Training in progress, step 500

.gitignore

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config.json

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+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+  "max_position_embeddings": 514,
+  "model_type": "roberta",
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+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

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special_tokens_map.json

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+  "cls_token": "<s>",
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+  "mask_token": {
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+    "lstrip": true,
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+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+  "add_prefix_space": false,
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
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+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
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+}

training_args.bin

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