training_172e61b

README.md

@@ -116,7 +116,7 @@ Parameters of the fit()-Method:
 ## Full Model Architecture
 ```
 SentenceTransformer(
-  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: BertModel 
+  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
   (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})
 )
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-german-cased",
+  "_name_or_path": "/Users/rahkakaveebaskaran/.cache/torch/sentence_transformers/bert-base-german-cased",
   "architectures": [
     "BertModel"
   ],

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:a770dca55b32474ad3d9a25a060ff82d1cc784593dd0592a017f299626890fa6
 size 436393773

sentence_bert_config.json

@@ -1,4 +1,4 @@
 {
-  "max_seq_length": 256,
+  "max_seq_length": 512,
   "do_lower_case": false
 }

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d54bebe9160e2e5bce47d50dcad91e0fc9e1df3c41b46352ccc6bb8475c652ef
+oid sha256:3a99314ea39f5086f16c7b9507b211499ac4f3e0f0a51309312535937187a2da
 size 726526

tokenizer_config.json

@@ -2,8 +2,8 @@
   "cls_token": "[CLS]",
   "do_lower_case": false,
   "mask_token": "[MASK]",
-  "model_max_length": 512,
-  "name_or_path": "bert-base-german-cased",
+  "model_max_length": 1000000000000000019884624838656,
+  "name_or_path": "/Users/rahkakaveebaskaran/.cache/torch/sentence_transformers/bert-base-german-cased",
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "special_tokens_map_file": null,