update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: mit
+base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
 datasets:
@@ -21,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8362474781439138
+      value: 0.844885598923284
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2785
-- F1: 0.8362
+- Loss: 0.2753
+- F1: 0.8449
 
 ## Model description
 
@@ -63,14 +64,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5775        | 1.0   | 191  | 0.3180          | 0.7926 |
-| 0.2604        | 2.0   | 382  | 0.2881          | 0.8222 |
-| 0.1732        | 3.0   | 573  | 0.2785          | 0.8362 |
+| 0.5781        | 1.0   | 191  | 0.3692          | 0.7552 |
+| 0.2697        | 2.0   | 382  | 0.2768          | 0.8286 |
+| 0.1797        | 3.0   | 573  | 0.2753          | 0.8449 |
 
 
 ### Framework versions
 
-- Transformers 4.28.1
-- Pytorch 1.11.0
-- Datasets 2.12.0
+- Transformers 4.31.0
+- Pytorch 1.13.1.post200
+- Datasets 2.14.4
 - Tokenizers 0.13.3