update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: bert-base-multilingual-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -19,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5260
-- Precision: 0.5933
-- Recall: 0.4839
-- F1: 0.5330
-- Accuracy: 0.8502
+- Loss: 0.4896
+- Precision: 0.6282
+- Recall: 0.5688
+- F1: 0.5970
+- Accuracy: 0.8756
 
 ## Model description
 
@@ -43,8 +44,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -54,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 145  | 0.5260          | 0.5933    | 0.4839 | 0.5330 | 0.8502   |
-| No log        | 2.0   | 290  | 0.5357          | 0.6099    | 0.5415 | 0.5736 | 0.8604   |
-| No log        | 3.0   | 435  | 0.5476          | 0.6279    | 0.5795 | 0.6027 | 0.8715   |
-| 0.365         | 4.0   | 580  | 0.5861          | 0.6454    | 0.6107 | 0.6276 | 0.8827   |
-| 0.365         | 5.0   | 725  | 0.6235          | 0.6543    | 0.6185 | 0.6359 | 0.8804   |
+| No log        | 1.0   | 73   | 0.5149          | 0.5414    | 0.4527 | 0.4931 | 0.8510   |
+| No log        | 2.0   | 146  | 0.6092          | 0.57      | 0.5005 | 0.5330 | 0.8464   |
+| No log        | 3.0   | 219  | 0.4896          | 0.6282    | 0.5688 | 0.5970 | 0.8756   |
+| No log        | 4.0   | 292  | 0.5196          | 0.6420    | 0.6176 | 0.6295 | 0.8764   |
+| No log        | 5.0   | 365  | 0.5270          | 0.6479    | 0.6176 | 0.6324 | 0.8786   |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Datasets 2.14.0
 - Tokenizers 0.13.3