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README.md

@@ -85,21 +85,24 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 16363 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 62500 with parameters:
 ```
-{'batch_size': 24, '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.SoftmaxLoss.SoftmaxLoss` 
+`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
+  ```
+  {'scale': 20.0, 'similarity_fct': 'cos_sim'}
+  ```
 
 Parameters of the fit()-Method:
 ```
 {
-    "epochs": 1,
-    "evaluation_steps": 1000,
-    "evaluator": "sentence_transformers.evaluation.LabelAccuracyEvaluator.LabelAccuracyEvaluator",
+    "epochs": 5,
+    "evaluation_steps": 0,
+    "evaluator": "NoneType",
     "max_grad_norm": 1,
     "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
     "optimizer_params": {
@@ -107,7 +110,7 @@ Parameters of the fit()-Method:
     },
     "scheduler": "WarmupLinear",
     "steps_per_epoch": null,
-    "warmup_steps": 1637,
+    "warmup_steps": 1000,
     "weight_decay": 0.01
 }
 ```

config.json

@@ -21,7 +21,7 @@
   "position_embedding_type": "absolute",
   "tokenizer_class": "PhobertTokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.30.2",
+  "transformers_version": "4.33.3",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 64001

config_sentence_transformers.json

@@ -1,7 +1,7 @@
 {
   "__version__": {
     "sentence_transformers": "2.2.2",
-    "transformers": "4.30.2",
-    "pytorch": "2.0.0"
+    "transformers": "4.33.3",
+    "pytorch": "2.0.1"
   }
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 540062253
+oid sha256:23cd4adb12a88756dc87d25b4bca96b67fb13429636dd8d080f073aec886047a
+size 540059817