End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.911697247706422
+      value: 0.908256880733945
     - name: F1
       type: f1
-      value: 0.9115779515904178
+      value: 0.9082409443058056
 ---
 
 <!-- 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 glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3954
-- Accuracy: 0.9117
-- F1: 0.9116
+- Loss: 0.2813
+- Accuracy: 0.9083
+- F1: 0.9082
 
 ## Model description
 
@@ -64,15 +64,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| 0.1866        | 1.0   | 4210  | 0.2528          | 0.9163   | 0.9162 |
-| 0.1309        | 2.0   | 8420  | 0.3377          | 0.9048   | 0.9047 |
-| 0.094         | 3.0   | 12630 | 0.3954          | 0.9117   | 0.9116 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.1832        | 1.0   | 4210 | 0.2813          | 0.9083   | 0.9082 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0ab020c55797d4a227a62d479df1bf45675eb90af654b736d765a037bfed638a
 size 267832560