🚧 (training): 9 epochs on OSCAR dataset

README.md

@@ -81,7 +81,7 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 9124 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 9455 with parameters:
 ```
 {'batch_size': 8, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
@@ -93,7 +93,7 @@ The model was trained with the parameters:
 Parameters of the fit()-Method:
 ```
 {
-    "epochs": 1,
+    "epochs": 9,
     "evaluation_steps": 0,
     "evaluator": "NoneType",
     "max_grad_norm": 1,

config.json

@@ -22,7 +22,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.17.0",
+  "transformers_version": "4.18.0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

config_sentence_transformers.json

@@ -1,7 +1,7 @@
 {
   "__version__": {
     "sentence_transformers": "2.2.0",
-    "transformers": "4.17.0",
-    "pytorch": "1.10.2"
+    "transformers": "4.18.0",
+    "pytorch": "1.11.0+cu102"
   }
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 1112244081