Training in progress, step 500

config.json

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+  "architectures": [
+    "RobertaForSequenceClassification"
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+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+    "1": "neutral",
+    "2": "positive"
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "neutral": 1,
+    "positive": 2
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+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

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special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+  "tokenizer_class": "RobertaTokenizer",
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+}

training_args.bin

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