ymk00/dataset-test · Datasets at Hugging Face

gpt-3.5-turbo-0125bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-3.5

7c060821c8b41e02c7628adee6715915e6055dee0163013fc7a860cea0b6b173

openai

0

400

false

true

false

true

0.098043

false

2025-01-09

0

GPT-3.5-turbo

48.337138

{ "Exact F1 entity": 0.6274 }

{ "Exact F1 entity": 62.739999999999995 }

{ "Exact F1 entity": 0.406 }

{ "Exact F1 entity": 40.6 }

{ "Macro F1": 0.1345, "Weighted F1": 0.2376 }

{ "Macro F1": 13.450000000000001, "Weighted F1": 23.76 }

{ "Macro F1": 0.2004, "Weighted F1": 0.3862 }

{ "Macro F1": 20.04, "Weighted F1": 38.62 }

{ "Macro F1": 0.6722, "Weighted F1": 0.6605 }

{ "Macro F1": 67.22, "Weighted F1": 66.05 }

{ "Macro F1": 0.5967, "Weighted F1": 0.6707 }

{ "Macro F1": 59.67, "Weighted F1": 67.07 }

{ "Accuracy": 0.656, "Macro-F1": 0.4648 }

{ "Accuracy": 65.60000000000001, "Macro-F1": 46.48 }

{ "Accuracy": 0.4988, "Macro-F1": 0.4096 }

{ "Accuracy": 49.88, "Macro-F1": 40.96 }

{ "bart": -4.8334, "bert": 0.7195, "rouge1": 0.4023, "rougeL": 0.2274, "rough2": 0.1475 }

{ "bart": -483.34000000000003, "bert": 71.95, "rouge1": 40.23, "rougeL": 22.74, "rough2": 14.75 }

{ "bart": -5.0578, "bert": 0.6652, "rouge1": 0.1383, "rougeL": 0.0889, "rough2": 0.0278 }

{ "bart": -505.78000000000003, "bert": 66.52, "rouge1": 13.83, "rougeL": 8.89, "rough2": 2.78 }

{ "bart": -3.396, "bert": 0.7472, "dcr": 10.1221, "fkg": 11.8815, "rouge1": 0.4204, "rougeL": 0.2365, "rough2": 0.154 }

{ "bart": -339.59999999999997, "bert": 74.72, "dcr": 1012.2099999999999, "fkg": 1188.15, "rouge1": 42.04, "rougeL": 23.65, "rough2": 15.4 }

{ "bart": -3.9229, "bert": 0.7534, "dcr": 11.0496, "fkg": 12.5182, "rouge1": 0.4082, "rougeL": 0.2323, "rough2": 0.1334 }

{ "bart": -392.28999999999996, "bert": 75.33999999999999, "dcr": 1104.96, "fkg": 1251.82, "rouge1": 40.82, "rougeL": 23.23, "rough2": 13.34 }

gpt-3.5-turbo-0125bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-3.5-1shot

7c060821c8b41e02c7628adee6715915e6055dee0163013fc7a860cea0b6b173

openai

0

400

false

true

false

true

0.098043

false

2025-01-09

0

GPT-3.5-turbo

48.337138

{ "Exact F1 entity": 0.7133 }

{ "Exact F1 entity": 71.33 }

{ "Exact F1 entity": 0.4817 }

{ "Exact F1 entity": 48.17 }

{ "Macro F1": 0.128, "Weighted F1": 0.2011 }

{ "Macro F1": 12.8, "Weighted F1": 20.11 }

{ "Macro F1": 0.2126, "Weighted F1": 0.285 }

{ "Macro F1": 21.26, "Weighted F1": 28.499999999999996 }

{ "Macro F1": 0.6671, "Weighted F1": 0.6711 }

{ "Macro F1": 66.71000000000001, "Weighted F1": 67.11 }

{ "Macro F1": 0.6009, "Weighted F1": 0.6656 }

{ "Macro F1": 60.089999999999996, "Weighted F1": 66.56 }

{ "Accuracy": 0.46, "Macro-F1": 0.3761 }

{ "Accuracy": 46, "Macro-F1": 37.61 }

{ "Accuracy": 0.5161, "Macro-F1": 0.4241 }

{ "Accuracy": 51.61, "Macro-F1": 42.41 }

{ "bart": -4.8114, "bert": 0.7227, "rouge1": 0.4133, "rougeL": 0.2351, "rough2": 0.1548 }

{ "bart": -481.14, "bert": 72.27, "rouge1": 41.33, "rougeL": 23.51, "rough2": 15.479999999999999 }

{ "bart": -5.183, "bert": 0.6775, "rouge1": 0.1774, "rougeL": 0.1132, "rough2": 0.0326 }

{ "bart": -518.3, "bert": 67.75, "rouge1": 17.740000000000002, "rougeL": 11.32, "rough2": 3.26 }

{ "bart": -3.3662, "bert": 0.7489, "dcr": 10.1796, "fkg": 12.349, "rouge1": 0.4284, "rougeL": 0.2447, "rough2": 0.163 }

{ "bart": -336.62, "bert": 74.89, "dcr": 1017.96, "fkg": 1234.9, "rouge1": 42.84, "rougeL": 24.47, "rough2": 16.3 }

{ "bart": -3.7736, "bert": 0.7594, "dcr": 10.8338, "fkg": 13.2913, "rouge1": 0.4468, "rougeL": 0.2449, "rough2": 0.1458 }

{ "bart": -377.36, "bert": 75.94, "dcr": 1083.38, "fkg": 1329.1299999999999, "rouge1": 44.68, "rougeL": 24.490000000000002, "rough2": 14.580000000000002 }

gpt-3.5-turbo-0125bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-3.5-medprompt-1shot

7c060821c8b41e02c7628adee6715915e6055dee0163013fc7a860cea0b6b173

openai

0

400

false

true

false

true

0.098043

false

2025-01-09

0

GPT-3.5-turbo

48.337138

{ "Exact F1 entity": 0.6728 }

{ "Exact F1 entity": 67.28 }

{ "Exact F1 entity": 0.4154 }

{ "Exact F1 entity": 41.54 }

{ "Macro F1": 0.1419, "Weighted F1": 0.2408 }

{ "Macro F1": 14.19, "Weighted F1": 24.08 }

{ "Macro F1": 0.1299, "Weighted F1": 0.3281 }

{ "Macro F1": 12.989999999999998, "Weighted F1": 32.81 }

{ "Macro F1": 0.6931, "Weighted F1": 0.6866 }

{ "Macro F1": 69.31, "Weighted F1": 68.66 }

{ "Macro F1": 0.6364, "Weighted F1": 0.7048 }

{ "Macro F1": 63.63999999999999, "Weighted F1": 70.48 }

{ "Accuracy": 0.574, "Macro-F1": 0.5073 }

{ "Accuracy": 57.4, "Macro-F1": 50.73 }

{ "Accuracy": 0.5192, "Macro-F1": 0.4311 }

{ "Accuracy": 51.92, "Macro-F1": 43.11 }

{ "bart": -4.7751, "bert": 0.7267, "rouge1": 0.4245, "rougeL": 0.2472, "rough2": 0.1649 }

{ "bart": -477.51, "bert": 72.67, "rouge1": 42.449999999999996, "rougeL": 24.72, "rough2": 16.49 }

{ "bart": -5.1329, "bert": 0.6681, "rouge1": 0.1509, "rougeL": 0.0974, "rough2": 0.029 }

{ "bart": -513.2900000000001, "bert": 66.81, "rouge1": 15.09, "rougeL": 9.74, "rough2": 2.9000000000000004 }

{ "bart": -3.2689, "bert": 0.7511, "dcr": 9.7913, "fkg": 12.3898, "rouge1": 0.4514, "rougeL": 0.2528, "rough2": 0.1752 }

{ "bart": -326.89, "bert": 75.11, "dcr": 979.13, "fkg": 1238.98, "rouge1": 45.14, "rougeL": 25.28, "rough2": 17.52 }

{ "bart": -3.8172, "bert": 0.7605, "dcr": 10.8511, "fkg": 13.276, "rouge1": 0.4427, "rougeL": 0.2451, "rough2": 0.1464 }

{ "bart": -381.72, "bert": 76.05, "dcr": 1085.1100000000001, "fkg": 1327.6, "rouge1": 44.269999999999996, "rougeL": 24.51, "rough2": 14.64 }

gpt-3.5-turbo-0125bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-3.5-medprompt-2shot

7c060821c8b41e02c7628adee6715915e6055dee0163013fc7a860cea0b6b173

openai

0

400

false

true

false

true

0.098043

false

2025-01-09

0

GPT-3.5-turbo

48.337138

{ "Exact F1 entity": 0.6738 }

{ "Exact F1 entity": 67.38 }

{ "Exact F1 entity": 0.4093 }

{ "Exact F1 entity": 40.93 }

{ "Macro F1": 0.1455, "Weighted F1": 0.1824 }

{ "Macro F1": 14.549999999999999, "Weighted F1": 18.240000000000002 }

{ "Macro F1": 0.2419, "Weighted F1": 0.3508 }

{ "Macro F1": 24.19, "Weighted F1": 35.08 }

{ "Macro F1": 0.6885, "Weighted F1": 0.6885 }

{ "Macro F1": 68.85, "Weighted F1": 68.85 }

{ "Macro F1": 0.6357, "Weighted F1": 0.7056 }

{ "Macro F1": 63.57000000000001, "Weighted F1": 70.56 }

{ "Accuracy": 0.574, "Macro-F1": 0.4964 }

{ "Accuracy": 57.4, "Macro-F1": 49.64 }

{ "Accuracy": 0.5153, "Macro-F1": 0.428 }

{ "Accuracy": 51.53, "Macro-F1": 42.8 }

{ "bart": -4.7609, "bert": 0.7278, "rouge1": 0.4285, "rougeL": 0.2482, "rough2": 0.166 }

{ "bart": -476.09000000000003, "bert": 72.78, "rouge1": 42.85, "rougeL": 24.82, "rough2": 16.6 }

{ "bart": -5.1411, "bert": 0.666, "rouge1": 0.1452, "rougeL": 0.0946, "rough2": 0.0276 }

{ "bart": -514.11, "bert": 66.60000000000001, "rouge1": 14.52, "rougeL": 9.46, "rough2": 2.76 }

{ "bart": -3.2745, "bert": 0.7517, "dcr": 9.8791, "fkg": 12.4502, "rouge1": 0.4515, "rougeL": 0.2538, "rough2": 0.1724 }

{ "bart": -327.45000000000005, "bert": 75.17, "dcr": 987.91, "fkg": 1245.02, "rouge1": 45.15, "rougeL": 25.380000000000003, "rough2": 17.24 }

{ "bart": -3.7997, "bert": 0.7611, "dcr": 10.7889, "fkg": 13.2652, "rouge1": 0.4461, "rougeL": 0.2466, "rough2": 0.1466 }

{ "bart": -379.97, "bert": 76.11, "dcr": 1078.89, "fkg": 1326.52, "rouge1": 44.61, "rougeL": 24.66, "rough2": 14.66 }

gpt-3.5-turbo-0125bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-3.5-medprompt-5shot

7c060821c8b41e02c7628adee6715915e6055dee0163013fc7a860cea0b6b173

openai

0

400

false

true

false

true

0.098043

false

2025-01-09

0

GPT-3.5-turbo

48.337138

{ "Exact F1 entity": 0.6787 }

{ "Exact F1 entity": 67.86999999999999 }

{ "Exact F1 entity": 0.3769 }

{ "Exact F1 entity": 37.69 }

{ "Macro F1": 0.1463, "Weighted F1": 0.182 }

{ "Macro F1": 14.63, "Weighted F1": 18.2 }

{ "Macro F1": 0.2078, "Weighted F1": 0.3822 }

{ "Macro F1": 20.78, "Weighted F1": 38.22 }

{ "Macro F1": 0.7242, "Weighted F1": 0.729 }

{ "Macro F1": 72.42, "Weighted F1": 72.89999999999999 }

{ "Macro F1": 0.6484, "Weighted F1": 0.7229 }

{ "Macro F1": 64.84, "Weighted F1": 72.28999999999999 }

{ "Accuracy": 0.65, "Macro-F1": 0.5242 }

{ "Accuracy": 65, "Macro-F1": 52.42 }

{ "Accuracy": 0.5295, "Macro-F1": 0.4397 }

{ "Accuracy": 52.949999999999996, "Macro-F1": 43.97 }

{ "bart": -4.792, "bert": 0.7251, "rouge1": 0.422, "rougeL": 0.2438, "rough2": 0.1613 }

{ "bart": -479.2, "bert": 72.50999999999999, "rouge1": 42.199999999999996, "rougeL": 24.38, "rough2": 16.13 }

{ "bart": -5.1428, "bert": 0.6654, "rouge1": 0.1449, "rougeL": 0.0946, "rough2": 0.0276 }

{ "bart": -514.28, "bert": 66.53999999999999, "rouge1": 14.49, "rougeL": 9.46, "rough2": 2.76 }

{ "bart": -3.2767, "bert": 0.7524, "dcr": 9.9214, "fkg": 12.5908, "rouge1": 0.453, "rougeL": 0.2536, "rough2": 0.1737 }

{ "bart": -327.67, "bert": 75.24, "dcr": 992.14, "fkg": 1259.08, "rouge1": 45.300000000000004, "rougeL": 25.36, "rough2": 17.37 }

{ "bart": -3.777, "bert": 0.7608, "dcr": 10.733, "fkg": 13.3785, "rouge1": 0.4496, "rougeL": 0.2482, "rough2": 0.1479 }

{ "bart": -377.7, "bert": 76.08, "dcr": 1073.3, "fkg": 1337.8500000000001, "rouge1": 44.96, "rougeL": 24.82, "rough2": 14.790000000000001 }

gpt-3.5-turbo-0125bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-3.5-fixed-5shot

7c060821c8b41e02c7628adee6715915e6055dee0163013fc7a860cea0b6b173

openai

0

400

false

true

false

true

0.098043

false

2025-01-09

0

GPT-3.5-turbo

48.337138

{ "Exact F1 entity": 0.7228 }

{ "Exact F1 entity": 72.28 }

{ "Exact F1 entity": 0.4309 }

{ "Exact F1 entity": 43.09 }

{ "Macro F1": 0.1758, "Weighted F1": 0.1864 }

{ "Macro F1": 17.580000000000002, "Weighted F1": 18.64 }

{ "Macro F1": 0.1706, "Weighted F1": 0.3202 }

{ "Macro F1": 17.06, "Weighted F1": 32.019999999999996 }

{ "Macro F1": 0.6994, "Weighted F1": 0.6992 }

{ "Macro F1": 69.94, "Weighted F1": 69.92 }

{ "Macro F1": 0.6179, "Weighted F1": 0.6989 }

{ "Macro F1": 61.79, "Weighted F1": 69.89 }

{ "Accuracy": 0.692, "Macro-F1": 0.5644 }

{ "Accuracy": 69.19999999999999, "Macro-F1": 56.44 }

{ "Accuracy": 0.5208, "Macro-F1": 0.4307 }

{ "Accuracy": 52.080000000000005, "Macro-F1": 43.07 }

{ "bart": -4.7899, "bert": 0.7258, "rouge1": 0.4227, "rougeL": 0.2423, "rough2": 0.1612 }

{ "bart": -478.99, "bert": 72.58, "rouge1": 42.27, "rougeL": 24.23, "rough2": 16.12 }

{ "bart": -5.179, "bert": 0.6685, "rouge1": 0.1553, "rougeL": 0.1013, "rough2": 0.0296 }

{ "bart": -517.9, "bert": 66.85, "rouge1": 15.53, "rougeL": 10.13, "rough2": 2.96 }

{ "bart": -3.3325, "bert": 0.7501, "dcr": 10.14, "fkg": 12.5152, "rouge1": 0.4384, "rougeL": 0.247, "rough2": 0.1636 }

{ "bart": -333.25, "bert": 75.01, "dcr": 1014, "fkg": 1251.52, "rouge1": 43.84, "rougeL": 24.7, "rough2": 16.36 }

{ "bart": -3.834, "bert": 0.7586, "dcr": 10.6676, "fkg": 13.1201, "rouge1": 0.4397, "rougeL": 0.2416, "rough2": 0.1409 }

{ "bart": -383.40000000000003, "bert": 75.86, "dcr": 1066.76, "fkg": 1312.01, "rouge1": 43.97, "rougeL": 24.16, "rough2": 14.09 }

gpt-4bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-4

openai

0

1,800

false

true

false

true

0.028304

false

2025-01-08

0

GPT-4

48.337138

{ "Exact F1 entity": 0.7993 }

{ "Exact F1 entity": 79.93 }

{ "Exact F1 entity": 0.5827 }

{ "Exact F1 entity": 58.269999999999996 }

{ "Macro F1": 0.325, "Weighted F1": 0.3538 }

{ "Macro F1": 32.5, "Weighted F1": 35.38 }

{ "Macro F1": 0.2968, "Weighted F1": 0.383 }

{ "Macro F1": 29.68, "Weighted F1": 38.3 }

{ "Macro F1": 0.7109, "Weighted F1": 0.7166 }

{ "Macro F1": 71.09, "Weighted F1": 71.66 }

{ "Macro F1": 0.5883, "Weighted F1": 0.6809 }

{ "Macro F1": 58.830000000000005, "Weighted F1": 68.08999999999999 }

{ "Accuracy": 0.628, "Macro-F1": 0.4604 }

{ "Accuracy": 62.8, "Macro-F1": 46.04 }

{ "Accuracy": 0.7156, "Macro-F1": 0.5104 }

{ "Accuracy": 71.56, "Macro-F1": 51.04 }

{ "bart": -4.8375, "bert": 0.7242, "rouge1": 0.4124, "rougeL": 0.2419, "rough2": 0.1594 }

{ "bart": -483.75000000000006, "bert": 72.42, "rouge1": 41.24, "rougeL": 24.19, "rough2": 15.939999999999998 }

{ "bart": -5.1767, "bert": 0.6904, "rouge1": 0.1987, "rougeL": 0.1224, "rough2": 0.0341 }

{ "bart": -517.6700000000001, "bert": 69.04, "rouge1": 19.869999999999997, "rougeL": 12.24, "rough2": 3.4099999999999997 }

{ "bart": -3.344, "bert": 0.749, "dcr": 9.558, "fkg": 11.0179, "rouge1": 0.4347, "rougeL": 0.2375, "rough2": 0.1499 }

{ "bart": -334.4, "bert": 74.9, "dcr": 955.8, "fkg": 1101.79, "rouge1": 43.47, "rougeL": 23.75, "rough2": 14.99 }

{ "bart": -3.9066, "bert": 0.7488, "dcr": 9.9077, "fkg": 11.1895, "rouge1": 0.4195, "rougeL": 0.2253, "rough2": 0.1164 }

{ "bart": -390.66, "bert": 74.88, "dcr": 990.77, "fkg": 1118.95, "rouge1": 41.949999999999996, "rougeL": 22.53, "rough2": 11.64 }

gpt-4bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-4-1shot

openai

0

1,800

false

true

false

true

0.028304

false

2025-01-08

0

GPT-4

48.337138

{ "Exact F1 entity": 0.8327 }

{ "Exact F1 entity": 83.27 }

{ "Exact F1 entity": 0.5988 }

{ "Exact F1 entity": 59.88 }

{ "Macro F1": 0.3391, "Weighted F1": 0.4109 }

{ "Macro F1": 33.910000000000004, "Weighted F1": 41.089999999999996 }

{ "Macro F1": 0.3312, "Weighted F1": 0.4819 }

{ "Macro F1": 33.12, "Weighted F1": 48.19 }

{ "Macro F1": 0.7093, "Weighted F1": 0.7205 }

{ "Macro F1": 70.93, "Weighted F1": 72.05 }

{ "Macro F1": 0.5901, "Weighted F1": 0.6839 }

{ "Macro F1": 59.01, "Weighted F1": 68.39 }

{ "Accuracy": 0.71, "Macro-F1": 0.5692 }

{ "Accuracy": 71, "Macro-F1": 56.92 }

{ "Accuracy": 0.7439, "Macro-F1": 0.6171 }

{ "Accuracy": 74.39, "Macro-F1": 61.71 }

{ "bart": -4.8548, "bert": 0.7231, "rouge1": 0.4084, "rougeL": 0.2427, "rough2": 0.1617 }

{ "bart": -485.48, "bert": 72.31, "rouge1": 40.839999999999996, "rougeL": 24.27, "rough2": 16.17 }

{ "bart": -5.1909, "bert": 0.6907, "rouge1": 0.2018, "rougeL": 0.1248, "rough2": 0.0346 }

{ "bart": -519.09, "bert": 69.07, "rouge1": 20.18, "rougeL": 12.479999999999999, "rough2": 3.46 }

{ "bart": -3.4042, "bert": 0.7496, "dcr": 10.0239, "fkg": 11.6752, "rouge1": 0.4198, "rougeL": 0.2385, "rough2": 0.1532 }

{ "bart": -340.42, "bert": 74.96000000000001, "dcr": 1002.39, "fkg": 1167.52, "rouge1": 41.980000000000004, "rougeL": 23.849999999999998, "rough2": 15.32 }

{ "bart": -3.8169, "bert": 0.7549, "dcr": 10.1151, "fkg": 12.0144, "rouge1": 0.4397, "rougeL": 0.2386, "rough2": 0.1314 }

{ "bart": -381.69, "bert": 75.49, "dcr": 1011.51, "fkg": 1201.44, "rouge1": 43.97, "rougeL": 23.86, "rough2": 13.139999999999999 }

gpt-4bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-4-medprompt-1shot

openai

0

1,800

false

true

false

true

0.028304

false

2025-01-08

0

GPT-4

48.337138

{ "Exact F1 entity": 0.7904 }

{ "Exact F1 entity": 79.03999999999999 }

{ "Exact F1 entity": 0.5262 }

{ "Exact F1 entity": 52.62 }

{ "Macro F1": 0.2205, "Weighted F1": 0.4396 }

{ "Macro F1": 22.05, "Weighted F1": 43.96 }

{ "Macro F1": 0.2965, "Weighted F1": 0.5206 }

{ "Macro F1": 29.65, "Weighted F1": 52.059999999999995 }

{ "Macro F1": 0.7177, "Weighted F1": 0.7207 }

{ "Macro F1": 71.77, "Weighted F1": 72.07000000000001 }

{ "Macro F1": 0.65, "Weighted F1": 0.7359 }

{ "Macro F1": 65, "Weighted F1": 73.59 }

{ "Accuracy": 0.72, "Macro-F1": 0.5728 }

{ "Accuracy": 72, "Macro-F1": 57.28 }

{ "Accuracy": 0.7376, "Macro-F1": 0.6143 }

{ "Accuracy": 73.76, "Macro-F1": 61.42999999999999 }

{ "bart": -4.8142, "bert": 0.7273, "rouge1": 0.4189, "rougeL": 0.2524, "rough2": 0.1698 }

{ "bart": -481.41999999999996, "bert": 72.72999999999999, "rouge1": 41.89, "rougeL": 25.240000000000002, "rough2": 16.98 }

{ "bart": -5.2626, "bert": 0.6879, "rouge1": 0.1968, "rougeL": 0.123, "rough2": 0.0325 }

{ "bart": -526.26, "bert": 68.78999999999999, "rouge1": 19.68, "rougeL": 12.3, "rough2": 3.25 }

{ "bart": -3.2365, "bert": 0.7543, "dcr": 9.5561, "fkg": 11.836, "rouge1": 0.4588, "rougeL": 0.2567, "rough2": 0.1786 }

{ "bart": -323.65, "bert": 75.42999999999999, "dcr": 955.6100000000001, "fkg": 1183.6000000000001, "rouge1": 45.879999999999995, "rougeL": 25.669999999999998, "rough2": 17.86 }

{ "bart": -3.7922, "bert": 0.7575, "dcr": 10.1539, "fkg": 12.1148, "rouge1": 0.4448, "rougeL": 0.243, "rough2": 0.139 }

{ "bart": -379.21999999999997, "bert": 75.75, "dcr": 1015.39, "fkg": 1211.48, "rouge1": 44.48, "rougeL": 24.3, "rough2": 13.900000000000002 }

gpt-4bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-4-medprompt-2shot

openai

0

1,800

false

true

false

true

0.028304

false

2025-01-08

0

GPT-4

48.337138

{ "Exact F1 entity": 0.7959 }

{ "Exact F1 entity": 79.59 }

{ "Exact F1 entity": 0.498 }

{ "Exact F1 entity": 49.8 }

{ "Macro F1": 0.3353, "Weighted F1": 0.5092 }

{ "Macro F1": 33.53, "Weighted F1": 50.92 }

{ "Macro F1": 0.2936, "Weighted F1": 0.502 }

{ "Macro F1": 29.360000000000003, "Weighted F1": 50.2 }

{ "Macro F1": 0.7035, "Weighted F1": 0.7105 }

{ "Macro F1": 70.35, "Weighted F1": 71.05 }

{ "Macro F1": 0.6633, "Weighted F1": 0.7546 }

{ "Macro F1": 66.33, "Weighted F1": 75.46000000000001 }

{ "Accuracy": 0.742, "Macro-F1": 0.5851 }

{ "Accuracy": 74.2, "Macro-F1": 58.51 }

{ "Accuracy": 0.7596, "Macro-F1": 0.6328 }

{ "Accuracy": 75.96000000000001, "Macro-F1": 63.28 }

{ "bart": -4.7919, "bert": 0.7271, "rouge1": 0.4183, "rougeL": 0.2538, "rough2": 0.1709 }

{ "bart": -479.19, "bert": 72.71, "rouge1": 41.83, "rougeL": 25.380000000000003, "rough2": 17.09 }

{ "bart": -5.2633, "bert": 0.6877, "rouge1": 0.1969, "rougeL": 0.1234, "rough2": 0.032 }

{ "bart": -526.33, "bert": 68.77, "rouge1": 19.689999999999998, "rougeL": 12.34, "rough2": 3.2 }

{ "bart": -3.2496, "bert": 0.7551, "dcr": 9.4289, "fkg": 11.6763, "rouge1": 0.4578, "rougeL": 0.2587, "rough2": 0.1783 }

{ "bart": -324.96, "bert": 75.51, "dcr": 942.8900000000001, "fkg": 1167.6299999999999, "rouge1": 45.78, "rougeL": 25.869999999999997, "rough2": 17.83 }

{ "bart": -3.8136, "bert": 0.7569, "dcr": 10.0404, "fkg": 12.0537, "rouge1": 0.4428, "rougeL": 0.2416, "rough2": 0.1361 }

{ "bart": -381.36, "bert": 75.69, "dcr": 1004.04, "fkg": 1205.37, "rouge1": 44.28, "rougeL": 24.16, "rough2": 13.61 }

gpt-4bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-4-medprompt-5shot

openai

0

1,800

false

true

false

true

0.028304

false

2025-01-08

0

GPT-4

48.337138

{ "Exact F1 entity": 0.795 }

{ "Exact F1 entity": 79.5 }

{ "Exact F1 entity": 0.4881 }

{ "Exact F1 entity": 48.809999999999995 }

{ "Macro F1": 0.3435, "Weighted F1": 0.5275 }

{ "Macro F1": 34.35, "Weighted F1": 52.75 }

{ "Macro F1": 0.3175, "Weighted F1": 0.5248 }

{ "Macro F1": 31.75, "Weighted F1": 52.480000000000004 }

{ "Macro F1": 0.7322, "Weighted F1": 0.733 }

{ "Macro F1": 73.22, "Weighted F1": 73.3 }

{ "Macro F1": 0.7055, "Weighted F1": 0.7927 }

{ "Macro F1": 70.55, "Weighted F1": 79.27 }

{ "Accuracy": 0.756, "Macro-F1": 0.5836 }

{ "Accuracy": 75.6, "Macro-F1": 58.36 }

{ "Accuracy": 0.7753, "Macro-F1": 0.6468 }

{ "Accuracy": 77.53, "Macro-F1": 64.68 }

{ "bart": -4.8697, "bert": 0.72, "rouge1": 0.3972, "rougeL": 0.2411, "rough2": 0.1548 }

{ "bart": -486.96999999999997, "bert": 72, "rouge1": 39.72, "rougeL": 24.11, "rough2": 15.479999999999999 }

{ "bart": -5.2838, "bert": 0.6868, "rouge1": 0.1937, "rougeL": 0.1226, "rough2": 0.0309 }

{ "bart": -528.38, "bert": 68.67999999999999, "rouge1": 19.37, "rougeL": 12.26, "rough2": 3.09 }

{ "bart": -3.2643, "bert": 0.7543, "dcr": 9.4811, "fkg": 11.8388, "rouge1": 0.4527, "rougeL": 0.2587, "rough2": 0.1778 }

{ "bart": -326.43, "bert": 75.42999999999999, "dcr": 948.11, "fkg": 1183.88, "rouge1": 45.269999999999996, "rougeL": 25.869999999999997, "rough2": 17.78 }

{ "bart": -3.8265, "bert": 0.7572, "dcr": 10.0848, "fkg": 12.0698, "rouge1": 0.4425, "rougeL": 0.243, "rough2": 0.1364 }

{ "bart": -382.65, "bert": 75.72, "dcr": 1008.4799999999999, "fkg": 1206.98, "rouge1": 44.25, "rougeL": 24.3, "rough2": 13.639999999999999 }

gpt-4bfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

Transformer

gpt-4-fixed-5shot

openai

0

1,800

false

true

false

true

0.028304

false

2025-01-08

0

GPT-4

48.337138

{ "Exact F1 entity": 0.7979 }

{ "Exact F1 entity": 79.79 }

{ "Exact F1 entity": 0.6389 }

{ "Exact F1 entity": 63.89 }

{ "Macro F1": 0.3756, "Weighted F1": 0.4933 }

{ "Macro F1": 37.56, "Weighted F1": 49.33 }

{ "Macro F1": 0.3276, "Weighted F1": 0.4498 }

{ "Macro F1": 32.76, "Weighted F1": 44.98 }

{ "Macro F1": 0.7099, "Weighted F1": 0.7217 }

{ "Macro F1": 70.99, "Weighted F1": 72.17 }

{ "Macro F1": 0.6077, "Weighted F1": 0.7202 }

{ "Macro F1": 60.77, "Weighted F1": 72.02 }

{ "Accuracy": 0.758, "Macro-F1": 0.5872 }

{ "Accuracy": 75.8, "Macro-F1": 58.720000000000006 }

{ "Accuracy": 0.7651, "Macro-F1": 0.6374 }

{ "Accuracy": 76.51, "Macro-F1": 63.739999999999995 }

{ "bart": -4.8488, "bert": 0.7253, "rouge1": 0.4048, "rougeL": 0.2444, "rough2": 0.1629 }

{ "bart": -484.88, "bert": 72.53, "rouge1": 40.48, "rougeL": 24.44, "rough2": 16.29 }

{ "bart": -5.347, "bert": 0.6858, "rouge1": 0.1913, "rougeL": 0.1218, "rough2": 0.0292 }

{ "bart": -534.7, "bert": 68.58, "rouge1": 19.13, "rougeL": 12.18, "rough2": 2.92 }

{ "bart": -3.3474, "bert": 0.7524, "dcr": 9.7333, "fkg": 11.7417, "rouge1": 0.4384, "rougeL": 0.2469, "rough2": 0.161 }

{ "bart": -334.74, "bert": 75.24, "dcr": 973.3299999999999, "fkg": 1174.17, "rouge1": 43.84, "rougeL": 24.69, "rough2": 16.1 }

{ "bart": -3.8487, "bert": 0.7565, "dcr": 10.0256, "fkg": 12.0487, "rouge1": 0.4397, "rougeL": 0.2409, "rough2": 0.1321 }

{ "bart": -384.87, "bert": 75.64999999999999, "dcr": 1002.5600000000001, "fkg": 1204.8700000000001, "rouge1": 43.97, "rougeL": 24.09, "rough2": 13.209999999999999 }

meta-llama/Llama-2-13b-chat-hfbfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

LlamaForCausalLM

<a target="_blank" href="https://huggingface.co/meta-llama/Llama-2-13b-chat-hf" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Llama-2-13b-chat-hf</a>

llama2-13b

llama3

1,072

13

true

false

true

62.44

false

2025-04-08

0

meta-llama/Llama-2-13b-chat-hf

48.337138

{ "Exact F1 entity": 0.9149 }

{ "Exact F1 entity": 91.49000000000001 }

{ "Exact F1 entity": 0.8682 }

{ "Exact F1 entity": 86.82 }

{ "Macro F1": 0.4612, "Weighted F1": 0.8006 }

{ "Macro F1": 46.12, "Weighted F1": 80.06 }

{ "Macro F1": 0.6218, "Weighted F1": 0.8503 }

{ "Macro F1": 62.18, "Weighted F1": 85.03 }

{ "Macro F1": 0.6957, "Weighted F1": 0.6787 }

{ "Macro F1": 69.57, "Weighted F1": 67.86999999999999 }

{ "Macro F1": 0.5725, "Weighted F1": 0.6668 }

{ "Macro F1": 57.25, "Weighted F1": 66.67999999999999 }

{ "Accuracy": 0.804, "Macro-F1": 0.5628 }

{ "Accuracy": 80.4, "Macro-F1": 56.279999999999994 }

{ "Accuracy": 0.4462, "Macro-F1": 0.4394 }

{ "Accuracy": 44.62, "Macro-F1": 43.94 }

{ "bart": -4.9772, "bert": 0.6623, "rouge1": 0.288, "rougeL": 0.1857, "rough2": 0.1074 }

{ "bart": -497.71999999999997, "bert": 66.23, "rouge1": 28.799999999999997, "rougeL": 18.57, "rough2": 10.74 }

{ "bart": -5.4586, "bert": 0.6265, "rouge1": 0.1279, "rougeL": 0.0934, "rough2": 0.0191 }

{ "bart": -545.86, "bert": 62.64999999999999, "rouge1": 12.790000000000001, "rougeL": 9.34, "rough2": 1.91 }

{ "bart": -3.5027, "bert": 0.7316, "dcr": 9.8072, "fkg": 11.82, "rouge1": 0.3894, "rougeL": 0.2355, "rough2": 0.1609 }

{ "bart": -350.27, "bert": 73.16, "dcr": 980.72, "fkg": 1182, "rouge1": 38.940000000000005, "rougeL": 23.549999999999997, "rough2": 16.09 }

{ "bart": -3.6863, "bert": 0.757, "dcr": 10.667, "fkg": 13.9517, "rouge1": 0.4622, "rougeL": 0.2583, "rough2": 0.1669 }

{ "bart": -368.63, "bert": 75.7, "dcr": 1066.7, "fkg": 1395.17, "rouge1": 46.22, "rougeL": 25.83, "rough2": 16.689999999999998 }

meta-llama/Llama-2-13b-chat-hfbfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

LlamaForCausalLM

<a target="_blank" href="https://huggingface.co/meta-llama/Llama-2-13b-chat-hf" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Llama-2-13b-chat-hf</a>

llama2-13b-chat-0shot

llama3

1,072

13

true

false

true

62.44

false

2025-04-08

0

meta-llama/Llama-2-13b-chat-hf

48.337138

{ "Exact F1 entity": 0.3944 }

{ "Exact F1 entity": 39.44 }

{ "Exact F1 entity": 0.2211 }

{ "Exact F1 entity": 22.11 }

{ "Macro F1": 0.1392, "Weighted F1": 0.1232 }

{ "Macro F1": 13.919999999999998, "Weighted F1": 12.32 }

{ "Macro F1": 0.1305, "Weighted F1": 0.165 }

{ "Macro F1": 13.05, "Weighted F1": 16.5 }

{ "Macro F1": 0.1285, "Weighted F1": 0.1495 }

{ "Macro F1": 12.85, "Weighted F1": 14.95 }

{ "Macro F1": 0.3825, "Weighted F1": 0.54 }

{ "Macro F1": 38.25, "Weighted F1": 54 }

{ "Accuracy": 0.552, "Macro-F1": 0.2959 }

{ "Accuracy": 55.2, "Macro-F1": 29.59 }

{ "Accuracy": 0.2522, "Macro-F1": 0.2226 }

{ "Accuracy": 25.22, "Macro-F1": 22.259999999999998 }

{ "bart": -4.7504, "bert": 0.6546, "rouge1": 0.1815, "rougeL": 0.119, "rough2": 0.0696 }

{ "bart": -475.04, "bert": 65.46, "rouge1": 18.15, "rougeL": 11.899999999999999, "rough2": 6.959999999999999 }

{ "bart": -5.2804, "bert": 0.6431, "rouge1": 0.1448, "rougeL": 0.0948, "rough2": 0.0204 }

{ "bart": -528.04, "bert": 64.31, "rouge1": 14.48, "rougeL": 9.48, "rough2": 2.04 }

{ "bart": -3.4807, "bert": 0.7183, "dcr": 9.8786, "fkg": 12.4385, "rouge1": 0.3693, "rougeL": 0.2081, "rough2": 0.1329 }

{ "bart": -348.07, "bert": 71.83, "dcr": 987.86, "fkg": 1243.85, "rouge1": 36.93, "rougeL": 20.810000000000002, "rough2": 13.29 }

{ "bart": -3.9158, "bert": 0.7246, "dcr": 10.1079, "fkg": 13.1722, "rouge1": 0.3852, "rougeL": 0.2121, "rough2": 0.1243 }

{ "bart": -391.58, "bert": 72.46000000000001, "dcr": 1010.7900000000001, "fkg": 1317.22, "rouge1": 38.519999999999996, "rougeL": 21.21, "rough2": 12.43 }

meta-llama/Llama-2-13b-chat-hfbfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

LlamaForCausalLM

<a target="_blank" href="https://huggingface.co/meta-llama/Llama-2-13b-chat-hf" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Llama-2-13b-chat-hf</a>

llama2-13b-chat-1shot

llama3

1,072

13

true

false

true

62.44

false

2025-04-08

0

meta-llama/Llama-2-13b-chat-hf

48.337138

{ "Exact F1 entity": 0.6276 }

{ "Exact F1 entity": 62.760000000000005 }

{ "Exact F1 entity": 0.3811 }

{ "Exact F1 entity": 38.11 }

{ "Macro F1": 0.0718, "Weighted F1": 0.0174 }

{ "Macro F1": 7.180000000000001, "Weighted F1": 1.7399999999999998 }

{ "Macro F1": 0.1779, "Weighted F1": 0.4518 }

{ "Macro F1": 17.79, "Weighted F1": 45.18 }

{ "Macro F1": 0.3072, "Weighted F1": 0.3813 }

{ "Macro F1": 30.72, "Weighted F1": 38.129999999999995 }

{ "Macro F1": 0.4808, "Weighted F1": 0.5997 }

{ "Macro F1": 48.08, "Weighted F1": 59.97 }

{ "Accuracy": 0.266, "Macro-F1": 0.1916 }

{ "Accuracy": 26.6, "Macro-F1": 19.16 }

{ "Accuracy": 0.2899, "Macro-F1": 0.275 }

{ "Accuracy": 28.99, "Macro-F1": 27.500000000000004 }

{ "bart": -5.8035, "bert": 0.6467, "rouge1": 0.1681, "rougeL": 0.0989, "rough2": 0.013 }

{ "bart": -580.3499999999999, "bert": 64.67, "rouge1": 16.81, "rougeL": 9.89, "rough2": 1.3 }

{ "bart": -5.9733, "bert": 0.5921, "rouge1": 0.0398, "rougeL": 0.032, "rough2": 0.0027 }

{ "bart": -597.33, "bert": 59.209999999999994, "rouge1": 3.9800000000000004, "rougeL": 3.2, "rough2": 0.27 }

{ "bart": -3.4418, "bert": 0.7226, "dcr": 9.8024, "fkg": 12.2585, "rouge1": 0.3906, "rougeL": 0.2207, "rough2": 0.1475 }

{ "bart": -344.18, "bert": 72.26, "dcr": 980.24, "fkg": 1225.85, "rouge1": 39.06, "rougeL": 22.07, "rough2": 14.75 }

{ "bart": -4.198, "bert": 0.6954, "dcr": 9.6846, "fkg": 13.3804, "rouge1": 0.3332, "rougeL": 0.1836, "rough2": 0.1004 }

{ "bart": -419.80000000000007, "bert": 69.54, "dcr": 968.4599999999999, "fkg": 1338.04, "rouge1": 33.32, "rougeL": 18.360000000000003, "rough2": 10.040000000000001 }

meta-llama/Llama-2-13b-chat-hfbfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

LlamaForCausalLM

<a target="_blank" href="https://huggingface.co/meta-llama/Llama-2-13b-chat-hf" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Llama-2-13b-chat-hf</a>

llama2-13b-chat-fixed-5shot

llama3

1,072

13

true

false

true

62.44

false

2025-04-08

0

meta-llama/Llama-2-13b-chat-hf

48.337138

{ "Exact F1 entity": 0.553 }

{ "Exact F1 entity": 55.300000000000004 }

{ "Exact F1 entity": 0.4847 }

{ "Exact F1 entity": 48.47 }

{ "Macro F1": 0.0967, "Weighted F1": 0.1554 }

{ "Macro F1": 9.67, "Weighted F1": 15.540000000000001 }

{ "Macro F1": 0.1663, "Weighted F1": 0.5938 }

{ "Macro F1": 16.63, "Weighted F1": 59.38 }

{ "Macro F1": 0.1797, "Weighted F1": 0.2229 }

{ "Macro F1": 17.97, "Weighted F1": 22.29 }

{ "Macro F1": 0.3305, "Weighted F1": 0.4395 }

{ "Macro F1": 33.050000000000004, "Weighted F1": 43.95 }

{ "Accuracy": 0.6, "Macro-F1": 0.5268 }

{ "Accuracy": 60, "Macro-F1": 52.68000000000001 }

{ "Accuracy": 0.3504, "Macro-F1": 0.2875 }

{ "Accuracy": 35.04, "Macro-F1": 28.749999999999996 }

{ "bart": -4.8409, "bert": 0.6788, "rouge1": 0.2927, "rougeL": 0.1629, "rough2": 0.078 }

{ "bart": -484.09000000000003, "bert": 67.88, "rouge1": 29.270000000000003, "rougeL": 16.29, "rough2": 7.8 }

{ "bart": -5.5624, "bert": 0.6743, "rouge1": 0.1785, "rougeL": 0.1205, "rough2": 0.0234 }

{ "bart": -556.24, "bert": 67.43, "rouge1": 17.849999999999998, "rougeL": 12.049999999999999, "rough2": 2.34 }

{ "bart": -3.3564, "bert": 0.7287, "dcr": 9.8197, "fkg": 12.4712, "rouge1": 0.412, "rougeL": 0.2283, "rough2": 0.1567 }

{ "bart": -335.64, "bert": 72.87, "dcr": 981.9699999999999, "fkg": 1247.12, "rouge1": 41.199999999999996, "rougeL": 22.830000000000002, "rough2": 15.67 }

{ "bart": -4.2425, "bert": 0.6829, "dcr": 8.977, "fkg": 16.1425, "rouge1": 0.2949, "rougeL": 0.1656, "rough2": 0.084 }

{ "bart": -424.25, "bert": 68.28999999999999, "dcr": 897.7, "fkg": 1614.2499999999998, "rouge1": 29.49, "rougeL": 16.56, "rough2": 8.4 }

meta-llama/Llama-2-13b-chat-hfbfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

LlamaForCausalLM

<a target="_blank" href="https://huggingface.co/meta-llama/Llama-2-13b-chat-hf" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Llama-2-13b-chat-hf</a>

llama2-13b-chat-medprompt-1shot

llama3

1,072

13

true

false

true

62.44

false

2025-04-08

0

meta-llama/Llama-2-13b-chat-hf

48.337138

{ "Exact F1 entity": 0.5529 }

{ "Exact F1 entity": 55.28999999999999 }

{ "Exact F1 entity": 0.4696 }

{ "Exact F1 entity": 46.96 }

{ "Macro F1": 0.097, "Weighted F1": 0.1505 }

{ "Macro F1": 9.700000000000001, "Weighted F1": 15.049999999999999 }

{ "Macro F1": 0.1316, "Weighted F1": 0.1701 }

{ "Macro F1": 13.16, "Weighted F1": 17.01 }

{ "Macro F1": 0.2792, "Weighted F1": 0.3334 }

{ "Macro F1": 27.92, "Weighted F1": 33.339999999999996 }

{ "Macro F1": 0.5254, "Weighted F1": 0.646 }

{ "Macro F1": 52.54, "Weighted F1": 64.60000000000001 }

{ "Accuracy": 0.384, "Macro-F1": 0.3696 }

{ "Accuracy": 38.4, "Macro-F1": 36.96 }

{ "Accuracy": 0.3378, "Macro-F1": 0.2384 }

{ "Accuracy": 33.78, "Macro-F1": 23.84 }

{ "bart": -4.7869, "bert": 0.7017, "rouge1": 0.3476, "rougeL": 0.1969, "rough2": 0.117 }

{ "bart": -478.69, "bert": 70.17, "rouge1": 34.760000000000005, "rougeL": 19.689999999999998, "rough2": 11.700000000000001 }

{ "bart": -5.6137, "bert": 0.6377, "rouge1": 0.1452, "rougeL": 0.0983, "rough2": 0.0192 }

{ "bart": -561.37, "bert": 63.77, "rouge1": 14.52, "rougeL": 9.83, "rough2": 1.92 }

{ "bart": -3.4761, "bert": 0.734, "dcr": 10.0548, "fkg": 12.029, "rouge1": 0.4082, "rougeL": 0.226, "rough2": 0.1476 }

{ "bart": -347.61, "bert": 73.4, "dcr": 1005.48, "fkg": 1202.9, "rouge1": 40.82, "rougeL": 22.6, "rough2": 14.760000000000002 }

{ "bart": -3.8849, "bert": 0.7473, "dcr": 10.9964, "fkg": 14.1853, "rouge1": 0.426, "rougeL": 0.233, "rough2": 0.1401 }

{ "bart": -388.49, "bert": 74.72999999999999, "dcr": 1099.6399999999999, "fkg": 1418.53, "rouge1": 42.6, "rougeL": 23.3, "rough2": 14.01 }

meta-llama/Llama-2-13b-chat-hfbfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

LlamaForCausalLM

<a target="_blank" href="https://huggingface.co/meta-llama/Llama-2-13b-chat-hf" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Llama-2-13b-chat-hf</a>

llama2-13b-chat-medprompt-2shot

llama3

1,072

13

true

false

true

62.44

false

2025-04-08

0

meta-llama/Llama-2-13b-chat-hf

48.337138

{ "Exact F1 entity": 0.6184 }

{ "Exact F1 entity": 61.839999999999996 }

{ "Exact F1 entity": 0.5466 }

{ "Exact F1 entity": 54.66 }

{ "Macro F1": 0.1477, "Weighted F1": 0.7055 }

{ "Macro F1": 14.77, "Weighted F1": 70.55 }

{ "Macro F1": 0.146, "Weighted F1": 0.2625 }

{ "Macro F1": 14.6, "Weighted F1": 26.25 }

{ "Macro F1": 0.299, "Weighted F1": 0.334 }

{ "Macro F1": 29.9, "Weighted F1": 33.4 }

{ "Macro F1": 0.5352, "Weighted F1": 0.6526 }

{ "Macro F1": 53.52, "Weighted F1": 65.25999999999999 }

{ "Accuracy": 0.212, "Macro-F1": 0.2182 }

{ "Accuracy": 21.2, "Macro-F1": 21.82 }

{ "Accuracy": 0.3621, "Macro-F1": 0.2603 }

{ "Accuracy": 36.21, "Macro-F1": 26.029999999999998 }

{ "bart": -4.6472, "bert": 0.697, "rouge1": 0.3331, "rougeL": 0.1852, "rough2": 0.1061 }

{ "bart": -464.71999999999997, "bert": 69.69999999999999, "rouge1": 33.31, "rougeL": 18.52, "rough2": 10.61 }

{ "bart": -5.623, "bert": 0.6319, "rouge1": 0.15, "rougeL": 0.1015, "rough2": 0.0196 }

{ "bart": -562.3000000000001, "bert": 63.190000000000005, "rouge1": 15, "rougeL": 10.15, "rough2": 1.96 }

{ "bart": -3.393, "bert": 0.7322, "dcr": 10.0906, "fkg": 11.7515, "rouge1": 0.4198, "rougeL": 0.2339, "rough2": 0.1559 }

{ "bart": -339.29999999999995, "bert": 73.22, "dcr": 1009.0600000000001, "fkg": 1175.15, "rouge1": 41.980000000000004, "rougeL": 23.39, "rough2": 15.590000000000002 }

{ "bart": -3.7997, "bert": 0.7484, "dcr": 10.8053, "fkg": 14.2004, "rouge1": 0.4414, "rougeL": 0.2392, "rough2": 0.1472 }

{ "bart": -379.97, "bert": 74.83999999999999, "dcr": 1080.53, "fkg": 1420.04, "rouge1": 44.14, "rougeL": 23.919999999999998, "rough2": 14.719999999999999 }

meta-llama/Llama-2-13b-chat-hfbfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

LlamaForCausalLM

<a target="_blank" href="https://huggingface.co/meta-llama/Llama-2-13b-chat-hf" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Llama-2-13b-chat-hf</a>

llama2-13b-chat-medprompt-5shot

llama3

1,072

13

true

false

true

62.44

false

2025-04-08

0

meta-llama/Llama-2-13b-chat-hf

48.337138

{ "Exact F1 entity": 0.6922 }

{ "Exact F1 entity": 69.22 }

{ "Exact F1 entity": 0.5897 }

{ "Exact F1 entity": 58.97 }

{ "Macro F1": 0.1206, "Weighted F1": 0.2195 }

{ "Macro F1": 12.06, "Weighted F1": 21.95 }

{ "Macro F1": 0.2506, "Weighted F1": 0.5353 }

{ "Macro F1": 25.06, "Weighted F1": 53.53 }

{ "Macro F1": 0.3745, "Weighted F1": 0.4209 }

{ "Macro F1": 37.45, "Weighted F1": 42.089999999999996 }

{ "Macro F1": 0.4607, "Weighted F1": 0.5991 }

{ "Macro F1": 46.07, "Weighted F1": 59.91 }

{ "Accuracy": 0.346, "Macro-F1": 0.2581 }

{ "Accuracy": 34.599999999999994, "Macro-F1": 25.81 }

{ "Accuracy": 0.3291, "Macro-F1": 0.2794 }

{ "Accuracy": 32.910000000000004, "Macro-F1": 27.939999999999998 }

{ "bart": -4.7485, "bert": 0.6881, "rouge1": 0.3086, "rougeL": 0.1746, "rough2": 0.0856 }

{ "bart": -474.85, "bert": 68.81, "rouge1": 30.86, "rougeL": 17.46, "rough2": 8.559999999999999 }

{ "bart": -5.6402, "bert": 0.6281, "rouge1": 0.1511, "rougeL": 0.1025, "rough2": 0.0201 }

{ "bart": -564.02, "bert": 62.81, "rouge1": 15.110000000000001, "rougeL": 10.25, "rough2": 2.01 }

{ "bart": -3.378, "bert": 0.7293, "dcr": 9.8953, "fkg": 12.5125, "rouge1": 0.4144, "rougeL": 0.2295, "rough2": 0.156 }

{ "bart": -337.8, "bert": 72.92999999999999, "dcr": 989.5300000000001, "fkg": 1251.25, "rouge1": 41.44, "rougeL": 22.95, "rough2": 15.6 }

{ "bart": -4.0586, "bert": 0.6902, "dcr": 9.0939, "fkg": 16.5514, "rouge1": 0.3219, "rougeL": 0.179, "rough2": 0.0991 }

{ "bart": -405.86, "bert": 69.02000000000001, "dcr": 909.39, "fkg": 1655.14, "rouge1": 32.190000000000005, "rougeL": 17.9, "rough2": 9.91 }

meta-llama/Llama-2-13b-chat-hfbfloat16

bfloat16

💬 chat models (RLHF, DPO, IFT, ...)

💬

Original

LlamaForCausalLM

<a target="_blank" href="https://huggingface.co/meta-llama/Llama-2-13b-chat-hf" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Llama-2-13b-chat-hf</a>

pmc-llama-13b

llama3

1,072

13

true

false

true

62.44

false

2025-04-08

0

meta-llama/Llama-2-13b-chat-hf

48.337138

{ "Exact F1 entity": 0.9063 }

{ "Exact F1 entity": 90.63 }

{ "Exact F1 entity": 0.8353 }

{ "Exact F1 entity": 83.53 }

{ "Macro F1": 0.3111, "Weighted F1": 0.7659 }

{ "Macro F1": 31.11, "Weighted F1": 76.59 }

{ "Macro F1": 0.57, "Weighted F1": 0.8438 }

{ "Macro F1": 56.99999999999999, "Weighted F1": 84.38 }

{ "Macro F1": 0.4221, "Weighted F1": 0.4536 }

{ "Macro F1": 42.21, "Weighted F1": 45.36 }

{ "Macro F1": 0.4273, "Weighted F1": 0.5632 }

{ "Macro F1": 42.730000000000004, "Weighted F1": 56.32 }

{ "Accuracy": 0.768, "Macro-F1": 0.5358 }

{ "Accuracy": 76.8, "Macro-F1": 53.580000000000005 }

{ "Accuracy": 0.3975, "Macro-F1": 0.3932 }

{ "Accuracy": 39.75, "Macro-F1": 39.32 }

{ "bart": -4.9212, "bert": 0.6542, "rouge1": 0.2707, "rougeL": 0.1684, "rough2": 0.0901 }

{ "bart": -492.12, "bert": 65.42, "rouge1": 27.07, "rougeL": 16.84, "rough2": 9.01 }

{ "bart": -6.7826, "bert": 0.0275, "rouge1": 0.0081, "rougeL": 0.0059, "rough2": 0.0015 }

{ "bart": -678.26, "bert": 2.75, "rouge1": 0.8099999999999999, "rougeL": 0.59, "rough2": 0.15 }

{ "bart": -3.4212, "bert": 0.7283, "dcr": 9.7508, "fkg": 11.066, "rouge1": 0.4022, "rougeL": 0.237, "rough2": 0.165 }

{ "bart": -342.12, "bert": 72.83, "dcr": 975.08, "fkg": 1106.6000000000001, "rouge1": 40.22, "rougeL": 23.7, "rough2": 16.5 }

{ "bart": -3.6807, "bert": 0.7569, "dcr": 10.5341, "fkg": 13.637, "rouge1": 0.4615, "rougeL": 0.2577, "rough2": 0.1658 }

{ "bart": -368.07, "bert": 75.69, "dcr": 1053.41, "fkg": 1363.7, "rouge1": 46.150000000000006, "rougeL": 25.77, "rough2": 16.580000000000002 }