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 [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7051
-- Validation Loss: 0.8052
-- Train Accuracy: 0.6339
-- Train Precision: 0.6423
-- Train Recall: 0.6339
-- Train F1: 0.6373
-- Epoch: 0
+- Train Loss: 0.4399
+- Validation Loss: 0.9002
+- Train Accuracy: 0.6201
+- Train Precision: 0.6483
+- Train Recall: 0.6201
+- Train F1: 0.6274
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.7051     | 0.8052          | 0.6339         | 0.6423          | 0.6339       | 0.6373   | 0     |
+| 0.4399     | 0.9002          | 0.6201         | 0.6483          | 0.6201       | 0.6274   | 1     |
 
 
 ### Framework versions

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