Modified validation and training for linktransformer model

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
+.git/lfs/objects/21/f6/21f62a2f5d51a4a54c4b42e01fb10b45fc505cae8c7ad33ea62a89790a951532 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -97,7 +97,7 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 1103 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 1107 with parameters:
 ```
 {'batch_size': 64, 'sampler': 'torch.utils.data.dataloader._InfiniteConstantSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
@@ -110,7 +110,7 @@ Parameters of the fit()-Method:
 ```
 {
     "epochs": 100,
-    "evaluation_steps": 11030,
+    "evaluation_steps": 11070,
     "evaluator": "sentence_transformers.evaluation.SequentialEvaluator.SequentialEvaluator",
     "max_grad_norm": 1,
     "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
@@ -119,7 +119,7 @@ Parameters of the fit()-Method:
     },
     "scheduler": "WarmupLinear",
     "steps_per_epoch": null,
-    "warmup_steps": 110300,
+    "warmup_steps": 110700,
     "weight_decay": 0.01
 }
 ```

pytorch_model.bin

@@ -1,3 +1,3 @@
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