End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3354
+- Loss: 0.3571
 - Accuracy: 0.8630
 - F1: 0.8657
 - Precision: 0.8915
@@ -51,18 +51,19 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.187         | 1.0   | 672  | 0.3354          | 0.8630   | 0.8657 | 0.8915    | 0.8630 |
+| 0.1867        | 1.0   | 672  | 0.3783          | 0.8630   | 0.8657 | 0.8915    | 0.8630 |
+| 0.1441        | 2.0   | 1344 | 0.3571          | 0.8630   | 0.8657 | 0.8915    | 0.8630 |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1