Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ 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: 0.1359
-- Validation Loss: 0.1916
-- Train Accuracy: 0.9278
-- Epoch: 1
+- Train Loss: 0.0654
+- Validation Loss: 0.2422
+- Train Accuracy: 0.925
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2522     | 0.1973          | 0.9231         | 0     |
 | 0.1359     | 0.1916          | 0.9278         | 1     |
+| 0.0654     | 0.2422          | 0.925          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:03e605ff773d3fe3c044e77b0e44b5299528275e17418a42ef275b6f823a1fc9
 size 267955144