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README.md

@@ -28,7 +28,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('reza-aditya/distilroberta-base-sentence-transformer')
+model = SentenceTransformer('{MODEL_NAME}')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```
@@ -85,22 +85,22 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 3181 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 5625 with parameters:
 ```
-{'batch_size': 16, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
+{'batch_size': 32, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
 
 **Loss**:
 
-`sentence_transformers.losses.TripletLoss.TripletLoss` with parameters:
+`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
   ```
-  {'distance_metric': 'TripletDistanceMetric.EUCLIDEAN', 'triplet_margin': 5}
+  {'scale': 20.0, 'similarity_fct': 'cos_sim'}
   ```
 
 Parameters of the fit()-Method:
 ```
 {
-    "epochs": 10,
+    "epochs": 2,
     "evaluation_steps": 0,
     "evaluator": "NoneType",
     "max_grad_norm": 1,
@@ -110,7 +110,7 @@ Parameters of the fit()-Method:
     },
     "scheduler": "WarmupLinear",
     "steps_per_epoch": null,
-    "warmup_steps": 3181,
+    "warmup_steps": 1125,
     "weight_decay": 0.01
 }
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilroberta-base",
+  "_name_or_path": "/root/.cache/torch/sentence_transformers/reza-aditya_distilroberta-base-sentence-transformer/",
   "architectures": [
     "RobertaModel"
   ],

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b2b88fe69d71be76d3fa820769ed343f42ce24604304f8b0ca1b2d61ceb2d54
+oid sha256:271865305016d69a973b13e425b956b4c301a4862d531320b8d1901b9b5a5fe9
 size 328511153

tokenizer_config.json

@@ -6,7 +6,7 @@
   "errors": "replace",
   "mask_token": "<mask>",
   "model_max_length": 512,
-  "name_or_path": "distilroberta-base",
+  "name_or_path": "/root/.cache/torch/sentence_transformers/reza-aditya_distilroberta-base-sentence-transformer/",
   "pad_token": "<pad>",
   "sep_token": "</s>",
   "special_tokens_map_file": null,