Training in progress epoch 3

README.md

@@ -15,10 +15,10 @@ 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: 0.1848
-- Train Accuracy: 0.9453
-- Epoch: 2
+- Train Loss: 0.0245
+- Validation Loss: 0.2283
+- Train Accuracy: 0.9420
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.1604     | 0.1338          | 0.9465         | 0     |
 | 0.1000     | 0.1327          | 0.9475         | 1     |
 | 0.0544     | 0.1848          | 0.9453         | 2     |
+| 0.0245     | 0.2283          | 0.9420         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:01bb01c42b8182b41ffbeddd6432b3c6f1df279ecd5652cf539c53f9fa3de81a
 size 267951808