Training in progress, step 100

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

.gitignore

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config.json

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+  "_name_or_path": "xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
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+  "hidden_act": "gelu",
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+  "id2label": {
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+    "Positive": 2
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+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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runs/Sep10_09-22-25_4cc4535ccc3b/1694337761.57461/events.out.tfevents.1694337761.4cc4535ccc3b.960.1

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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.json

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tokenizer_config.json

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+  "eos_token": "</s>",
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+  "tokenizer_class": "XLMRobertaTokenizer",
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training_args.bin

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