End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.927
+      value: 0.919
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1888
-- Accuracy: 0.927
+- Loss: 0.4055
+- Accuracy: 0.919
 
 ## Model description
 
@@ -52,21 +52,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 8.42e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2348        | 1.0   | 1000 | 0.2163          | 0.9255   |
-| 0.1337        | 2.0   | 2000 | 0.1446          | 0.94     |
-| 0.0886        | 3.0   | 3000 | 0.1541          | 0.9425   |
+| 0.1735        | 1.0   | 1000 | 0.2957          | 0.919    |
+| 0.1154        | 2.0   | 2000 | 0.2450          | 0.9305   |
+| 0.072         | 3.0   | 3000 | 0.2936          | 0.935    |
+| 0.032         | 4.0   | 4000 | 0.3145          | 0.938    |
 
 
 ### Framework versions

runs/Mar11_04-54-09_f6b7ca2de819/events.out.tfevents.1710132850.f6b7ca2de819.11996.4

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runs/Mar11_04-54-09_f6b7ca2de819/events.out.tfevents.1710133918.f6b7ca2de819.11996.5

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training_args.bin

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