Training in progress, epoch 1

added_tokens.json

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+  "<s>": 2,
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+}

config.json

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+{
+  "_name_or_path": "google/bigbird-roberta-base",
+  "architectures": [
+    "BigBirdForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "attention_type": "block_sparse",
+  "block_size": 64,
+  "bos_token_id": 1,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
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+    "1": "M",
+    "2": "N",
+    "3": "O",
+    "4": "OB",
+    "5": "W"
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+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "M": 1,
+    "N": 2,
+    "O": 3,
+    "OB": 4,
+    "W": 5
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+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 4096,
+  "model_type": "big_bird",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_random_blocks": 3,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "rescale_embeddings": false,
+  "sep_token_id": 66,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0",
+  "type_vocab_size": 2,
+  "use_bias": true,
+  "use_cache": true,
+  "vocab_size": 50360
+}

pytorch_model.bin

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special_tokens_map.json

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+{
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+  "cls_token": "[CLS]",
+  "eos_token": "<EOS>",
+  "mask_token": "[MASK]",
+  "pad_token": "<pad>",
+  "sep_token": "<SEP>",
+  "unk_token": "<unk>"
+}

spiece.model

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tokenizer_config.json

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+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
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+  "mask_token": "[MASK]",
+  "model_max_length": 4096,
+  "pad_token": "<pad>",
+  "sep_token": "<SEP>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "BigBirdTokenizer",
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+}

training_args.bin

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