Task: AmazonReviewsClassification, split: test, language: en. Running...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 40 training sentences...
Batches: 100%|██████████| 2/2 [00:03<00:00, 1.60s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 5000 test sentences...
Batches: 100%|██████████| 157/157 [03:04<00:00, 1.18s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Fitting logistic regression classifier...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Evaluating...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 40 training sentences...
Batches: 100%|██████████| 2/2 [00:02<00:00, 1.39s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 5000 test sentences...
Batches: 100%|██████████| 157/157 [03:04<00:00, 1.18s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Fitting logistic regression classifier...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Evaluating...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 40 training sentences...
Batches: 100%|██████████| 2/2 [00:03<00:00, 1.68s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 5000 test sentences...
Batches: 100%|██████████| 157/157 [03:04<00:00, 1.18s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Fitting logistic regression classifier...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Evaluating...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 40 training sentences...
Batches: 100%|██████████| 2/2 [00:04<00:00, 2.48s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 5000 test sentences...
Batches: 100%|██████████| 157/157 [03:04<00:00, 1.18s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Fitting logistic regression classifier...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Evaluating...
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 40 training sentences...
Batches: 100%|██████████| 2/2 [00:03<00:00, 1.71s/it]
INFO:mteb.evaluation.evaluators.ClassificationEvaluator:Encoding 5000 test sentences...
^ It should be explained in the logs why it seems to be repeating the same thing