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 [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.8159
-- Train Accuracy: 0.0795
-- Validation Loss: 2.4501
-- Validation Accuracy: 0.0871
-- Epoch: 1
+- Train Loss: 2.7022
+- Train Accuracy: 0.0816
+- Validation Loss: 2.3638
+- Validation Accuracy: 0.0892
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 2.9763     | 0.0766         | 2.5856          | 0.0839              | 0     |
 | 2.8159     | 0.0795         | 2.4501          | 0.0871              | 1     |
+| 2.7022     | 0.0816         | 2.3638          | 0.0892              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:588ed32f67f654337f92acf945c8cf46255aaccaa8a328ed8faf7e2dab8057f3
 size 484838604