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: 0.0694
-- Validation Loss: 0.2903
-- Train Accuracy: 0.916
-- Epoch: 1
+- Train Loss: 0.0327
+- Validation Loss: 0.2860
+- Train Accuracy: 0.9223
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.1492     | 0.2260          | 0.9207         | 0     |
 | 0.0694     | 0.2903          | 0.916          | 1     |
+| 0.0327     | 0.2860          | 0.9223         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c3d088f1e4e8052db4e8a118fa5d6d6a676439e13e5f14f0523254c87b9b9a6c
 size 267955144