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: 0.3309
-- Accuracy: 0.9156
-- F1: 0.9436
+- Loss: 0.3131
+- Accuracy: 0.9067
+- F1: 0.9381
 
 ## Model description
 
@@ -45,16 +45,17 @@ 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
+- lr_scheduler_warmup_steps: 1000
 - num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2443        | 1.0   | 254  | 0.2906          | 0.8844   | 0.9263 |
-| 0.1564        | 2.0   | 508  | 0.2648          | 0.9067   | 0.9371 |
-| 0.1399        | 3.0   | 762  | 0.3114          | 0.92     | 0.9472 |
-| 0.1615        | 4.0   | 1016 | 0.3309          | 0.9156   | 0.9436 |
+| 0.4682        | 1.0   | 254  | 0.4104          | 0.8711   | 0.9174 |
+| 0.2653        | 2.0   | 508  | 0.2804          | 0.8911   | 0.9276 |
+| 0.1757        | 3.0   | 762  | 0.2680          | 0.9067   | 0.9384 |
+| 0.1737        | 4.0   | 1016 | 0.3131          | 0.9067   | 0.9381 |
 
 
 ### Framework versions

runs/Jun16_07-14-15_3799b816b24a/events.out.tfevents.1718522701.3799b816b24a.1238.5

@@ -0,0 +1,3 @@
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+size 457