model_path string | model string | revision string | step string | is_checkpoint bool | task string | parent_task string | num_fewshot int32 | eval_suite string | metric string | score float64 | eval_config string | task_config string | eval_config_source string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_bg | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24232 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_bg --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "bg", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_cs | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.25939 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_cs --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "cs", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_da | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.23635 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_da --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "da", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_de | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.22696 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_de --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "de", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_el | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24488 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_el --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "el", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_es | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.23635 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_es --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "es", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_et | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.23464 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_et --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "et", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_fi | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24829 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_fi --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "fi", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_fr | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.23891 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_fr --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "fr", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_hu | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.27304 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_hu --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "hu", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_is | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24829 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_is --num_fewshot 0 --batch_size auto --trus... | {"dataset_path": "mideind/icelandic-arc-challenge", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_to_choice": "{{c... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_it | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24829 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_it --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "it", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_lt | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24317 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_lt --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "lt", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_lv | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24829 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_lv --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "lv", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_nb | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.23208 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_nb --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "nb", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_nl | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.23208 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_nl --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "nl", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_pl | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24317 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_pl --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "pl", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_pt | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.23635 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_pt --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "pt", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_ro | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24573 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_ro --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "ro", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_sk | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.24488 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_sk --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "sk", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_sl | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.2227 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_sl --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "sl", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | arc_challenge_mt_sv | ARC Challenge_mt | 0 | lm-eval-harness | acc_norm | 0.23549 | {"batch_size": "auto", "batch_sizes": [64], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks arc_challenge_mt_sv --num_fewshot 0 --batch_size auto --trus... | {"dataset_name": "sv", "dataset_path": "LumiOpen/arc_challenge_mt", "description": "", "doc_to_choice": "{{choices.text}}", "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_config": {"doc_... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_bul_Cyrl | BeleBele | 5 | lm-eval-harness | acc | 0.28 | {"batch_size": "auto", "batch_sizes": [17], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_bul_Cyrl --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "bul_Cyrl", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_ces_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.26667 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_ces_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "ces_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_dan_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.28 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_dan_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "dan_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_deu_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.26444 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_deu_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "deu_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_ell_Grek | BeleBele | 5 | lm-eval-harness | acc | 0.25556 | {"batch_size": "auto", "batch_sizes": [13], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_ell_Grek --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "ell_Grek", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_eng_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.27 | {"batch_size": "auto", "batch_sizes": [25], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_eng_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "eng_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_est_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.23778 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_est_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "est_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_fin_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.27222 | {"batch_size": "auto", "batch_sizes": [17], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_fin_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "fin_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_fra_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.28 | {"batch_size": "auto", "batch_sizes": [15], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_fra_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "fra_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_hrv_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.29 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_hrv_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "hrv_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_hun_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.24778 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_hun_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "hun_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_ita_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.27 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_ita_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "ita_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_lit_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.25444 | {"batch_size": "auto", "batch_sizes": [22], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_lit_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "lit_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_lvs_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.28222 | {"batch_size": "auto", "batch_sizes": [11], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_lvs_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "lvs_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_mlt_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.26778 | {"batch_size": "auto", "batch_sizes": [17], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_mlt_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "mlt_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_nld_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.23444 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_nld_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "nld_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_nob_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.27333 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_nob_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "nob_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_pol_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.24556 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_pol_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "pol_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_por_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.26667 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_por_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "por_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_ron_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.23556 | {"batch_size": "auto", "batch_sizes": [17], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_ron_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "ron_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_slk_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.27889 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_slk_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "slk_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_slv_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.28 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_slv_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "slv_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_spa_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.24111 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_spa_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "spa_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | belebele_swe_Latn | BeleBele | 5 | lm-eval-harness | acc | 0.27556 | {"batch_size": "auto", "batch_sizes": [19], "bootstrap_iters": 100000, "chat_template": null, "command": "python -m lm_eval --model hf --model_args pretrained=openeurollm/prelude-checkpoints,revision=iter_0002400,max_length=4096,trust_remote_code=True --tasks belebele_swe_Latn --num_fewshot 5 --batch_size auto --trust_... | {"dataset_name": "swe_Latn", "dataset_path": "facebook/belebele", "description": "", "doc_to_choice": ["A", "B", "C", "D"], "doc_to_decontamination_query": "{{question}}", "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answe... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:bul_Cyrl-eng_Latn | Flores-200 | 0 | lighteval | chrf++ | 1.7554 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:bul_Cyrl-eng_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "bul_Cyrl-eng_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:ces_Latn-eng_Latn | Flores-200 | 0 | lighteval | chrf++ | 3.1252 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:ces_Latn-eng_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "ces_Latn-eng_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:dan_Latn-eng_Latn | Flores-200 | 0 | lighteval | chrf++ | 10.168 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:dan_Latn-eng_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "dan_Latn-eng_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:deu_Latn-eng_Latn | Flores-200 | 0 | lighteval | chrf++ | 10.583 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:deu_Latn-eng_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "deu_Latn-eng_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:ell_Grek-eng_Latn | Flores-200 | 0 | lighteval | chrf++ | 1.0846 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:ell_Grek-eng_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "ell_Grek-eng_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:eng_Latn-bul_Cyrl | Flores-200 | 0 | lighteval | chrf++ | 5.0252 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:eng_Latn-bul_Cyrl|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "eng_Latn-bul_Cyr... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:eng_Latn-ces_Latn | Flores-200 | 0 | lighteval | chrf++ | 20.078 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:eng_Latn-ces_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "eng_Latn-ces_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:eng_Latn-dan_Latn | Flores-200 | 0 | lighteval | chrf++ | 22.535 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:eng_Latn-dan_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "eng_Latn-dan_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:eng_Latn-deu_Latn | Flores-200 | 0 | lighteval | chrf++ | 11.364 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:eng_Latn-deu_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "eng_Latn-deu_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:eng_Latn-ell_Grek | Flores-200 | 0 | lighteval | chrf++ | 7.8559 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:eng_Latn-ell_Grek|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "eng_Latn-ell_Gre... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:eng_Latn-est_Latn | Flores-200 | 0 | lighteval | chrf++ | 8.443 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:eng_Latn-est_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "eng_Latn-est_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:eng_Latn-fin_Latn | Flores-200 | 0 | lighteval | chrf++ | 16.42 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:eng_Latn-fin_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "eng_Latn-fin_Lat... | results_json |
openeurollm/prelude-checkpoints,revision=iter_0002400 | openeurollm/prelude-checkpoints | iter_0002400 | iter_0002400 | true | flores200:eng_Latn-fra_Latn | Flores-200 | 0 | lighteval | chrf++ | 9.9742 | {"add_special_tokens": true, "batch_size": 32, "command": "lighteval accelerate \"model_name=openeurollm/prelude-checkpoints,revision=iter_0002400,trust_remote_code=True,batch_size=32\" \"flores200:eng_Latn-fra_Latn|0\" --load-tasks-multilingual --output-dir <output-dir>", "container": "eval_env-lumi.sif", "device": "c... | {"effective_num_docs": -1, "evaluation_splits": ["devtest"], "few_shots_select": null, "few_shots_split": "dev", "filter": null, "generation_grammar": null, "generation_size": 300, "hf_avail_splits": ["dev", "devtest"], "hf_filter": null, "hf_repo": "facebook/flores", "hf_revision": null, "hf_subset": "eng_Latn-fra_Lat... | results_json |
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