End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.93056
+      value: 0.93352
 ---
 
 <!-- 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 imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4228
-- Accuracy: 0.9306
+- Loss: 0.6508
+- Accuracy: 0.9335
 
 ## Model description
 
@@ -58,14 +58,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0835        | 1.0   | 1563 | 0.3934          | 0.9287   |
-| 0.0219        | 2.0   | 3126 | 0.4228          | 0.9306   |
+| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:---------------:|
+| 0.0835        | 1.0   | 1563  | 0.9287   | 0.3934          |
+| 0.0219        | 2.0   | 3126  | 0.9306   | 0.4228          |
+| 0.0408        | 3.0   | 4689  | 0.4133   | 0.9276          |
+| 0.0316        | 4.0   | 6252  | 0.4801   | 0.9300          |
+| 0.0285        | 5.0   | 7815  | 0.5290   | 0.9287          |
+| 0.0318        | 6.0   | 9378  | 0.5954   | 0.9281          |
+| 0.0199        | 7.0   | 10941 | 0.6008   | 0.9311          |
+| 0.0049        | 8.0   | 12504 | 0.6087   | 0.9305          |
+| 0.0003        | 9.0   | 14067 | 0.6529   | 0.9320          |
+| 0.0032        | 10.0  | 15630 | 0.6508   | 0.9335          |
 
 
 ### Framework versions