Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "facebook/esm2_t12_35M_UR50D",
+  "architectures": [
+    "EsmForTokenClassification"
+  ],
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+  "esmfold_config": null,
+  "hidden_act": "gelu",
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+  "hidden_size": 480,
+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2"
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+  "intermediate_size": 1920,
+  "is_folding_model": false,
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+    "LABEL_2": 2
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+  "model_type": "esm",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "rotary",
+  "token_dropout": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
+  "use_cache": true,
+  "vocab_list": null,
+  "vocab_size": 33
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "cls_token": "<cls>",
+  "eos_token": "<eos>",
+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "model_max_length": 1024,
+  "name_or_path": "facebook/esm2_t12_35M_UR50D",
+  "special_tokens_map_file": "/home/abahai/.cache/huggingface/hub/models--facebook--esm2_t12_35M_UR50D/snapshots/6fbf070e65b0b7291e7bbcd451118c216cff79d8/special_tokens_map.json",
+  "tokenizer_class": "EsmTokenizer"
+}

training_args.bin

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vocab.txt

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+<cls>
+<pad>
+<eos>
+<unk>
+L
+A
+G
+V
+S
+E
+R
+T
+I
+D
+P
+K
+Q
+N
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+Y
+M
+H
+W
+C
+X
+B
+U
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+O
+.
+-
+<null_1>
+<mask>