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config.json

@@ -1,28 +1,47 @@
 {
-  "_name_or_path": "camembert-base",
+  "_name_or_path": "nlptown/bert-base-multilingual-uncased-sentiment",
+  "_num_labels": 5,
   "architectures": [
-    "CamembertForMaskedLM"
+    "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "bos_token_id": 5,
   "classifier_dropout": null,
-  "eos_token_id": 6,
+  "directionality": "bidi",
+  "finetuning_task": "sentiment-analysis",
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
+  "id2label": {
+    "0": "1 star",
+    "1": "2 stars",
+    "2": "3 stars",
+    "3": "4 stars",
+    "4": "5 stars"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 514,
-  "model_type": "camembert",
+  "label2id": {
+    "1 star": 0,
+    "2 stars": 1,
+    "3 stars": 2,
+    "4 stars": 3,
+    "5 stars": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
   "output_past": true,
-  "pad_token_id": 1,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
   "transformers_version": "4.48.0.dev0",
-  "type_vocab_size": 1,
+  "type_vocab_size": 2,
   "use_cache": true,
-  "vocab_size": 32005
+  "vocab_size": 105879
 }