End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2711
-- Accuracy: 0.92
-- F1: 0.9467
+- Loss: 0.5475
+- Accuracy: 0.9022
+- F1: 0.9357
 
 ## Model description
 
@@ -40,15 +40,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.1891        | 1.0   | 507  | 0.4560          | 0.9067   | 0.9390 |
+| 0.0835        | 2.0   | 1014 | 0.4778          | 0.9      | 0.9347 |
+| 0.0257        | 3.0   | 1521 | 0.5475          | 0.9022   | 0.9357 |
 
 
 ### Framework versions

runs/Jun13_22-42-51_88b985c19838/events.out.tfevents.1718318953.88b985c19838.1237.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af2a0d502a1df763be1b350078cd1e1ab40710ce8903782381e613db9a88c578
+size 457