Training in progress, epoch 1

.gitignore

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config.json

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+{
+  "_name_or_path": "albert-large-v2",
+  "architectures": [
+    "AlbertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
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+  "gap_size": 0,
+  "hidden_act": "gelu_new",
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+  "hidden_size": 1024,
+  "id2label": {
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+    "3": "B-creative-work",
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+    "6": "I-group",
+    "7": "B-location",
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+  "inner_group_num": 1,
+  "intermediate_size": 4096,
+  "label2id": {
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+    "B-creative-work": 3,
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+    "I-person": 10,
+    "I-product": 12,
+    "O": 0
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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": "4.20.1",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

pytorch_model.bin

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runs/Dec08_17-50-08_ecb18e5aa8b7/1670521822.799292/events.out.tfevents.1670521822.ecb18e5aa8b7.17.1

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special_tokens_map.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
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+  "mask_token": {
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spiece.model

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tokenizer_config.json

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+{
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+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "eos_token": "[SEP]",
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+  "model_max_length": 512,
+  "name_or_path": "albert-large-v2",
+  "pad_token": "<pad>",
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+  "sep_token": "[SEP]",
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+  "tokenizer_class": "AlbertTokenizer",
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+}

training_args.bin

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