Add new SentenceTransformer model.

README.md

@@ -47,9 +47,9 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 4612 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 1153 with parameters:
 ```
-{'batch_size': 2, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
+{'batch_size': 8, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
 
 **Loss**:
@@ -72,7 +72,7 @@ Parameters of the fit()-Method:
     },
     "scheduler": "WarmupLinear",
     "steps_per_epoch": null,
-    "warmup_steps": 46120,
+    "warmup_steps": 11530,
     "weight_decay": 0.01
 }
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "intfloat/multilingual-e5-base",
+  "_name_or_path": "alixnaveed/MERGEDMODELV1",
   "architectures": [
     "XLMRobertaModel"
   ],

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:046a3d93889f2b0cf41c0bc4ad87b55420047c896cf9c1eccdd49ba2c44e7f81
+oid sha256:e2446871b3ba7dc244657e8c12717aba6ccc3ee0ef333c8b4b32d3e30e25b8c5
 size 1112197096

tokenizer_config.json

@@ -46,9 +46,16 @@
   "cls_token": "<s>",
   "eos_token": "</s>",
   "mask_token": "<mask>",
+  "max_length": 512,
   "model_max_length": 512,
+  "pad_to_multiple_of": null,
   "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "sep_token": "</s>",
+  "stride": 0,
   "tokenizer_class": "XLMRobertaTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }