aatmasidha
/

distilbert-base-uncased-finetuned-emotion

Text Classification Transformers PyTorch TensorBoard distilbert generated_from_trainer Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

aatmasidha commited on Aug 18, 2022

Commit

c6c14e8

•

1 Parent(s): 2dd2be2

update model card README.md

Files changed (1) hide show

README.md +5 -5

README.md CHANGED Viewed

@@ -17,9 +17,9 @@ 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: 0.2215
-- Accuracy: 0.9245
-- F1: 0.9246
 ## Model description
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8622        | 1.0   | 251  | 0.3256          | 0.9075   | 0.9060 |
-| 0.2577        | 2.0   | 502  | 0.2215          | 0.9245   | 0.9246 |
 ### Framework versions

 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: 0.2189
+- Accuracy: 0.923
+- F1: 0.9230
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.8077        | 1.0   | 251  | 0.3160          | 0.9065   | 0.9051 |
+| 0.2462        | 2.0   | 502  | 0.2189          | 0.923    | 0.9230 |
 ### Framework versions