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[AutoNLP] switch to ernie-3.0-tiny-v2 models #4827

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Feb 16, 2023
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[AutoNLP] switch to ernie-3.0-tiny-v2 models #4827

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sijunhe Feb 16, 2023
2d71a33
Update text_classification.py
sijunhe Feb 16, 2023
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13 changes: 7 additions & 6 deletions paddlenlp/experimental/autonlp/text_classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -130,11 +130,12 @@ def _model_candidates(self) -> List[Dict[str, Any]]:
"models",
[
"ernie-3.0-xbase-zh", # 20-layer, 1024-hidden, 16-heads, 296M parameters.
"ernie-3.0-base-zh", # 12-layer, 768-hidden, 12-heads, 118M parameters.
"ernie-3.0-medium-zh", # 6-layer, 768-hidden, 12-heads, 75M parameters.
"ernie-3.0-mini-zh", # 6-layer, 384-hidden, 12-heads, 27M parameters
"ernie-3.0-micro-zh", # 4-layer, 384-hidden, 12-heads, 23M parameters
"ernie-3.0-nano-zh", # 4-layer, 312-hidden, 12-heads, 18M parameters.
"ernie-3.0-tiny-base-v2-zh", # 12-layer, 768-hidden, 12-heads, 118M parameters.
"ernie-3.0-tiny-medium-v2-zh", # 6-layer, 768-hidden, 12-heads, 75M parameters.
"ernie-3.0-tiny-mini-v2-zh", # 6-layer, 384-hidden, 12-heads, 27M parameters
"ernie-3.0-tiny-micro-v2-zh", # 4-layer, 384-hidden, 12-heads, 23M parameters
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"ernie-3.0-tiny-nano-v2-zh", # 4-layer, 312-hidden, 12-heads, 18M parameters.
"ernie-3.0-tiny-pico-v2-zh", # 3-layer, 128-hidden, 2-heads, 5.9M parameters.
],
)
english_models = hp.choice(
Expand All @@ -144,9 +145,9 @@ def _model_candidates(self) -> List[Dict[str, Any]]:
"roberta-large", # 24-layer, 1024-hidden, 16-heads, 334M parameters. Case-sensitive
"roberta-base", # 12-layer, 768-hidden, 12-heads, 110M parameters. Case-sensitive
"distilroberta-base", # 6-layer, 768-hidden, 12-heads, 66M parameters. Case-sensitive
"ernie-3.0-tiny-mini-v2-en", # 6-layer, 384-hidden, 12-heads, 27M parameters
"ernie-2.0-base-en", # 12-layer, 768-hidden, 12-heads, 103M parameters. Trained on lower-cased English text.
"ernie-2.0-large-en", # 24-layer, 1024-hidden, 16-heads, 336M parameters. Trained on lower-cased English text.
"distilbert-base-uncased", # 6-layer, 768-hidden, 12-heads, 66M parameters
],
)
return [
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