Improve the 2-class sentence-based model.

F1 macro score is now `0.8923`.
We were able to achieve better models, but with a slightly higher validation loss and more erratic F1 generalization.

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "./artifacts/model-cwwb0nqy-848-0.8807:v0",
+  "_name_or_path": "./artifacts/model-3rgvwps0-3384-0.8923:v0",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
@@ -31,7 +31,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.17.0",
+  "transformers_version": "4.18.0.dev0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bb478a45c577ef171e44e93b079eef001b6d45c60706f1898d8385f89924af6d
-size 498672237
+oid sha256:ceaad535c1d6b3460db55dd06097770d0417e8dc9919c215a8a0d5fffc5d17ee
+size 498657517