Training in progress epoch 4

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: 2.7824
-- Train Accuracy: 0.0801
-- Validation Loss: 2.6089
-- Validation Accuracy: 0.0855
-- Epoch: 3
+- Train Loss: 2.7116
+- Train Accuracy: 0.0814
+- Validation Loss: 2.5571
+- Validation Accuracy: 0.0858
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 2.9968     | 0.0763         | 2.7521          | 0.0823              | 1     |
 | 2.8759     | 0.0783         | 2.6538          | 0.0835              | 2     |
 | 2.7824     | 0.0801         | 2.6089          | 0.0855              | 3     |
+| 2.7116     | 0.0814         | 2.5571          | 0.0858              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dc0193c8e90d6c2dc96f9f1abbc28de35c125351aab8e29bce7c569e0a6ddbfb
 size 484838604