Training in progress, step 44

config.json

@@ -4,7 +4,7 @@
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
-  "dtype": "float32",
+  "dtype": "bfloat16",
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,

eval/Information-Retrieval_evaluation_test_results.csv

@@ -1,3 +1,4 @@
 epoch,steps,cosine-Accuracy@1,cosine-Precision@1,cosine-Recall@1,cosine-MRR@1,cosine-NDCG@10,cosine-MAP@100
 0,0,0.5763286334056399,0.5763286334056399,0.5589816867630893,0.5763286334056399,0.7619419081029518,0.7107794631883741,{1: np.float64(0.3488530268041688)},{1: np.float64(0.1634818016054941)}
 0,0,0.5761591648590022,0.5761591648590022,0.5588122182164516,0.5761591648590022,0.7618942742503089,0.7107009769861719,{1: np.float64(0.3491200519822629)},{1: np.float64(0.1635457705044361)}
+0,0,0.5763286334056399,0.5763286334056399,0.5589816867630893,0.5763286334056399,0.7619419081029518,0.7107794631883741,{1: np.float64(0.3488530268041688)},{1: np.float64(0.1634818016054941)}

final_metrics.json

@@ -0,0 +1,10 @@
+{
+    "test_cosine_accuracy@1": 0.5889709869848156,
+    "test_cosine_precision@1": 0.5889709869848156,
+    "test_cosine_recall@1": 0.5717194020936733,
+    "test_cosine_ndcg@10": 0.7658669020347815,
+    "test_cosine_mrr@1": 0.5889709869848156,
+    "test_cosine_map@100": 0.7173887234797093,
+    "test_cosine_auc_precision_cache_hit_ratio": 0.36369386712257074,
+    "test_cosine_auc_similarity_distribution": 0.1931041228618421
+}

model.safetensors

@@ -1,3 +1,3 @@
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+size 45437864

training_args.bin

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 size 6289