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: 0.7183
-- Accuracy: 0.9044
-- F1: 0.9367
+- Loss: 0.4511
+- Accuracy: 0.9178
+- F1: 0.9455
 
 ## Model description
 
@@ -39,21 +39,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 127  | 0.6919          | 0.8911   | 0.9289 |
-| No log        | 2.0   | 254  | 0.7053          | 0.9      | 0.9335 |
-| No log        | 3.0   | 381  | 0.7183          | 0.9044   | 0.9367 |
+| No log        | 1.0   | 254  | 0.3751          | 0.9133   | 0.9434 |
+| 0.0979        | 2.0   | 508  | 0.4147          | 0.9      | 0.9327 |
+| 0.0979        | 3.0   | 762  | 0.4443          | 0.9089   | 0.9393 |
+| 0.0387        | 4.0   | 1016 | 0.4511          | 0.9178   | 0.9455 |
 
 
 ### Framework versions

runs/Jun14_00-50-38_88b985c19838/events.out.tfevents.1718327292.88b985c19838.1237.23

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