norbert3-small / config.json
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{
"architectures": [
"NorbertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"intermediate_size": 1024,
"layer_norm_eps": 1e-07,
"max_position_embeddings": 512,
"num_attention_heads": 6,
"num_hidden_layers": 12,
"position_bucket_size": 32,
"torch_dtype": "float32",
"transformers_version": "4.23.1",
"vocab_size": 50000
}