File size: 1,780 Bytes
f496094 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | {
"add_cross_attention": false,
"architectures": [
"XLMRobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"custom_head": "entity_start_marker_meanmask (concat E1,E2 -> Linear); [CLS] is not read",
"dtype": "float32",
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"id2label": {
"0": "NO_RELATION",
"1": "semantically_similar_to",
"2": "supersedes_or_conflicts",
"3": "depends_on"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"is_decoder": false,
"label2id": {
"NO_RELATION": 0,
"semantically_similar_to": 1,
"supersedes_or_conflicts": 2,
"depends_on": 3
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"num_labels": 4,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"sbert_ce_default_activation_function": "torch.nn.modules.linear.Identity",
"tie_word_embeddings": true,
"transformers_version": "5.1.0",
"type_vocab_size": 1,
"ultracode_note": "Inference artefact is model.onnx (inputs: input_ids, attention_mask; output: logits[batch, 4]). Feed the pair as (empty query, marked passage).",
"use_cache": true,
"vocab_size": 250006,
"ultracode": {
"format": "raw-safetensors/1",
"exported_from": "model.onnx",
"onnx_sha256": "9189bfedd376d2a08acd18e7b490000d5f78458c3e4388d1089704319a115840",
"head": "entity_pool",
"position_ids": "roberta",
"pooling": "mean of the last hidden state over the tokens equal to each marker id; concat(E1, E2) -> classifier",
"entity_marker_ids": [
250002,
250004
]
}
}
|