Training complete

README.md

@@ -1,5 +1,6 @@
 ---
 license: mit
+base_model: papluca/xlm-roberta-base-language-detection
 tags:
 - classification
 - generated_from_trainer
@@ -42,7 +43,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.27.4
-- Pytorch 2.0.0+cu118
-- Datasets 2.11.0
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
 - Tokenizers 0.13.3

config.json

@@ -66,7 +66,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.27.4",
+  "transformers_version": "4.33.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 1112305073

tokenizer_config.json

@@ -1,5 +1,6 @@
 {
   "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
   "cls_token": "<s>",
   "eos_token": "</s>",
   "mask_token": {
@@ -13,7 +14,6 @@
   "model_max_length": 512,
   "pad_token": "<pad>",
   "sep_token": "</s>",
-  "special_tokens_map_file": null,
   "tokenizer_class": "XLMRobertaTokenizer",
   "unk_token": "<unk>"
 }

training_args.bin

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