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nohup: ignoring input
INFO:seb.cli.run:Model registered in SEB. Loading from registry.
Running Benchmark: 0%| | 0/1 [00:00<?, ?it/s]Running TTC-L2V-supervised-da-1: 0%| | 0/1 [00:00<?, ?it/s]
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Running TTC-L2V-supervised-da-1 on Angry Tweets: 0%| | 0/24 [00:00<?, ?it/s][AINFO:mteb.abstasks.AbsTaskClassification:
Task: AngryTweetsClassification, split: test. Running...
INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 1/10 ==========
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 48 training sentences...
INFO:seb.registered_models.llm2vec_models:Started loading LLM2Vec model
/home/lenovo/alkestrup/venv/lib/python3.10/site-packages/huggingface_hub/file_download.py:797: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
warnings.warn(
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
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INFO:peft.tuners.tuners_utils:Already found a `peft_config` attribute in the model. This will lead to having multiple adapters in the model. Make sure to know what you are doing!
INFO:peft.tuners.tuners_utils:Already found a `peft_config` attribute in the model. This will lead to having multiple adapters in the model. Make sure to know what you are doing!
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INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 2/10 ==========
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INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 3/10 ==========
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INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 4/10 ==========
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INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 5/10 ==========
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INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Evaluating...
INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 6/10 ==========
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INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 7/10 ==========
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INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 8/10 ==========
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INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Evaluating...
INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 9/10 ==========
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INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Evaluating...
INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 10/10 ==========
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 48 training sentences...
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INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 1047 test sentences...
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INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Evaluating...
Running TTC-L2V-supervised-da-1 on Angry Tweets: 4%|▍ | 1/24 [00:50<19:31, 50.94s/it][A
Running TTC-L2V-supervised-da-1 on LCC: 4%|▍ | 1/24 [00:50<19:31, 50.94s/it] [A
Running TTC-L2V-supervised-da-1 on Bornholm Parallel: 4%|▍ | 1/24 [00:50<19:31, 50.94s/it][A/home/lenovo/alkestrup/venv/lib/python3.10/site-packages/datasets/load.py:1491: FutureWarning: The repository for strombergnlp/bornholmsk_parallel contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/strombergnlp/bornholmsk_parallel
You can avoid this message in future by passing the argument `trust_remote_code=True`.
Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
warnings.warn(
INFO:mteb.abstasks.AbsTaskBitextMining:
Task: BornholmBitextMining, split: test. Running...
INFO:mteb.evaluation.evaluators.BitextMiningEvaluator:Encoding 988 sentences...
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INFO:mteb.evaluation.evaluators.BitextMiningEvaluator:Finding nearest neighbors...
INFO:mteb.evaluation.evaluators.BitextMiningEvaluator:Computing metrics...
/home/lenovo/alkestrup/venv/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
_warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
Running TTC-L2V-supervised-da-1 on Bornholm Parallel: 12%|█▎ | 3/24 [01:02<06:04, 17.36s/it][A
Running TTC-L2V-supervised-da-1 on DKHate: 12%|█▎ | 3/24 [01:02<06:04, 17.36s/it] [A
Running TTC-L2V-supervised-da-1 on Da Political Comments: 12%|█▎ | 3/24 [01:02<06:04, 17.36s/it][A/home/lenovo/alkestrup/venv/lib/python3.10/site-packages/datasets/load.py:1491: FutureWarning: The repository for danish_political_comments contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/danish_political_comments
You can avoid this message in future by passing the argument `trust_remote_code=True`.
Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
warnings.warn(
INFO:mteb.abstasks.AbsTaskClassification:
Task: DanishPoliticalCommentsClassification, split: test. Running...
INFO:mteb.abstasks.AbsTaskClassification:========== Experiment 1/10 ==========
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 80 training sentences...
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INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 1802 test sentences...
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