Training in progress, step 500

config.json

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+  "hidden_act": "gelu_new",
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+  "hidden_size": 1024,
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+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
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+  "intermediate_size": 4096,
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+    "LABEL_3": 3
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+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 16,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 24,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

model.safetensors

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runs/Jun16_03-06-35_cf0787997acc/events.out.tfevents.1718507270.cf0787997acc.1354.0

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runs/Jun16_03-20-14_3a289986de84/events.out.tfevents.1718508019.3a289986de84.383.0

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runs/Jun16_03-20-30_3a289986de84/events.out.tfevents.1718508032.3a289986de84.383.1

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special_tokens_map.json

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+  "cls_token": "[CLS]",
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+    "lstrip": true,
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spiece.model

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tokenizer_config.json

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+  "tokenizer_class": "AlbertTokenizer",
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+}

training_args.bin

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