Modified validation and training for linktransformer model

.gitattributes

@@ -37,3 +37,4 @@ pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
 model.safetensors filter=lfs diff=lfs merge=lfs -text
 .git/lfs/objects/af/c3/afc308c30b585f63df930d326b7d368bd14b8099d8440c3165dc0568c17e891a filter=lfs diff=lfs merge=lfs -text
 .git/lfs/objects/17/88/17884b92bb03fce9b0e3de84052aa11df38e25aec5a1e7be3fd563d047fcaa1c filter=lfs diff=lfs merge=lfs -text
+.git/lfs/objects/a7/fa/a7fa346be10b7a4615f8feb12a01c6ce7b28687d60f2e03b5b1d9dd8f6dcfbe1 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 75 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 68 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": 70,
-    "evaluation_steps": 38,
+    "evaluation_steps": 34,
     "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": 5250,
+    "warmup_steps": 4760,
     "weight_decay": 0.01
 }
 ```

model.safetensors

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