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-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0193
-- Validation Loss: 0.7918
-- Train Accuracy: 0.8144
-- Epoch: 2
+- Train Loss: 0.0178
+- Validation Loss: 0.7694
+- Train Accuracy: 0.7938
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.0233     | 0.7613          | 0.8144         | 0     |
 | 0.0210     | 0.7611          | 0.8144         | 1     |
 | 0.0193     | 0.7918          | 0.8144         | 2     |
+| 0.0178     | 0.7694          | 0.7938         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7be982d62d64301061d5a8e4e240e0d7d6ca9411e37723baeab956133e56eb67
 size 267985864