update model card README.md

README.md

@@ -4,6 +4,8 @@ tags:
 - generated_from_trainer
 datasets:
 - xtreme
+metrics:
+- f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-de
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # xlm-roberta-base-finetuned-panx-de
 
 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: 0.1339
+- F1: 0.8653
 
 ## Model description
 
@@ -34,12 +39,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 1
-- eval_batch_size: 1
+- 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
-- num_epochs: 1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2583        | 1.0   | 525  | 0.1596          | 0.8231 |
+| 0.1262        | 2.0   | 1050 | 0.1395          | 0.8468 |
+| 0.0824        | 3.0   | 1575 | 0.1339          | 0.8653 |
+
 
 ### Framework versions