Add new SentenceTransformer model.

README.md

@@ -7,7 +7,7 @@ tags:
 - sentence-similarity
 - transformers
 datasets:
-- MiuN2k3/FC
+- COCOTECH-AI/ViNLI-SimCSE-supervised
 ---
 
 # MiuN2k3/ViWikiSBert-fine-tuning
@@ -87,14 +87,17 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 349 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 1996 with parameters:
 ```
-{'batch_size': 32, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
+{'batch_size': 64, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
 
 **Loss**:
 
-`sentence_transformers.losses.SoftmaxLoss.SoftmaxLoss` 
+`sentence_transformers.losses.TripletLoss.TripletLoss` with parameters:
+  ```
+  {'distance_metric': 'TripletDistanceMetric.EUCLIDEAN', 'triplet_margin': 5}
+  ```
 
 Parameters of the fit()-Method:
 ```
@@ -109,7 +112,7 @@ Parameters of the fit()-Method:
     },
     "scheduler": "WarmupLinear",
     "steps_per_epoch": null,
-    "warmup_steps": 174,
+    "warmup_steps": 998,
     "weight_decay": 0.01
 }
 ```

config.json

@@ -22,7 +22,7 @@
   "position_embedding_type": "absolute",
   "tokenizer_class": "PhobertTokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.39.1",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 64001

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d326f3649eb71f4428873be509ed072d5bd8036349f9dcb4b9f7e14fb79f2509
 size 540015464