update model card README.md

README.md

@@ -13,6 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-classification-eplorer
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2735
 
 ## Model description
 
@@ -31,16 +33,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 2e-05
+- 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: 2
+- num_epochs: 3
+- mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.793         | 1.0   | 1222 | 2.4846          |
+| 2.4863        | 2.0   | 2444 | 2.3383          |
+| 2.3784        | 3.0   | 3666 | 2.2735          |
 
 
 ### Framework versions