Training in progress, step 500

config.json

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+{
+  "architectures": [
+    "GptBertForMaskedLM"
+  ],
+  "attention_dropout": 0.0,
+  "attn_implementation": null,
+  "auto_map": {
+    "AutoConfig": "configuration_gptbert.GptBertConfig",
+    "AutoModel": "modeling_gptbert.GptBertModel",
+    "AutoModelForCausalLM": "modeling_gptbert.GptBertForCausalLM",
+    "AutoModelForMaskedLM": "modeling_gptbert.GptBertForMaskedLM",
+    "AutoModelForMultipleChoice": "modeling_gptbert.GptBertForMultipleChoice",
+    "AutoModelForQuestionAnswering": "modeling_gptbert.GptBertForQuestionAnswering",
+    "AutoModelForSequenceClassification": "modeling_gptbert.GptBertForSequenceClassification",
+    "AutoModelForTokenClassification": "modeling_gptbert.GptBertForTokenClassification"
+  },
+  "bos_token_id": 1,
+  "classifier_dropout": 0.2,
+  "deterministic_flash_attn": false,
+  "dtype": "float32",
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+  "eos_token_id": 2,
+  "global_window_length": 8192,
+  "hidden_dropout": 0.0,
+  "hidden_size": 640,
+  "intermediate_size": 1664,
+  "layer_norm_eps": 1e-07,
+  "local_global_ratio": 4,
+  "local_window_length": 256,
+  "mask_token_id": 4,
+  "max_sequence_length": 16384,
+  "model": "norbert4",
+  "num_attention_heads": 10,
+  "num_layers": 24,
+  "pad_token_id": 3,
+  "query_key_head_size": 64,
+  "rope_theta": 160000,
+  "transformers_version": "4.57.3",
+  "unk_token_id": 0,
+  "use_cache": false,
+  "value_head_size": 64,
+  "vocab_size": 51200
+}

eval/Information-Retrieval_evaluation_NanoNFCorpus_results.csv

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eval/NanoBEIR_evaluation_mean_results.csv

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+epoch,steps,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,avg_flops
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model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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