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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.6463
-- Validation Loss: 3.5387
-- Train Accuracy: 0.3056
-- Epoch: 2
+- Train Loss: 3.4074
+- Validation Loss: 3.2592
+- Train Accuracy: 0.5667
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 3.6966     | 3.6944          | 0.0139         | 0     |
 | 3.6920     | 3.6912          | 0.0278         | 1     |
 | 3.6463     | 3.5387          | 0.3056         | 2     |
+| 3.4074     | 3.2592          | 0.5667         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:eea64676a06afb41aef89fe5e39ad81b3f5e262728d43cdbe1163bb113410a03
 size 268071880