Training in progress epoch 1

README.md

@@ -14,13 +14,13 @@ 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:
-- Train Loss: 0.1797
-- Validation Loss: 0.0573
-- Train Precision: 0.9166
-- Train Recall: 0.9249
-- Train F1: 0.9208
-- Train Accuracy: 0.9842
-- Epoch: 0
+- Train Loss: 0.0445
+- Validation Loss: 0.0501
+- Train Precision: 0.9278
+- Train Recall: 0.9367
+- Train F1: 0.9323
+- Train Accuracy: 0.9870
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1797     | 0.0573          | 0.9166          | 0.9249       | 0.9208   | 0.9842         | 0     |
+| 0.0445     | 0.0501          | 0.9278          | 0.9367       | 0.9323   | 0.9870         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265618792