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config.json

@@ -1,6 +1,7 @@
 {
+  "_name_or_path": "xlm-roberta-base",
   "architectures": [
-    "CustomRewardModel"
+    "XLMRobertaForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
@@ -11,17 +12,17 @@
   "hidden_size": 768,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
-  "model_type": "CustomRewardModel",
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
+  "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "problem_type": "classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.30.1",
-  "type_vocab_size": 2,
+  "transformers_version": "4.30.2",
+  "type_vocab_size": 1,
   "use_cache": true,
-  "vocab_size": 30522
+  "vocab_size": 250002
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b91334191284963ce23667810a2a72163af7771a2aa399da4bf47b5e2d1a7bc0
-size 1112255349
+oid sha256:304aa89a771a5dce1b53d5057eb7334a85bc3ef922057c489486c82127305e31
+size 1112254133