Panda0116/emotion-classification-model

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1390
-- Accuracy: 0.9425
+- Loss: 0.1630
+- Accuracy: 0.9385
 
 ## Model description
 
@@ -44,15 +44,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2225        | 1.0   | 1000 | 0.1696          | 0.932    |
-| 0.1165        | 2.0   | 2000 | 0.1390          | 0.9425   |
+| 0.2281        | 1.0   | 1000 | 0.1982          | 0.929    |
+| 0.132         | 2.0   | 2000 | 0.1674          | 0.9345   |
+| 0.0843        | 3.0   | 3000 | 0.1630          | 0.9385   |
 
 
 ### Framework versions