config.json

{
 "_name_or_path": "/tmp/mmarco-mMiniLMv2-L12-H384-v1-stripped",
 "architectures": [
 "XLMRobertaForSequenceClassification"
 ],
 "attention_probs_dropout_prob": 0.1,
 "bos_token_id": 0,
 "classifier_dropout": null,
 "eos_token_id": 2,
 "hidden_act": "gelu",
 "hidden_dropout_prob": 0.1,
 "hidden_size": 384,
 "id2label": {
 "0": "LABEL_0"
 },
 "initializer_range": 0.02,
 "intermediate_size": 1536,
 "label2id": {
 "LABEL_0": 0
 },
 "layer_norm_eps": 1e-05,
 "max_position_embeddings": 514,
 "model_type": "xlm-roberta",
 "num_attention_heads": 12,
 "num_hidden_layers": 4,
 "pad_token_id": 1,
 "position_embedding_type": "absolute",
 "pruned_heads": {
 "0": [
 2,
 4,
 5,
 6,
 8,
 9,
 10,
 11
 ],
 "1": [
 2,
 3,
 5,
 6,
 7,
 8,
 10,
 11
 ],
 "2": [
 0,
 2,
 3,
 4,
 5,
 7,
 8,
 9
 ],
 "3": [
 0,
 2,
 3,
 4,
 5,
 7,
 8,
 10
 ]
 },
 "sbert_ce_default_activation_function": "torch.nn.modules.linear.Identity",
 "torch_dtype": "float32",
 "transformers_version": "4.20.1",
 "type_vocab_size": 1,
 "use_cache": true,
 "vocab_size": 250002
}