Training comeleted!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9275
+      value: 0.927
     - name: F1
       type: f1
-      value: 0.9274632412806147
+      value: 0.9269759151801947
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ 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 the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2105
-- Accuracy: 0.9275
-- F1: 0.9275
+- Loss: 0.2217
+- Accuracy: 0.927
+- F1: 0.9270
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 250  | 0.2979          | 0.911    | 0.9105 |
-| No log        | 2.0   | 500  | 0.2105          | 0.9275   | 0.9275 |
+| No log        | 1.0   | 250  | 0.3219          | 0.9085   | 0.9076 |
+| No log        | 2.0   | 500  | 0.2217          | 0.927    | 0.9270 |
 
 
 ### Framework versions

pytorch_model.bin

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 size 267868266

training_args.bin

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 size 4536