Training in progress, step 500

Information-Retrieval_evaluation_BeIR-touche2020-subset-test_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoArguAna_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoClimateFEVER_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoDBPedia_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoFEVER_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoFiQA2018_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoHotpotQA_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoMSMARCO_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.36,0.58,0.68,0.76,0.36,0.36,0.19333333333333333,0.58,0.136,0.68,0.07600000000000001,0.76,0.48633333333333334,0.5522122196843595,0.4958040190560276
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Information-Retrieval_evaluation_NanoNFCorpus_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.3,0.44,0.46,0.62,0.3,0.010724742605801047,0.30666666666666664,0.051645539344217166,0.28800000000000003,0.07177145031865442,0.248,0.09955036044056806,0.3834603174603175,0.2718677887737839,0.10716744808325447
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Information-Retrieval_evaluation_NanoNQ_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.44,0.56,0.6,0.66,0.44,0.41,0.19333333333333333,0.53,0.128,0.58,0.07,0.64,0.505079365079365,0.5277371826996979,0.5002333969355556
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Information-Retrieval_evaluation_NanoQuoraRetrieval_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoSCIDOCS_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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Information-Retrieval_evaluation_NanoSciFact_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.42,0.58,0.66,0.76,0.42,0.375,0.21333333333333332,0.555,0.14800000000000002,0.64,0.08799999999999997,0.76,0.5227698412698413,0.5706149798130189,0.5113604476415934
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Information-Retrieval_evaluation_NanoTouche2020_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 -1,-1,0.6530612244897959,0.8367346938775511,0.8775510204081632,0.9795918367346939,0.6530612244897959,0.04662904047917206,0.5714285714285715,0.12074015540509078,0.5142857142857142,0.18419063292312893,0.4061224489795918,0.27462217999524413,0.7584143181081956,0.4774613964766897,0.36203367507677087
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NanoBEIR_evaluation_mean_results.csv

@@ -13,3 +13,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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config.json

@@ -15,7 +15,7 @@
   "max_position_embeddings": 512,
   "model_type": "bert",
   "num_attention_heads": 12,
-  "num_hidden_layers": 6,
+  "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "transformers_version": "4.57.3",

eval/Information-Retrieval_evaluation_NanoMSMARCO_results.csv

@@ -192,3 +192,6 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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eval/Information-Retrieval_evaluation_NanoNQ_results.csv

@@ -192,3 +192,6 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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eval/NanoBEIR_evaluation_mean_results.csv

@@ -192,3 +192,6 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
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final_metrics.json

@@ -1,231 +1,231 @@
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