Training in progress epoch 2

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: 0.0544
-- Validation Loss: 0.0612
-- Train Precision: 0.9148
-- Train Recall: 0.9318
-- Train F1: 0.9232
-- Train Accuracy: 0.9822
-- Epoch: 1
+- Train Loss: 0.0344
+- Validation Loss: 0.0597
+- Train Precision: 0.9253
+- Train Recall: 0.9356
+- Train F1: 0.9304
+- Train Accuracy: 0.9836
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1990     | 0.0712          | 0.8974          | 0.9226       | 0.9098   | 0.9790         | 0     |
 | 0.0544     | 0.0612          | 0.9148          | 0.9318       | 0.9232   | 0.9822         | 1     |
+| 0.0344     | 0.0597          | 0.9253          | 0.9356       | 0.9304   | 0.9836         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9a08b21329becde3f2ec6e5d8cac973462c83d4ee6ca9decf5e920e07a005739
 size 265606416