Training in progress epoch 2

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: 0.1349
-- Validation Loss: 0.2177
-- Train Accuracy: 0.9246
-- Epoch: 1
+- Train Loss: 0.0648
+- Validation Loss: 0.2339
+- Train Accuracy: 0.9291
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2565     | 0.1856          | 0.9278         | 0     |
 | 0.1349     | 0.2177          | 0.9246         | 1     |
+| 0.0648     | 0.2339          | 0.9291         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:435f087e1b1534907a7e4c5bfc9969400a50ecc25c20f49202d2e9f927ac97f7
+oid sha256:2f086763a5df6e9e1307413937aded5714f35ba4c8fa976d7bb4ca3dc2813b6f
 size 267951808