Add new SentenceTransformer model.

README.md

@@ -101,7 +101,7 @@ The model was trained with the parameters:
 Parameters of the fit()-Method:
 ```
 {
-    "epochs": 1,
+    "epochs": 10,
     "evaluation_steps": 0,
     "evaluator": "NoneType",
     "max_grad_norm": 1,
@@ -111,7 +111,7 @@ Parameters of the fit()-Method:
     },
     "scheduler": "WarmupLinear",
     "steps_per_epoch": null,
-    "warmup_steps": 11,
+    "warmup_steps": 102,
     "weight_decay": 0.01
 }
 ```
@@ -120,7 +120,7 @@ Parameters of the fit()-Method:
 ## Full Model Architecture
 ```
 SentenceTransformer(
-  (0): Transformer({'max_seq_length': 32, 'do_lower_case': False}) with Transformer model: RobertaModel 
+  (0): Transformer({'max_seq_length': 64, 'do_lower_case': False}) with Transformer model: RobertaModel 
   (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False})
 )
 ```

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:07e6765740839d2bf6330d7758317881e72517eb8e6179c6c0c2694409fc9b1a
+oid sha256:24da9733f9296221e8c390c10cf7b2f425c4027b20b5a64acb6be77c68957c9b
 size 540015464

sentence_bert_config.json

@@ -1,4 +1,4 @@
 {
-  "max_seq_length": 32,
+  "max_seq_length": 64,
   "do_lower_case": false
 }

tokenizer.json

@@ -2,7 +2,7 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 32,
+    "max_length": 64,
     "strategy": "LongestFirst",
     "stride": 0
   },