Update model based on new language model and new training samples

config.json

@@ -1,30 +1,29 @@
 {
-  "_name_or_path": "TCFD_model/TCFD_Bert_Checkpoints_with_CDP_keywords_v3_rm_special_char/checkpoint-3",
+  "_name_or_path": "task2_model/tcfd/checkpoint-7",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
+  "classifier_dropout": null,
   "eos_token_id": 2,
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4"
+    "0": "governance",
+    "1": "risk",
+    "2": "strategy",
+    "3": "metrics"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4
+    "governance": 0,
+    "metrics": 3,
+    "risk": 1,
+    "strategy": 2
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
@@ -33,9 +32,10 @@
   "num_hidden_layers": 6,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.9.0",
+  "transformers_version": "4.10.3",
   "type_vocab_size": 1,
   "use_cache": true,
-  "vocab_size": 50265
+  "vocab_size": 50500
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:041b00c67bcd42fe230b10dd764aac111390a6b7c4c74997ad8f7b0716d76a36
-size 328536745
+oid sha256:1322f936a7c745c53eb7013f17263d50192ebcc9296e1f5b09c2e745e83093b8
+size 329252525