Training in progress, step 500

config.json

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+{
+  "_name_or_path": "albert/albert-base-v2",
+  "architectures": [
+    "AlbertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
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+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
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+  "inner_group_num": 1,
+  "intermediate_size": 3072,
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+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "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": "4.46.3",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

model.safetensors

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runs/Dec13_04-28-23_254814f66a15/events.out.tfevents.1734064108.254814f66a15.2545.2

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special_tokens_map.json

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+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
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+    "normalized": false,
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+    "single_word": false
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+}

spiece.model

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tokenizer_config.json

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+{
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+      "normalized": false,
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+      "single_word": false,
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+  "tokenizer_class": "AlbertTokenizer",
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+}

training_args.bin

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