Training complete !

config.json

@@ -1,4 +1,5 @@
 {
+  "_name_or_path": "eslamxm/mbert2mbert-finetuned-ar-xlsum",
   "architectures": [
     "EncoderDecoderModel"
   ],
@@ -79,7 +80,7 @@
     "top_p": 1.0,
     "torch_dtype": null,
     "torchscript": false,
-    "transformers_version": "4.19.2",
+    "transformers_version": "4.19.4",
     "type_vocab_size": 2,
     "typical_p": 1.0,
     "use_bfloat16": false,
@@ -164,7 +165,7 @@
     "top_p": 1.0,
     "torch_dtype": null,
     "torchscript": false,
-    "transformers_version": "4.19.2",
+    "transformers_version": "4.19.4",
     "type_vocab_size": 2,
     "typical_p": 1.0,
     "use_bfloat16": false,

runs/Jun14_19-10-26_73ba6e27ca0e/events.out.tfevents.1655234695.73ba6e27ca0e.80.0

@@ -0,0 +1,3 @@
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+size 491

tokenizer_config.json

@@ -1 +1 @@
-{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-multilingual-cased", "tokenizer_class": "BertTokenizer"}
+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "eslamxm/mbert2mbert-finetuned-ar-xlsum", "tokenizer_class": "BertTokenizer"}

training_args.bin

@@ -1,3 +1,3 @@
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 size 3375