Upload xlmr-large-classifier-pinocchio_it_tra1-eng model files

README.md

@@ -22,17 +22,18 @@ Training data:
 
 
 Results on the held-out test set:
-* Accuracy: 0.8972
-* F1-Score: 0.8911
-* Precision: 0.9474
-* Recall: 0.8411
+* Accuracy: 0.9206
+* F1-Score: 0.9217
+* Precision: 0.9091
+* Recall: 0.9346
 
 ## label mapping
 Label MT: 0
+
 Label PE: 1 (this is the human translator)
 
 ## Info
-Upload date: 2025-04-24 00:00
+Upload date: 2025-04-29 00:00
 
 ## Usage
 ```python

config.json

@@ -21,7 +21,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.50.1",
+  "transformers_version": "4.51.3",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

model.safetensors

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training_args.bin

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