🚧 (fine-tuning): additional layer of finetuning

README.md

@@ -82,7 +82,7 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 6387 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 6250 with parameters:
 ```
 {'batch_size': 16, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "sentence-transformers/paraphrase-xlm-r-multilingual-v1",
+  "_name_or_path": "silencesys/paraphrase-xlm-r-multilingual-v1-fine-tuned-for-medieval-latin",
   "architectures": [
     "XLMRobertaModel"
   ],

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:43c51ca5a417449e2ed590a618ed469a426f766ea6974a9600393a84c56fedee
+oid sha256:417627b4ea6a731bdfb51e9001f073f3cd974371b28657e805815144c197448f
 size 1112244081

tokenizer_config.json

@@ -12,7 +12,7 @@
     "single_word": false
   },
   "model_max_length": 512,
-  "name_or_path": "sentence-transformers/paraphrase-xlm-r-multilingual-v1",
+  "name_or_path": "silencesys/paraphrase-xlm-r-multilingual-v1-fine-tuned-for-medieval-latin",
   "pad_token": "<pad>",
   "sep_token": "</s>",
   "sp_model_kwargs": {},