Training in progress, step 500

.gitignore

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config.json

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+  "architectures": [
+    "RobertaForSequenceClassification"
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+  "finetuning_task": "mnli",
+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+    "1": "entailment"
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+  "intermediate_size": 3072,
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+  "model_type": "roberta",
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+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

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special_tokens_map.json

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+  "cls_token": "<s>",
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+  "mask_token": {
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tokenizer_config.json

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+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
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+  "name_or_path": "mariolinml/roberta-base_fullMnli_10_24_v0",
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+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

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