update model card README.md

README.md

@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # QA_model
 
-This model is a fine-tuned version of [ukr-models/xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-base-uk) on an unknown dataset.
+This model is a fine-tuned version of [ukr-models/xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-base-uk) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4493
+- Loss: 3.1071
 
 ## Model description
 
@@ -34,22 +34,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 15
-- eval_batch_size: 15
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.4541        | 1.0   | 586  | 1.4612          |
-| 1.4113        | 2.0   | 1172 | 1.3083          |
-| 1.0631        | 3.0   | 1758 | 1.3720          |
-| 0.8692        | 4.0   | 2344 | 1.3690          |
-| 0.7216        | 5.0   | 2930 | 1.4493          |
+| No log        | 1.0   | 48   | 3.6032          |
+| No log        | 2.0   | 96   | 3.2576          |
+| No log        | 3.0   | 144  | 3.1824          |
 
 
 ### Framework versions