Training in progress epoch 1

README.md

@@ -15,13 +15,13 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6938
+- Train Loss: 0.6834
 - Validation Loss: 0.7336
 - Train Precision: 0.4712
 - Train Recall: 0.4993
 - Train F1: 0.4848
 - Train Accuracy: 0.6975
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.6938     | 0.7336          | 0.4712          | 0.4993       | 0.4848   | 0.6975         | 0     |
+| 0.6834     | 0.7336          | 0.4712          | 0.4993       | 0.4848   | 0.6975         | 1     |
 
 
 ### Framework versions