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: 0.1946
-- Validation Loss: 0.1260
-- Train Precision: 0.9282
-- Train Recall: 0.9581
-- Train F1: 0.9429
-- Train Accuracy: 0.9572
-- Epoch: 0
+- Train Loss: 0.0739
+- Validation Loss: 0.0931
+- Train Precision: 0.9577
+- Train Recall: 0.9714
+- Train F1: 0.9645
+- Train Accuracy: 0.9708
+- 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 |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1946     | 0.1260          | 0.9282          | 0.9581       | 0.9429   | 0.9572         | 0     |
+| 0.0739     | 0.0931          | 0.9577          | 0.9714       | 0.9645   | 0.9708         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265587984