Training in progress, epoch 1

.gitignore

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config.json

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+{
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+  "amp": 1,
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+    "FlaubertForSequenceClassification"
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+  "id2label": {
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+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8"
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+  "max_position_embeddings": 512,
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+  "mlm_steps": [
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+  "n_heads": 12,
+  "n_langs": 1,
+  "n_layers": 12,
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+  "pre_norm": false,
+  "problem_type": "single_label_classification",
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+  "sinusoidal_embeddings": false,
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+  "summary_type": "first",
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+  "tokens_per_batch": -1,
+  "torch_dtype": "float32",
+  "transformers_version": "4.22.2",
+  "unk_index": 3,
+  "use_lang_emb": true,
+  "vocab_size": 68729,
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+  "word_pred": 0.15,
+  "word_rand": 0.1,
+  "word_shuffle": 0
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pytorch_model.bin

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runs/Oct10_19-21-34_21c2792d50bb/1665429701.8707619/events.out.tfevents.1665429701.21c2792d50bb.67.5

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special_tokens_map.json

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+}

tokenizer_config.json

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+{
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+  "name_or_path": "flaubert/flaubert_base_cased",
+  "pad_token": "<pad>",
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+  "tokenizer_class": "FlaubertTokenizer",
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+}

training_args.bin

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