update model card README.md

README.md

@@ -15,11 +15,13 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
+      config: PAN-X.en
+      split: train
       args: PAN-X.en
     metrics:
     - name: F1
       type: f1
-      value: 0.6994475138121546
+      value: 0.7032474804031354
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +31,8 @@ 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: 0.3848
-- F1: 0.6994
+- Loss: 0.3932
+- F1: 0.7032
 
 ## Model description
 
@@ -50,8 +52,8 @@ 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: 24
+- eval_batch_size: 24
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -61,14 +63,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0435        | 1.0   | 74   | 0.5169          | 0.5532 |
-| 0.4719        | 2.0   | 148  | 0.4224          | 0.6630 |
-| 0.3424        | 3.0   | 222  | 0.3848          | 0.6994 |
+| 1.1504        | 1.0   | 50   | 0.5992          | 0.4786 |
+| 0.5147        | 2.0   | 100  | 0.4307          | 0.6468 |
+| 0.3717        | 3.0   | 150  | 0.3932          | 0.7032 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.11.0+cu113
-- Datasets 1.16.1
-- Tokenizers 0.10.3
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1