push model

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

artifact.metadata

@@ -0,0 +1,58 @@
+{
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+    "doc_token_id": "[unused1]",
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+    "doc_token": "[D]",
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+    "kmeans_niters": 4,
+    "resume": false,
+    "similarity": "l2",
+    "bsize": 64,
+    "accumsteps": 1,
+    "lr": 5e-6,
+    "maxsteps": 400000,
+    "save_every": null,
+    "warmup": null,
+    "warmup_bert": null,
+    "relu": false,
+    "nway": 2,
+    "use_ib_negatives": false,
+    "reranker": false,
+    "distillation_alpha": 1.0,
+    "ignore_scores": false,
+    "model_name": "xlm-roberta-large",
+    "force_resize_embeddings": true,
+    "query_maxlen": 32,
+    "attend_to_mask_tokens": false,
+    "interaction": "colbert",
+    "dim": 128,
+    "doc_maxlen": 180,
+    "mask_punctuation": true,
+    "checkpoint": "\/exp\/eyang\/data\/checkpoints\/colbert_xlm-roberta-large\/train.py\/hc4langs-5e-6\/checkpoints\/colbert.dnn",
+    "triples": "\/expscratch\/eyang\/workspace\/clir-pretrain\/multilingual\/mixed_msmarco\/hc4_combined.tsv",
+    "collection": null,
+    "queries": null,
+    "index_name": null,
+    "overwrite": false,
+    "root": "\/expscratch\/eyang\/checkpoints",
+    "experiment": "colbert_xlm-roberta-large",
+    "index_root": null,
+    "name": "2023-07\/03\/21.04.26",
+    "rank": 0,
+    "nranks": 1,
+    "amp": true,
+    "gpus": 0,
+    "meta": {
+        "hostname": "test1",
+        "git_branch": "plaid-x",
+        "git_hash": "c9eb35b2b1e073b1e4c296587bc952c61fb11d9b",
+        "git_commit_datetime": "2023-07-03 20:22:10-04:00",
+        "current_datetime": "Jul 03, 2023 ;  9:36PM EDT (-0400)",
+        "cmd": "\/home\/hltcoe\/eyang\/.conda\/envs\/interactive-new\/bin\/ipython --profile=eugene",
+        "version": "colbert-v0.4"
+    }
+}

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "xlm-roberta-large",
+  "architectures": [
+    "HF_ColBERT"
+  ],
+  "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,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "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": "4.25.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250004
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
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special_tokens_map.json

@@ -0,0 +1,15 @@
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tokenizer.json

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tokenizer_config.json

@@ -0,0 +1,20 @@
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+  "mask_token": {
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+  "name_or_path": "xlm-roberta-large",
+  "pad_token": "<pad>",
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+  "special_tokens_map_file": null,
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}