update model card README.md

README.md

@@ -1,6 +1,5 @@
 ---
 license: mit
-base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
 metrics:
@@ -17,8 +16,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1744
-- F1: 0.8536
+- Loss: 0.1763
+- F1: 0.8516
 
 ## Model description
 
@@ -49,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.298         | 1.0   | 835  | 0.2003          | 0.8127 |
-| 0.1539        | 2.0   | 1670 | 0.1715          | 0.8428 |
-| 0.0998        | 3.0   | 2505 | 0.1744          | 0.8536 |
+| 0.3012        | 1.0   | 835  | 0.1952          | 0.8008 |
+| 0.1555        | 2.0   | 1670 | 0.1797          | 0.8373 |
+| 0.101         | 3.0   | 2505 | 0.1763          | 0.8516 |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.1+cu121
+- Transformers 4.16.2
+- Pytorch 2.4.0+cu124
 - Datasets 1.16.1
 - Tokenizers 0.19.1