End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6983
+- Loss: 1.5870
 
 ## Model description
 
@@ -40,23 +40,26 @@ 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
-- num_epochs: 5
+- num_epochs: 8
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 130  | 1.9611          |
-| No log        | 2.0   | 260  | 1.8001          |
-| No log        | 3.0   | 390  | 1.7215          |
-| 1.9905        | 4.0   | 520  | 1.7342          |
-| 1.9905        | 5.0   | 650  | 1.6983          |
+| No log        | 1.0   | 130  | 1.9587          |
+| No log        | 2.0   | 260  | 1.7889          |
+| No log        | 3.0   | 390  | 1.7015          |
+| 1.9762        | 4.0   | 520  | 1.6974          |
+| 1.9762        | 5.0   | 650  | 1.6412          |
+| 1.9762        | 6.0   | 780  | 1.6209          |
+| 1.9762        | 7.0   | 910  | 1.6294          |
+| 1.6723        | 8.0   | 1040 | 1.5870          |
 
 
 ### Framework versions
 
-- Transformers 4.40.0
+- Transformers 4.40.1
 - Pytorch 2.2.1+cu121
 - Datasets 2.19.0
 - Tokenizers 0.19.1