Training in progress, step 500

.gitignore

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config.json

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+  "_name_or_path": "ViktorDo/EcoBERT-Scratch",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
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+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 124,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
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tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "name_or_path": "/content/drive/My Drive/Species_Text_Data/distilbert-ecobert-scratch",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

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