Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "Rostlab/prot_bert_bfd",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
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+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 30,
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+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30
+}

pytorch_model.bin

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runs/Sep13_03-31-56_ed9b2856f6ef/1663039924.1366894/events.out.tfevents.1663039924.ed9b2856f6ef.140.1

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer.json

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+{
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+  "truncation": {
+    "direction": "Right",
+    "max_length": 100,
+    "strategy": "LongestFirst",
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+    "handle_chinese_chars": true,
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+    "lowercase": false
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tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "full_tokenizer_file": null,
+  "mask_token": "[MASK]",
+  "name_or_path": "Rostlab/prot_bert_bfd",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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vocab.txt

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