commit model

README.md

@@ -1,3 +1,25 @@
 ---
 license: mit
 ---
+DPR model trained for NeuCLIR based on a XLMR-Large C3-pretrained language model with MTT with MS-MARCO English queries and translated documents in Chinese, Persian, and Russian. 
+Translation can be found in [neuMARCO](https://ir-datasets.com/neumarco.html) on `ir-datasets`. 
+
+Please cite the following papers if you use this model 
+```bibtex
+@inproceedings{sigir2022c3,
+    author = {Eugene Yang and Suraj Nair and Ramraj Chandradevan and Rebecca Iglesias-Flores and Douglas W. Oard},
+    title = {C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval},
+    booktitle = {Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (Short Paper)},
+    year = {2022},
+    url = {https://arxiv.org/abs/2204.11989}
+}
+
+@inproceedings{ecir2023mlir,
+    title = {Neural Approaches to Multilingual Information Retrieval},
+    author = {Dawn Lawrie and Eugene Yang and Douglas W Oard and James Mayfield},
+    booktitle = {Proceedings of the 45th European Conference on Information Retrieval (ECIR)},
+    year = {2023},
+    url = {https://arxiv.org/abs/2209.01335}
+}
+```
+

config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "/expscratch/eyang/checkpoints/c3pretrained_xlm-roberta-large/5e-6-en.zh.fa.ru/con2.cls.multi-con/",
+  "architectures": [
+    "XLMRobertaModel"
+  ],
+  "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": 1024,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.13.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50994f8d37c8af28332f2492ed279ff63cb83d777a3c191bb1758db60a847d91
+size 2239718641

sentencepiece.bpe.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
+size 5069051

special_tokens_map.json

@@ -0,0 +1 @@
+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}

tokenizer_config.json

@@ -0,0 +1 @@
+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sp_model_kwargs": {}, "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": "/home/hltcoe/eyang/.cache/huggingface/transformers/7766c86e10505ed9b39af34e456480399bf06e35b36b8f2b917460a2dbe94e59.a984cf52fc87644bd4a2165f1e07e0ac880272c1e82d648b4674907056912bd7", "name_or_path": "xlm-roberta-large", "tokenizer_class": "XLMRobertaTokenizer"}