End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8833333333333333
+      value: 0.88
     - name: F1
       type: f1
-      value: 0.8867313915857605
+      value: 0.8831168831168831
 ---
 
 <!-- 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 imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7460
-- Accuracy: 0.8833
-- F1: 0.8867
+- Loss: 0.9555
+- Accuracy: 0.88
+- F1: 0.8831
 
 ## Model description
 
@@ -63,7 +63,7 @@ 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: 15
+- num_epochs: 2
 
 ### Training results
 

runs/Dec02_22-25-09_16067244de7a/events.out.tfevents.1701556383.16067244de7a.2473.3

@@ -0,0 +1,3 @@
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+oid sha256:f58929aab003a85a119b672423232a4fab86335046e4bf53b4a8feebe0a299f5
+size 457