update model card README.md

README.md

@@ -16,8 +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: 0.1628
-- F1: 0.8593
+- Loss: 0.8299
+- F1: 0.5812
 
 ## Model description
 
@@ -37,25 +37,32 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 24
-- eval_batch_size: 24
+- train_batch_size: 1
+- eval_batch_size: 1
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2913        | 1.0   | 715  | 0.1794          | 0.8302 |
-| 0.146         | 2.0   | 1430 | 0.1632          | 0.8506 |
-| 0.0945        | 3.0   | 2145 | 0.1628          | 0.8593 |
+| Training Loss | Epoch | Step   | Validation Loss | F1     |
+|:-------------:|:-----:|:------:|:---------------:|:------:|
+| 1.0225        | 1.0   | 17160  | 0.8581          | 0.2009 |
+| 0.8737        | 2.0   | 34320  | 0.9759          | 0.2485 |
+| 0.7939        | 3.0   | 51480  | 0.8271          | 0.3923 |
+| 0.7049        | 4.0   | 68640  | 0.8624          | 0.4401 |
+| 0.6224        | 5.0   | 85800  | 0.7628          | 0.5075 |
+| 0.5286        | 6.0   | 102960 | 0.7342          | 0.5185 |
+| 0.4555        | 7.0   | 120120 | 0.7734          | 0.5370 |
+| 0.3873        | 8.0   | 137280 | 0.7164          | 0.5646 |
+| 0.3218        | 9.0   | 154440 | 0.8536          | 0.5756 |
+| 0.2721        | 10.0  | 171600 | 0.8299          | 0.5812 |
 
 
 ### Framework versions
 
 - Transformers 4.21.1
 - Pytorch 1.11.0
-- Datasets 2.3.0
+- Datasets 2.4.0
 - Tokenizers 0.12.1