Training in progress, epoch 1

.gitignore

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config.json

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+{
+  "_name_or_path": "albert-base-v2",
+  "architectures": [
+    "AlbertForSequenceClassification"
+  ],
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+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 12,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

pytorch_model.bin

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runs/Jan03_16-07-03_6b4cf278a7eb/1672762032.134417/events.out.tfevents.1672762032.6b4cf278a7eb

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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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+  "cls_token": "[CLS]",
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+  "eos_token": "[SEP]",
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+  "name_or_path": "albert-base-v2",
+  "num_labels": 20,
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+  "remove_space": true,
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+  "tokenizer_class": "AlbertTokenizer",
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+}

training_args.bin

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