Training completed!

README.md

@@ -9,8 +9,6 @@ metrics:
 model-index:
 - name: go-emotions-distilbert-pytorch
   results: []
-datasets:
-- google-research-datasets/go_emotions
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # go-emotions-distilbert-pytorch
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on [go_emotions](https://huggingface.co/datasets/google-research-datasets/go_emotions) dataset.
+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: 1.2971
-- Accuracy: 0.6194
+- Loss: 1.2948
+- Accuracy: 0.6227
 
 ## Model description
 
@@ -52,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 284  | 1.3617          | 0.6168   |
-| 1.5756        | 2.0   | 568  | 1.2971          | 0.6194   |
+| No log        | 1.0   | 284  | 1.3549          | 0.6181   |
+| 1.5732        | 2.0   | 568  | 1.2948          | 0.6227   |
 
 
 ### Framework versions
@@ -61,4 +59,4 @@ The following hyperparameters were used during training:
 - Transformers 4.45.1
 - Pytorch 2.4.0
 - Datasets 3.0.1
-- Tokenizers 0.20.0
+- Tokenizers 0.20.0