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: 0.0649
-- Validation Loss: 0.2146
-- Train Accuracy: 0.9351
-- Epoch: 1
+- Train Loss: 0.0326
+- Validation Loss: 0.2450
+- Train Accuracy: 0.934
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.1321     | 0.1917          | 0.928          | 0     |
 | 0.0649     | 0.2146          | 0.9351         | 1     |
+| 0.0326     | 0.2450          | 0.934          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b4b6f84b61ced535f0d7ab41b09a876417f54c2268192bdda7afa615beabb4c8
 size 267951808