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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0034
-- Accuracy: 0.9998
+- Loss: 0.0000
+- Accuracy: 1.0
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- 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
@@ -50,7 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0126        | 1.0   | 1123 | 0.0034          | 0.9998   |
+| 0.0           | 0.09  | 100  | 0.0000          | 1.0      |
+| 0.0           | 0.19  | 200  | 0.0000          | 1.0      |
+| 0.0           | 0.28  | 300  | 0.0000          | 1.0      |
+| 0.0           | 0.37  | 400  | 0.0000          | 1.0      |
+| 0.0           | 0.47  | 500  | 0.0000          | 1.0      |
+| 0.0           | 0.56  | 600  | 0.0000          | 1.0      |
+| 0.0           | 0.65  | 700  | 0.0000          | 1.0      |
+| 0.0           | 0.75  | 800  | 0.0000          | 1.0      |
+| 0.0           | 0.84  | 900  | 0.0000          | 1.0      |
+| 0.0           | 0.93  | 1000 | 0.0000          | 1.0      |
 
 
 ### Framework versions