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: 0.3131
-- Accuracy: 0.9067
-- F1: 0.9381
+- Loss: 0.6374
+- Accuracy: 0.9178
+- F1: 0.9452
 
 ## Model description
 
@@ -45,17 +45,16 @@ 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     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.4682        | 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 |
+| 0.0           | 1.0   | 254  | 0.5560          | 0.9022   | 0.9364 |
+| 0.0001        | 2.0   | 508  | 0.6414          | 0.9067   | 0.9375 |
+| 0.0021        | 3.0   | 762  | 0.6436          | 0.9156   | 0.9441 |
+| 0.0558        | 4.0   | 1016 | 0.6374          | 0.9178   | 0.9452 |
 
 
 ### Framework versions

runs/Jun17_04-28-04_a749722ad388/events.out.tfevents.1718599108.a749722ad388.519.14

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+size 457