update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0501
-- Pearson: 0.9174
+- Loss: 0.0475
+- Pearson: 0.9261
 
 ## Model description
 
@@ -34,35 +34,30 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 8e-05
 - train_batch_size: 128
 - eval_batch_size: 256
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 15
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Pearson |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| No log        | 1.0   | 12   | 0.3069          | 0.3652  |
-| No log        | 2.0   | 24   | 0.2113          | 0.6984  |
-| No log        | 3.0   | 36   | 0.1256          | 0.7083  |
-| No log        | 4.0   | 48   | 0.1069          | 0.7647  |
-| No log        | 5.0   | 60   | 0.0523          | 0.8959  |
-| No log        | 6.0   | 72   | 0.0620          | 0.8976  |
-| No log        | 7.0   | 84   | 0.0581          | 0.8984  |
-| No log        | 8.0   | 96   | 0.0458          | 0.9189  |
-| No log        | 9.0   | 108  | 0.0520          | 0.9146  |
-| No log        | 10.0  | 120  | 0.0490          | 0.9212  |
-| No log        | 11.0  | 132  | 0.0466          | 0.9230  |
-| No log        | 12.0  | 144  | 0.0491          | 0.9198  |
-| No log        | 13.0  | 156  | 0.0495          | 0.9196  |
-| No log        | 14.0  | 168  | 0.0499          | 0.9176  |
-| No log        | 15.0  | 180  | 0.0501          | 0.9174  |
+| No log        | 1.0   | 12   | 0.2617          | 0.6890  |
+| No log        | 2.0   | 24   | 0.2215          | 0.7383  |
+| No log        | 3.0   | 36   | 0.0794          | 0.8488  |
+| No log        | 4.0   | 48   | 0.0832          | 0.8626  |
+| No log        | 5.0   | 60   | 0.0753          | 0.9134  |
+| No log        | 6.0   | 72   | 0.0497          | 0.9271  |
+| No log        | 7.0   | 84   | 0.0454          | 0.9253  |
+| No log        | 8.0   | 96   | 0.0438          | 0.9287  |
+| No log        | 9.0   | 108  | 0.0496          | 0.9251  |
+| No log        | 10.0  | 120  | 0.0475          | 0.9261  |
 
 
 ### Framework versions