Training in progress epoch 1

README.md

@@ -15,11 +15,11 @@ 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: 0.2709
-- Train Accuracy: 0.8942
-- Validation Loss: 0.2015
-- Validation Accuracy: 0.9211
-- Epoch: 0
+- Train Loss: 0.1421
+- Train Accuracy: 0.9505
+- Validation Loss: 0.2055
+- Validation Accuracy: 0.9318
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.2709     | 0.8942         | 0.2015          | 0.9211              | 0     |
+| 0.1421     | 0.9505         | 0.2055          | 0.9318              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3712049baa3df663712fd9f5a681fe31d2ed745cc2e3c7c88f2a6c41a7df26e0
+oid sha256:9904d2b0618e303e2a17680c6f25859f6d4e55a8e779fec567b2f2016ff1882a
 size 267955144