Update config.json

config.json

@@ -3,49 +3,17 @@
   "architectures": [
     "XLMRobertaModel"
   ],
+  "model_type": "xlm-roberta",
+  "max_position_embeddings": 8194,
+  "pad_token_id": 1,
   "attention_probs_dropout_prob": 0.1,
-  "auto_map": {
-    "AutoConfig": "jinaai/xlm-roberta-flash-implementation--configuration_xlm_roberta.XLMRobertaFlashConfig",
-    "AutoModel": "jinaai/xlm-roberta-flash-implementation--modeling_lora.XLMRobertaLoRA",
-    "AutoModelForMaskedLM": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaForMaskedLM",
-    "AutoModelForPreTraining": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaForPreTraining"
-  },
-  "bos_token_id": 0,
-  "classifier_dropout": null,
-  "emb_pooler": null,
-  "eos_token_id": 2,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 1024,
   "initializer_range": 0.02,
   "intermediate_size": 4096,
   "layer_norm_eps": 1e-05,
-  "load_trained_adapters": true,
-  "lora_adaptations": ["retrieval.query", "retrieval.passage", "separation", "classification", "text-matching"],
-  "lora_alpha": 1,
-  "lora_dropout_p": 0.0,
-  "lora_main_params_trainable": false,
-  "lora_rank": 4,
-  "matryoshka_dimensions": [32, 64, 128, 256, 512, 768, 1024],
-  "max_position_embeddings": 8194,
   "num_attention_heads": 16,
   "num_hidden_layers": 24,
-  "output_past": true,
-  "pad_token_id": 1,
-  "position_embedding_type": "rotary",
-  "rotary_emb_base": 20000.0,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.30.2",
-  "truncate_dim": null,
-  "type_vocab_size": 1,
-  "use_cache": true,
-  "use_flash_attn": true,
-  "vocab_size": 250002,
-  "task_instructions": {
-    "retrieval.query": "Represent the query for retrieving evidence documents: ",
-    "retrieval.passage": "Represent the document for retrieval: ",
-    "separation": "",
-    "classification": "",
-    "text-matching": ""
-  }
-}
+  "vocab_size": 250002
+}