Training in progress, step 500

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "transformersbook/distilbert-base-uncased-finetuned-emotion",
+  "_name_or_path": "distilbert-base-uncased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"
@@ -9,21 +9,21 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "sadness",
-    "1": "joy",
-    "2": "love",
-    "3": "anger",
-    "4": "fear",
-    "5": "surprise"
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "anger": "3",
-    "fear": "4",
-    "joy": "1",
-    "love": "2",
-    "sadness": "0",
-    "surprise": "5"
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

pytorch_model.bin

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tokenizer_config.json

@@ -1 +1 @@
-{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "transformersbook/distilbert-base-uncased-finetuned-emotion", "tokenizer_class": "DistilBertTokenizer"}
+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"}

training_args.bin

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