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README.md

@@ -47,7 +47,7 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 85 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 38 with parameters:
 ```
 {'batch_size': 20, 'sampler': 'torch.utils.data.sampler.SequentialSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
@@ -62,7 +62,7 @@ The model was trained with the parameters:
 Parameters of the fit()-Method:
 ```
 {
-    "epochs": 50,
+    "epochs": 10,
     "evaluation_steps": 50,
     "evaluator": "sentence_transformers.evaluation.InformationRetrievalEvaluator.InformationRetrievalEvaluator",
     "max_grad_norm": 1,
@@ -72,7 +72,7 @@ Parameters of the fit()-Method:
     },
     "scheduler": "WarmupLinear",
     "steps_per_epoch": null,
-    "warmup_steps": 425,
+    "warmup_steps": 38,
     "weight_decay": 0.01
 }
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "ls-da3m0ns/bge_large_medical",
+  "_name_or_path": "bge_large_medical",
   "architectures": [
     "BertModel"
   ],

eval/Information-Retrieval_evaluation_results.csv

@@ -99,3 +99,13 @@ epoch,steps,cos_sim-Accuracy@1,cos_sim-Accuracy@3,cos_sim-Accuracy@5,cos_sim-Acc
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model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41ebaf5063eb7632c4528d1e92a57acd222f6ceee0ccb141e76802043695f110
+oid sha256:26978470332a7b6f3f3ddb3fc37c7f04b2ab7cdc1377c978d21dfeb6d3a44a55
 size 1340612432