Training in progress epoch 2

README.md

@@ -15,11 +15,11 @@ 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: 0.1421
-- Train Accuracy: 0.9505
-- Validation Loss: 0.2055
-- Validation Accuracy: 0.9318
-- Epoch: 1
+- Train Loss: 0.0879
+- Train Accuracy: 0.9714
+- Validation Loss: 0.2180
+- Validation Accuracy: 0.9305
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.2709     | 0.8942         | 0.2015          | 0.9211              | 0     |
 | 0.1421     | 0.9505         | 0.2055          | 0.9318              | 1     |
+| 0.0879     | 0.9714         | 0.2180          | 0.9305              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9904d2b0618e303e2a17680c6f25859f6d4e55a8e779fec567b2f2016ff1882a
+oid sha256:9effca326c26c3ae085d07f3ff4645b6f6722e15f4e53337b51a9d3f6ec1c40c
 size 267955144