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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3392
-- F1: 0.0668
+- Loss: 2.1164
+- F1: 0.0444
 
 ## Model description
 
@@ -37,20 +37,27 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-06
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 4
+- eval_batch_size: 4
 - 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     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 16   | 2.3546          | 0.0322 |
-| No log        | 2.0   | 32   | 2.3429          | 0.0550 |
-| No log        | 3.0   | 48   | 2.3392          | 0.0668 |
+| No log        | 1.0   | 64   | 2.2798          | 0.0449 |
+| No log        | 2.0   | 128  | 2.2237          | 0.0444 |
+| No log        | 3.0   | 192  | 2.1813          | 0.0444 |
+| No log        | 4.0   | 256  | 2.1558          | 0.0444 |
+| No log        | 5.0   | 320  | 2.1386          | 0.0444 |
+| No log        | 6.0   | 384  | 2.1303          | 0.0444 |
+| No log        | 7.0   | 448  | 2.1239          | 0.0444 |
+| 2.2511        | 8.0   | 512  | 2.1190          | 0.0444 |
+| 2.2511        | 9.0   | 576  | 2.1173          | 0.0444 |
+| 2.2511        | 10.0  | 640  | 2.1164          | 0.0444 |
 
 
 ### Framework versions