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-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0332
+- Train Loss: 0.0091
 - Validation Loss: 0.0126
 - Train Precision: 0.2666
 - Train Recall: 0.4496
 - Train F1: 0.3347
 - Train Accuracy: 0.9967
-- 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 |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.0332     | 0.0126          | 0.2666          | 0.4496       | 0.3347   | 0.9967         | 0     |
+| 0.0091     | 0.0126          | 0.2666          | 0.4496       | 0.3347   | 0.9967         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a3962c1a87bdad6747d079d820429ed64298c0ef3d7249921bb4addf51676461
 size 260936976