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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6064
-- F1: 0.7577
+- Loss: 0.4469
+- F1: 0.8470
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 46
-- eval_batch_size: 46
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -50,11 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.2018        | 1.69  | 100  | 1.1031          | 0.1623 |
-| 1.0526        | 3.39  | 200  | 0.9000          | 0.5621 |
-| 0.9025        | 5.08  | 300  | 0.7649          | 0.6131 |
-| 0.8141        | 6.78  | 400  | 0.6715          | 0.7132 |
-| 0.7435        | 8.47  | 500  | 0.6064          | 0.7577 |
+| 1.1983        | 1.18  | 100  | 1.1133          | 0.1623 |
+| 1.0984        | 2.35  | 200  | 0.9809          | 0.2407 |
+| 0.9901        | 3.53  | 300  | 0.8533          | 0.5465 |
+| 0.8389        | 4.71  | 400  | 0.7101          | 0.6863 |
+| 0.7889        | 5.88  | 500  | 0.5927          | 0.7696 |
+| 0.6865        | 7.06  | 600  | 0.5303          | 0.8061 |
+| 0.6364        | 8.24  | 700  | 0.4778          | 0.8278 |
+| 0.5907        | 9.41  | 800  | 0.4469          | 0.8470 |
 
 
 ### Framework versions