Dewpoint / ensemble_config.json
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{
"members": [
"mmbert-base",
"xlm-roberta-large"
],
"weights": [
0.5,
0.5
],
"combine": "arithmetic mean of per-word softmax posteriors",
"punct_labels": [
"O",
"COMMA",
"PERIOD",
"QUESTION",
"EXCLAM"
],
"case_labels": [
"LOWER",
"CAP",
"UPPER"
],
"punct_bias": [
0.0,
-0.25,
0.375,
-1.0,
-3.0
],
"punct_bias_per_lang": {
"ar": [
0.0,
-0.1875,
0.46875,
-0.9375,
-3.0
],
"de": [
0.0,
-0.15625,
0.5625,
-0.75,
-2.625
],
"en": [
0.0,
-0.25,
0.3125,
-0.9375,
-2.84375
],
"fr": [
0.0,
-0.28125,
0.40625,
-0.96875,
-2.9375
],
"it": [
0.0,
-0.3125,
0.75,
-0.75,
-3.0
],
"ko": [
0.0,
-0.34375,
0.25,
-0.90625,
-3.0
],
"nl": [
0.0,
-0.1875,
0.5,
-1.0,
-2.9375
],
"ro": [
0.0,
-0.40625,
0.25,
-1.125,
-2.96875
],
"zh": [
0.0,
-0.28125,
0.34375,
-1.21875,
-3.0
]
},
"calibration": {
"fitted_on": "IWSLT dev2010 (held out of every test table)",
"dev_macro_f1_argmax": 0.7191,
"dev_macro_f1_calibrated": 0.7472
},
"window": {
"max_len": 512,
"overlap_subwords": 256
},
"params": {
"mmbert-base": {
"params": 307537928,
"embedding_params": 196608768,
"dtype": "torch.float32"
},
"xlm-roberta-large": {
"params": 560950280,
"embedding_params": 256531456,
"dtype": "torch.float32"
}
}
}