End of training

README.md

@@ -17,8 +17,8 @@ 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: 0.6639
-- Accuracy: 0.7315
+- Loss: 0.5527
+- Accuracy: 0.7399
 
 ## Model description
 
@@ -43,21 +43,20 @@ 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: 4
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 108  | 0.5392          | 0.7130   |
-| No log        | 2.0   | 216  | 0.5054          | 0.7315   |
-| No log        | 3.0   | 324  | 0.6395          | 0.7315   |
-| No log        | 4.0   | 432  | 0.6639          | 0.7315   |
+| No log        | 1.0   | 87   | 0.5582          | 0.7110   |
+| No log        | 2.0   | 174  | 0.5495          | 0.7168   |
+| No log        | 3.0   | 261  | 0.5527          | 0.7399   |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.15.0
+- Datasets 2.16.1
 - Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
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 size 267832560