try1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "google/bert_uncased_L-4_H-512_A-8",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 512,
+  "id2label": {
+    "0": "negative",
+    "1": "somewhat negative",
+    "2": "neutral",
+    "3": "somewhat positive",
+    "4": "positive"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "label2id": {
+    "negative": 0,
+    "neutral": 2,
+    "positive": 4,
+    "somewhat negative": 1,
+    "somewhat positive": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 4,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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+size 115092807

training_args.bin

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