update model card README.md

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bhadresh-savani/distilbert-base-uncased-emotion](https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3358
-- Accuracy: 0.4667
+- Loss: 1.3369
+- Accuracy: 0.5333
 
 ## Model description
 
@@ -37,28 +37,27 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 8
+- learning_rate: 1.9751278154829286e-05
+- train_batch_size: 16
 - eval_batch_size: 8
-- seed: 42
+- seed: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2664        | 1.0   | 15   | 1.4388          | 0.4      |
-| 1.4542        | 2.0   | 30   | 1.3942          | 0.4      |
-| 1.2951        | 3.0   | 45   | 1.3433          | 0.4      |
-| 1.1394        | 4.0   | 60   | 1.3303          | 0.4667   |
-| 1.0582        | 5.0   | 75   | 1.3358          | 0.4667   |
+| No log        | 1.0   | 8    | 1.3971          | 0.4      |
+| 1.3064        | 2.0   | 16   | 1.3286          | 0.5333   |
+| 1.153         | 3.0   | 24   | 1.3240          | 0.5333   |
+| 0.9528        | 4.0   | 32   | 1.3369          | 0.5333   |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
 - Pytorch 2.0.1
-- Datasets 2.14.0
+- Datasets 2.14.1
 - Tokenizers 0.13.3