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config.json

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+{
+  "_name_or_path": "m-polignano-uniba/bert_uncased_L-12_H-768_A-12_italian_alb3rt0",
+  "architectures": [
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+  "layer_norm_eps": 1e-12,
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+  "model_type": "bert",
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+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 128000
+}

optimizer.pt

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pytorch_model.bin

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rng_state.pth

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scheduler.pt

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trainer_state.json

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training_args.bin

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