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": [
+    "EsmForSequenceClassification"
+  ],
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+  "esmfold_config": null,
+  "hidden_act": "gelu",
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+  "hidden_size": 480,
+  "initializer_range": 0.02,
+  "intermediate_size": 1920,
+  "is_folding_model": false,
+  "layer_norm_eps": 1e-05,
+  "mask_token_id": 32,
+  "max_position_embeddings": 1026,
+  "model_type": "esm",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "rotary",
+  "problem_type": "single_label_classification",
+  "token_dropout": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "use_cache": true,
+  "vocab_list": null,
+  "vocab_size": 33
+}

pytorch_model.bin

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runs/May16_20-48-13_6c0ae56eac75/1684270127.1036184/events.out.tfevents.1684270127.6c0ae56eac75.4663.1

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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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+{
+  "clean_up_tokenization_spaces": true,
+  "model_max_length": 1024,
+  "tokenizer_class": "EsmTokenizer"
+}

training_args.bin

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vocab.txt

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+<cls>
+<pad>
+<eos>
+<unk>
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+E
+R
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+Y
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+X
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+Z
+O
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+<null_1>
+<mask>