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README.md

@@ -46,7 +46,7 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 27 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 1344 with parameters:
 ```
 {'batch_size': 10, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
@@ -62,16 +62,16 @@ Parameters of the fit()-Method:
 ```
 {
     "epochs": 1,
-    "evaluation_steps": 0,
-    "evaluator": "NoneType",
+    "evaluation_steps": 500,
+    "evaluator": "sentence_transformers.evaluation.TripletEvaluator.TripletEvaluator",
     "max_grad_norm": 1,
     "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
     "optimizer_params": {
-        "lr": 2e-05
+        "lr": 0.0001
     },
     "scheduler": "warmuplinear",
     "steps_per_epoch": null,
-    "warmup_steps": 2,
+    "warmup_steps": 134,
     "weight_decay": 0.01
 }
 ```

eval/triplet_evaluation_results_results.csv

@@ -17,3 +17,9 @@ epoch,steps,accuracy_cosinus,accuracy_manhattan,accuracy_euclidean
 0,10,0.85,0.8222222222222222,0.85
 0,20,0.8333333333333334,0.8277777777777777,0.8333333333333334
 0,-1,0.85,0.8277777777777777,0.85
+0,200,0.7060409924487594,0.6948939230492629,0.7060409924487594
+0,400,0.7107155699388709,0.7090974469615247,0.7103559870550162
+0,600,0.6432937792161093,0.6440129449838188,0.6429341963322546
+0,500,0.5976267529665588,0.5961884214311399,0.5976267529665588
+0,1000,0.7274361740381158,0.6891405969075872,0.7274361740381158
+0,-1,0.7215030564545127,0.7081984897518878,0.7209636821287306

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db36e2a09787606fa01414c626a3f63a48dfa60441b5a87355bb90c1ffb77462
+oid sha256:038c0bc46c9ec269dd7e78a46f3baf14423d3dc4d654833472c51d7132e77f13
 size 437967672