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: 4.9271
-- Accuracy: 0.8422
-- F1: 0.8954
+- Loss: 0.3309
+- Accuracy: 0.9156
+- F1: 0.9436
 
 ## 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: 100
 - num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 254  | 3.5614          | 0.8578   | 0.9088 |
-| 0.0047        | 2.0   | 508  | 4.3430          | 0.8533   | 0.9052 |
-| 0.0047        | 3.0   | 762  | 3.9929          | 0.8489   | 0.9006 |
-| 0.0126        | 4.0   | 1016 | 4.9271          | 0.8422   | 0.8954 |
+| No log        | 1.0   | 254  | 0.2906          | 0.8844   | 0.9263 |
+| 0.2482        | 2.0   | 508  | 0.2648          | 0.9067   | 0.9371 |
+| 0.2482        | 3.0   | 762  | 0.3114          | 0.92     | 0.9472 |
+| 0.1236        | 4.0   | 1016 | 0.3309          | 0.9156   | 0.9436 |
 
 
 ### Framework versions

runs/Jun14_03-10-47_88b985c19838/events.out.tfevents.1718335234.88b985c19838.1237.43

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+size 457