Model save

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: bert-base-multilingual-cased
 tags:
@@ -17,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0113
-- Accuracy: 0.9963
+- Loss: 0.0469
+- Accuracy: 0.9928
 
 ## Model description
 
@@ -49,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 272  | 0.1554          | 0.9669   |
-| 0.0964        | 2.0   | 544  | 0.0143          | 0.9963   |
-| 0.0964        | 3.0   | 816  | 0.0113          | 0.9963   |
-| 0.0246        | 4.0   | 1088 | 0.0130          | 0.9982   |
-| 0.0246        | 5.0   | 1360 | 0.0143          | 0.9982   |
+| No log        | 1.0   | 280  | 0.1351          | 0.9785   |
+| 0.1661        | 2.0   | 560  | 0.1055          | 0.9839   |
+| 0.1661        | 3.0   | 840  | 0.1071          | 0.9857   |
+| 0.009         | 4.0   | 1120 | 0.0469          | 0.9928   |
+| 0.009         | 5.0   | 1400 | 0.0867          | 0.9875   |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
+- Transformers 4.44.2
 - Pytorch 2.4.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1

config.json

@@ -33,7 +33,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.42.4",
+  "transformers_version": "4.44.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 119547

model.safetensors

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runs/Sep10_14-14-19_7e9f2dc8317f/events.out.tfevents.1725977661.7e9f2dc8317f.258.0

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training_args.bin

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