Training in progress, epoch 1

config.json

@@ -0,0 +1,24 @@
+{
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

eval/Information-Retrieval_evaluation_results.csv

@@ -0,0 +1,2 @@
+epoch,steps,query_active_dims,query_sparsity_ratio,corpus_active_dims,corpus_sparsity_ratio,dot-Accuracy@1,dot-Accuracy@3,dot-Accuracy@5,dot-Accuracy@10,dot-Precision@1,dot-Recall@1,dot-Precision@3,dot-Recall@3,dot-Precision@5,dot-Recall@5,dot-Precision@10,dot-Recall@10,dot-MRR@10,dot-NDCG@10,dot-MAP@100,query_active_dims,query_sparsity_ratio,corpus_active_dims,corpus_sparsity_ratio
+1.0,4127,0.4196,0.7288,0.8446,0.9318,0.4196,0.4059666666666666,0.2485333333333333,0.71415,0.175,0.8335166666666666,0.09775999999999999,0.9266333333333334,0.5944900793650799,0.6726718998333535,0.5910494622853143,19.089599609375,0.9993745626233741,356.85000872983466,0.9883084329752363

model.safetensors

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+size 17671560

runs/Jul23_08-51-52_9fa20eba8c95/events.out.tfevents.1753260714.9fa20eba8c95.19.0

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,58 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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