update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.18148148148148147
+      value: 0.05
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5848
-- F1: 0.1815
+- Loss: 1.7819
+- F1: 0.05
 
 ## Model description
 
@@ -52,8 +52,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 1
-- eval_batch_size: 1
+- train_batch_size: 10
+- eval_batch_size: 10
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.7925        | 1.0   | 20   | 1.7364          | 0.1815 |
-| 1.7053        | 2.0   | 40   | 1.6671          | 0.1815 |
-| 1.6415        | 3.0   | 60   | 1.6197          | 0.1815 |
-| 1.6042        | 4.0   | 80   | 1.5917          | 0.1815 |
-| 1.5616        | 5.0   | 100  | 1.5848          | 0.1815 |
+| 1.7891        | 1.0   | 2    | 1.7813          | 0.0182 |
+| 1.7925        | 2.0   | 4    | 1.7822          | 0.0125 |
+| 1.7906        | 3.0   | 6    | 1.7827          | 0.075  |
+| 1.7904        | 4.0   | 8    | 1.7821          | 0.0600 |
+| 1.7859        | 5.0   | 10   | 1.7819          | 0.05   |
 
 
 ### Framework versions