light models

config.json

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+{
+  "_name_or_path": "./models/pretrained/imp_light_bert3",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "regression",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.16.2",
+  "vocab_size": 31102
+}

pytorch_model.bin

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runs/Feb01_12-26-39_078f75d0e958/1643718440.8508382/events.out.tfevents.1643718440.078f75d0e958.72.1

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runs/Feb01_12-26-39_078f75d0e958/events.out.tfevents.1643718440.078f75d0e958.72.0

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special_tokens_map.json

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

tokenizer_config.json

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+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "max_len": 512, "special_tokens_map_file": null, "full_tokenizer_file": null, "name_or_path": "indigo-ai/BERTino", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "DistilBertTokenizer"}

training_args.bin

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