Training in progress epoch 2

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-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1250
-- Validation Loss: 0.1739
-- Train Precision: 0.8243
-- Train Recall: 0.8188
-- Train F1: 0.8216
-- Train Accuracy: 0.9457
-- Epoch: 1
+- Train Loss: 0.1067
+- Validation Loss: 0.1824
+- Train Precision: 0.8287
+- Train Recall: 0.8193
+- Train F1: 0.8240
+- Train Accuracy: 0.9458
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1890     | 0.1811          | 0.8290          | 0.8053       | 0.8170   | 0.9445         | 0     |
 | 0.1250     | 0.1739          | 0.8243          | 0.8188       | 0.8216   | 0.9457         | 1     |
+| 0.1067     | 0.1824          | 0.8287          | 0.8193       | 0.8240   | 0.9458         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7ad2d9395eb576212d80f78063e5318f6d21765a4cb92fab95027bb0a0786b0f
 size 265606416