb/run-20240719_150308-wq61zns9/logs/debug-internal.log +0 -0
- wandb/run-20240719_150308-wq61zns9/logs/debug.log +51 -0
- wandb/run-20240719_150308-wq61zns9/run-wq61zns9.wandb +0 -0
config.json
CHANGED
@@ -1,6 +1,5 @@
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{
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-
"_name_or_path": "Helsinki-NLP/opus-mt-ar
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "swish",
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"add_bias_logits": false,
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"attention_dropout": 0.0,
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"bad_words_ids": [
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[
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-
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]
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],
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"bos_token_id": 0,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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-
"decoder_start_token_id":
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"decoder_vocab_size":
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_token_id": 0,
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"forced_eos_token_id": 0,
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"id2label": {
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"0": "LABEL_0",
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"normalize_embedding": false,
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"num_beams": 4,
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"num_hidden_layers": 6,
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"pad_token_id":
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"scale_embedding": true,
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "Helsinki-NLP/opus-mt-en-ar",
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"activation_dropout": 0.0,
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"activation_function": "swish",
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"add_bias_logits": false,
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"attention_dropout": 0.0,
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"bad_words_ids": [
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[
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62801
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]
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],
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"bos_token_id": 0,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"decoder_start_token_id": 62801,
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"decoder_vocab_size": 62802,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_token_id": 0,
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+
"extra_pos_embeddings": 62802,
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"forced_eos_token_id": 0,
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"id2label": {
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"0": "LABEL_0",
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"normalize_embedding": false,
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"num_beams": 4,
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"num_hidden_layers": 6,
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"pad_token_id": 62801,
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"scale_embedding": true,
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size": 62802
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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version https://git-lfs.github.com/spec/v1
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size 305452744
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runs/Jul19_15-02-56_8df4908137f9/events.out.tfevents.1721401382.8df4908137f9.35.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b86f69a9d3b740a21bc7accc8e044fb1032d0887455b57362e0162bf58cc257c
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size 5736
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runs/Jul19_15-13-23_8df4908137f9/events.out.tfevents.1721402005.8df4908137f9.35.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:831719608f96bdfd1a2ade697615b459616ed5ff6b5dda6759efe01b5e1c56b1
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size 6317
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source.spm
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target.spm
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tokenizer_config.json
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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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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"separate_vocabs": false,
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"source_lang": "
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"sp_model_kwargs": {},
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"target_lang": "
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"tokenizer_class": "MarianTokenizer",
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"unk_token": "<unk>"
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}
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"single_word": false,
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"special": true
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},
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"62801": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"separate_vocabs": false,
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"source_lang": "eng",
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"sp_model_kwargs": {},
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"target_lang": "ara",
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"tokenizer_class": "MarianTokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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size 5304
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version https://git-lfs.github.com/spec/v1
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oid sha256:c995dcf9c25e795bcde0911be7ccea8d5aa3b32de3b0cc2435226569bce9af31
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size 5304
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vocab.json
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wandb/debug-internal.log
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wandb/debug.log
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File "/tmp/ipykernel_35/4032920361.py", line 1, in <module>
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trainer.train()
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File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1923, in train
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return inner_training_loop(
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File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 2196, in _inner_training_loop
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self.control = self.callback_handler.on_train_begin(args, self.state, self.control)
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File "/opt/conda/lib/python3.10/site-packages/transformers/trainer_callback.py", line 461, in on_train_begin
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return self.call_event("on_train_begin", args, state, control)
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File "/opt/conda/lib/python3.10/site-packages/transformers/trainer_callback.py", line 508, in call_event
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result = getattr(callback, event)(
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File "/opt/conda/lib/python3.10/site-packages/transformers/integrations/integration_utils.py", line 842, in on_train_begin
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self.setup(args, state, model, **kwargs)
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File "/opt/conda/lib/python3.10/site-packages/transformers/integrations/integration_utils.py", line 776, in setup
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self._wandb.init(
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File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1195, in init
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wandb._sentry.reraise(e)
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File "/opt/conda/lib/python3.10/site-packages/wandb/analytics/sentry.py", line 155, in reraise
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raise exc.with_traceback(sys.exc_info()[2])
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File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1180, in init
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wi.setup(kwargs)
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File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 300, in setup
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wandb_login._login(
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File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 346, in _login
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wlogin.prompt_api_key()
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File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 273, in prompt_api_key
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key, status = self._prompt_api_key()
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File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 252, in _prompt_api_key
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key = apikey.prompt_api_key(
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File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/apikey.py", line 164, in prompt_api_key
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key = input_callback(api_ask).strip()
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File "/opt/conda/lib/python3.10/site-packages/click/termui.py", line 164, in prompt
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File "/opt/conda/lib/python3.10/site-packages/click/termui.py", line 147, in prompt_func
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raise Abort() from None
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click.exceptions.Abort
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2024-07-19 09:05:32,415 INFO MainThread:35 [wandb_init.py:_jupyter_setup():475] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7a8b8b2dee00>
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Current SDK version is 0.17.4
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Configure stats pid to 35
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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config: {}
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2024-07-19 15:03:25,502 INFO MainThread:35 [wandb_run.py:_config_callback():1382] config_cb None None {'vocab_size': 62802, 'decoder_vocab_size': 62802, 'max_position_embeddings': 512, 'd_model': 512, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'swish', 'init_std': 0.02, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'use_cache': True, 'num_hidden_layers': 6, 'scale_embedding': True, 'share_encoder_decoder_embeddings': True, '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': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 512, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 4, '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': [[62801]], 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': 0, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['MarianMTModel'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1, 'LABEL_2': 2}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 0, 'pad_token_id': 62801, 'eos_token_id': 0, 'sep_token_id': None, 'decoder_start_token_id': 62801, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'Helsinki-NLP/opus-mt-en-ar', 'transformers_version': '4.42.3', 'add_bias_logits': False, 'add_final_layer_norm': False, 'classif_dropout': 0.0, 'classifier_dropout': 0.0, 'extra_pos_embeddings': 62802, 'model_type': 'marian', 'normalize_before': False, 'normalize_embedding': False, 'static_position_embeddings': True, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'epoch', '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': 2e-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': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Jul19_15-02-56_8df4908137f9', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 3, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': True, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, '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, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': None, 'generation_num_beams': None, 'generation_config': None}
|
32 |
+
2024-07-19 15:03:25,508 INFO MainThread:35 [wandb_config.py:__setitem__():151] config set model/num_parameters = 76817408 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ac41ae98400>>
|
33 |
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2024-07-19 15:03:25,508 INFO MainThread:35 [wandb_run.py:_config_callback():1382] config_cb model/num_parameters 76817408 None
|
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2024-07-19 15:12:08,909 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
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2024-07-19 15:12:08,909 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
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2024-07-19 15:13:08,410 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
|
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2024-07-19 15:13:09,248 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
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2024-07-19 15:13:09,248 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
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2024-07-19 15:13:22,988 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
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2024-07-19 15:13:22,990 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
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2024-07-19 15:13:22,990 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
|
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2024-07-19 15:13:23,619 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
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2024-07-19 15:13:23,649 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
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2024-07-19 15:13:23,649 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
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2024-07-19 15:13:24,165 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
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2024-07-19 15:13:24,311 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
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2024-07-19 15:13:24,311 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
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2024-07-19 15:13:24,660 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
|
49 |
+
2024-07-19 15:13:25,433 INFO MainThread:35 [wandb_run.py:_config_callback():1382] config_cb None None {'vocab_size': 62802, 'decoder_vocab_size': 62802, 'max_position_embeddings': 512, 'd_model': 512, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'swish', 'init_std': 0.02, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'use_cache': True, 'num_hidden_layers': 6, 'scale_embedding': True, 'share_encoder_decoder_embeddings': True, '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': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 512, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 4, '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': [[62801]], 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': 0, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['MarianMTModel'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1, 'LABEL_2': 2}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 0, 'pad_token_id': 62801, 'eos_token_id': 0, 'sep_token_id': None, 'decoder_start_token_id': 62801, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'Helsinki-NLP/opus-mt-en-ar', 'transformers_version': '4.42.3', 'add_bias_logits': False, 'add_final_layer_norm': False, 'classif_dropout': 0.0, 'classifier_dropout': 0.0, 'extra_pos_embeddings': 62802, 'model_type': 'marian', 'normalize_before': False, 'normalize_embedding': False, 'static_position_embeddings': True, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'epoch', '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': 2e-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': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Jul19_15-13-23_8df4908137f9', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 3, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': True, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, '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, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': None, 'generation_num_beams': None, 'generation_config': None}
|
50 |
+
2024-07-19 15:13:25,439 INFO MainThread:35 [wandb_config.py:__setitem__():151] config set model/num_parameters = 76817408 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ac41ae98400>>
|
51 |
+
2024-07-19 15:13:25,439 INFO MainThread:35 [wandb_run.py:_config_callback():1382] config_cb model/num_parameters 76817408 None
|
wandb/run-20240719_150308-wq61zns9/files/conda-environment.yaml
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wandb/run-20240719_150308-wq61zns9/files/config.yaml
ADDED
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|
wandb/run-20240719_150308-wq61zns9/files/output.log
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
|
wandb/run-20240719_150308-wq61zns9/files/requirements.txt
ADDED
@@ -0,0 +1,875 @@
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|
|
1 |
+
Babel==2.14.0
|
2 |
+
Boruta==0.3
|
3 |
+
Brotli==1.1.0
|
4 |
+
CVXcanon==0.1.2
|
5 |
+
Cartopy==0.23.0
|
6 |
+
Cython==3.0.8
|
7 |
+
Deprecated==1.2.14
|
8 |
+
Farama-Notifications==0.0.4
|
9 |
+
Flask==3.0.3
|
10 |
+
Geohash==1.0
|
11 |
+
GitPython==3.1.41
|
12 |
+
ImageHash==4.3.1
|
13 |
+
Janome==0.5.0
|
14 |
+
Jinja2==3.1.2
|
15 |
+
LunarCalendar==0.0.9
|
16 |
+
Mako==1.3.5
|
17 |
+
Markdown==3.5.2
|
18 |
+
MarkupSafe==2.1.3
|
19 |
+
MarkupSafe==2.1.5
|
20 |
+
Pillow==9.5.0
|
21 |
+
PuLP==2.8.0
|
22 |
+
PyArabic==0.6.15
|
23 |
+
PyJWT==2.8.0
|
24 |
+
PyMeeus==0.5.12
|
25 |
+
PySocks==1.7.1
|
26 |
+
PyUpSet==0.1.1.post7
|
27 |
+
PyWavelets==1.5.0
|
28 |
+
PyYAML==6.0.1
|
29 |
+
Pygments==2.17.2
|
30 |
+
Pympler==1.1
|
31 |
+
QtPy==2.4.1
|
32 |
+
Rtree==1.2.0
|
33 |
+
SQLAlchemy==2.0.25
|
34 |
+
SecretStorage==3.3.3
|
35 |
+
Send2Trash==1.8.2
|
36 |
+
Shapely==1.8.5.post1
|
37 |
+
Shimmy==1.3.0
|
38 |
+
SimpleITK==2.3.1
|
39 |
+
TPOT==0.12.1
|
40 |
+
Theano-PyMC==1.1.2
|
41 |
+
Theano==1.0.5
|
42 |
+
Wand==0.6.13
|
43 |
+
Werkzeug==3.0.3
|
44 |
+
absl-py==1.4.0
|
45 |
+
accelerate==0.32.1
|
46 |
+
access==1.1.9
|
47 |
+
affine==2.4.0
|
48 |
+
aiobotocore==2.13.1
|
49 |
+
aiofiles==22.1.0
|
50 |
+
aiohttp==3.9.1
|
51 |
+
aioitertools==0.11.0
|
52 |
+
aiorwlock==1.3.0
|
53 |
+
aiosignal==1.3.1
|
54 |
+
aiosqlite==0.19.0
|
55 |
+
albumentations==1.4.0
|
56 |
+
alembic==1.13.2
|
57 |
+
altair==5.3.0
|
58 |
+
annotated-types==0.6.0
|
59 |
+
annotated-types==0.7.0
|
60 |
+
annoy==1.17.3
|
61 |
+
anyio==4.2.0
|
62 |
+
apache-beam==2.46.0
|
63 |
+
aplus==0.11.0
|
64 |
+
appdirs==1.4.4
|
65 |
+
archspec==0.2.3
|
66 |
+
argon2-cffi-bindings==21.2.0
|
67 |
+
argon2-cffi==23.1.0
|
68 |
+
array-record==0.5.0
|
69 |
+
arrow==1.3.0
|
70 |
+
arviz==0.18.0
|
71 |
+
astroid==3.2.2
|
72 |
+
astropy-iers-data==0.2024.7.8.0.31.19
|
73 |
+
astropy==6.1.1
|
74 |
+
asttokens==2.4.1
|
75 |
+
astunparse==1.6.3
|
76 |
+
async-lru==2.0.4
|
77 |
+
async-timeout==4.0.3
|
78 |
+
attrs==23.2.0
|
79 |
+
audioread==3.0.1
|
80 |
+
autopep8==2.0.4
|
81 |
+
backoff==2.2.1
|
82 |
+
bayesian-optimization==1.5.0
|
83 |
+
beatrix_jupyterlab==2023.128.151533
|
84 |
+
beautifulsoup4==4.12.2
|
85 |
+
blake3==0.2.1
|
86 |
+
bleach==6.1.0
|
87 |
+
blessed==1.20.0
|
88 |
+
blinker==1.8.2
|
89 |
+
blis==0.7.10
|
90 |
+
blosc2==2.7.0
|
91 |
+
bokeh==3.4.2
|
92 |
+
boltons==23.1.1
|
93 |
+
boto3==1.26.100
|
94 |
+
botocore==1.34.131
|
95 |
+
bq_helper==0.4.1
|
96 |
+
bqplot==0.12.43
|
97 |
+
branca==0.7.2
|
98 |
+
brewer2mpl==1.4.1
|
99 |
+
brotlipy==0.7.0
|
100 |
+
cached-property==1.5.2
|
101 |
+
cachetools==4.2.4
|
102 |
+
cachetools==5.3.2
|
103 |
+
catalogue==2.0.10
|
104 |
+
catalyst==22.4
|
105 |
+
catboost==1.2.5
|
106 |
+
category-encoders==2.6.3
|
107 |
+
certifi==2024.7.4
|
108 |
+
cesium==0.12.1
|
109 |
+
cffi==1.16.0
|
110 |
+
charset-normalizer==3.3.2
|
111 |
+
chex==0.1.86
|
112 |
+
cleverhans==4.0.0
|
113 |
+
click-plugins==1.1.1
|
114 |
+
click==8.1.7
|
115 |
+
cligj==0.7.2
|
116 |
+
cloud-tpu-client==0.10
|
117 |
+
cloud-tpu-profiler==2.4.0
|
118 |
+
cloudpathlib==0.18.1
|
119 |
+
cloudpickle==2.2.1
|
120 |
+
cloudpickle==3.0.0
|
121 |
+
cmdstanpy==1.2.4
|
122 |
+
colorama==0.4.6
|
123 |
+
colorcet==3.1.0
|
124 |
+
colorful==0.5.6
|
125 |
+
colorlog==6.8.2
|
126 |
+
colorlover==0.3.0
|
127 |
+
comm==0.2.1
|
128 |
+
conda-libmamba-solver==23.12.0
|
129 |
+
conda-package-handling==2.2.0
|
130 |
+
conda==24.5.0
|
131 |
+
conda_package_streaming==0.9.0
|
132 |
+
confection==0.1.4
|
133 |
+
contextily==1.6.0
|
134 |
+
contourpy==1.2.0
|
135 |
+
contourpy==1.2.1
|
136 |
+
convertdate==2.4.0
|
137 |
+
crcmod==1.7
|
138 |
+
cryptography==41.0.7
|
139 |
+
cuda-python==12.5.0
|
140 |
+
cudf==24.6.1
|
141 |
+
cufflinks==0.17.3
|
142 |
+
cuml==24.6.1
|
143 |
+
cupy==13.2.0
|
144 |
+
cycler==0.12.1
|
145 |
+
cymem==2.0.8
|
146 |
+
cytoolz==0.12.3
|
147 |
+
daal4py==2024.5.0
|
148 |
+
daal==2024.5.0
|
149 |
+
dacite==1.8.1
|
150 |
+
dask-cuda==24.6.0
|
151 |
+
dask-cudf==24.6.1
|
152 |
+
dask-expr==1.1.7
|
153 |
+
dask==2024.7.0
|
154 |
+
dataclasses-json==0.6.7
|
155 |
+
dataproc_jupyter_plugin==0.1.66
|
156 |
+
datasets==2.20.0
|
157 |
+
datashader==0.16.3
|
158 |
+
datatile==1.0.3
|
159 |
+
db-dtypes==1.2.0
|
160 |
+
deap==1.4.1
|
161 |
+
debugpy==1.8.0
|
162 |
+
decorator==5.1.1
|
163 |
+
deepdiff==7.0.1
|
164 |
+
defusedxml==0.7.1
|
165 |
+
deprecation==2.1.0
|
166 |
+
descartes==1.1.0
|
167 |
+
dill==0.3.8
|
168 |
+
dipy==1.9.0
|
169 |
+
distlib==0.3.8
|
170 |
+
distributed-ucxx==0.38.0
|
171 |
+
distributed==2024.5.1
|
172 |
+
distro==1.9.0
|
173 |
+
dm-tree==0.1.8
|
174 |
+
docker-pycreds==0.4.0
|
175 |
+
docker==7.0.0
|
176 |
+
docopt==0.6.2
|
177 |
+
docstring-parser==0.15
|
178 |
+
docstring-to-markdown==0.15
|
179 |
+
docutils==0.21.2
|
180 |
+
earthengine-api==0.1.410
|
181 |
+
easydict==1.13
|
182 |
+
easyocr==1.7.1
|
183 |
+
ecos==2.0.14
|
184 |
+
eli5==0.13.0
|
185 |
+
emoji==2.12.1
|
186 |
+
en-core-web-lg==3.7.1
|
187 |
+
en-core-web-sm==3.7.1
|
188 |
+
entrypoints==0.4
|
189 |
+
ephem==4.1.5
|
190 |
+
esda==2.5.1
|
191 |
+
essentia==2.1b6.dev1110
|
192 |
+
et-xmlfile==1.1.0
|
193 |
+
etils==1.6.0
|
194 |
+
evaluate==0.4.2
|
195 |
+
exceptiongroup==1.2.0
|
196 |
+
executing==2.0.1
|
197 |
+
explainable-ai-sdk==1.3.3
|
198 |
+
fastai==2.7.15
|
199 |
+
fastapi==0.108.0
|
200 |
+
fastavro==1.9.3
|
201 |
+
fastcore==1.5.49
|
202 |
+
fastdownload==0.0.7
|
203 |
+
fasteners==0.19
|
204 |
+
fastjsonschema==2.19.1
|
205 |
+
fastprogress==1.0.3
|
206 |
+
fastrlock==0.8.2
|
207 |
+
fasttext==0.9.3
|
208 |
+
feather-format==0.4.1
|
209 |
+
featuretools==1.31.0
|
210 |
+
filelock==3.13.1
|
211 |
+
fiona==1.9.6
|
212 |
+
fitter==1.7.1
|
213 |
+
flake8==7.0.0
|
214 |
+
flashtext==2.7
|
215 |
+
flatbuffers==23.5.26
|
216 |
+
flax==0.8.4
|
217 |
+
folium==0.17.0
|
218 |
+
fonttools==4.47.0
|
219 |
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fonttools==4.53.1
|
220 |
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fqdn==1.5.1
|
221 |
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frozendict==2.4.4
|
222 |
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frozenlist==1.4.1
|
223 |
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fsspec==2024.5.0
|
224 |
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fsspec==2024.6.1
|
225 |
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funcy==2.0
|
226 |
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fury==0.10.0
|
227 |
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future==1.0.0
|
228 |
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fuzzywuzzy==0.18.0
|
229 |
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gast==0.5.4
|
230 |
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gatspy==0.3
|
231 |
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gcsfs==2024.5.0
|
232 |
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gensim==4.3.2
|
233 |
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geographiclib==2.0
|
234 |
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geojson==3.1.0
|
235 |
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geopandas==0.14.4
|
236 |
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geoplot==0.5.1
|
237 |
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geopy==2.4.1
|
238 |
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geoviews==1.12.0
|
239 |
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ggplot==0.11.5
|
240 |
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giddy==2.3.5
|
241 |
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gitdb==4.0.11
|
242 |
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google-ai-generativelanguage==0.6.6
|
243 |
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google-api-core==2.11.1
|
244 |
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google-api-core==2.19.1
|
245 |
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google-api-python-client==2.136.0
|
246 |
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google-apitools==0.5.31
|
247 |
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google-auth-httplib2==0.2.0
|
248 |
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google-auth-oauthlib==1.2.0
|
249 |
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google-auth==2.26.1
|
250 |
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google-cloud-aiplatform==0.6.0a1
|
251 |
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google-cloud-artifact-registry==1.10.0
|
252 |
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google-cloud-automl==1.0.1
|
253 |
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google-cloud-bigquery==2.34.4
|
254 |
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google-cloud-bigtable==1.7.3
|
255 |
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google-cloud-core==2.4.1
|
256 |
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google-cloud-datastore==2.19.0
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google-cloud-dlp==3.14.0
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258 |
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google-cloud-jupyter-config==0.0.5
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google-cloud-language==2.13.4
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google-cloud-monitoring==2.18.0
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261 |
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google-cloud-pubsub==2.19.0
|
262 |
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google-cloud-pubsublite==1.9.0
|
263 |
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google-cloud-recommendations-ai==0.7.1
|
264 |
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google-cloud-resource-manager==1.11.0
|
265 |
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google-cloud-spanner==3.40.1
|
266 |
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google-cloud-storage==1.44.0
|
267 |
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google-cloud-translate==3.12.1
|
268 |
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google-cloud-videointelligence==2.13.4
|
269 |
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google-cloud-vision==2.8.0
|
270 |
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google-crc32c==1.5.0
|
271 |
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google-generativeai==0.7.2
|
272 |
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google-pasta==0.2.0
|
273 |
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google-resumable-media==2.7.0
|
274 |
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googleapis-common-protos==1.62.0
|
275 |
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gplearn==0.4.2
|
276 |
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gpustat==1.0.0
|
277 |
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gpxpy==1.6.2
|
278 |
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graphviz==0.20.3
|
279 |
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greenlet==3.0.3
|
280 |
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grpc-google-iam-v1==0.12.7
|
281 |
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grpcio-status==1.48.0
|
282 |
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grpcio-status==1.48.2
|
283 |
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grpcio==1.60.0
|
284 |
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grpcio==1.62.2
|
285 |
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gviz-api==1.10.0
|
286 |
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gym-notices==0.0.8
|
287 |
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gym==0.26.2
|
288 |
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gymnasium==0.29.0
|
289 |
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h11==0.14.0
|
290 |
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h2o==3.46.0.3
|
291 |
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h5netcdf==1.3.0
|
292 |
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h5py==3.10.0
|
293 |
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haversine==2.8.1
|
294 |
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hdfs==2.7.3
|
295 |
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hep-ml==0.7.2
|
296 |
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hijri-converter==2.3.1
|
297 |
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hmmlearn==0.3.2
|
298 |
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holidays==0.24
|
299 |
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holoviews==1.19.1
|
300 |
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hpsklearn==0.1.0
|
301 |
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html5lib==1.1
|
302 |
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htmlmin==0.1.12
|
303 |
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httpcore==1.0.5
|
304 |
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httplib2==0.21.0
|
305 |
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httptools==0.6.1
|
306 |
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httpx==0.27.0
|
307 |
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huggingface-hub==0.23.4
|
308 |
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hunspell==0.5.5
|
309 |
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hydra-slayer==0.5.0
|
310 |
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hyperopt==0.2.7
|
311 |
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hypertools==0.8.0
|
312 |
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idna==3.6
|
313 |
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igraph==0.11.6
|
314 |
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imagecodecs==2024.6.1
|
315 |
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imageio==2.33.1
|
316 |
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imbalanced-learn==0.12.3
|
317 |
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imgaug==0.4.0
|
318 |
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importlib-metadata==6.11.0
|
319 |
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importlib-metadata==7.0.1
|
320 |
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importlib-resources==6.1.1
|
321 |
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inequality==1.0.1
|
322 |
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iniconfig==2.0.0
|
323 |
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ipydatawidgets==4.3.5
|
324 |
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ipykernel==6.28.0
|
325 |
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ipyleaflet==0.19.1
|
326 |
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ipympl==0.7.0
|
327 |
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ipython-genutils==0.2.0
|
328 |
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ipython-genutils==0.2.0
|
329 |
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ipython-sql==0.5.0
|
330 |
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ipython==8.20.0
|
331 |
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ipyvolume==0.6.3
|
332 |
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ipyvue==1.11.1
|
333 |
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ipyvuetify==1.9.4
|
334 |
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ipywebrtc==0.6.0
|
335 |
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ipywidgets==7.7.1
|
336 |
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isoduration==20.11.0
|
337 |
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isort==5.13.2
|
338 |
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isoweek==1.3.3
|
339 |
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itsdangerous==2.2.0
|
340 |
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jaraco.classes==3.3.0
|
341 |
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jax-jumpy==1.0.0
|
342 |
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jax==0.4.26
|
343 |
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jaxlib==0.4.26.dev20240504
|
344 |
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jedi==0.19.1
|
345 |
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jeepney==0.8.0
|
346 |
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jieba==0.42.1
|
347 |
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jmespath==1.0.1
|
348 |
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joblib==1.4.2
|
349 |
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json5==0.9.14
|
350 |
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jsonpatch==1.33
|
351 |
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jsonpointer==2.4
|
352 |
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jsonschema-specifications==2023.12.1
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353 |
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jsonschema==4.20.0
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354 |
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jupyter-console==6.6.3
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jupyter-events==0.9.0
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jupyter-http-over-ws==0.0.8
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jupyter-leaflet==0.19.1
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jupyter-lsp==1.5.1
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359 |
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jupyter-server-mathjax==0.2.6
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jupyter-ydoc==0.2.5
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361 |
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jupyter_client==7.4.9
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362 |
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jupyter_client==8.6.0
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jupyter_core==5.7.1
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364 |
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jupyter_server==2.12.5
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365 |
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jupyter_server_fileid==0.9.1
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jupyter_server_proxy==4.1.0
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367 |
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jupyter_server_terminals==0.5.1
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368 |
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jupyter_server_ydoc==0.8.0
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369 |
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jupyterlab-lsp==5.1.0
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370 |
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jupyterlab-widgets==3.0.9
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371 |
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jupyterlab==4.2.3
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372 |
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jupyterlab_git==0.44.0
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373 |
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jupyterlab_pygments==0.3.0
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374 |
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jupyterlab_server==2.27.2
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375 |
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jupytext==1.16.0
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376 |
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kaggle-environments==1.14.15
|
377 |
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kaggle==1.6.14
|
378 |
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kagglehub==0.2.7
|
379 |
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keras-cv==0.9.0
|
380 |
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keras-nlp==0.14.0
|
381 |
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keras-tuner==1.4.6
|
382 |
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keras==3.4.1
|
383 |
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kernels-mixer==0.0.7
|
384 |
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keyring==24.3.0
|
385 |
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keyrings.google-artifactregistry-auth==1.1.2
|
386 |
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kfp-pipeline-spec==0.2.2
|
387 |
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kfp-server-api==2.0.5
|
388 |
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kfp==2.5.0
|
389 |
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kiwisolver==1.4.5
|
390 |
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kmapper==2.1.0
|
391 |
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kmodes==0.12.2
|
392 |
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korean-lunar-calendar==0.3.1
|
393 |
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kornia==0.7.3
|
394 |
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kornia_rs==0.1.4
|
395 |
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kt-legacy==1.0.5
|
396 |
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kubernetes==26.1.0
|
397 |
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langcodes==3.4.0
|
398 |
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langid==1.1.6
|
399 |
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language_data==1.2.0
|
400 |
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lazy_loader==0.3
|
401 |
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learntools==0.3.4
|
402 |
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leven==1.0.4
|
403 |
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libclang==16.0.6
|
404 |
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libmambapy==1.5.8
|
405 |
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libpysal==4.9.2
|
406 |
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librosa==0.10.2.post1
|
407 |
+
lightgbm==4.2.0
|
408 |
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lightning-utilities==0.11.3.post0
|
409 |
+
lime==0.2.0.1
|
410 |
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line_profiler==4.1.3
|
411 |
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linkify-it-py==2.0.3
|
412 |
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llvmlite==0.41.1
|
413 |
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llvmlite==0.43.0
|
414 |
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lml==0.1.0
|
415 |
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locket==1.0.0
|
416 |
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loguru==0.7.2
|
417 |
+
lxml==5.2.2
|
418 |
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lz4==4.3.3
|
419 |
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mamba==1.5.8
|
420 |
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mapclassify==2.7.0
|
421 |
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marisa-trie==1.1.0
|
422 |
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markdown-it-py==3.0.0
|
423 |
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marshmallow==3.21.3
|
424 |
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matplotlib-inline==0.1.6
|
425 |
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matplotlib-venn==0.11.10
|
426 |
+
matplotlib==3.7.5
|
427 |
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matplotlib==3.8.4
|
428 |
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mccabe==0.7.0
|
429 |
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mdit-py-plugins==0.4.0
|
430 |
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mdurl==0.1.2
|
431 |
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memory-profiler==0.61.0
|
432 |
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menuinst==2.0.1
|
433 |
+
mercantile==1.2.1
|
434 |
+
mgwr==2.2.1
|
435 |
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missingno==0.5.2
|
436 |
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mistune==0.8.4
|
437 |
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mizani==0.11.4
|
438 |
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ml-dtypes==0.2.0
|
439 |
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mlcrate==0.2.0
|
440 |
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mlens==0.2.3
|
441 |
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mlxtend==0.23.1
|
442 |
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mne==1.7.1
|
443 |
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mnist==0.2.2
|
444 |
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momepy==0.7.2
|
445 |
+
more-itertools==10.2.0
|
446 |
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mpld3==0.5.10
|
447 |
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mpmath==1.3.0
|
448 |
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msgpack==1.0.7
|
449 |
+
msgpack==1.0.8
|
450 |
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multidict==6.0.4
|
451 |
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multimethod==1.10
|
452 |
+
multipledispatch==1.0.0
|
453 |
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multiprocess==0.70.16
|
454 |
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munkres==1.1.4
|
455 |
+
murmurhash==1.0.10
|
456 |
+
mypy-extensions==1.0.0
|
457 |
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namex==0.0.8
|
458 |
+
nb-conda-kernels==2.3.1
|
459 |
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nb_conda==2.2.1
|
460 |
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nbclassic==1.0.0
|
461 |
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nbclient==0.5.13
|
462 |
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nbclient==0.9.0
|
463 |
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nbconvert==6.4.5
|
464 |
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nbdime==3.2.0
|
465 |
+
nbformat==5.9.2
|
466 |
+
ndindex==1.8
|
467 |
+
nest-asyncio==1.5.8
|
468 |
+
networkx==3.2.1
|
469 |
+
nibabel==5.2.1
|
470 |
+
nilearn==0.10.4
|
471 |
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ninja==1.11.1.1
|
472 |
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nltk==3.2.4
|
473 |
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nose==1.3.7
|
474 |
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notebook==6.5.4
|
475 |
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notebook==6.5.6
|
476 |
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notebook_executor==0.2
|
477 |
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notebook_shim==0.2.3
|
478 |
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numba==0.58.1
|
479 |
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numba==0.60.0
|
480 |
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numexpr==2.10.1
|
481 |
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numpy==1.26.4
|
482 |
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nvidia-ml-py==11.495.46
|
483 |
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nvtx==0.2.10
|
484 |
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oauth2client==4.1.3
|
485 |
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oauthlib==3.2.2
|
486 |
+
objsize==0.6.1
|
487 |
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odfpy==1.4.1
|
488 |
+
olefile==0.47
|
489 |
+
onnx==1.16.1
|
490 |
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opencensus-context==0.1.3
|
491 |
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opencensus==0.11.4
|
492 |
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opencv-contrib-python==4.10.0.84
|
493 |
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opencv-python-headless==4.10.0.84
|
494 |
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opencv-python==4.10.0.84
|
495 |
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openpyxl==3.1.5
|
496 |
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openslide-python==1.3.1
|
497 |
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opentelemetry-api==1.22.0
|
498 |
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opentelemetry-exporter-otlp-proto-common==1.22.0
|
499 |
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opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
500 |
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opentelemetry-exporter-otlp-proto-http==1.22.0
|
501 |
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opentelemetry-exporter-otlp==1.22.0
|
502 |
+
opentelemetry-proto==1.22.0
|
503 |
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opentelemetry-sdk==1.22.0
|
504 |
+
opentelemetry-semantic-conventions==0.43b0
|
505 |
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opt-einsum==3.3.0
|
506 |
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optax==0.2.2
|
507 |
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optree==0.12.1
|
508 |
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optuna==3.6.1
|
509 |
+
orbax-checkpoint==0.5.20
|
510 |
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ordered-set==4.1.0
|
511 |
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orjson==3.9.10
|
512 |
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ortools==9.4.1874
|
513 |
+
osmnx==1.9.3
|
514 |
+
overrides==7.4.0
|
515 |
+
packaging==21.3
|
516 |
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pandas-datareader==0.10.0
|
517 |
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pandas-profiling==3.6.6
|
518 |
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pandas-summary==0.2.0
|
519 |
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pandas==2.2.2
|
520 |
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pandasql==0.7.3
|
521 |
+
pandocfilters==1.5.0
|
522 |
+
panel==1.4.4
|
523 |
+
papermill==2.5.0
|
524 |
+
param==2.1.1
|
525 |
+
parso==0.8.3
|
526 |
+
partd==1.4.2
|
527 |
+
path.py==12.5.0
|
528 |
+
path==16.14.0
|
529 |
+
pathos==0.3.2
|
530 |
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patsy==0.5.6
|
531 |
+
pdf2image==1.17.0
|
532 |
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pettingzoo==1.24.0
|
533 |
+
pexpect==4.8.0
|
534 |
+
pexpect==4.9.0
|
535 |
+
phik==0.12.4
|
536 |
+
pickleshare==0.7.5
|
537 |
+
pillow==10.4.0
|
538 |
+
pip==23.3.2
|
539 |
+
pkgutil_resolve_name==1.3.10
|
540 |
+
platformdirs==3.11.0
|
541 |
+
platformdirs==4.1.0
|
542 |
+
plotly-express==0.4.1
|
543 |
+
plotly==5.18.0
|
544 |
+
plotnine==0.13.6
|
545 |
+
pluggy==1.5.0
|
546 |
+
pointpats==2.5.0
|
547 |
+
polars==1.1.0
|
548 |
+
polyglot==16.7.4
|
549 |
+
pooch==1.8.2
|
550 |
+
portalocker==2.10.1
|
551 |
+
pox==0.3.4
|
552 |
+
ppca==0.0.4
|
553 |
+
ppft==1.7.6.8
|
554 |
+
preprocessing==0.1.13
|
555 |
+
preshed==3.0.9
|
556 |
+
prettytable==3.9.0
|
557 |
+
progressbar2==4.4.2
|
558 |
+
prometheus-client==0.19.0
|
559 |
+
promise==2.3
|
560 |
+
prompt-toolkit==3.0.42
|
561 |
+
prompt-toolkit==3.0.43
|
562 |
+
prophet==1.1.1
|
563 |
+
proto-plus==1.23.0
|
564 |
+
protobuf==3.20.3
|
565 |
+
protobuf==4.25.3
|
566 |
+
psutil==5.9.3
|
567 |
+
psutil==5.9.7
|
568 |
+
ptyprocess==0.7.0
|
569 |
+
pudb==2024.1
|
570 |
+
pure-eval==0.2.2
|
571 |
+
py-cpuinfo==9.0.0
|
572 |
+
py-spy==0.3.14
|
573 |
+
py4j==0.10.9.7
|
574 |
+
pyLDAvis==3.4.1
|
575 |
+
pyOpenSSL==23.3.0
|
576 |
+
pyaml==24.4.0
|
577 |
+
pyarrow-hotfix==0.6
|
578 |
+
pyarrow==16.1.0
|
579 |
+
pyasn1-modules==0.3.0
|
580 |
+
pyasn1==0.5.1
|
581 |
+
pybind11==2.13.1
|
582 |
+
pyclipper==1.3.0.post5
|
583 |
+
pycodestyle==2.11.1
|
584 |
+
pycosat==0.6.6
|
585 |
+
pycparser==2.21
|
586 |
+
pycryptodome==3.20.0
|
587 |
+
pyct==0.5.0
|
588 |
+
pycuda==2024.1
|
589 |
+
pydantic==2.5.3
|
590 |
+
pydantic==2.8.2
|
591 |
+
pydantic_core==2.14.6
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592 |
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683 |
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735 |
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737 |
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740 |
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744 |
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745 |
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747 |
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748 |
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tensorboard-plugin-profile==2.15.0
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749 |
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tensorboard==2.15.1
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750 |
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751 |
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752 |
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753 |
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754 |
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755 |
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756 |
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760 |
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761 |
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771 |
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772 |
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785 |
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torchmetrics==1.4.0.post0
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792 |
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804 |
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805 |
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807 |
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812 |
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814 |
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816 |
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unicodedata2==15.1.0
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817 |
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818 |
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820 |
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urwid==2.6.15
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823 |
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urwid_readline==0.14
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uvicorn==0.25.0
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825 |
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vaex-astro==0.9.3
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827 |
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vaex-core==4.17.1
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828 |
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vaex-hdf5==0.14.1
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vaex-jupyter==0.8.2
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830 |
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vaex-ml==0.18.3
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831 |
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vaex-server==0.9.0
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832 |
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vaex-viz==0.5.4
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833 |
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vaex==4.17.0
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834 |
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vec_noise==1.1.4
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835 |
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vecstack==0.4.0
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836 |
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virtualenv==20.21.0
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837 |
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visions==0.7.5
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838 |
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vowpalwabbit==9.9.0
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839 |
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vtk==9.3.1
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840 |
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wandb==0.17.4
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841 |
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wasabi==1.1.2
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842 |
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watchfiles==0.21.0
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843 |
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wavio==0.0.9
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844 |
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wcwidth==0.2.13
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845 |
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weasel==0.4.1
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846 |
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webcolors==1.13
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847 |
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webencodings==0.5.1
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848 |
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websocket-client==1.7.0
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849 |
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websockets==12.0
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850 |
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wfdb==4.1.2
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851 |
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whatthepatch==1.0.5
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852 |
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wheel==0.42.0
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853 |
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widgetsnbextension==3.6.7
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854 |
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witwidget==1.8.1
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855 |
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woodwork==0.31.0
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856 |
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wordcloud==1.9.3
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857 |
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wordsegment==1.3.1
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858 |
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wrapt==1.14.1
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859 |
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wrapt==1.16.0
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860 |
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xarray-einstats==0.7.0
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861 |
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xarray==2024.6.0
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862 |
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xgboost==2.0.3
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863 |
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xvfbwrapper==0.2.9
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864 |
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xxhash==3.4.1
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865 |
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xyzservices==2024.6.0
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866 |
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y-py==0.6.2
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867 |
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yapf==0.40.2
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868 |
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yarl==1.9.3
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869 |
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yarl==1.9.4
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870 |
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ydata-profiling==4.6.4
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871 |
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yellowbrick==1.5
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872 |
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ypy-websocket==0.8.4
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873 |
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zict==3.0.0
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874 |
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zipp==3.17.0
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875 |
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zstandard==0.22.0
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wandb/run-20240719_150308-wq61zns9/files/wandb-metadata.json
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@@ -0,0 +1,62 @@
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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 |
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"os": "Linux-5.15.154+-x86_64-with-glibc2.31",
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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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13 |
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14 |
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15 |
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16 |
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18 |
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20 |
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{
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wandb/run-20240719_150308-wq61zns9/files/wandb-summary.json
ADDED
@@ -0,0 +1 @@
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1 |
+
{"eval/loss": 0.1450444906949997, "eval/bleu": 13.6092, "eval/gen_len": 66.5229, "eval/runtime": 278.1908, "eval/samples_per_second": 4.483, "eval/steps_per_second": 0.28, "train/epoch": 1.6025641025641026, "train/global_step": 500, "_timestamp": 1721402643.8727162, "_runtime": 1255.3338971138, "_step": 1, "train/loss": 0.1446, "train/grad_norm": 0.4473249912261963, "train/learning_rate": 1.6794871794871796e-05}
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wandb/run-20240719_150308-wq61zns9/logs/debug-internal.log
ADDED
The diff for this file is too large to render.
See raw diff
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wandb/run-20240719_150308-wq61zns9/logs/debug.log
ADDED
@@ -0,0 +1,51 @@
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|
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|
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|
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|
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1 |
+
2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Current SDK version is 0.17.4
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2 |
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Configure stats pid to 35
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Applying login settings: {}
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_init.py:_log_setup():529] Logging user logs to /kaggle/working/wandb/run-20240719_150308-wq61zns9/logs/debug.log
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_init.py:_log_setup():530] Logging internal logs to /kaggle/working/wandb/run-20240719_150308-wq61zns9/logs/debug-internal.log
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2024-07-19 15:03:08,533 INFO MainThread:35 [wandb_init.py:_jupyter_setup():475] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7ac420802680>
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2024-07-19 15:03:08,534 INFO MainThread:35 [wandb_init.py:init():569] calling init triggers
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2024-07-19 15:03:08,534 INFO MainThread:35 [wandb_init.py:init():576] wandb.init called with sweep_config: {}
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config: {}
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2024-07-19 15:03:08,534 INFO MainThread:35 [wandb_init.py:init():619] starting backend
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2024-07-19 15:03:08,534 INFO MainThread:35 [wandb_init.py:init():623] setting up manager
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2024-07-19 15:03:08,535 INFO MainThread:35 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-07-19 15:03:08,538 INFO MainThread:35 [wandb_init.py:init():631] backend started and connected
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2024-07-19 15:03:08,550 INFO MainThread:35 [wandb_run.py:_label_probe_notebook():1334] probe notebook
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2024-07-19 15:03:09,072 INFO MainThread:35 [wandb_init.py:init():720] updated telemetry
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2024-07-19 15:03:09,075 INFO MainThread:35 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
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2024-07-19 15:03:09,407 INFO MainThread:35 [wandb_run.py:_on_init():2402] communicating current version
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2024-07-19 15:03:09,445 INFO MainThread:35 [wandb_run.py:_on_init():2411] got version response
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2024-07-19 15:03:09,445 INFO MainThread:35 [wandb_init.py:init():804] starting run threads in backend
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2024-07-19 15:03:25,491 INFO MainThread:35 [wandb_run.py:_console_start():2380] atexit reg
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2024-07-19 15:03:25,491 INFO MainThread:35 [wandb_run.py:_redirect():2235] redirect: wrap_raw
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2024-07-19 15:03:25,491 INFO MainThread:35 [wandb_run.py:_redirect():2300] Wrapping output streams.
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2024-07-19 15:03:25,492 INFO MainThread:35 [wandb_run.py:_redirect():2325] Redirects installed.
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2024-07-19 15:03:25,496 INFO MainThread:35 [wandb_init.py:init():847] run started, returning control to user process
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2024-07-19 15:03:25,502 INFO MainThread:35 [wandb_run.py:_config_callback():1382] config_cb None None {'vocab_size': 62802, 'decoder_vocab_size': 62802, 'max_position_embeddings': 512, 'd_model': 512, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'swish', 'init_std': 0.02, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'use_cache': True, 'num_hidden_layers': 6, 'scale_embedding': True, 'share_encoder_decoder_embeddings': True, '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': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 512, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 4, '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': [[62801]], 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': 0, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['MarianMTModel'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1, 'LABEL_2': 2}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 0, 'pad_token_id': 62801, 'eos_token_id': 0, 'sep_token_id': None, 'decoder_start_token_id': 62801, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'Helsinki-NLP/opus-mt-en-ar', 'transformers_version': '4.42.3', 'add_bias_logits': False, 'add_final_layer_norm': False, 'classif_dropout': 0.0, 'classifier_dropout': 0.0, 'extra_pos_embeddings': 62802, 'model_type': 'marian', 'normalize_before': False, 'normalize_embedding': False, 'static_position_embeddings': True, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'epoch', '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': 2e-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': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Jul19_15-02-56_8df4908137f9', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 3, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': True, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, '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, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': None, 'generation_num_beams': None, 'generation_config': None}
|
32 |
+
2024-07-19 15:03:25,508 INFO MainThread:35 [wandb_config.py:__setitem__():151] config set model/num_parameters = 76817408 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ac41ae98400>>
|
33 |
+
2024-07-19 15:03:25,508 INFO MainThread:35 [wandb_run.py:_config_callback():1382] config_cb model/num_parameters 76817408 None
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34 |
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2024-07-19 15:12:08,909 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
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35 |
+
2024-07-19 15:12:08,909 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
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36 |
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2024-07-19 15:13:08,410 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
|
37 |
+
2024-07-19 15:13:09,248 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
|
38 |
+
2024-07-19 15:13:09,248 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
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2024-07-19 15:13:22,988 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
|
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+
2024-07-19 15:13:22,990 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
|
41 |
+
2024-07-19 15:13:22,990 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
|
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+
2024-07-19 15:13:23,619 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
|
43 |
+
2024-07-19 15:13:23,649 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
|
44 |
+
2024-07-19 15:13:23,649 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
|
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+
2024-07-19 15:13:24,165 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
|
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+
2024-07-19 15:13:24,311 INFO MainThread:35 [jupyter.py:save_ipynb():372] not saving jupyter notebook
|
47 |
+
2024-07-19 15:13:24,311 INFO MainThread:35 [wandb_init.py:_pause_backend():440] pausing backend
|
48 |
+
2024-07-19 15:13:24,660 INFO MainThread:35 [wandb_init.py:_resume_backend():445] resuming backend
|
49 |
+
2024-07-19 15:13:25,433 INFO MainThread:35 [wandb_run.py:_config_callback():1382] config_cb None None {'vocab_size': 62802, 'decoder_vocab_size': 62802, 'max_position_embeddings': 512, 'd_model': 512, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'swish', 'init_std': 0.02, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'use_cache': True, 'num_hidden_layers': 6, 'scale_embedding': True, 'share_encoder_decoder_embeddings': True, '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': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 512, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 4, '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': [[62801]], 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': 0, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['MarianMTModel'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1, 'LABEL_2': 2}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 0, 'pad_token_id': 62801, 'eos_token_id': 0, 'sep_token_id': None, 'decoder_start_token_id': 62801, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'Helsinki-NLP/opus-mt-en-ar', 'transformers_version': '4.42.3', 'add_bias_logits': False, 'add_final_layer_norm': False, 'classif_dropout': 0.0, 'classifier_dropout': 0.0, 'extra_pos_embeddings': 62802, 'model_type': 'marian', 'normalize_before': False, 'normalize_embedding': False, 'static_position_embeddings': True, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'epoch', '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': 2e-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': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Jul19_15-13-23_8df4908137f9', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 3, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': True, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, '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, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': None, 'generation_num_beams': None, 'generation_config': None}
|
50 |
+
2024-07-19 15:13:25,439 INFO MainThread:35 [wandb_config.py:__setitem__():151] config set model/num_parameters = 76817408 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ac41ae98400>>
|
51 |
+
2024-07-19 15:13:25,439 INFO MainThread:35 [wandb_run.py:_config_callback():1382] config_cb model/num_parameters 76817408 None
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wandb/run-20240719_150308-wq61zns9/run-wq61zns9.wandb
ADDED
Binary file (40.4 kB). View file
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