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Unverified Commit 546fd5cd authored by Lintang Sutawika's avatar Lintang Sutawika Committed by GitHub
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Merge pull request #686 from EleutherAI/cleanup 

[Refactor] Cleanup for `big-refactor`
parents 465c695b 540d468e
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lm_eval/tasks/lambada/lambada_standard.yaml
View file @ 546fd5cd
...@@ -8,7 +8,6 @@ dataset_name: null ...@@ -8,7 +8,6 @@ dataset_name: null
output_type: loglikelihood output_type: loglikelihood
validation_split: validation validation_split: validation
test_split: test test_split: test
template_aliases: ""
doc_to_text: "{{text.split(' ')[:-1]|join(' ')}}" doc_to_text: "{{text.split(' ')[:-1]|join(' ')}}"
doc_to_target: "{{' '+text.split(' ')[-1]}}" doc_to_target: "{{' '+text.split(' ')[-1]}}"
should_decontaminate: true should_decontaminate: true
......
lm_eval/tasks/lambada_cloze/lambada_openai_cloze.yaml
View file @ 546fd5cd
...@@ -6,7 +6,6 @@ dataset_path: EleutherAI/lambada_openai ...@@ -6,7 +6,6 @@ dataset_path: EleutherAI/lambada_openai
dataset_name: default dataset_name: default
output_type: loglikelihood output_type: loglikelihood
test_split: test test_split: test
template_aliases: ""
doc_to_text: "{{text.split(' ')[:-1]|join(' ')}} ____. ->" doc_to_text: "{{text.split(' ')[:-1]|join(' ')}} ____. ->"
doc_to_target: "{{' '+text.split(' ')[-1]}}" doc_to_target: "{{' '+text.split(' ')[-1]}}"
should_decontaminate: true should_decontaminate: true
......
lm_eval/tasks/lambada_cloze/lambada_standard_cloze.yaml
View file @ 546fd5cd
...@@ -7,7 +7,6 @@ dataset_name: null ...@@ -7,7 +7,6 @@ dataset_name: null
output_type: loglikelihood output_type: loglikelihood
validation_split: validation validation_split: validation
test_split: test test_split: test
template_aliases: ""
doc_to_text: "{{text.split(' ')[:-1]|join(' ')}} ____. ->" doc_to_text: "{{text.split(' ')[:-1]|join(' ')}} ____. ->"
doc_to_target: "{{' '+text.split(' ')[-1]}}" doc_to_target: "{{' '+text.split(' ')[-1]}}"
should_decontaminate: true should_decontaminate: true
......
lm_eval/tasks/lambada_multilingual/lambada_mt_en.yaml
View file @ 546fd5cd
...@@ -7,7 +7,6 @@ dataset_path: EleutherAI/lambada_openai ...@@ -7,7 +7,6 @@ dataset_path: EleutherAI/lambada_openai
dataset_name: en dataset_name: en
output_type: loglikelihood output_type: loglikelihood
test_split: test test_split: test
template_aliases: ""
doc_to_text: "{{text.split(' ')[:-1]|join(' ')}}" doc_to_text: "{{text.split(' ')[:-1]|join(' ')}}"
doc_to_target: "{{' '+text.split(' ')[-1]}}" doc_to_target: "{{' '+text.split(' ')[-1]}}"
should_decontaminate: true should_decontaminate: true
......
lm_eval/tasks/pile/pile_arxiv.yaml
View file @ 546fd5cd
...@@ -3,11 +3,10 @@ group: ...@@ -3,11 +3,10 @@ group:
- perplexity - perplexity
- loglikelihood_rolling - loglikelihood_rolling
task: pile_arxiv task: pile_arxiv
dataset_path: EleutherAI/the_pile dataset_path: EleutherAI/pile
dataset_name: pile_arxiv dataset_name: pile_arxiv
output_type: loglikelihood_rolling output_type: loglikelihood_rolling
test_split: train test_split: train
template_aliases: ""
doc_to_text: "" doc_to_text: ""
doc_to_target: "{{text}}" doc_to_target: "{{text}}"
should_decontaminate: true should_decontaminate: true
......
lm_eval/tasks/truthfulqa/truthfulqa_mc1.yaml
View file @ 546fd5cd
...@@ -8,7 +8,6 @@ training_split: null ...@@ -8,7 +8,6 @@ training_split: null
validation_split: validation validation_split: validation
test_split: null test_split: null
num_fewshot: 0 num_fewshot: 0
template_aliases: "{% set gold = 0 %}{% set answer_choices = mc1_targets['choices'] %}" # The first answer is always the correct one
doc_to_text: "\ doc_to_text: "\
{% set prompt_qa = '\ {% set prompt_qa = '\
Q: What is human life expectancy in the United States?\n\ Q: What is human life expectancy in the United States?\n\
...@@ -25,8 +24,8 @@ doc_to_text: "\ ...@@ -25,8 +24,8 @@ doc_to_text: "\
A: The 1992 Olympics were held in Barcelona, Spain.\ A: The 1992 Olympics were held in Barcelona, Spain.\
'%}\ '%}\
{{prompt_qa + '\n\nQ: ' + question + '\nA:'}}" {{prompt_qa + '\n\nQ: ' + question + '\nA:'}}"
doc_to_target: "{{answer_choices[gold]}}" doc_to_target: 0
gold_alias: "{{gold}}" doc_to_choice: "{{mc1_targets.choices}}"
should_decontaminate: True should_decontaminate: True
doc_to_decontamination_query: question doc_to_decontamination_query: question
metric_list: metric_list:
......
lm_eval/tasks/wikitext/wikitext.yaml
View file @ 546fd5cd
...@@ -8,7 +8,6 @@ output_type: loglikelihood_rolling ...@@ -8,7 +8,6 @@ output_type: loglikelihood_rolling
training_split: train training_split: train
validation_split: validation validation_split: validation
test_split: test test_split: test
template_aliases: ""
doc_to_text: "" doc_to_text: ""
doc_to_target: !function preprocess_wikitext.wikitext_detokenizer doc_to_target: !function preprocess_wikitext.wikitext_detokenizer
should_decontaminate: true should_decontaminate: true
......
results/bloom/bloom-1b1/README.md deleted 100644 → 0
View file @ 465c695b
# bloom-1b1
## bloom-1b1_common_sense_reasoning_0-shot.json
| Task |Version| Metric |Value| |Stderr|
|-------------|------:|--------|----:|---|-----:|
|arc_challenge| 0|acc |23.63|± | 1.24|
| | |acc_norm|25.68|± | 1.28|
|arc_easy | 0|acc |51.47|± | 1.03|
| | |acc_norm|45.45|± | 1.02|
|boolq | 1|acc |59.08|± | 0.86|
|copa | 0|acc |68.00|± | 4.69|
|hellaswag | 0|acc |34.63|± | 0.47|
| | |acc_norm|41.77|± | 0.49|
|mc_taco | 0|em |14.49| | |
| | |f1 |32.43| | |
|openbookqa | 0|acc |19.60|± | 1.78|
| | |acc_norm|29.40|± | 2.04|
|piqa | 0|acc |67.14|± | 1.10|
| | |acc_norm|67.14|± | 1.10|
|prost | 0|acc |23.41|± | 0.31|
| | |acc_norm|30.50|± | 0.34|
|swag | 0|acc |43.43|± | 0.35|
| | |acc_norm|58.28|± | 0.35|
|winogrande | 0|acc |54.93|± | 1.40|
|wsc273 | 0|acc |68.50|± | 2.82|
## bloom-1b1_gsm8k_8-shot.json
|Task |Version|Metric|Value| |Stderr|
|-----|------:|------|----:|---|-----:|
|gsm8k| 0|acc | 0.83|± | 0.25|
## bloom-1b1_mathematical_reasoning_few_shot_5-shot.json
| Task |Version| Metric |Value| |Stderr|
|-------------------------|------:|--------|----:|---|-----:|
|drop | 1|em | 1.38|± | 0.12|
| | |f1 | 4.01|± | 0.15|
|gsm8k | 0|acc | 0.00|± | 0.00|
|math_algebra | 1|acc | 0.00|± | 0.00|
|math_counting_and_prob | 1|acc | 0.21|± | 0.21|
|math_geometry | 1|acc | 0.21|± | 0.21|
|math_intermediate_algebra| 1|acc | 0.00|± | 0.00|
|math_num_theory | 1|acc | 0.19|± | 0.19|
|math_prealgebra | 1|acc | 0.11|± | 0.11|
|math_precalc | 1|acc | 0.00|± | 0.00|
|mathqa | 0|acc |23.55|± | 0.78|
| | |acc_norm|23.62|± | 0.78|
## bloom-1b1_pawsx_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|--------|------:|------|----:|---|-----:|
|pawsx_de| 0|acc |46.95|± | 1.12|
|pawsx_en| 0|acc |52.45|± | 1.12|
|pawsx_es| 0|acc |51.50|± | 1.12|
|pawsx_fr| 0|acc |46.15|± | 1.11|
|pawsx_ja| 0|acc |48.40|± | 1.12|
|pawsx_ko| 0|acc |49.90|± | 1.12|
|pawsx_zh| 0|acc |48.95|± | 1.12|
## bloom-1b1_question_answering_0-shot.json
| Task |Version| Metric |Value| |Stderr|
|-------------|------:|------------|----:|---|-----:|
|headqa_en | 0|acc |26.44|± | 0.84|
| | |acc_norm |30.49|± | 0.88|
|headqa_es | 0|acc |24.43|± | 0.82|
| | |acc_norm |28.30|± | 0.86|
|logiqa | 0|acc |18.89|± | 1.54|
| | |acc_norm |25.65|± | 1.71|
|squad2 | 1|exact | 4.17| | |
| | |f1 | 6.60| | |
| | |HasAns_exact| 2.19| | |
| | |HasAns_f1 | 7.05| | |
| | |NoAns_exact | 6.14| | |
| | |NoAns_f1 | 6.14| | |
| | |best_exact |50.07| | |
| | |best_f1 |50.07| | |
|triviaqa | 1|acc | 2.68|± | 0.15|
|truthfulqa_mc| 1|mc1 |25.34|± | 1.52|
| | |mc2 |41.80|± | 1.46|
|webqs | 0|acc | 1.38|± | 0.26|
## bloom-1b1_reading_comprehension_0-shot.json
|Task|Version|Metric|Value| |Stderr|
|----|------:|------|----:|---|-----:|
|coqa| 1|f1 |45.57|± | 1.88|
| | |em |32.98|± | 1.95|
|drop| 1|em | 3.31|± | 0.18|
| | |f1 | 8.63|± | 0.22|
|race| 1|acc |32.63|± | 1.45|
## bloom-1b1_xcopa_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|--------|------:|------|----:|---|-----:|
|xcopa_et| 0|acc | 50.6|± | 2.24|
|xcopa_ht| 0|acc | 53.0|± | 2.23|
|xcopa_id| 0|acc | 64.8|± | 2.14|
|xcopa_it| 0|acc | 50.8|± | 2.24|
|xcopa_qu| 0|acc | 51.2|± | 2.24|
|xcopa_sw| 0|acc | 54.4|± | 2.23|
|xcopa_ta| 0|acc | 57.0|± | 2.22|
|xcopa_th| 0|acc | 53.2|± | 2.23|
|xcopa_tr| 0|acc | 53.0|± | 2.23|
|xcopa_vi| 0|acc | 62.4|± | 2.17|
|xcopa_zh| 0|acc | 59.4|± | 2.20|
## bloom-1b1_xnli_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|-------|------:|------|----:|---|-----:|
|xnli_ar| 0|acc |33.93|± | 0.67|
|xnli_bg| 0|acc |34.13|± | 0.67|
|xnli_de| 0|acc |39.64|± | 0.69|
|xnli_el| 0|acc |34.03|± | 0.67|
|xnli_en| 0|acc |51.48|± | 0.71|
|xnli_es| 0|acc |47.98|± | 0.71|
|xnli_fr| 0|acc |47.15|± | 0.71|
|xnli_hi| 0|acc |42.32|± | 0.70|
|xnli_ru| 0|acc |40.46|± | 0.69|
|xnli_sw| 0|acc |35.29|± | 0.68|
|xnli_th| 0|acc |33.75|± | 0.67|
|xnli_tr| 0|acc |34.79|± | 0.67|
|xnli_ur| 0|acc |37.33|± | 0.68|
|xnli_vi| 0|acc |44.45|± | 0.70|
|xnli_zh| 0|acc |36.23|± | 0.68|
## bloom-1b1_xstory_cloze_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|---------------|------:|------|----:|---|-----:|
|xstory_cloze_ar| 0|acc |52.88|± | 1.28|
|xstory_cloze_en| 0|acc |62.54|± | 1.25|
|xstory_cloze_es| 0|acc |58.31|± | 1.27|
|xstory_cloze_eu| 0|acc |54.33|± | 1.28|
|xstory_cloze_hi| 0|acc |55.53|± | 1.28|
|xstory_cloze_id| 0|acc |57.91|± | 1.27|
|xstory_cloze_my| 0|acc |46.19|± | 1.28|
|xstory_cloze_ru| 0|acc |48.25|± | 1.29|
|xstory_cloze_sw| 0|acc |50.56|± | 1.29|
|xstory_cloze_te| 0|acc |56.39|± | 1.28|
|xstory_cloze_zh| 0|acc |58.04|± | 1.27|
## bloom-1b1_xwinograd_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|------------|------:|------|----:|---|-----:|
|xwinograd_en| 0|acc |69.98|± | 0.95|
|xwinograd_fr| 0|acc |66.27|± | 5.22|
|xwinograd_jp| 0|acc |52.87|± | 1.61|
|xwinograd_pt| 0|acc |63.12|± | 2.98|
|xwinograd_ru| 0|acc |54.29|± | 2.81|
|xwinograd_zh| 0|acc |69.25|± | 2.06|
results/bloom/bloom-1b1/bloom-1b1_common_sense_reasoning_0-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
"boolq": {
"acc": 0.5908256880733945,
"acc_stderr": 0.008599563442397352
},
"arc_easy": {
"acc": 0.5147306397306397,
"acc_stderr": 0.010255329977562096,
"acc_norm": 0.45454545454545453,
"acc_norm_stderr": 0.010217299762709435
},
"openbookqa": {
"acc": 0.196,
"acc_stderr": 0.017770751227744862,
"acc_norm": 0.294,
"acc_norm_stderr": 0.020395095484936614
},
"hellaswag": {
"acc": 0.3463453495319657,
"acc_stderr": 0.004748324319714264,
"acc_norm": 0.4177454690300737,
"acc_norm_stderr": 0.004921798492608764
},
"swag": {
"acc": 0.43431970408877335,
"acc_stderr": 0.0035044592489844794,
"acc_norm": 0.5828251524542637,
"acc_norm_stderr": 0.0034862531772295617
},
"arc_challenge": {
"acc": 0.2363481228668942,
"acc_stderr": 0.012414960524301834,
"acc_norm": 0.2568259385665529,
"acc_norm_stderr": 0.0127669237941168
},
"mc_taco": {
"em": 0.1448948948948949,
"f1": 0.32425976796237205
},
"wsc273": {
"acc": 0.684981684981685,
"acc_stderr": 0.028165854394193602
},
"winogrande": {
"acc": 0.5493291239147593,
"acc_stderr": 0.013983928869040239
},
"prost": {
"acc": 0.23409479077711356,
"acc_stderr": 0.003093545711826552,
"acc_norm": 0.3049743808710504,
"acc_norm_stderr": 0.003363606918420179
},
"copa": {
"acc": 0.68,
"acc_stderr": 0.04688261722621504
},
"piqa": {
"acc": 0.6713819368879217,
"acc_stderr": 0.010959127105167048,
"acc_norm": 0.6713819368879217,
"acc_norm_stderr": 0.010959127105167044
}
},
"versions": {
"boolq": 1,
"arc_easy": 0,
"openbookqa": 0,
"hellaswag": 0,
"swag": 0,
"arc_challenge": 0,
"mc_taco": 0,
"wsc273": 0,
"winogrande": 0,
"prost": 0,
"copa": 0,
"piqa": 0
},
"config": {
"model": "hf-causal-experimental",
"model_args": "pretrained=bigscience/bloom-1b1,use_accelerate=True",
"num_fewshot": 0,
"batch_size": "auto",
"device": "cuda:0",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b1/bloom-1b1_gsm8k_8-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
"gsm8k": {
"acc": 0.008339651250947688,
"acc_stderr": 0.002504942226860508
}
},
"versions": {
"gsm8k": 0
},
"config": {
"model": "hf-causal-experimental",
"model_args": "pretrained=bigscience/bloom-1b1,use_accelerate=True",
"num_fewshot": 8,
"batch_size": "auto",
"device": "cuda",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b1/bloom-1b1_mathematical_reasoning_few_shot_5-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
"mathqa": {
"acc": 0.2355108877721943,
"acc_stderr": 0.007767687364650971,
"acc_norm": 0.23618090452261306,
"acc_norm_stderr": 0.0077753193787470495
},
"gsm8k": {
"acc": 0.0,
"acc_stderr": 0.0
},
"drop": {
"em": 0.013842281879194632,
"em_stderr": 0.001196510970060749,
"f1": 0.040085989932885986,
"f1_stderr": 0.0014841664758736023
},
"math_geometry": {
"acc": 0.0020876826722338203,
"acc_stderr": 0.0020876826722338315
},
"math_counting_and_prob": {
"acc": 0.002109704641350211,
"acc_stderr": 0.002109704641350211
},
"math_prealgebra": {
"acc": 0.001148105625717566,
"acc_stderr": 0.0011481056257175708
},
"math_num_theory": {
"acc": 0.001851851851851852,
"acc_stderr": 0.0018518518518518448
},
"math_precalc": {
"acc": 0.0,
"acc_stderr": 0.0
},
"math_algebra": {
"acc": 0.0,
"acc_stderr": 0.0
},
"math_intermediate_algebra": {
"acc": 0.0,
"acc_stderr": 0.0
}
},
"versions": {
"mathqa": 0,
"gsm8k": 0,
"drop": 1,
"math_geometry": 1,
"math_counting_and_prob": 1,
"math_prealgebra": 1,
"math_num_theory": 1,
"math_precalc": 1,
"math_algebra": 1,
"math_intermediate_algebra": 1
},
"config": {
"model": "hf-causal-experimental",
"model_args": "pretrained=bigscience/bloom-1b1,use_accelerate=True",
"num_fewshot": 5,
"batch_size": "auto",
"device": "cuda:0",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b1/bloom-1b1_pawsx_0-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
"pawsx_es": {
"acc": 0.515,
"acc_stderr": 0.011178102477052804
},
"pawsx_zh": {
"acc": 0.4895,
"acc_stderr": 0.011180669867648657
},
"pawsx_fr": {
"acc": 0.4615,
"acc_stderr": 0.011149934327957058
},
"pawsx_ko": {
"acc": 0.499,
"acc_stderr": 0.01118311365477017
},
"pawsx_de": {
"acc": 0.4695,
"acc_stderr": 0.011162310405413175
},
"pawsx_ja": {
"acc": 0.484,
"acc_stderr": 0.011177408788874897
},
"pawsx_en": {
"acc": 0.5245,
"acc_stderr": 0.011169702598013186
}
},
"versions": {
"pawsx_es": 0,
"pawsx_zh": 0,
"pawsx_fr": 0,
"pawsx_ko": 0,
"pawsx_de": 0,
"pawsx_ja": 0,
"pawsx_en": 0
},
"config": {
"model": "hf-causal-experimental",
"model_args": "pretrained=bigscience/bloom-1b1",
"num_fewshot": 0,
"batch_size": "auto",
"device": "cuda",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b1/bloom-1b1_question_answering_0-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
"truthfulqa_mc": {
"mc1": 0.2533659730722154,
"mc1_stderr": 0.01522589934082683,
"mc2": 0.4179977378869182,
"mc2_stderr": 0.014601549068840484
},
"webqs": {
"acc": 0.013779527559055118,
"acc_stderr": 0.002586718737195641
},
"logiqa": {
"acc": 0.1889400921658986,
"acc_stderr": 0.01535436463822078,
"acc_norm": 0.2565284178187404,
"acc_norm_stderr": 0.017129443327887562
},
"squad2": {
"exact": 4.169123220752969,
"f1": 6.5956997780058355,
"HasAns_exact": 2.192982456140351,
"HasAns_f1": 7.05309437656277,
"NoAns_exact": 6.139613120269134,
"NoAns_f1": 6.139613120269134,
"best_exact": 50.07159100480081,
"best_f1": 50.07159100480081
},
"headqa_es": {
"acc": 0.24434719183078046,
"acc_stderr": 0.008207488987159709,
"acc_norm": 0.2830051057622174,
"acc_norm_stderr": 0.008604004902114394
},
"headqa_en": {
"acc": 0.26440554339897887,
"acc_stderr": 0.008423643607316284,
"acc_norm": 0.30488694383661563,
"acc_norm_stderr": 0.008793112278191295
},
"triviaqa": {
"acc": 0.026783346592415803,
"acc_stderr": 0.001517985028991893
}
},
"versions": {
"truthfulqa_mc": 1,
"webqs": 0,
"logiqa": 0,
"squad2": 1,
"headqa_es": 0,
"headqa_en": 0,
"triviaqa": 1
},
"config": {
"model": "hf-causal-experimental",
"model_args": "pretrained=bigscience/bloom-1b1,use_accelerate=True",
"num_fewshot": 0,
"batch_size": "auto",
"device": "cuda:0",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b1/bloom-1b1_reading_comprehension_0-shot.json deleted 100644 → 0
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{
"results": {
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},
"versions": {
"drop": 1,
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"config": {
"model": "hf-causal-experimental",
"model_args": "pretrained=bigscience/bloom-1b1,use_accelerate=True",
"num_fewshot": 0,
"batch_size": "auto",
"device": "cuda:0",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b1/bloom-1b1_xcopa_0-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
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"acc": 0.648,
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"acc": 0.53,
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"config": {
"model": "hf-causal-experimental",
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}
results/bloom/bloom-1b1/bloom-1b1_xnli_0-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
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"acc": 0.3528942115768463,
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"config": {
"model": "hf-causal-experimental",
"model_args": "pretrained=bigscience/bloom-1b1",
"num_fewshot": 0,
"batch_size": "auto",
"device": "cuda",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b1/bloom-1b1_xstory_cloze_0-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
"xstory_cloze_te": {
"acc": 0.5638649900727994,
"acc_stderr": 0.012761730431435764
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"xstory_cloze_ar": {
"acc": 0.528788881535407,
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"acc": 0.5804103242885507,
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"acc": 0.4824619457313038,
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"xstory_cloze_id": {
"acc": 0.5790866975512905,
"acc_stderr": 0.012705145598630695
},
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"acc": 0.4619457313037723,
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"acc": 0.5056254136333554,
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"acc": 0.5830575777630708,
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"batch_size": "auto",
"device": "cuda",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b1/bloom-1b1_xwinograd_0-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
"xwinograd_ru": {
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"acc_stderr": 0.028112788378274862
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"config": {
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"bootstrap_iters": 100000,
"description_dict": {}
}
}
results/bloom/bloom-1b7/README.md deleted 100644 → 0
View file @ 465c695b
# bloom-1b7
## bloom-1b7_common_sense_reasoning_0-shot.json
| Task |Version| Metric |Value| |Stderr|
|-------------|------:|--------|----:|---|-----:|
|arc_challenge| 0|acc |23.55|± | 1.24|
| | |acc_norm|26.79|± | 1.29|
|arc_easy | 0|acc |56.31|± | 1.02|
| | |acc_norm|48.11|± | 1.03|
|boolq | 1|acc |61.77|± | 0.85|
|copa | 0|acc |70.00|± | 4.61|
|hellaswag | 0|acc |37.62|± | 0.48|
| | |acc_norm|46.56|± | 0.50|
|mc_taco | 0|em |12.54| | |
| | |f1 |47.46| | |
|openbookqa | 0|acc |21.40|± | 1.84|
| | |acc_norm|30.00|± | 2.05|
|piqa | 0|acc |68.77|± | 1.08|
| | |acc_norm|70.08|± | 1.07|
|prost | 0|acc |23.52|± | 0.31|
| | |acc_norm|26.70|± | 0.32|
|swag | 0|acc |45.32|± | 0.35|
| | |acc_norm|61.15|± | 0.34|
|winogrande | 0|acc |57.14|± | 1.39|
|wsc273 | 0|acc |72.89|± | 2.70|
## bloom-1b7_gsm8k_8-shot.json
|Task |Version|Metric|Value| |Stderr|
|-----|------:|------|----:|---|-----:|
|gsm8k| 0|acc | 1.29|± | 0.31|
## bloom-1b7_mathematical_reasoning_few_shot_5-shot.json
| Task |Version| Metric |Value| |Stderr|
|-------------------------|------:|--------|----:|---|-----:|
|drop | 1|em | 1.49|± | 0.12|
| | |f1 | 4.31|± | 0.15|
|gsm8k | 0|acc | 0.00|± | 0.00|
|math_algebra | 1|acc | 0.00|± | 0.00|
|math_counting_and_prob | 1|acc | 0.00|± | 0.00|
|math_geometry | 1|acc | 0.00|± | 0.00|
|math_intermediate_algebra| 1|acc | 0.00|± | 0.00|
|math_num_theory | 1|acc | 0.74|± | 0.37|
|math_prealgebra | 1|acc | 0.23|± | 0.16|
|math_precalc | 1|acc | 0.00|± | 0.00|
|mathqa | 0|acc |24.29|± | 0.79|
| | |acc_norm|24.62|± | 0.79|
## bloom-1b7_pawsx_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|--------|------:|------|----:|---|-----:|
|pawsx_de| 0|acc |48.75|± | 1.12|
|pawsx_en| 0|acc |48.90|± | 1.12|
|pawsx_es| 0|acc |51.30|± | 1.12|
|pawsx_fr| 0|acc |46.20|± | 1.12|
|pawsx_ja| 0|acc |44.70|± | 1.11|
|pawsx_ko| 0|acc |45.80|± | 1.11|
|pawsx_zh| 0|acc |45.40|± | 1.11|
## bloom-1b7_question_answering_0-shot.json
| Task |Version| Metric |Value| |Stderr|
|-------------|------:|------------|----:|---|-----:|
|headqa_en | 0|acc |27.75|± | 0.86|
| | |acc_norm |32.57|± | 0.90|
|headqa_es | 0|acc |25.42|± | 0.83|
| | |acc_norm |29.58|± | 0.87|
|logiqa | 0|acc |21.66|± | 1.62|
| | |acc_norm |28.11|± | 1.76|
|squad2 | 1|exact | 1.80| | |
| | |f1 | 4.38| | |
| | |HasAns_exact| 2.40| | |
| | |HasAns_f1 | 7.56| | |
| | |NoAns_exact | 1.21| | |
| | |NoAns_f1 | 1.21| | |
| | |best_exact |50.07| | |
| | |best_f1 |50.07| | |
|triviaqa | 1|acc | 3.14|± | 0.16|
|truthfulqa_mc| 1|mc1 |24.48|± | 1.51|
| | |mc2 |41.32|± | 1.44|
|webqs | 0|acc | 1.28|± | 0.25|
## bloom-1b7_reading_comprehension_0-shot.json
|Task|Version|Metric|Value| |Stderr|
|----|------:|------|----:|---|-----:|
|coqa| 1|f1 |53.55|± | 1.89|
| | |em |40.90|± | 2.03|
|drop| 1|em | 0.69|± | 0.08|
| | |f1 | 6.89|± | 0.16|
|race| 1|acc |33.21|± | 1.46|
## bloom-1b7_xcopa_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|--------|------:|------|----:|---|-----:|
|xcopa_et| 0|acc | 47.4|± | 2.24|
|xcopa_ht| 0|acc | 50.4|± | 2.24|
|xcopa_id| 0|acc | 63.2|± | 2.16|
|xcopa_it| 0|acc | 52.6|± | 2.24|
|xcopa_qu| 0|acc | 50.6|± | 2.24|
|xcopa_sw| 0|acc | 51.8|± | 2.24|
|xcopa_ta| 0|acc | 56.6|± | 2.22|
|xcopa_th| 0|acc | 53.2|± | 2.23|
|xcopa_tr| 0|acc | 52.8|± | 2.23|
|xcopa_vi| 0|acc | 65.8|± | 2.12|
|xcopa_zh| 0|acc | 61.4|± | 2.18|
## bloom-1b7_xnli_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|-------|------:|------|----:|---|-----:|
|xnli_ar| 0|acc |33.57|± | 0.67|
|xnli_bg| 0|acc |35.43|± | 0.68|
|xnli_de| 0|acc |40.58|± | 0.69|
|xnli_el| 0|acc |33.99|± | 0.67|
|xnli_en| 0|acc |50.14|± | 0.71|
|xnli_es| 0|acc |47.82|± | 0.71|
|xnli_fr| 0|acc |48.18|± | 0.71|
|xnli_hi| 0|acc |43.95|± | 0.70|
|xnli_ru| 0|acc |39.32|± | 0.69|
|xnli_sw| 0|acc |34.51|± | 0.67|
|xnli_th| 0|acc |33.37|± | 0.67|
|xnli_tr| 0|acc |34.93|± | 0.67|
|xnli_ur| 0|acc |40.50|± | 0.69|
|xnli_vi| 0|acc |46.23|± | 0.70|
|xnli_zh| 0|acc |36.21|± | 0.68|
## bloom-1b7_xstory_cloze_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|---------------|------:|------|----:|---|-----:|
|xstory_cloze_ar| 0|acc |55.00|± | 1.28|
|xstory_cloze_en| 0|acc |64.66|± | 1.23|
|xstory_cloze_es| 0|acc |60.82|± | 1.26|
|xstory_cloze_eu| 0|acc |54.93|± | 1.28|
|xstory_cloze_hi| 0|acc |56.78|± | 1.27|
|xstory_cloze_id| 0|acc |59.76|± | 1.26|
|xstory_cloze_my| 0|acc |47.25|± | 1.28|
|xstory_cloze_ru| 0|acc |50.36|± | 1.29|
|xstory_cloze_sw| 0|acc |52.28|± | 1.29|
|xstory_cloze_te| 0|acc |56.52|± | 1.28|
|xstory_cloze_zh| 0|acc |58.24|± | 1.27|
## bloom-1b7_xwinograd_0-shot.json
| Task |Version|Metric|Value| |Stderr|
|------------|------:|------|----:|---|-----:|
|xwinograd_en| 0|acc |74.71|± | 0.90|
|xwinograd_fr| 0|acc |68.67|± | 5.12|
|xwinograd_jp| 0|acc |54.12|± | 1.61|
|xwinograd_pt| 0|acc |63.50|± | 2.97|
|xwinograd_ru| 0|acc |52.38|± | 2.82|
|xwinograd_zh| 0|acc |69.64|± | 2.05|
results/bloom/bloom-1b7/bloom-1b7_common_sense_reasoning_0-shot.json deleted 100644 → 0
View file @ 465c695b
{
"results": {
"mc_taco": {
"em": 0.12537537537537538,
"f1": 0.47458014393437276
},
"arc_easy": {
"acc": 0.5631313131313131,
"acc_stderr": 0.010177672928157678,
"acc_norm": 0.4810606060606061,
"acc_norm_stderr": 0.010252420496894487
},
"boolq": {
"acc": 0.617737003058104,
"acc_stderr": 0.008499149690449272
},
"piqa": {
"acc": 0.6877040261153428,
"acc_stderr": 0.010812581599154424,
"acc_norm": 0.7007616974972797,
"acc_norm_stderr": 0.010684130673134581
},
"copa": {
"acc": 0.7,
"acc_stderr": 0.046056618647183814
},
"prost": {
"acc": 0.23521562766865928,
"acc_stderr": 0.003098672944164254,
"acc_norm": 0.2669726729291204,
"acc_norm_stderr": 0.00323196492387981
},
"hellaswag": {
"acc": 0.37621987651862177,
"acc_stderr": 0.004834461997944872,
"acc_norm": 0.46564429396534557,
"acc_norm_stderr": 0.004977988452502641
},
"swag": {
"acc": 0.4532140357892632,
"acc_stderr": 0.0035195819088979174,
"acc_norm": 0.6114665600319904,
"acc_norm_stderr": 0.003446127007510879
},
"openbookqa": {
"acc": 0.214,
"acc_stderr": 0.01835979750238702,
"acc_norm": 0.3,
"acc_norm_stderr": 0.020514426225628046
},
"wsc273": {
"acc": 0.7289377289377289,
"acc_stderr": 0.02695226692070332
},
"arc_challenge": {
"acc": 0.2354948805460751,
"acc_stderr": 0.012399451855004752,
"acc_norm": 0.26791808873720135,
"acc_norm_stderr": 0.012942030195136423
},
"winogrande": {
"acc": 0.5714285714285714,
"acc_stderr": 0.013908353814606709
}
},
"versions": {
"mc_taco": 0,
"arc_easy": 0,
"boolq": 1,
"piqa": 0,
"copa": 0,
"prost": 0,
"hellaswag": 0,
"swag": 0,
"openbookqa": 0,
"wsc273": 0,
"arc_challenge": 0,
"winogrande": 0
},
"config": {
"model": "hf-causal-experimental",
"model_args": "pretrained=bigscience/bloom-1b7,use_accelerate=True",
"num_fewshot": 0,
"batch_size": "auto",
"device": "cuda:0",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}
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